CuraDesk

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Product Details

Name

CuraDesk

Tagline

Revolutionizing Care, Redefining Efficiency

CareFlow Innovator

Name: CareFlow Innovator
Description: The CareFlow Innovator is a forward-thinking healthcare professional focused on enhancing patient experiences and operational efficiency. They value technology that streamlines processes and prioritize using data to inform decisions. They interact with CuraDesk to implement best practices that improve hospital workflows and overall patient care.
Demographics: Age: 35-50, Gender: Both, Education: Master's degree in Healthcare Administration or Nursing, Occupation: Hospital Operations Manager, Income Level: $80,000 - $120,000.
Background: Growing up in a family of healthcare providers sparked CareFlow Innovator's passion for medicine and helping others. After earning a master's degree in Healthcare Administration, they have spent 15 years in healthcare operations, working their way up from an entry-level position. They love hiking on weekends and are active in community health initiatives, using their experiences to drive improvements in hospital systems.
Psychographics: Motivated by a desire to enhance patient care, CareFlow Innovator values efficiency, data-driven decision-making, and employee satisfaction. They believe in continuous improvement in healthcare systems and are generally optimistic about the potential of technology to revolutionize patient outcomes. Their interests include health tech advancements and team collaboration.
Needs: A need for efficient resource allocation, reliable data analytics to drive decision-making, effective communication tools for staff and patients, and ongoing training for hospital staff on new technologies.
Pain: Frustrations with outdated manual processes, knowledge gaps in technology use among staff, difficulty in accessing real-time data, and a lack of integration between various hospital systems.
Channels: Preferred channels include hospital management forums, professional conferences, LinkedIn for networking, and health tech webinars. They also engage in face-to-face meetings with their teams and stakeholders to foster collaborative discussions.
Usage: Weekly engagement with CuraDesk occurs during staff meetings when streamlining workflows is discussed; daily interactions may involve data tracking and monitoring scheduling processes to ensure efficiency.
Decision: Decisions are driven by collaboration with department heads, analysis of performance metrics, feedback from staff and patients, and alignment with current healthcare trends and regulations.

Patient Experience Advocate

Name: Patient Experience Advocate
Description: The Patient Experience Advocate is a compassionate healthcare professional who focuses on improving patients' journeys through the healthcare system. They utilize CuraDesk to streamline appointment scheduling, enhance patient communication, and manage follow-ups to ensure a positive healthcare experience.
Demographics: Age: 30-45, Gender: Predominantly Female, Education: Bachelor's degree in Nursing, Public Health, or Social Work, Occupation: Patient Experience Manager, Income Level: $60,000 - $90,000.
Background: Passionate about patient care since childhood, the Patient Experience Advocate pursued a Bachelor's in Nursing. With eight years of experience, they transitioned from bedside nursing to a managerial role that focuses on holistic patient experience. They enjoy volunteering at local health fairs and spend free time reading about healthcare innovations.
Psychographics: Empathetic and consumer-driven, the Patient Experience Advocate believes in putting patients first and advocating for their needs. They value clear communication and strive to elevate the hospital's reputation through positive patient feedback. Their interests include health equity and patient advocacy community networks.
Needs: A need for effective patient communication tools, feedback collection mechanisms, scheduling automation for patient convenience, and training for staff on best practices in patient engagement.
Pain: Challenges include managing patient dissatisfaction, delays in appointment notifications, lack of personalized communication, and the need for comprehensive patient histories to facilitate informed interactions.
Channels: Utilizes multiple channels including social media for patient feedback, hospital websites for information dissemination, and community health forums for engagement with patients and families.
Usage: Engages with CuraDesk daily to review appointment schedules, analyze feedback from patients, and prepare training sessions for team members, reflecting a commitment to continuous improvement.
Decision: Decisions are influenced by direct patient feedback, analysis of patient satisfaction metrics, monthly meetings with hospital administrators, and collaboration with interdisciplinary teams to implement patient-centered changes.

Operational Efficiency Strategist

Name: Operational Efficiency Strategist
Description: The Operational Efficiency Strategist is a detail-oriented professional focused on maximizing efficiency in hospital management. Using CuraDesk, they analyze operational workflows and implement strategies that reduce costs while improving service quality.
Demographics: Age: 40-55, Gender: Both, Education: MBA or equivalent in Operations Management, Occupation: Chief Operating Officer of a Healthcare Facility, Income Level: $100,000 - $150,000.
Background: With a background in engineering, the Operational Efficiency Strategist made a career shift to healthcare operations, believing in the importance of efficient healthcare delivery. Over their 20-year career, they have held various positions that have advanced their understanding of hospital operations. They enjoy cycling and mentoring young professionals in the healthcare industry.
Psychographics: Driven by a passion for process optimization, this persona places importance on analytics, resource management, and team empowerment. They appreciate frameworks that promote both quality patient care and financial viability. Outside work, they are involved in sustainability projects within healthcare.
Needs: A requirement for comprehensive data analysis tools, automated reporting systems, effective communication channels for staff, and methodologies to measure operational success.
Pain: Experiences frustrations stemming from gradual internal resistance to change, data silos, unpredictability in resource management, and resistance from staff when implementing new tools.
Channels: Prefers channels like industry reports, operational efficiency seminars, professional networking sites, and direct interactions with software vendors for technology updates.
Usage: Engages with CuraDesk multiple times each day to access operational data, review performance metrics, and adjust strategies based on real-time information and performance reports.
Decision: Decisions are made based on data analytics, stakeholder conversations, and proven best practices aimed at driving operational effectiveness and achieving budget compliance.

Product Ideas

Smart Patient Portal: A user-friendly online portal for patients that allows easy access to their medical records, appointment scheduling, and direct communication with healthcare providers. This feature simplifies patient engagement and promotes better healthcare management.
Analytics-Driven Resource Optimization: Implement advanced analytics tools within CuraDesk to predict patient influx, staffing needs, and resource allocation, enabling proactive decision-making. This feature maximizes efficiency and reduces wait times, enhancing overall patient care.
Integrated Telehealth Platform: A fully integrated telehealth solution within CuraDesk, allowing medical staff to conduct virtual consultations, manage remote patient monitoring, and maintain patient health records seamlessly. This feature expands access to care and supports ongoing patient engagement.
Automated Patient Feedback System: Develop an automated system to collect and analyze patient feedback after visits, providing real-time insights into patient satisfaction and areas for improvement. This feature prioritizes patient experience and guides quality enhancement initiatives.
Mobile Health App Integration: An integration feature that allows patients to connect their mobile health apps to CuraDesk, enabling real-time sharing of health data and improving coordination of care. This feature enhances patient engagement and supports personalized treatment plans.
Cross-Platform Accessibility: Ensuring CuraDesk is accessible across various platforms and devices, enhancing usability for medical staff and patients. This feature broadens accessibility, ensuring users can efficiently manage healthcare tasks from anywhere.

Product Features

Personalized Health Dashboard

This feature presents a customized view of a patient's health metrics, including recent lab results, medications, and vital signs. It enhances user engagement by allowing patients to visually track their health trends, receive tailored health tips, and set personal health goals, ultimately fostering a proactive approach to their healthcare.

Requirements

Real-Time Health Metric Updates

User Story: As a patient, I want to view real-time updates of my health metrics so that I can stay informed about my condition and make timely decisions regarding my health.
Description: This requirement involves implementing a system that provides real-time updates of patient health metrics on the Personalized Health Dashboard. Patients and healthcare providers should have immediate access to the most current data, including lab results, medications, and vital signs, ensuring proactive decision-making. Integrating this functionality will enhance patient engagement and enable timely interventions, thus improving overall healthcare outcomes.
Acceptance Criteria: Patient accesses the Personalized Health Dashboard to view real-time updates of their health metrics after visiting the clinic for a routine check-up.

Given the patient has logged into the CuraDesk system, when they navigate to the Personalized Health Dashboard, then they should see the latest lab results, medications, and vital signs updated within 5 minutes of the data being entered by healthcare providers.

A healthcare provider reviews a patient's health metrics on the Personalized Health Dashboard during a telemedicine consultation.

Given that the healthcare provider is viewing a patient's profile, when they access the health metrics, then the provider should see all updates including lab results, medications, and vital signs reflected in real-time with a maximum delay of 30 seconds.

A patient uses the Personalized Health Dashboard to set health goals and track progress based on the most recent health metric updates.

Given the patient views their health metrics, when they select a health goal to track, then the dashboard should continuously reflect changes in metrics and adjustments to the goal outcomes in real-time.

During a medical emergency, a healthcare team accesses a patient's health metrics on the Personalized Health Dashboard for live updates.

Given that the healthcare team is responding to a medical emergency, when they access the patient's dashboard, then they should see all critical health metrics updated without delay, ensuring timely medical interventions.

The system administrator monitors the backend performance of real-time updates for the Personalized Health Dashboard regularly.

Given the system administrator is logged into the backend, when they check the health metrics update logs, then at least 95% of updates should reflect data entered within the specified time frame (5 minutes for patients, 30 seconds for providers).

A patient receives notifications via the Personalized Health Dashboard about significant changes in their vital signs based on real-time updates.

Given the patient's health metrics have shifted beyond preset thresholds, when the patient logs into the dashboard, then they should receive timely notifications highlighting the changes and recommended actions.

Goal-Setting Interface

User Story: As a patient, I want to set and track my personal health goals so that I can take control of my health and stay motivated to achieve my desired outcomes.
Description: The goal-setting interface requirement focuses on creating an intuitive feature that allows patients to set, track, and manage their personal health goals directly within their health dashboard. This functionality should provide guidance and reminders for the users, promoting greater accountability and motivation in achieving their health objectives. Incorporating this feature will enhance user engagement and foster a proactive healthcare management approach.
Acceptance Criteria: Patient sets a new personal health goal for increasing daily water intake on the CuraDesk dashboard.

Given the patient is logged into their health dashboard and on the goal-setting interface, when they enter 'Drink 2 liters of water daily' and save the goal, then the system should display the goal in the user's dashboard with a confirmation message.

Patient tracks progress toward their water intake goal on the health dashboard.

Given the patient has set a water intake goal, when they log their daily water consumption, then the dashboard should update their progress and provide a summary of their weekly intake.

Patient receives a reminder notification to drink water as per their goal setting.

Given the patient has a water intake goal set, when the reminder time arrives, then the patient should receive a push notification on their device prompting them to drink water.

Patient modifies an existing health goal related to exercise on the health dashboard.

Given the patient is logged into their health dashboard, when they edit their exercise goal from '30 minutes of jogging' to '45 minutes of jogging,' then the system should update the goal and reflect the changes immediately on the dashboard.

Patient deletes a previously set health goal from the dashboard.

Given the patient has an existing health goal, when they select the option to delete that goal, then the system should remove the goal from the dashboard and provide a confirmation message stating 'Goal deleted successfully.'

Patient receives personalized health tips based on their active goals.

Given the patient has set health goals, when they access their dashboard, then the system should display tailored health tips linked to those goals at the top of the interface.

Patient shares their health goals with their healthcare provider through the dashboard.

Given the patient has set health goals, when they select the 'Share with provider' option, then the system should securely transmit the goals to the designated healthcare provider’s portal, and the patient should receive a confirmation message.

Tailored Health Tips System

User Story: As a patient, I want to receive tailored health tips based on my metrics so that I can understand how to improve my health and make informed choices.
Description: This requirement entails developing a system that delivers personalized health tips based on the user's health data and history. By analyzing individual metrics and trends, the system will suggest actionable recommendations that encourage healthier lifestyles and management of chronic conditions. This feature is essential for increasing user engagement and providing valuable insights that support better health choices.
Acceptance Criteria: Patient views their Personalized Health Dashboard on the CuraDesk platform.

Given the patient is logged into CuraDesk, When they navigate to the Personalized Health Dashboard, Then they should see their recent lab results, medications, and vital signs updated in real-time.

Patient receives tailored health tips based on their health metrics.

Given the patient has health data inputted into the system, When the system analyzes the metrics and trends, Then it should provide at least three personalized health tips that are relevant to the patient's conditions or goals.

Patient sets personal health goals through the dashboard feature.

Given the patient is viewing their Personalized Health Dashboard, When they choose to set a health goal, Then the system should allow them to input and save at least one measurable health goal (e.g., weight loss target, exercise frequency).

Patient tracks progress on their health goals and receives updates.

Given the patient has set health goals, When they revisit their dashboard, Then they should see a progress indicator for each goal along with any health tips related to their current status.

Healthcare administrator reviews overall engagement metrics on the dashboard enhancement.

Given the healthcare administrator has access to the analytics section, When they view the engagement metrics, Then they should see a report showing user interactions with health tips and goal settings showcasing at least a 20% increase in user engagement over the previous month.

Patient receives alerts for overdue health metrics or scheduled tasks.

Given the patient has overdue health-related tasks (e.g., medication refills, scheduled check-ups), When they log into their dashboard, Then they should see alerts prompting them to address these overdue tasks.

User feedback is collected for the tailored health tips system.

Given the tailored health tips have been provided to users, When the users are prompted for feedback, Then at least 75% of users surveyed should indicate satisfaction with the relevance and applicability of the tips provided.

Visual Health Trends Graphs

User Story: As a patient, I want to see graphical representations of my health trends so that I can better understand my health changes and discuss them with my healthcare provider.
Description: The visual health trends graphs feature requires creating dynamic graphical representations of a patient's health metrics over time. This visualization will help patients clearly see trends in their health data, such as changes in vital signs or lab results. This functionality is crucial for enhancing user understanding of their health patterns, leading to better discussions with healthcare providers and more proactive health management.
Acceptance Criteria: Viewing Historical Health Data Trends for a Patient

Given a patient accesses their Personalized Health Dashboard, when they select the 'Health Trends' section, then the system should display a line graph representing at least the last six months of vital signs data.

Customizing Graph Time Frame

Given a patient is viewing their health trends graph, when they select a specific time frame from a dropdown menu (e.g., last week, last month, last year), then the system should update the graph to reflect the selected time period accurately.

Understanding Graphical Representation of Lab Results

Given a patient is viewing their health trends graph, when they hover over a data point representing lab results, then a tooltip should display the exact date and value of the lab result along with a brief explanation of its significance.

Engaging with Graphical Health Goals

Given a patient is on their Personalized Health Dashboard, when they click on an element within the health trends graph that denotes a health goal, then the system should redirect them to a detailed view of that goal and associated tips for improvement.

Exporting Health Trends Data

Given a patient has successfully logged into their account, when they select the 'Export Data' feature on their health trends graph, then the system should generate a downloadable CSV file of the displayed health metrics over the specified time frame.

Receiving Notifications on Significant Changes

Given a patient monitors their health metrics through the visual health trends graphs, when a significant change is detected in their vital signs or lab results, then the system should send a notification to the patient alerting them of this change with a suggestion to consult their healthcare provider.

Comparative Analysis with Average Metrics

Given a patient is viewing their health trends graph, when they enable the 'Compare to Average' feature, then the system should overlay the average health metrics for similar demographic groups on the patient's graph for reference.

Medication Reminder Notifications

User Story: As a patient, I want to receive reminders to take my medications so that I can adhere to my treatment plan and avoid missing doses.
Description: This requirement involves developing an automated notification system that reminds patients to take their medications according to their prescribed schedules. By integrating this feature within the Personalized Health Dashboard, patients will receive timely alerts on their devices, helping to improve adherence to medication regimens. This functionality is vital for enhancing patient outcomes and preventive care.
Acceptance Criteria: Patient receives notification to take medication according to their prescribed schedule.

Given a patient has medications scheduled, When the time for the medication arrives, Then the patient receives a push notification on their mobile device reminding them to take their medication.

Patient can customize their notification preferences for medication reminders.

Given a patient is logged into their Personalized Health Dashboard, When they access the notification settings, Then they can set their preferred notification times and choose the type (e.g., push notification, email).

Patient can receive reminders for upcoming medications at specified intervals.

Given a patient's medication regimen includes multiple doses per day, When the notification system is activated, Then the patient receives reminders at 15-minute intervals before each scheduled medication time.

Patient can view their medication reminder history.

Given a patient has received medication reminders, When they access the medication reminder history section of their dashboard, Then they can see a list of all past reminders with timestamps and the corresponding medications.

Patient receives a summary notification of missed doses.

Given a patient has missed taking their medication as scheduled, When the next notification occurs, Then the patient receives a summary notification indicating the missed doses and recommendations for next steps.

System logs and tracks the patient’s response to medication reminders.

Given a patient receives a medication reminder, When they acknowledge the reminder, Then the system logs the response in their health record for compliance tracking.

Healthcare provider can view patient adherence to medication reminders.

Given a healthcare provider has access to the patient's health records, When they review the patient's adherence report, Then they can see statistics on the patient’s response to medication reminders, including missed doses and timely responses.

Intelligent Appointment Reminders

An automated reminder system that intelligently schedules notifications for upcoming appointments based on patient preferences and past behaviors. This feature helps to minimize no-shows, enhances patient adherence to scheduled visits, and improves overall clinic efficiency by allowing patients to confirm or reschedule with ease.

Requirements

Automated SMS Notifications

User Story: As a patient, I want to receive automated reminders for my appointments via SMS, so that I can easily manage my schedule and reduce the chances of missing my appointment.
Description: This requirement involves integrating an automated SMS notification system that sends appointment reminders to patients based on their preferences. The system must be able to personalize messages for each patient and offer options for confirmations and rescheduling. This functionality aims to enhance patient adherence to appointments, reduce no-shows, and make it easier for patients to manage their schedules, significantly improving clinic efficiency and patient satisfaction.
Acceptance Criteria: Patient receives an SMS notification 24 hours prior to their scheduled appointment, tailored to their personal communication preferences.

Given a patient with a scheduled appointment, when the notification system triggers 24 hours before the appointment, then the patient should receive a personalized SMS reminder containing the appointment details and options to confirm or reschedule.

Patients can confirm their appointments via SMS in response to the reminder they receive.

Given a patient receives an SMS reminder, when they reply with 'Confirm', then their appointment status should update to confirmed in the system, and a confirmation message should be sent back.

Patients can reschedule their appointments through the SMS notification system after receiving a reminder.

Given a patient receives an SMS reminder, when they reply with 'Reschedule', then they should receive a follow-up message with available dates and times for rescheduling, and their original appointment should remain unchanged until they confirm a new date.

Patients who do not confirm or reschedule their appointments receive a follow-up reminder.

Given a patient who received a reminder 24 hours before their appointment without any response, when the appointment is less than 12 hours away, then they should receive a follow-up SMS reminder that reiterates the details and confirms the urgency of their response.

The SMS notification system logs all sent messages and patient responses for auditing and analytics purposes.

Given that notifications have been sent, when a system administrator queries the notification log, then they should find a comprehensive record of all SMS messages sent, including timestamps and patient responses.

The system allows patients to opt out of SMS notifications at any time through a simple reply.

Given a patient receives an SMS reminder, when they reply with 'Stop', then the system should cease all SMS communications with that patient and send a confirmation message of the opt-out.

The SMS notification service meets HIPAA compliance standards to protect patient privacy.

Given that the SMS notification feature is implemented, when reviewed by a compliance officer, then the system must demonstrate that it adheres to HIPAA regulations regarding patient data security and privacy standards.

Patient Preference Management

User Story: As a patient, I want to set my preferences for receiving appointment reminders, so that I can choose how and when I want to be reminded about my appointments.
Description: This requirement involves developing a user-friendly feature that allows patients to update their notification preferences regarding appointment reminders. Patients should be able to select their preferred communication channels (SMS, email, or calls), frequency of reminders, and additional options such as choosing the best time to be notified. This increases patient engagement and ensures they receive reminders in a manner that suits them best.
Acceptance Criteria: Patient Preference Setup for Notification Channels

Given the patient is logged into their account, when they navigate to the 'Notification Preferences' section and select their preferred communication channel, then the system should successfully save the preference and display a confirmation message.

Setting Frequency of Appointment Reminders

Given the patient has selected their preferred communication channel, when they choose their desired frequency of reminders (daily, weekly, or custom), then the system should save and apply this frequency for all future appointment notifications.

Selecting Best Time for Notifications

Given the patient is updating their notification preferences, when they choose a specific time for receiving notifications, then the system should validate the input and store the preference without any errors.

Testing Communication Channel Functionality

Given a patient has selected their preferred communication channels for appointment reminders, when an appointment reminder is due, then the system should send the reminder through the selected channel without delay or failure.

Reviewing and Editing Notification Preferences

Given a patient is in their account settings, when they access the 'Notification Preferences' page, then they should be able to see their current settings and edit any option (channel, frequency, time) without errors.

Receiving Feedback on Notification Preferences

Given the patient has successfully updated their preferences, when they complete the update, then the system should prompt them to provide feedback on the process, ensuring continuous improvement of the feature.

Intelligent Rescheduling Options

User Story: As a patient, I want to reschedule my appointment directly from the SMS reminder, so that I can quickly find an alternative time that works better for me.
Description: This requirement entails implementing an intelligent rescheduling system that allows patients to easily reschedule their appointments directly from the reminder notifications. The system will suggest alternative time slots based on the clinic's availability and the patient's past scheduling behavior. This will provide a seamless experience for patients and decrease the likelihood of no-shows.
Acceptance Criteria: Patient receives an appointment reminder via SMS or email two days before the scheduled appointment, with an option to reschedule their appointment directly from the notification.

Given a patient has an upcoming appointment, When the reminder is sent, Then the notification includes options for rescheduling that are tailored to the patient's previous appointment times and preferences.

A patient clicks the reschedule link in their appointment reminder and is presented with alternative time slots based on the clinic's availability.

Given the patient selects the reschedule option, When the patient views alternative time slots, Then the system displays at least three alternative time slots that do not conflict with existing appointments.

The patient successfully selects a new appointment time through the rescheduling options and receives a confirmation notification.

Given the patient chooses a new appointment time, When they confirm the new time, Then the system updates the appointment in the patient record and sends a confirmation SMS or email to the patient.

The intelligent rescheduling system learns from patient behavior and preferentially suggests dates and times based on their past appointments.

Given a patient has a history of appointments, When the rescheduling feature is used, Then the system prioritizes suggesting times that the patient has previously accepted over others.

A patient attempts to reschedule their appointment but chooses a time slot that conflicts with another appointment.

Given a patient selects an unavailable time slot, When they attempt to confirm the change, Then the system must prompt an error message indicating the conflict and request a different time.

The clinic administrator reviews rescheduling data to analyze the effectiveness of the reminder and rescheduling feature.

Given the clinic administrator accesses the analytics dashboard, When examining rescheduling patterns, Then the dashboard displays metrics such as the percentage of reschedules made through reminders and the average time to reschedule.

Analytics Dashboard for Clinics

User Story: As a clinic administrator, I want to access an analytics dashboard that shows me appointment and reminder statistics, so that I can make data-driven decisions to improve patient adherence and clinic efficiency.
Description: This requirement involves creating an analytics dashboard that provides clinic administrators with insights into appointment statistics, including no-show rates, reminder effectiveness, and patient responses to notifications. This feature will help clinics evaluate the success of reminder strategies and adjust their approaches for improved outcomes, ultimately enhancing overall operational efficiency.
Acceptance Criteria: Dashboard displays real-time analytics for no-show rates based on appointment history over the last quarter.

Given the clinic administrator accesses the analytics dashboard, When the dashboard loads, Then the no-show rates for the last quarter should be displayed accurately and updated in real-time.

Clinic administrators can filter appointment statistics by date range, appointment type, and patient demographics.

Given the clinic administrator is on the analytics dashboard, When they apply filters for date range, appointment type, and patient demographics, Then the displayed statistics should update to reflect the selected filters accurately.

The effectiveness of appointment reminders is assessed through patient response rates on a monthly basis.

Given the clinic administrator views the analytics dashboard, When they select a monthly report on reminder effectiveness, Then the patient response rates should be calculated and displayed clearly for the selected month.

The dashboard provides a comparative analysis of no-show rates before and after the implementation of the intelligent appointment reminder system.

Given the clinic administrator accesses the comparison feature, When they view no-show rates from before and after the reminder system implementation, Then the dashboard should present a clear and actionable comparison of no-show rates.

Clinic administrators receive alerts for high no-show rates or low response rates to reminders.

Given the clinic administrator has set notification preferences, When the dashboard identifies a high no-show rate or low response rate, Then the administrator should receive an automated alert via email or within the dashboard.

The analytics dashboard should be responsive and accessible from various devices such as desktops, tablets, and smartphones.

Given the clinic administrator accesses the dashboard from any device, When the dashboard is rendered, Then the layout should adjust appropriately without loss of functionality or visibility.

The analytics dashboard offers export functionality for appointment data and statistics.

Given the clinic administrator is viewing the analytics dashboard, When they initiate a data export, Then the system should generate a downloadable file (CSV, PDF) containing the displayed appointment statistics and analytics.

Multi-Language Support

User Story: As a non-English speaking patient, I want to receive appointment reminders in my preferred language, so that I can fully understand the information provided and manage my appointments effectively.
Description: This requirement entails implementing multi-language support for the appointment reminder system, allowing patients to receive notifications in their preferred language. This feature is essential for clinics serving diverse populations, increasing accessibility and ensuring that all patients are adequately informed about their appointments.
Acceptance Criteria: Patient receives appointment reminder in their preferred language based on profile settings.

Given that a patient has selected their preferred language in the profile settings, when the appointment reminder is generated, then the message should be sent in the selected language.

Automated reminders are sent out in different languages based on patient demographics.

Given a diverse patient demographics list, when the appointment reminders are triggered, then each patient receives the reminder in their corresponding preferred language as per their profile.

Patients can change their preferred language for appointment reminders through the patient portal.

Given that a patient is logged into their portal, when they update their language preference and save changes, then the system should reflect this change in future appointment reminder notifications.

A clinic admin can view appointment reminders sent in different languages for reporting.

Given that an admin is accessing the appointment reminder logs, when they filter reminders by language, then the system should display reminders sent in each selected language.

Testing the effectiveness of multi-language support in reducing no-show rates.

Given that multi-language reminders are implemented, when comparing no-show rates before and after implementation, then the rate should decrease by at least 15% within the first three months.

Patients receive an option to confirm or reschedule appointment reminders in their preferred language.

Given that a patient receives a reminder, when they respond to confirm or reschedule, then the interaction should be in the language of their preference as stored in their profile.

System handles new languages added to patient preferences without errors.

Given that a new language is added to the system, when a patient sets this language as their preference, then the appointment reminder should be correctly generated and sent in the new language without any errors.

Secure Provider Messaging

A secure messaging system that facilitates direct communication between patients and their healthcare providers. This feature empowers patients to ask questions, clarify medication instructions, or discuss concerns directly, enhancing the relationship with their providers and ensuring that they feel supported throughout their care journey.

Requirements

End-to-End Encryption

User Story: As a patient, I want my messages to be encrypted so that I can communicate with my healthcare provider without worrying about my personal health information being exposed.
Description: The Secure Provider Messaging feature must implement end-to-end encryption to ensure that all messages exchanged between patients and healthcare providers are securely transmitted and protected from unauthorized access. This requirement is vital as it enhances patient trust and confidentiality, complying with healthcare regulations such as HIPAA, protecting sensitive patient information, and ensuring that communication remains private and secure throughout the exchange process. The implementation of this encryption will also require updating the system architecture to support secure token generation and management, as well as user authentication protocols to verify the identities of parties involved in the communication.
Acceptance Criteria: Messaging between patients and healthcare providers under secure conditions.

Given a patient initiates a message to their healthcare provider, when the message is sent, then the message should be encrypted end-to-end and not readable by any third parties. The system should confirm encryption success before sending.

Verification of user identities during secure messaging.

Given both the patient and provider are authenticated, when a message is exchanged, then the system should verify the identities of both parties through secure token management, ensuring only authorized users can participate in the conversation.

Ensuring compliance with healthcare regulations during message transmission.

Given messages are sent between patients and providers, when a message is sent, then it must meet HIPAA compliance standards for encryption, and audit logs should be generated for each message, maintaining a record of all communications.

Ensuring messages cannot be intercepted during transmission.

Given a patient sends a message, when it is transmitted, then no interception should be possible, ensuring that both the sender and recipient can only access the messages through their authenticated accounts.

Testing end-to-end encryption under different network conditions.

Given a patient and provider are communicating, when different network conditions are simulated, then messages must still encrypt and decrypt correctly without data loss, failures, or delay beyond standard thresholds.

User experience of sending and receiving encrypted messages within the application.

Given a user (patient or provider) sends a message, when the message is received, then the user should experience no delay, with a user-friendly interface clearly indicating the security status of the message (encrypted/unreadable by others).

User Authentication Mechanism

User Story: As a healthcare provider, I want a secure login process that verifies my identity so that I can ensure that only authorized personnel access patient messages.
Description: The Secure Provider Messaging feature must include a robust user authentication mechanism that requires patients and healthcare providers to verify their identity before accessing message functionalities. This requirement is crucial to ensure that only authorized individuals can access and send messages, enhancing the security of the platform and preventing unauthorized users from interacting with sensitive data. The authentication system should support multiple methods, including multi-factor authentication (MFA), to strengthen security measures and mitigate risks associated with unauthorized access. This will contribute to a secure messaging environment that builds confidence among users.
Acceptance Criteria: Patient Login using Multi-Factor Authentication

Given a patient is on the Secure Provider Messaging login page, when the patient enters their credentials and completes the multi-factor authentication steps (e.g., receiving a code via SMS), then the patient should gain access to the messaging feature successfully.

Provider Login via Secure Authentication

Given a healthcare provider accesses the Secure Provider Messaging system, when the provider enters their username and password followed by completing their designated security questions, then the provider should be granted access to their messages without any errors.

Unauthorized Access Attempt

Given a user attempts to log in to the Secure Provider Messaging system with incorrect credentials, when three failed attempts occur, then the system should lock the user out and require additional verification for re-entry.

Password Recovery Process

Given a patient has forgotten their password, when the patient initiates the password recovery process and answers the security questions correctly, then the patient should receive a link to reset their password via email.

Session Timeout for Inactivity

Given a user is logged into the Secure Provider Messaging system, when the user is inactive for 15 minutes, then the system should automatically log the user out and require re-authentication to regain access.

Secure Messaging History Access

Given a patient is logged into the Secure Provider Messaging system, when the patient navigates to their messaging history, then the patient should only see messages corresponding to their account, ensuring no sensitive data is exposed to unauthorized users.

Secure Data Transmission Protocol

Given the messaging feature is in use, when a patient sends a message to their provider, then the message should be transmitted using secure encryption protocols to prevent unauthorized interception.

Message Archiving and Retrieval

User Story: As a patient, I want to be able to retrieve past messages with my healthcare provider so that I can refer back to previous discussions and instructions.
Description: The Secure Provider Messaging feature must offer a comprehensive message archiving and retrieval system that allows both patients and healthcare providers to access historical messages and important communications easily. This requirement is essential for providing continuity of care and ensuring that all parties involved can reference previous interactions, which can improve care coordination and reduce misunderstandings. The archiving solution should include categorization, search functionalities, and filtering options for efficient retrieval of messages, while ensuring compliance with data retention policies stipulated by healthcare regulations, thus balancing accessibility with security concerns.
Acceptance Criteria: Accessing Archived Messages

Given a patient is logged into their CuraDesk account, when they navigate to the 'Archived Messages' section, then they should see a chronological list of all messages exchanged with their healthcare provider, with timestamps and sender information.

Searching Messages by Keywords

Given a healthcare provider is in the message archiving system, when they enter specific keywords in the search bar, then the system should retrieve all messages containing those keywords and display them sorted by date.

Filtering Messages by Date Range

Given a patient has accessed the archived messages, when they apply a date range filter, then only messages sent within that range should be displayed, ensuring no messages outside the specified dates are visible.

Categorizing Archived Messages

Given a healthcare provider has archived a message, when they categorize the message under specific tags (e.g., Medication, Appointment), then the message should be retrievable using those tags in the future.

Compliance with Data Retention Policies

Given that the message archiving system has been implemented, when an audit is conducted, then it should demonstrate compliance with healthcare regulations regarding data retention and deletions.

Restoring Deleted Messages

Given a patient has accidentally deleted a message, when they access the 'Restore' function within 30 days of deletion, then they should be able to successfully retrieve and view the deleted message.

User Permissions for Message Access

Given that multiple patient users exist within the same healthcare provider organization, when accessing archived messages, then the system should only allow users to view messages relevant to their own interactions, ensuring privacy and security.

Notification System

User Story: As a patient, I want to receive alerts when my healthcare provider sends me a message so that I can respond promptly and stay informed about my health.
Description: The Secure Provider Messaging feature needs to include a notification system that alerts patients and healthcare providers when new messages are received. This requirement is important for ensuring timely communication, enhancing responsiveness, and fostering better relationships between patients and providers. The notification system should allow users to customize alert preferences, including push notifications, email alerts, and in-app notifications, enabling users to stay informed about new messages without having to log into the system constantly. This promotes user engagement and ensures critical messages are not overlooked.
Acceptance Criteria: User receives a notification for a new message from their healthcare provider while using the CuraDesk platform.

Given the user has opted in for push notifications, When a healthcare provider sends a new message to the user, Then the user should receive a push notification alerting them of the new message within 5 seconds.

User customizes notification preferences in their CuraDesk account settings.

Given the user is in the notification settings section, When the user selects their preferred notification methods (push, email, in-app), Then the selected methods should be saved and applied immediately without the need for a system refresh.

Users receive email alerts for new messages when they are not logged into the CuraDesk app.

Given the user has enabled email notifications, When a new message is received and the user is logged out, Then an email alert should be sent to the user’s registered email address within 5 minutes of the message being sent.

A healthcare provider monitors the receipt of messages and corresponding notifications sent to patients.

Given a healthcare provider has sent multiple messages, When they check their message log, Then they should see a confirmation of whether notifications were sent successfully for each message sent.

User receives in-app notifications for new messages when actively using the CuraDesk platform.

Given the user is logged into the CuraDesk app, When a new message is received, Then an in-app notification should appear on the screen without disrupting the user’s current activity.

User detects that no notifications are received for new messages after settings have been configured.

Given the user has set their notification preferences, When the user tests the system by sending messages, Then they must receive a notification for each message sent to confirm the settings are functioning correctly.

User-Friendly Interface

User Story: As a patient, I want a simple and intuitive messaging interface so that I can easily communicate with my healthcare provider without confusion.
Description: The Secure Provider Messaging feature must provide a user-friendly interface that allows patients and healthcare providers to easily navigate the messaging system. This requirement is essential for ensuring that users, including those who may not be tech-savvy, can efficiently send, read, and manage their messages without confusion. The design should incorporate intuitive layouts, clear icons, and streamlined workflows for composing, replying, and searching messages. Ensuring that the messaging interface is accessible on various devices, including mobile phones and tablets, will enhance user adoption and satisfaction, ultimately contributing to improved communication in patient care.
Acceptance Criteria: Patient initiates a message to their healthcare provider through the Secure Provider Messaging interface to inquire about medication instructions.

Given that the patient is logged into their account, when they select the messaging feature, then they should be able to easily locate and click on the 'New Message' button, type their inquiry, and send it without any confusion.

Healthcare provider receives and reads a patient message within the Secure Provider Messaging interface.

Given that a patient has sent a message, when the healthcare provider logs into the system, then they should see a notification in their inbox alerting them of the new message and be able to read it without navigating through unclear menus or multiple screens.

Patient searches for past messages with their healthcare provider using the search function in the messaging system.

Given that the patient wants to find previous messages, when they enter relevant keywords into the search bar and click 'Search', then the system should display all matching messages organized by date, ensuring ease of access and clarity.

Healthcare provider responds to a patient's message regarding appointment details via the Secure Provider Messaging system.

Given that the healthcare provider has read the patient's message, when they click the 'Reply' button, then they should be able to compose a response and send it in a simple, straightforward manner without distracting elements on the interface.

Patient accesses the messaging system on a mobile device to communicate with their healthcare provider.

Given that the patient is using a mobile device, when they access the messaging feature, then the layout should be fully responsive, allowing them to navigate, compose, and send messages easily without layout issues or excessive scrolling.

User navigates the messaging interface to review existing messages with their healthcare provider.

Given the user wishes to review previous conversations, when they access the messaging interface, then they should be able to clearly see a list of all conversations in a chronological order and select any thread to view the entire conversation history without confusion.

Medication Management Tool

An interactive feature that helps patients manage their medications effectively by providing reminders, dosage information, and refill alerts. This tool improves medication adherence, reduces the likelihood of missed doses, and empowers patients to take control of their health by understanding their treatment protocols better.

Requirements

Medication Reminders

User Story: As a patient, I want to receive reminders for my medications so that I can ensure I take them at the right times and maintain my health.
Description: The Medication Reminders requirement features a scheduling system that generates customized alerts for patients to take their medications. This functionality will allow patients to receive notifications via the mobile application or SMS, ensuring they stay on track with their treatment plans. It will also include options to customize the timing and frequency of reminders based on individual prescriptions. This requirement is critical for improving medication adherence, minimizing missed doses, and promoting the overall well-being of patients by fostering independence in medication management.
Acceptance Criteria: Patient sets up personalized medication reminders in the CuraDesk application.

Given the patient has logged into the CuraDesk application, when they navigate to the Medication Management Tool and input their medication schedule, then the application should successfully save the schedule and provide confirmation of the setup.

Patient receives a timely medication reminder notification.

Given the patient has configured their medication reminders, when the scheduled time for a reminder occurs, then the patient should receive a notification via the mobile app or SMS as specified in their preference.

Patient modifies an existing medication reminder and saves the changes.

Given the patient has an existing medication reminder, when they change the timing or frequency of the reminder in the CuraDesk application and confirm the changes, then the application should update the reminder accordingly and show a success message.

Patient receives alerts for medication refills.

Given the patient has a medication that requires a refill, when the refill date approaches as configured, then the patient should receive an alert notification to remind them to refill their medication.

Patient checks their medication reminder history.

Given the patient wants to review their medication reminders, when they navigate to the reminder history section in the CuraDesk application, then they should see a list of past reminders along with their statuses (missed/on time).

Patient encounters an issue with receiving reminders and seeks help.

Given the patient has not received their scheduled reminder, when they report the issue through the help feature, then the CuraDesk support system should log the issue and provide an automated response with potential solutions.

Dosage Information Display

User Story: As a patient, I want to see detailed dosage information for my medications so that I can understand how to take them properly and avoid any mistakes.
Description: The Dosage Information Display requirement involves creating an interactive interface that provides patients with clear and comprehensive dosage instructions for their prescriptions. This feature will include easy-to-understand visuals and textual information regarding the correct dosages, frequencies, and methods of intake. Additionally, it will offer alerts for potential medication interactions or contraindications. This requirement is essential for educating patients about their medications, fostering safe administration, and decreasing the likelihood of errors in medication intake.
Acceptance Criteria: Patient accesses medication management tool to view dosage information for prescribed medications.

Given the patient has an active prescription, when they access the medication management tool, then the system displays clear dosage instructions, including timing, frequency, and method of intake for each medication.

Patient receives a reminder to take their medication as per the prescribed dosage information.

Given the patient’s medication schedule, when the reminder is triggered, then the patient receives a notification at least 15 minutes prior to the scheduled dosage time via their preferred communication method.

Patient checks for potential medication interactions or contraindications when viewing dosage information.

Given the patient is viewing their dosage information, when there are known interactions or contraindications for the prescribed medications, then the system displays alerts with detailed explanations and recommendations for action.

Patient interacts with dosage information visuals for better understanding of their medication regimen.

Given the patient is using the medication management tool, when they hover over or click on dosage visuals, then the system displays additional contextual information regarding dosage specifics and any relevant usage tips.

Healthcare provider updates a patient’s prescription in the system, impacting dosage information.

Given the healthcare provider modifies the patient’s medication prescription, when the changes are saved, then the medication management tool dynamically updates within 5 minutes to reflect the new dosage instructions and alerts the patient when they next log in.

Patient wishes to print or export their dosage information for personal use or for a caregiver.

Given the patient requests to print or export their dosage information, when they select the option, then the system generates a downloadable PDF that includes all relevant dosage instructions and alerts formatted clearly for ease of use.

Patient reviews their medication adherence over time using the management tool.

Given the patient has been using the tool for at least one month, when they access the adherence report, then the system displays a clear visual representation of their adherence metrics, including missed doses and trends over time, along with recommendations for improvement.

Refill Alerts

User Story: As a patient, I want to receive alerts when I need to refill my medications so that I don't run out and can maintain my treatment schedule.
Description: The Refill Alerts requirement establishes a notification system that proactively reminds patients of upcoming medication refills based on their prescribed treatment plans. By integrating with the pharmacy management system, this feature will provide alerts ahead of time, allowing patients to arrange for refills without interruption to their medication schedules. This capability aims to reduce the risks of running out of essential medications and supports patients in adhering to their treatment protocols.
Acceptance Criteria: Patient receives a refill alert notification via the CuraDesk app three days before their medication runs out.

Given a patient with a medication that has a refill alert set for three days prior to its end date, when the notification system is triggered, then the patient should receive an alert on their CuraDesk app.

Patient can view their upcoming medication refill dates in the app's dashboard.

Given a patient with medications scheduled for refill alerts, when they access the medication management dashboard, then all upcoming refill dates should be displayed clearly.

Patient receives a refill alert through email if they have opted in for email notifications.

Given a patient who has opted into email notifications for medication refills, when a refill alert is generated, then an email notification should be sent to the patient's registered email address.

Pharmacy system integrates correctly to allow automatic update of refill alerts based on medication stock levels.

Given the pharmacy management system is integrated with CuraDesk, when a medication's stock level is updated, then the refill alert system should automatically adjust the notifications based on patients' prescription fills.

Patient can customize their alert settings for refill notifications within the CuraDesk app.

Given a patient is in the settings menu of the CuraDesk app, when they select the frequency and method of refill alerts, then their preferences should be saved and applied to future notifications.

Patients receive a confirmation notification when a refill request is successfully sent to the pharmacy.

Given a patient has requested a medication refill through the CuraDesk app, when the refill request is processed, then the patient should receive a confirmation alert indicating the request has been submitted.

Medication History Tracker

User Story: As a patient, I want to track my medication history so that I can share this information with my healthcare provider and monitor my adherence to the treatment plan.
Description: The Medication History Tracker requirement enables patients to maintain a comprehensive log of their medication intake and history over time. This feature will include the ability to record when medications were taken, missed doses, and any noted side effects. By providing patients with an accessible history, it aids in discussions with healthcare providers during appointments. This functionality not only empowers patients to take control of their health but also enhances communication with medical professionals regarding medication efficacy and side effects.
Acceptance Criteria: Patient records their medication intake for the first time using the Medication History Tracker.

Given the patient has logged in to the CuraDesk platform, when they access the Medication History Tracker, then they shall be able to add a new medication entry with the correct dosage, time taken, and any side effects noted.

Patient updates an existing medication log after a missed dose.

Given the patient views their medication history, when they select a previously logged medication, then they shall be able to update the log to reflect a missed dose and provide an optional reason for the missed dose.

Patient reviews their complete medication history during a healthcare appointment.

Given the patient has logged multiple medication entries, when they access the Medication History Tracker, then they shall see a comprehensive list of all medications taken, missed doses, and side effects within the past 30 days.

Patient receives reminders for scheduled medication intake based on their history.

Given the patient has set up their medication schedule within the Medication History Tracker, when the scheduled time for medication intake arrives, then the patient shall receive a notification reminder via their preferred method (email or app notification).

Healthcare provider accesses the patient's medication history during a consultation.

Given the patient has shared their medication history with their healthcare provider, when the provider accesses the patient's information, then they shall see the complete medication intake log, including any missed doses and noted side effects.

Patient receives alerts for medication refills based on their intake.

Given the patient has recorded their medication intake regularly, when the medication's remaining supply falls below a predefined threshold, then the patient shall receive an alert prompting them to refill their medication.

Patient uses the Medication History Tracker on a mobile device.

Given the patient is accessing the Medication History Tracker on their mobile device, when they add or update medication entries, then the interface shall remain user-friendly and responsive, ensuring no loss of entered data during transitions.

Medication Interaction Checker

User Story: As a patient, I want to check if my medications interact with others I am taking so that I can avoid any harmful side effects or complications.
Description: The Medication Interaction Checker requirement provides an interactive tool that allows patients to check for potential interactions between their prescribed medications and any over-the-counter drugs or supplements they might be taking. By inputting their current medication list, patients can receive real-time alerts regarding possible interactions and advice on next steps. This capability is crucial for preventing adverse drug interactions and fostering safe medication practices for patients looking to manage their health effectively.
Acceptance Criteria: Patient checks for medication interactions before a scheduled appointment with their doctor, inputting medications prescribed by their healthcare provider and any over-the-counter supplements they use.

Given the patient is on the Medication Interaction Checker page, when they input a list of medications and supplements, then the system should provide a list of any potential interactions with clear warnings and advice on next steps.

A patient receives a notification from the Medication Interaction Checker after inputting new over-the-counter medication they wish to take alongside their regular prescriptions.

Given the patient has previously entered their medication list, when they add a new over-the-counter drug, then the system should automatically re-check for interactions and send a real-time alert if any are found.

A healthcare professional reviews the patient's medication list using the Medication Interaction Checker during a routine check-up to ensure safety before prescribing new medication.

Given the healthcare professional accesses the patient’s Medication Interaction Checker history, when they review potential interactions, then they should see an up-to-date report of interactions, including severity levels and suggestions for alternatives, if applicable.

A patient uses the Medication Interaction Checker after receiving a prescription at the pharmacy to confirm there are no interactions with their current medications.

Given the patient is at the pharmacy, when they input their newly prescribed medication into the checker, then they should receive an immediate confirmation of whether there are any interactions or if their existing medications are safe to continue.

A patient regularly inputs their medications into the Medication Interaction Checker to proactively manage their health and stay informed about any interactions.

Given the patient has a regular schedule for checking their medications, when they use the tool at least once a month, then they should receive reminders to update their medication list and check for interactions, ensuring adherence to safe medication practices.

A caregiver uses the Medication Interaction Checker on behalf of a patient who is unable to manage their own medications due to health conditions.

Given that the caregiver is logged in as the patient's representative, when they input medications for the patient, then the system should allow them to receive alerts and reports, ensuring proactive care management for the patient.

Health Resource Library

A comprehensive library of health resources, including articles, videos, and FAQs tailored to individual patient needs. This feature enhances patient knowledge and encourages informed decision-making regarding their health and treatment options, ultimately fostering a more engaged and proactive patient.

Requirements

Resource Categorization

User Story: As a patient, I want to easily find health resources related to my specific medical condition so that I can better understand my treatment options and make informed decisions about my health.
Description: The Health Resource Library must include robust categorization capabilities, allowing users to easily navigate through articles, videos, and FAQs based on specific medical conditions, treatment options, and general health topics. This feature should use tags, filters, and search functionality to enhance user experience and ensure relevant content is easily accessible, ultimately leading to improved patient knowledge and engagement.
Acceptance Criteria: User searches for health resources related to diabetes management.

Given the user is on the Health Resource Library, when they enter 'diabetes management' in the search bar, then they should see relevant articles, videos, and FAQs pertaining to diabetes management categorized correctly.

User selects a filter for articles on 'cardiovascular health'.

Given the user is viewing the Health Resource Library, when they select the filter for 'cardiovascular health', then only articles, videos, and FAQs related to cardiovascular health should be displayed without irrelevant content.

User browses health topics using tags.

Given the user is browsing resources in the Health Resource Library, when they click on a tag labeled 'mental health', then they should be shown all resources tagged under 'mental health', ensuring ease of navigation through related topics.

User accesses the Health Resource Library with accessibility features enabled.

Given the user has enabled accessibility settings, when they navigate the Health Resource Library, then they should have full access to resources with screen-reader compatibility and appropriate text resizing options.

User views the most popular resources in the library.

Given the user is in the Health Resource Library, when they navigate to the 'Most Popular' section, then they should see a list of the top five most accessed articles, videos, and FAQs, sorted by user engagement metrics.

Personalization Engine

User Story: As a patient, I want to receive personalized recommendations for health articles and videos so that I can access the most relevant information for my specific health needs without spending excessive time searching.
Description: The library should include a personalization engine that recommends health resources based on individual patient profiles, including their medical history, preferences, and interests. This feature will enhance patient engagement by providing tailored content that resonates with their unique situation, thereby encouraging more proactive and informed health management.
Acceptance Criteria: Personalized Resource Recommendations for New Patients

Given a new patient registration, when the patient inputs their medical history and preferences, then the personalization engine should suggest at least three relevant health resources from the library that match the patient's profile.

Updating Recommendations Based on Changes in Patient Profile

Given that a patient updates their medical history or preferences, when the personalization engine processes these changes, then it should provide updated health resource recommendations that reflect the new profile within 5 minutes.

Resource Engagement Metrics Tracking

Given that a patient accesses the recommended health resources, when they interact with the content (viewing, sharing, saving), then the system should track these actions and generate engagement metrics that can be accessed by healthcare administrators.

User Feedback Collection on Recommendations

Given that a patient has accessed personalized resources, when they provide feedback on their relevance and usefulness, then the personalization engine should log this feedback and adjust future recommendations accordingly.

Ensuring Content Diversity in Recommendations

Given the patient profile consists of specific health interests, when the personalization engine suggests resources, then it should ensure that at least 30% of recommended content comes from diverse health topics to encourage well-rounded patient education.

Personalization Engine Performance under Load

Given a high volume of concurrent users accessing the resource library, when the personalization engine is in operation, then it should maintain a response time of under 3 seconds for generating personalized recommendations.

Accessibility of Health Resources

Given a patient with disabilities, when they access the health resource library through assistive technologies, then all recommended resources should be compliant with accessibility standards (WCAG 2.1) to ensure all patients can engage with the content.

Multimedia Support

User Story: As a patient, I want to access health resources in different formats, such as videos and articles, so that I can choose the medium that I find most helpful for understanding my health conditions.
Description: The Health Resource Library must support diverse multimedia content formats, including articles, videos, and infographics. This requirement will ensure a variety of learning styles are catered to, making health information more accessible and engaging for all patients. The implementation should include clear display options and ensure all content is mobile-responsive.
Acceptance Criteria: Accessing the Health Resource Library on a mobile device.

Given a user accesses the Health Resource Library via a mobile device, when they browse the library, then all multimedia content must be responsive and display correctly without any distortion or loss of quality.

Viewing a video resource within the Health Resource Library.

Given a user selects a video in the Health Resource Library, when they click the play button, then the video must start playing seamlessly without buffering and provide options for pause, rewind, and full screen.

Reading an article in the Health Resource Library.

Given a user opens an article from the Health Resource Library, when they scroll through the article, then the text must be legible and formatted properly across different devices, with appropriate headings and subheadings for easy navigation.

Interacting with infographics in the Health Resource Library.

Given a user clicks on an infographic in the Health Resource Library, when the infographic is displayed, then it must be zoomable and maintain clarity and readability at different zoom levels.

Searching for health topics in the Health Resource Library.

Given a user enters a search term in the search bar of the Health Resource Library, when they press search, then relevant multimedia resources must be displayed within 3 seconds, sorted by relevance.

Accessing FAQs in the Health Resource Library.

Given a user opens the FAQs section of the Health Resource Library, when they read through the questions, then answers must be clear, concise, and accessible within two clicks from the main FAQ page.

Getting personalized resource recommendations.

Given a user completes a health assessment in CuraDesk, when they access the Health Resource Library, then the library must display a list of personalized resources relevant to their health profile.

FAQ Module

User Story: As a patient, I want to find answers to common health-related questions quickly in the library so that I can resolve my doubts without needing to contact a healthcare provider.
Description: The library should feature a comprehensive FAQ module that addresses common patient queries regarding health conditions, treatments, and the functionality of the Health Resource Library itself. This feature would help provide quick answers, reduce unnecessary patient anxiety, and improve user satisfaction by offering timely, relevant information at their fingertips.
Acceptance Criteria: Patients can access the FAQ module via the Health Resource Library on the CuraDesk platform to seek information about their health concerns anytime they have questions.

Given a patient is logged in to CuraDesk, When they navigate to the Health Resource Library, Then they should see the FAQ module clearly displayed as an accessible option.

The FAQ module must include a searchable function, allowing patients to easily find answers to their specific health-related questions.

Given a patient is on the FAQ module, When they type a question into the search bar, Then the module should return relevant FAQs related to the inquiry within three seconds.

The FAQ section should contain at least 50 questions and answers that cover common health conditions and treatments relevant to various patient demographics.

Given the FAQ module is implemented, When the content is reviewed, Then there should be a minimum of 50 distinct Q&A entries that are up-to-date and relevant to patient needs.

Patients should be able to submit their own questions if they cannot find the information they need in the FAQs, fostering further engagement.

Given a patient is unable to find their desired information in the FAQ module, When they select the 'Submit a Question' option, Then they should be presented with a form to submit their question successfully.

The FAQ module should provide answers that are verified by healthcare professionals to ensure accuracy and reliability of information.

Given the FAQ module content is populated, When an external review is conducted by qualified healthcare professionals, Then at least 90% of the answers should be validated for accuracy and reliability.

The FAQ module should be responsive and accessible on different devices including desktops, tablets, and mobile phones to reach a wider audience.

Given the FAQ module is accessed from a mobile device, When the patient opens the module, Then the layout should adjust to fit the screen size while maintaining usability.

The FAQ module should offer translations for non-English speakers to enhance understanding among diverse patient populations.

Given a patient selects a language option from the FAQ module, When they choose a language, Then the module should present translated FAQs in that selected language accurately.

Feedback Mechanism

User Story: As a patient, I want to provide feedback on health resources so that I can help improve the library and contribute to a better support system for others.
Description: A feedback mechanism should be implemented within the library to allow patients to rate resources and suggest improvements or new topics. This feature is vital for continually refining the resource offerings based on real user insights, ultimately leading to a more effective and user-centered library that adapts to the needs of patients over time.
Acceptance Criteria: A patient accesses the Health Resource Library to read an article about diabetes management and wants to provide feedback on how helpful they found the resource.

Given the patient has accessed an article, when they click on the feedback section, then they should see an option to rate the article from 1 to 5 stars and submit additional comments.

A patient wants to suggest a topic for future articles in the Health Resource Library after reading a related FAQ.

Given the patient is viewing an FAQ, when they select the option to suggest a new topic, then they should be able to enter a topic title and description, which should be submitted successfully.

Healthcare administrators review feedback from patients regarding health resources in the library to improve content options.

Given that feedback has been submitted by patients, when the administrators access the feedback dashboard, then they should see a summary of ratings and suggestions organized by resource type.

A patient provides a low rating to a health resource to indicate dissatisfaction and suggests changes.

Given the patient submits a low rating and comments, when the submission is recorded, then the system should acknowledge the feedback and update the resource's average rating accordingly.

A health resource has been updated based on patient feedback, and the changes need to be validated by the administrators.

Given that an update has been made to a resource based on feedback, when administrators review the changes, then they should confirm that the modifications align with the feedback provided.

A patient wants to view resources that have received the highest ratings to ensure they access the most helpful materials.

Given the patient is on the Health Resource Library page, when they apply a filter to sort resources by rating, then the displayed resources should show the highest rated items first.

Symptom Checker Integration

A built-in symptom checker tool that allows patients to input their symptoms and receive preliminary insights or suggestions before consulting their healthcare provider. This feature educates patients about potential health issues and promotes timely intervention, improving overall healthcare outcomes.

Requirements

Symptom Analysis Engine

User Story: As a patient, I want to enter my symptoms into a symptom checker so that I can receive preliminary insights on potential health issues before my doctor’s visit.
Description: The Symptom Analysis Engine will be a sophisticated algorithm integrated into the Symptom Checker that enables patients to input symptoms and receive immediate feedback on potential health issues. This engine will analyze a wide dataset of symptoms and conditions, utilizing machine learning to improve accuracy over time. By providing personalized and relevant information based on the user's input, this feature aims to empower patients with knowledge about their health, reduce unnecessary hospital visits, and facilitate timely consultations with healthcare providers.
Acceptance Criteria: Patient Inputting Symptoms and Receiving Feedback

Given a patient accesses the Symptom Checker, when the patient inputs their symptoms, then the Symptom Analysis Engine should provide at least three potential conditions related to the input symptoms.

Accuracy of Symptom Suggestions

Given a patient inputs symptoms into the Symptom Checker, when the results are generated, then at least 85% of the suggestions should be confirmed as relevant to the conditions based on medical guidelines.

User-Friendly Interface

Given a patient is using the Symptom Checker, when they navigate through the input process, then they should be able to complete symptom submission within five minutes without assistance, achieving an ease-of-use rating of at least 4 out of 5 in user feedback surveys.

Integration with Healthcare Providers

Given a patient receives suggestions from the Symptom Checker, when they choose to consult a healthcare provider, then the system should generate a summary report of the input symptoms and suggested conditions to be shared with the provider via the CuraDesk platform.

Machine Learning Model Improvement

Given the use of the Symptom Analysis Engine, when data from user inputs is collected, then the accuracy of symptom-to-condition mapping should improve by 10% over the first six months of operation based on retrospective analysis of user feedback and outcomes.

Patient Privacy and Data Security

Given a patient uses the Symptom Checker, when they input their symptoms, then all data should be securely encrypted and comply with HIPAA regulations before being stored or processed.

User-Friendly Interface

User Story: As a patient, I want a simple and easy-to-navigate interface to enter my symptoms so that I can quickly and confidently use the symptom checker without frustration.
Description: To enhance the user experience, a user-friendly interface will be designed for the Symptom Checker. This interface will have a clean, intuitive layout that guides patients through symptom entry with clear instructions and easy navigation. It will include dropdown menus, checkboxes, and text input fields, ensuring users can submit their symptoms quickly and with minimal confusion. The overall goal of this requirement is to boost user engagement and ensure that all patient demographics can effectively utilize the tool without unnecessary hurdles.
Acceptance Criteria: User navigates to the Symptom Checker feature and is presented with the interface on an updated browser.

Given the user has accessed the Symptom Checker on a compatible browser, when they view the interface, then they should see clearly labeled dropdown menus, checkboxes, and text input fields without any visual obstructions or errors.

A patient selects different symptoms using the interface and submits their input.

Given the patient has selected symptoms using the provided dropdowns and checkboxes, when they click on the 'Submit' button, then the input should be processed successfully without error messages and a confirmation should be displayed.

Users of varying demographic backgrounds attempt to input symptoms in the Symptom Checker.

Given the demographic diversity of users, when an individual from any demographic group interacts with the interface, then they should be able to input symptoms easily without requiring external assistance or facing confusion.

A user tries to access the Symptom Checker from a mobile device.

Given the user is accessing the Symptom Checker from a mobile device, when they load the interface, then the layout should adapt to fit the screen size, ensuring all functionalities are accessible and user-friendly.

The system offers help or hint texts for each input field.

Given the user is inputting data, when they hover over or click on a help icon next to any input field, then context-sensitive help or hint texts should appear to guide the user effectively.

The Symptom Checker features are tested for accessibility compliance.

Given accessibility standards (WCAG 2.1), when users with disabilities interact with the Symptom Checker, then they should be able to navigate efficiently using assistive technologies, such as screen readers, without impediments.

Integration with Patient Database

User Story: As a healthcare provider, I want the symptom checker to access patient medical histories so that the insights it provides are personalized and take into account pre-existing conditions.
Description: This requirement involves the integration of the Symptom Checker with the existing patient database. When a patient inputs their symptoms, the system should cross-reference this information with their medical history, chronic illnesses, and prescription medications. This integration will allow the tool to provide tailored suggestions and alerts about potential concerns based on the patient's unique health background, improving the accuracy and relevance of the insights provided by the Symptom Checker.
Acceptance Criteria: Patient enters symptoms in the Symptom Checker to receive immediate feedback on potential health issues.

Given a patient has logged in to their account and accesses the Symptom Checker, when they input their symptoms, then the system should cross-reference their input with their medical history, chronic illnesses, and prescription medications, and display tailored suggestions.

A patient reviews the suggestions provided by the Symptom Checker based on their personalized health background.

Given the system has processed the patient's input and cross-referenced the data, when the patient reviews the suggestions, then the suggestions should include potential concerns related specifically to their medical history and current prescription medications.

A patient identifies an alarming symptom and receives a warning signal based on their health data.

Given a patient inputs a symptom that is flagged as potentially serious in relation to their medical history, when the symptom is entered, then the system should provide an alert or warning indicating the urgency of consulting a healthcare provider.

A health administrator audits the Symptom Checker logs to ensure accurate patient data integration.

Given the administrator accesses the audit logs for the Symptom Checker, when they review the logs, then they should find complete records of all symptom entries along with corresponding medical history references for each patient session.

A healthcare provider retrieves insights generated by the Symptom Checker prior to a patient's visit.

Given a healthcare provider searches for a specific patient who has used the Symptom Checker, when they access the patient's profile, then they should see a summary of insights and alerts generated by the Symptom Checker regarding the patient's symptoms inputted.

The system performs securely and accurately during peak usage times when many patients are logging symptoms simultaneously.

Given a high volume of patients accessing the Symptom Checker, when multiple users input their symptoms at the same time, then the system should maintain performance with response times under 3 seconds and without data integrity issues.

Reporting and Analytics Dashboard

User Story: As a healthcare administrator, I want access to an analytics dashboard that tracks symptom checker usage so that I can make data-driven decisions to improve healthcare services.
Description: A reporting and analytics dashboard will be developed to track the usage patterns of the Symptom Checker. This dashboard will provide insights into the most common symptoms reported by users, and the outcomes following their symptom checks, allowing healthcare administrators to understand trends in patient care. By gathering data from user interactions, administrators can enhance the functionality of the Symptom Checker and identify areas needing improvement, ultimately improving patient outcomes.
Acceptance Criteria: Tracking usage patterns of the Symptom Checker feature by healthcare administrators.

Given that the administrator is on the Reporting and Analytics Dashboard, when they select the Symptom Checker usage report, then they should see a detailed report of user interaction including frequency of usage, times of access, and average session duration.

Identifying the most common symptoms reported by patients using the Symptom Checker.

Given that the symptoms have been logged, when the administrator views the symptom analytics section, then they should be able to see a ranked list of the top ten most common symptoms reported, updated in real time.

Analyzing outcomes of patients after using the Symptom Checker.

Given that patients' outcomes are recorded, when the administrator requests the outcomes report linked to symptom checks, then they should receive a report showing the correlation between reported symptoms and subsequent medical consultations and interventions.

Comparing usage data over different time periods to identify trends.

Given that the administrator selects a time range for analysis, when they generate the usage report, then they should be able to see comparative data on Symptom Checker usage between the selected periods.

Receiving alerts on unusual symptom reporting trends detected by the system.

Given the dashboard is monitoring symptom report data, when an unusual spike in reports is detected, then the administrator should receive a notification alerting them to the trend for further investigation.

Exporting the usage and symptom report data for external analysis.

Given that the administrator is viewing the Reporting and Analytics Dashboard, when they choose the export function, then they should be able to download the report as a CSV file containing comprehensive data on symptom usage.

Feedback Mechanism

User Story: As a patient, I want to provide feedback on the symptom checker results so that the tool can be improved over time based on user experiences.
Description: A feedback mechanism will be established within the Symptom Checker, allowing users to provide feedback on the accuracy and usefulness of the insights received. This function will enable continuous improvement of the algorithm and user experience based on real-world user feedback. The collected data will inform future updates and modifications to both the symptom analysis engine and user interface, ensuring ongoing enhancements reflect user needs and expectations.
Acceptance Criteria: User Feedback Submission on the Accuracy of Symptom Insights

Given a user reviews their symptoms and receives insights from the symptom checker, when the user provides feedback on the accuracy of those insights, then the feedback should be successfully submitted and logged in the system for future analysis.

User Feedback Submission on the Usefulness of Symptom Insights

Given a user receives preliminary insights about their symptoms, when the user indicates whether the insights were useful or not, then the feedback should be recorded and trigger a confirmation message to the user.

Feedback Data Analysis for Continuous Improvement

Given feedback is collected from users about symptom insights, when the data is analyzed, then actionable insights should be generated that inform updates to the symptom checking algorithm and user interface.

User Notifications upon Feedback Submission

Given a user submits feedback about the symptom checker, when the feedback is successfully logged, then the user should receive a notification confirming their feedback submission and thanking them for their input.

Feedback Usability Testing with Real Users

Given the feedback mechanism is implemented, when real users interact with the symptom checker and provide feedback, then the feedback system should demonstrate a user satisfaction rate of at least 85% based on usability tests.

Integration of Machine Learning to Adapt Based on Feedback

Given user feedback has been submitted and analyzed, when the machine learning algorithm processes this data, then the algorithm should update its response patterns to reflect user insights within a defined timeframe (e.g., 30 days).

Treatment Progress Tracker

A feature that enables patients to log and monitor their treatment progress, including symptom changes, medication effects, and lifestyle adjustments. This tool promotes self-reflection and empowers patients to discuss their health journey with their providers, fostering collaborative care and personalized treatment plans.

Requirements

Symptom Logging Interface

User Story: As a patient, I want to log my symptoms easily so that I can keep my healthcare provider informed about my treatment progress and make our meetings more productive.
Description: The Symptom Logging Interface allows patients to systematically document their symptoms throughout their treatment journey. This interface supports various formats, enabling patients to enter text, select from predefined symptom categories, and attach relevant timestamps. By providing a structured way to record symptoms, it enhances data accuracy and helps healthcare providers make informed decisions based on real-time patient input. Integration with the overall Treatment Progress Tracker ensures that all logged symptoms are easily accessible during consultations, thus fostering better communication between patients and providers.
Acceptance Criteria: Patient logs symptoms daily through the Symptom Logging Interface for a week to track changes in their health condition.

Given the patient is logged into the CuraDesk platform, when they access the Symptom Logging Interface, then they should be able to select from predefined symptom categories, enter text descriptions, and attach timestamps for each entry.

A healthcare provider reviews the patient's logged symptoms during a consultation to discuss treatment adjustments.

Given the healthcare provider is in a consultation session with the patient, when they access the Treatment Progress Tracker, then they should see all the logged symptoms with corresponding timestamps and descriptions made by the patient.

A patient attempts to submit a symptom log without entering any data.

Given a patient is using the Symptom Logging Interface, when they click the 'Submit' button with empty fields, then they should receive an error message indicating that at least one symptom entry is required.

A patient attaches a timestamp to their symptom entry to indicate when it occurred.

Given the patient is entering a symptom in the Symptom Logging Interface, when they select the option to attach a timestamp, then they should be able to select from a calendar and time picker to accurately record the timing of the symptom.

The system saves a patient's symptom entries successfully after logging.

Given that the patient has entered all required information in the Symptom Logging Interface, when they click the 'Save' button, then the system should successfully store the entries and confirm the save action to the patient with an appropriate message.

The patient views previous symptom logs to assess their health progress over the past month.

Given the patient is accessing their Treatment Progress Tracker, when they navigate to the symptom log history, then they should be able to see a list of all previously logged symptoms with details on dates and descriptions for the past month.

Medication Effect Tracker

User Story: As a patient, I want to track the effects of my medications, so that I can share this information with my doctor during visits to ensure my treatment is effective.
Description: The Medication Effect Tracker empowers patients to log the effects of their medications in a simple and intuitive manner. Patients can categorize their entries by medication type, record dosages, and note side effects or improvements. This feature integrates seamlessly with the Treatment Progress Tracker, allowing healthcare providers to view medication performance alongside patient symptoms, enabling more effective treatment adjustments. Timely insights from this tracker can significantly enhance patient care and medication management, promoting a collaborative approach to health.
Acceptance Criteria: Patient logs the effects of their medication for the first time after their appointment.

Given a patient is logged into the Medication Effect Tracker, when they enter their medication details (type, dosage, and effects) and submit, then the entry should be saved and confirmed with a success message.

Healthcare provider reviews the patient's medication logs for clinical decision making.

Given a healthcare provider accesses a patient's Medication Effect Tracker, when they view the logged entries, then they should see a clear summary of medication types, dosages, and recorded effects for review.

Patient edits an existing medication log entry to update new dosage information.

Given a patient is on the Medication Effect Tracker, when they select an existing entry to edit and submit the updated dosage, then the entry should be updated in the system with the new dosage and display an 'updated' confirmation message.

System alerts patient about a potential adverse effect recorded from their medication log.

Given a patient logs a severe side effect from their medication, when the entry indicates a specific threshold for adverse effects, then the system should trigger an alert recommending the patient contact their healthcare provider.

A patient tracks symptom changes alongside medication effects over a month.

Given a patient logs their symptoms and medications consistently for a month, when they generate a report, then the system should display a visual representation of symptoms changes correlated with medication effects over that time period.

Healthcare provider receives a summary of medication effects and symptoms before a follow-up appointment.

Given a healthcare provider has a scheduled follow-up appointment with a patient, when they access the patient’s profile prior to the appointment, then they should receive a comprehensive summary of medication effects and symptom changes for reference.

Lifestyle Adjustment Logger

User Story: As a patient, I want to log my lifestyle changes, so that I can better understand how they impact my health and discuss them with my healthcare provider.
Description: The Lifestyle Adjustment Logger is a key feature that allows patients to record changes in their lifestyle that may affect their health, such as diet, exercise, sleep patterns, and stress levels. This functionality promotes holistic patient engagement by encouraging individuals to reflect on how their daily habits impact their treatment and recovery. Integration with the Treatment Progress Tracker creates a comprehensive view of the patient's health journey, empowering healthcare providers to offer personalized advice and interventions based on this collective data.
Acceptance Criteria: Patient logs lifestyle adjustments in the CuraDesk platform after each weekly check-in with their healthcare provider.

Given the patient is logged into the CuraDesk application, when they access the Lifestyle Adjustment Logger, then they should be able to input changes in diet, exercise, sleep, and stress levels, with successful confirmation of logged entries displayed on the screen.

Healthcare providers review patient lifestyle adjustments during their weekly consultations.

Given the healthcare provider is reviewing a patient's profile, when they access the Lifestyle Adjustment Logger, then they should see the latest entries reflected accurately, including time stamps for when each entry was made, and be able to provide feedback based on the logged data.

Patients receive notifications for weekly reminders to log their lifestyle adjustments.

Given the patient has opted in to receive notifications, when a week passes since their last entry in the Lifestyle Adjustment Logger, then they should receive a push notification reminding them to log their lifestyle adjustments.

Patients can view historical data of their lifestyle adjustments to track progress over time.

Given the patient has multiple logged entries in the Lifestyle Adjustment Logger, when they navigate to the history section, then they should see a chronological view of all their lifestyle adjustments, with aggregated metrics for diet, exercise, sleep, and stress displayed in a user-friendly format.

Healthcare providers can generate reports based on aggregated lifestyle data for better treatment planning.

Given the healthcare provider has selected a specific patient, when they request a report based on the lifestyle data, then the system should generate a comprehensive report detailing trends, changes, and potential areas of concern based on the patient's logged adjustments over a specified timeframe.

Patients can edit or delete previously logged lifestyle adjustments for accuracy.

Given the patient is viewing their past entries in the Lifestyle Adjustment Logger, when they select an entry to edit or delete, then they should be able to modify the entry fields as needed and receive confirmation of the change or deletion immediately.

Patients receive informative tips after logging significant changes in their lifestyle.

Given the patient logs a substantial lifestyle change in the Lifestyle Adjustment Logger, when they save the entry, then they should be presented with context-specific tips or resources relevant to their logged change immediately after saving the entry.

Progress Visualization Dashboard

User Story: As a patient, I want to see visual trends of my treatment progress, so that I can better understand my health journey and engage in meaningful conversations with my healthcare provider.
Description: The Progress Visualization Dashboard provides patients with graphical representations of their treatment journey, including trends in symptoms, medication effects, and lifestyle adjustments over time. This feature not only enhances patient engagement through visual feedback but also aids in recognizing patterns that could inform treatment decisions. The dashboard integrates data from all aspects of the Treatment Progress Tracker, ensuring that patients have a comprehensive view of their health that supports proactive discussions with their healthcare providers.
Acceptance Criteria: Patient Viewing Treatment Progress for the First Time

Given a patient has logged into the CuraDesk platform, when they navigate to the Progress Visualization Dashboard, then they should see a graphical representation of their treatment progress that includes trends in symptoms, medication effects, and lifestyle adjustments for the past month.

Patient Interpreting Dashboard Graphs

Given a patient is viewing their Progress Visualization Dashboard, when they hover over specific data points on the graphs, then they should see detailed information about the corresponding treatment activity or symptom reported on that date.

Patient Customizing Dashboard View

Given a patient is on the Progress Visualization Dashboard, when they select different parameters from the filter options, then the dashboard should update to display relevant data based on the selected filters, such as specific symptoms or medications.

Patient Sharing Dashboard Insights with Provider

Given a patient has accessed their Progress Visualization Dashboard, when they click the 'Share with Provider' button, then their selected progress data should be prepared and sent securely to their healthcare provider's account for review.

Patient Updating Treatment Data

Given a patient is logged into their account and on the Progress Visualization Dashboard, when they enter new data regarding their symptoms or medication effects, then the dashboard should refresh and include the new entries, reflecting the updated treatment progress immediately.

Patient Receiving Notifications for Significant Changes

Given a patient is using the Progress Visualization Dashboard, when there is a significant change in their treatment data such as worsening symptoms, then they should receive a notification alerting them to review this change and consider discussing it with their healthcare provider.

Collaborative Care Notes

User Story: As a patient, I want to take notes during my appointments with my healthcare provider, so that I can remember important information and follow their advice more effectively.
Description: The Collaborative Care Notes feature allows patients to document additional notes and comments from their consultations with healthcare providers directly within the Treatment Progress Tracker. This capability ensures that patients can keep track of important advice, recommendations, and questions for future appointments. By centralizing this information, it enhances the continuity of care and facilitates better communication between patients and their healthcare team, ultimately improving health outcomes.
Acceptance Criteria: Patient documents key notes from their recent consultation with their healthcare provider within the Treatment Progress Tracker.

Given the patient is logged into the Treatment Progress Tracker, when they access the Collaborative Care Notes feature, then they should be able to add, edit, or delete notes regarding their healthcare provider's recommendations or comments.

Patient retrieves previously saved notes from consultations when preparing for their next appointment.

Given the patient is logged into the Treatment Progress Tracker, when they navigate to the Collaborative Care Notes section, then they should see a list of all previously saved notes organized by date of consultation.

Patient shares their saved consultation notes with their healthcare provider prior to the next appointment.

Given the patient has saved notes in the Collaborative Care Notes feature, when they select the 'Share' option, then the notes should be sent to the provider’s secure messaging platform, confirming with a success message.

Patient receives reminders to review their notes before upcoming appointments.

Given the patient has upcoming appointments, when the system generates reminders, then it should notify the patient via email and in-app notifications to review their saved Collaborative Care Notes at least 48 hours prior to the appointment.

Patient views the history of their logged notes in the Treatment Progress Tracker.

Given the patient is logged into the Treatment Progress Tracker, when they navigate to the Collaborative Care Notes section, then they should be able to filter and view notes by date, making it easier to find specific information discussed in prior consultations.

Healthcare provider accesses and reviews patient notes in the Collaborative Care Notes feature before the appointment.

Given that the healthcare provider is logged into the system, when they open the patient's profile before an appointment, then they should be able to view the patient's Collaborative Care Notes, ensuring they are prepared for the consultation.

System ensures security and privacy of patient notes within the Collaborative Care Notes feature.

Given that a patient is accessing their Collaborative Care Notes, when they delete or modify a note, then the system should ensure that these actions are logged and that the data is encrypted, adhering to HIPAA compliance standards.

Patient Demand Forecasting

This feature utilizes historical data and predictive analytics to anticipate patient influx on a daily, weekly, and monthly basis. By understanding trends in patient visits, healthcare administrators can proactively allocate resources and staff, reducing wait times and improving service delivery.

Requirements

Historical Data Integration

User Story: As a healthcare administrator, I want to integrate historical patient visit data into the system so that I can generate accurate forecasts of patient demand and effectively allocate resources.
Description: This requirement entails the seamless integration of existing historical patient visit data into the CuraDesk platform. By consolidating historical data from various sources, the platform will provide a comprehensive dataset necessary for accurate predictive analytics. This integration will enhance the ability of the Patient Demand Forecasting feature, enabling more precise forecasting of patient influx. The ultimate goal is to empower healthcare administrators with data-driven insights to optimize resource allocation, minimize costs, and improve patient service delivery.
Acceptance Criteria: Integration of Historical Patient Visit Data from Multiple Sources into CuraDesk Platform.

Given historical patient visit data from at least three different sources is available, when the data is integrated into the CuraDesk platform, then the system should display a comprehensive dataset that accurately reflects total patient visits per day, week, and month without errors.

Display of Integrated Historical Data for Forecasting Analysis.

Given the integration of historical patient visit data is complete, when a healthcare administrator accesses the Patient Demand Forecasting feature, then the system should present a visual representation of historical trends over the past 12 months, including patient visit counts and peak times.

Testing Data Completeness and Accuracy After Integration.

Given the completion of data integration, when the system runs a validation check on the historical data, then the results should indicate that at least 95% of the expected data records are present and that the data is free of discrepancies.

User Experience During Data Integration Initiation.

Given a healthcare administrator attempts to initiate the historical data integration process, when they select the data sources and click 'Integrate', then the system should respond within 15 seconds, and display a progress bar indicating the integration status.

Error Handling for Data Integration Failures.

Given that an error occurs during the data integration process due to a data format mismatch, when the system encounters the error, then it should provide a clear error message to the user, specifying the nature of the error and suggested corrective actions.

Performance Metrics After Historical Data Integration.

Given the integration of historical patient visit data is complete, when the healthcare administrator requests a report on patient demand, then the system should generate the report within 3 seconds and include a summary of predictive analytics for upcoming months.

User Training and Documentation Accessibility for Historical Data Integration Feature.

Given that the historical data integration feature is live, when a healthcare administrator accesses the user documentation, then they should find detailed step-by-step instructions and video tutorials describing how to integrate and validate historical data.

Predictive Analytics Engine

User Story: As a healthcare administrator, I want a predictive analytics engine that analyzes historical data so that I can anticipate patient demand accurately and prepare accordingly.
Description: The development of a robust predictive analytics engine is crucial for this feature. The engine will utilize machine learning algorithms to analyze the historical data and identify patterns in patient visits. The predictions will account for variables such as seasonality, day of the week, and local events that could influence patient turnout. This requirement is critical as it directly impacts the accuracy of the demand forecasts, ultimately leading to enhanced operational efficiency and improved patient outcomes.
Acceptance Criteria: Predicting Patient Influx for Seasonal Flu Season

Given historical patient data for flu seasons, when the engine processes the data, then it should accurately predict a 20% increase in patient visits for the two months preceding the flu season based on past trends.

Weekly Resource Allocation Based on Predictions

Given the predictive analytics engine's output for the upcoming week, when healthcare administrators view the forecast, then they should be able to allocate staff and resources at least 24 hours in advance to meet the predicted demand.

Daily Adjustments to Staff Scheduling

Given the predicted patient influx data for today, when the predictive analytics engine is run, then the system should recommend adjustments to staffing levels with at least 80% accuracy based on actual vs predicted patient visits from the last month.

Integration with Scheduling Software

Given the predictive analytics output, when the data is sent to the scheduling software, then it should automatically update staff schedules to reflect any necessary changes based on forecasted patient visits.

Evaluation of Prediction Accuracy

Given actual patient visit data from the previous month, when compared to the predictions made by the analytics engine, then at least 90% of the predictions should fall within a 10% margin of error.

Influence of Local Events on Predictions

Given data on local events that historically impact patient visits, when such events are included in the predictive model, then the predictions should adjust to reflect anticipated changes in patient inflow with at least 75% precision.

Dashboard Visualization

User Story: As a healthcare administrator, I want an easy-to-understand dashboard that visualizes patient demand forecasts so that I can quickly assess trends and make proactive resource decisions.
Description: This requirement focuses on creating an intuitive dashboard that visually represents patient demand forecasts over various timeframes (daily, weekly, monthly). The dashboard will present data in the form of charts, graphs, and trend lines, allowing healthcare administrators to quickly assess patient influx trends and make informed decisions. Inclusion of customizable views and alerts for anticipated surges in demand will further enhance usability by improving situational awareness for administrators.
Acceptance Criteria: Dashboard visualization for daily patient demand forecasting

Given that the healthcare administrator accesses the dashboard, when they select the daily view, then they should see a line chart displaying patient demand forecasts for each hour of the day with accurate predictions based on historical data.

Dashboard visualization for weekly patient demand forecasting

Given that the healthcare administrator accesses the dashboard, when they select the weekly view, then they should see a bar graph displaying patient demand forecasts for each day of the week, with the correct predicted patient volume for each day.

Dashboard visualization for monthly patient demand forecasting

Given that the healthcare administrator accesses the dashboard, when they select the monthly view, then they should see a trend line chart displaying patient demand forecasts for the entire month, correctly illustrating fluctuations based on historical trends.

Customizable dashboard views

Given that the healthcare administrator is on the dashboard, when they choose to customize the view, then they should be able to filter demand forecasts by specific departments or services, and the dashboard should update dynamically to reflect these selections.

Alerts for anticipated surges in demand

Given that the healthcare administrator has set thresholds for patient demand, when the forecast predictions exceed these thresholds, then the system should immediately trigger alerts via email and notifications within the app to inform the administrator about the upcoming surge.

User access and permissions for dashboard

Given that there are multiple healthcare administrators using the CuraDesk platform, when an administrator logs in, then they should only have access to the dashboard with permissions set according to their role, ensuring data security and appropriate access to sensitive information.

Resource Allocation Recommendations

User Story: As a healthcare administrator, I want automated resource allocation recommendations to ensure that I have the right staff and resources available during peak patient demand periods so that patient wait times are minimized.
Description: This requirement describes the development of a system that offers automated resource allocation recommendations based on the demand forecasts generated by the predictive analytics engine. By providing suggestions on staff scheduling, room availability, and necessary medical supplies, this feature aims to minimize wait times and enhance patient care. The recommendations will be based on forecasting data and tailored to meet the specific needs of the healthcare facility.
Acceptance Criteria: Automated Resource Allocation Recommendations during Peak Patient Influx

Given a predicted patient influx of 100 patients within the next 24 hours, when the resource allocation system processes the demand forecast, then it should recommend scheduling 5 additional nurses, allocating 3 more exam rooms, and ensuring adequate supply of 50 disposable medical kits.

Daily Review of Recommendations for Resource Adjustments

Given that it is the start of the day, when the healthcare administrator accesses the daily recommendations report, then the system should present recommendations for staff adjustments and resource allocations based on the previous day's patient data, ensuring they align with forecasted needs.

Integration of Resource Allocation with Existing Scheduling System

Given that the resource allocations are made, when the recommendations are implemented in the scheduling system, then the system should automatically update the nurse schedules and room assignments without any manual intervention, ensuring accuracy.

Feedback Loop for Adjusting Future Demand Forecasts

Given that feedback from staff on resource allocations is collected, when this data is fed back into the predictive analytics engine, then the engine should adjust its forecasting models to improve accuracy for the following months.

Real-Time Alerts for Resource Shortages

Given an unexpected increase in patient visits, when the system identifies a resource shortage, then it should trigger real-time alerts to healthcare administrators and suggest immediate corrective actions such as temporary staffing increase.

User Accessibility and Interface for Resource Allocation Recommendations

Given that healthcare administrators use the system, when they navigate to the resource allocation recommendations section, then the recommendations should be easily accessible and clearly presented, allowing for quick decision-making.

User Notification System

User Story: As a healthcare administrator, I want to receive notifications for significant changes in patient demand forecasts so that I can swiftly adjust my resources and maintain service quality.
Description: Implementing a user notification system is necessary to alert healthcare administrators of significant changes in patient demand forecasts. This real-time notification feature will enable users to react immediately to unexpected surges in patient visits, ensuring that resources can be dynamically adjusted. Notifications will be customizable based on user preferences, allowing administrators to select the types of alerts they wish to receive.
Acceptance Criteria: User receives a notification when the patient demand forecast indicates a 20% increase in expected patient visits within the next week during peak hours.

Given the forecast data shows a 20% increase in patient visits for the upcoming week, when the healthcare administrator logs into the system, then a notification should be displayed on the dashboard and sent via email.

Administrator can customize notification preferences for patient demand forecasting alerts.

Given an administrator accesses their notification settings, when they select the types of alerts they wish to receive, then the system should save their preferences and adjust notifications accordingly for future alerts.

User receives a real-time alert for an unexpected surge in patient visits on the same day.

Given the system detects a sudden increase in patient visits exceeding the forecast by 30%, when it occurs, then the user should receive an immediate push notification on their mobile device and a pop-up alert on the web application.

Daily summary of notifications received about patient demand forecasts is accessible to the user.

Given the user logs into the system the following day, when they navigate to the notifications history section, then they should see a daily summary that includes all notifications received regarding patient demand forecasts from the previous day.

User can opt-out of specific types of notifications related to patient demand forecasts.

Given an administrator selects the option to opt-out, when they confirm their choice, then the system should stop sending notifications related to the opted-out types immediately.

The system records historical logs of user notifications for compliance and review.

Given the administrator requests a report of user notifications for the past month, when the system generates the report, then it should include a complete log of all notifications sent, including timestamps and types of alerts.

The notification system can handle high-volume alerts without performance degradation during peak demand periods.

Given a scenario where patient visits exceed previous forecasts and triggers multiple notifications, when the alerts are processed, then there should be no noticeable lag or downtime in the system performance.

Dynamic Staffing Scheduler

An intelligent scheduling tool that adjusts staff assignments based on real-time patient activity and predicted demand. This feature optimizes workforce allocation, ensuring adequate coverage without overstaffing, which enhances operational efficiency and staff satisfaction.

Requirements

Real-time Patient Monitoring Integration

User Story: As a hospital administrator, I want the staffing scheduler to adjust in real-time based on current patient activity so that we can ensure we have the right number of staff on duty at all times.
Description: This requirement involves integrating real-time patient monitoring systems to provide live data to the scheduling tool. The system should capture patient admissions, discharges, and status changes to automatically adjust staffing needs based on patient volume. This integration is crucial for ensuring that the staffing levels are responsive to actual demand, thereby preventing both understaffing during peak times and overstaffing during quieter periods, ultimately enhancing patient care and operational efficiency.
Acceptance Criteria: Real-time adjustment of staff assignments during high patient admission periods.

Given the real-time patient monitoring system is integrated, when there is a surge in patient admissions, then the Dynamic Staffing Scheduler should automatically increase the number of nursing staff assigned to the emergency department by at least 20% within 5 minutes of the event.

Reduction of staff assignments when patient discharges occur.

Given the real-time patient monitoring system is integrated, when patient discharges occur, then the Dynamic Staffing Scheduler should automatically decrease the number of staff assignments in the discharge unit by 30% within 10 minutes of the notification.

Visibility of current staffing levels in relation to patient volume data.

Given the integration is successful, when hospital administrators view the staffing dashboard, then they should see real-time staffing numbers that match the current patient volume data and projected demand based on historical trends, updated every 5 minutes.

Notification system for staffing adjustments based on predicted demand.

Given the system predicts a rise in patient demand based on historical data, when the prediction is made, then staff should be notified via the internal communication system 15 minutes prior to the predicted peak for adequate preparation.

Assessment of staffing efficiency post-implementation.

Given the real-time monitoring and scheduling system is fully operational, when analyzing staffing efficiency data after one month of use, then there should be a reduction of at least 10% in overtime hours logged compared to the previous month.

Testing of system integration with existing hospital management software.

Given the real-time patient monitoring integration is ready, when testing the connection with existing hospital management software, then data transfer should occur without errors for at least 100 patient records before moving to production.

Compliance with healthcare regulations on staffing.

Given the Dynamic Staffing Scheduler is running, when staffing assignments are generated, then all staffing levels must comply with state and federal regulations regarding nurse-to-patient ratios based on the current patient census at all times.

Predictive Analytics for Demand Forecasting

User Story: As a healthcare manager, I want analytics to forecast staffing needs based on patient intake trends so that we are adequately prepared for fluctuations in demand.
Description: This requirement focuses on developing predictive analytics capabilities that analyze historical data to forecast patient demand. By utilizing machine learning algorithms, the system will assess trends and predict peak times for patient intake based on various factors, allowing for proactive staffing adjustments. This capability aims to optimize workforce allocation, reduce costs, and improve service delivery by anticipating patient needs before they arise.
Acceptance Criteria: Predictive analytics identifies peak patient intake hours for a specific department based on historical data during a flu season.

Given historical patient intake data from the past three flu seasons, When the predictive analytics is run, Then it should accurately forecast patient intake within a ±10% margin during the peak hours identified.

Staffing recommendations are automatically adjusted based on predicted patient demand for the upcoming week.

Given the predicted patient intake for the upcoming week, When the dynamic staffing scheduler is executed, Then it should generate recommendations that ensure at least 90% staffing coverage during predicted peak hours.

Healthcare administrators review the analytics dashboard for real-time patient activity and predicted demand.

Given the analytics dashboard is open, When the dashboard is accessed, Then it must display real-time patient activity and predictive analytics results without any data lag over 2 seconds.

A hospital receives unanticipated patient surges, and adjustments are made to the staffing schedule.

Given an unanticipated surge in patient intake, When the predictive analytics identifies the surge, Then staff assignments must be adjusted and communicated to staff within 15 minutes.

A validation report shows the effectiveness of predictive analytics in accurately forecasting patient demand.

Given the predictive analytics system is in place, When a validation report is generated after three months, Then it should indicate at least 85% accuracy in forecasting patient demand based on real-time data.

User-friendly Staff Management Dashboard

User Story: As a staff manager, I want a simple dashboard that shows all staff schedules and coverage needs so that I can quickly make staffing decisions and communicate them easily.
Description: This requirement involves creating a user-friendly dashboard that displays real-time scheduling information, staff assignments, and availability. The dashboard should allow managers to easily visualize staffing levels, make adjustments on the fly, and communicate changes to staff members. This user-friendly interface is essential for ensuring that staff can access and understand their schedules quickly, thereby enhancing operational workflows and staff satisfaction.
Acceptance Criteria: User accesses the dashboard to view current staffing levels during peak hours.

Given that the manager is logged into the CuraDesk platform, when they navigate to the Staff Management Dashboard, then they should see an accurate representation of current staff assignments and availability in real time, displayed in a clear and organized manner.

User updates staff assignments based on sudden patient influx.

Given that the manager is viewing the Staff Management Dashboard, when they select a staff member and adjust their assignment due to increased patient demand, then the changes should save immediately and reflect across the dashboard without requiring a page refresh.

User sends a communication to staff regarding schedule changes.

Given that the manager has made adjustments to the staff assignments, when they click the 'Notify Staff' button, then all affected staff members should receive a real-time notification of their updated schedule via the platform's communication tool.

User reviews historical staffing data for future planning.

Given that the manager is on the Staff Management Dashboard, when they select the 'History' tab, then they should be able to view a comprehensive report of past staffing levels, assignments, and patient demand trends over a specified time frame.

User customizes the dashboard layout to prioritize data visibility during shift changes.

Given that the manager is on the Staff Management Dashboard, when they drag and drop widgets to rearrange the display, then the layout should save automatically, allowing for customized viewing that persists across sessions.

User analyzes staffing efficiency metrics post-shift.

Given that the manager has completed a shift, when they access the analytics section of the dashboard, then they should be able to view metrics relating to staffing efficiency, including overstaffing and understaffing occurrences, in an easily interpretable format.

User filters staffing information by role or department for detailed analysis.

Given that the manager is on the Staff Management Dashboard, when they apply filters to view staff by role or department, then the display should update to show only the relevant staff members and their assignments without delays.

Automated Notifications for Staff

User Story: As a staff member, I want to receive instant notifications about any changes to my schedule so that I am always aware of my responsibilities and can prepare accordingly.
Description: This requirement entails implementing an automated notification system that alerts staff about schedule changes, shift assignments, and staffing needs directly through their preferred communication channels. This feature will enhance communication efficiency, reduce missed shifts, and improve staff accountability by ensuring that all staff members are kept informed in real-time about their duties and any changes that may occur.
Acceptance Criteria: Automated notifications alert a nurse about a shift change occurring due to a last-minute patient admission.

Given the schedule change, When the nurse’s preferred communication method is checked, Then the nurse receives a notification via SMS and email confirming the change within 5 minutes of the update.

A staff member seeks information about their upcoming shifts and receives immediate updates from the automated system.

Given a staff member requests an update on their shifts, When they access the notifications dashboard, Then they can see all upcoming shifts and any changes with timestamps and details of the changes.

Automated notifications notify staff in case of overstaffing or understaffing based on real-time patient activity.

Given the real-time staffing analysis, When an over/under staffing condition is detected, Then all relevant staff receive an alert outlining the current staffing needs and modifications within 3 minutes of detection.

A staff member fails to acknowledge a schedule change notification, prompting another alert.

Given that the staff member has a pending notification for a schedule change, When 10 minutes pass without acknowledgment, Then the system sends a follow-up alert to the staff member via their chosen communication method.

Staff members are informed about their weekly schedules through automated notifications before the start of the week.

Given the beginning of a new week, When the scheduled staff changes are finalized, Then all staff members receive a notification outlining their assigned shifts for the week on the Friday preceding the new week.

Staff members can customize their notification preferences through the CuraDesk platform.

Given a staff member wants to change their notification settings, When they access the settings menu, Then they can update their preferred communication channels and notification types, with changes saved successfully within the session.

Mobile Access for Staff Scheduling

User Story: As a nurse, I want to access my work schedule through a mobile app so that I can manage my shifts more conveniently while on the go.
Description: This requirement is centered around developing a mobile application that allows staff to view their schedules, request shift changes, and confirm their availability from their smartphones. The mobile access feature will empower staff by granting them the flexibility to manage their schedules on the go, improving job satisfaction and operational responsiveness by enabling immediate updates.
Acceptance Criteria: Mobile staff member requests a shift change via the mobile app during a busy shift whilst on the floor, ensuring that their availability is officially logged.

Given that the staff member is logged into the mobile app, when they request a shift change, then the app should confirm their request and notify their manager immediately.

A nursing staff member checks their schedule on the mobile app while commuting to the hospital before their shift begins.

Given that the nursing staff member opens the mobile app, when they access their schedule, then the app should display the correct current schedule for the shift in real-time.

Healthcare administrators need to track shift changes made by staff through the mobile access feature during the week.

Given that the administrator is using the web application, when they click on the shift change report, then all approved shift changes request made via the mobile app should be displayed accurately with timestamps and staff details.

Staff members want to confirm or decline a proposed shift change sent by a colleague through the mobile app.

Given that a shift change request is sent to a staff member, when they receive the notification, then they should be able to accept or decline the request directly through the mobile app with a confirmation message sent to both parties.

A staff member needs to update their availability in the mobile app to reflect changes in their schedule.

Given that the staff member is logged into the mobile app, when they update their availability status, then the app should save the changes and notify the relevant scheduler of the updated availability.

During a staff meeting, staff members review the mobile app features for accessing and managing their schedules.

Given that staff members are in the meeting, when they demonstrate using the mobile app to access their schedules, then all listed functionalities such as viewing, requesting changes, and updating availability should be operational and user-friendly.

Reporting and Analytics for Staffing Efficiency

User Story: As a hospital administrator, I want access to detailed reports on staffing efficiency so that I can assess our operations and adjust strategies as needed to optimize resource allocation.
Description: This requirement involves creating robust reporting tools that allow administrators to analyze staffing efficiency, including metrics such as overtime hours worked, staffing costs in relation to patient volume, and employee satisfaction rates. The generated reports will help in making informed decisions regarding staffing policies, overall budget management, and operational improvements, ensuring the facility operates at peak efficiency and cost-effectiveness.
Acceptance Criteria: Generate a report for staffing efficiency based on the last month’s patient volume and corresponding staffing hours.

Given the administrator accesses the reporting tool, when they select the date range for the last month and input relevant parameters, then a report should generate displaying overtime hours worked, staffing costs, and patient volume metrics.

Analyze employee satisfaction rates in relation to staffing levels during peak and off-peak hours.

Given an administrator views the staffing efficiency report, when they filter the data by peak and off-peak hours, then the report should show a correlation between staffing levels and employee satisfaction ratings in a clear visual format.

Evaluate the impact of staffing adjustments on patient care outcomes.

Given the administrator retrieves specific reports on staffing changes, when they compare these reports with patient care outcome metrics, then they should be able to identify trends indicating whether staffing adjustments improved care quality.

Create a visual dashboard to track staffing costs over time against patient volume.

Given the administrator accesses the analytics dashboard, when they view the staffing cost graph, then it should dynamically update to reflect costs in relation to patient volume over the selected timeframe.

Export reports for external review and budget analysis.

Given that the administrator is on the reporting page, when they select the option to export the report, then the system should allow for multiple formats (CSV, PDF) and confirm successful download.

Resource Utilization Analytics

A comprehensive dashboard that visualizes the utilization rates of various hospital resources, including beds, medical equipment, and staff availability. By analyzing usage patterns, administrators can identify bottlenecks, optimize resource distribution, and improve overall hospital efficiency.

Requirements

Real-time Resource Monitoring

User Story: As a hospital administrator, I want to monitor resource utilization in real-time so that I can respond quickly to changes in resource availability and improve operational efficiency.
Description: A real-time monitoring system that provides updates on the availability and usage rates of hospital resources, including beds, medical equipment, and staff. This feature will allow administrators to quickly assess the current state of hospital resources and make immediate decisions to address any shortages or surpluses. Its integration with existing scheduling and patient tracking systems will ensure accurate data collection and enhance operational efficiency, ultimately improving patient care and resource allocation.
Acceptance Criteria: Real-time Update of Bed Availability Status

Given a patient is discharged, When the discharge process is completed, Then the bed availability status should update in the system within 2 minutes reflecting the available resources.

Integration With Scheduling System

Given a scheduled surgery for a patient, When the surgery is confirmed, Then the system should reflect the usage of the operating room and medical staff in real-time, providing accurate availability status.

Alert on Resource Shortages

Given current resource utilization is at 90% capacity, When a new patient arrives, Then the system should alert the administrator regarding resource shortages immediately.

Dashboard Visualization of Resource Utilization

Given the resource utilization dashboard is accessed, When the user filters by department, Then the dashboard should display real-time utilization rates for beds, medical equipment, and staff with clear visual indicators.

Accessibility for Multiple User Roles

Given that different user roles exist within the hospital, When users with different permissions access the resource monitoring system, Then the system should show data relevant to their access level clearly and securely.

Historical Data Analysis for Resource Trends

Given that resource utilization data has been collected over time, When the administrator analyzes the data, Then the system should provide insights into historical usage patterns and trends for better forecasting.

Mobile Access to Resource Monitoring

Given that hospital administrators are on the move, When they access the resource monitoring system via a mobile device, Then the system should provide a responsive design that allows for full functionality and accurate data retrieval.

Automated Reporting

User Story: As a hospital administrator, I want to receive automated reports on resource utilization so that I can analyze trends and plan resources effectively.
Description: An automated reporting feature that generates weekly and monthly reports on resource utilization metrics. This capability will enable administrators to review historical data, identify trends in resource usage, and make data-driven decisions for future resource planning. By integrating with analytics functions, this feature will streamline the reporting process and provide actionable insights to improve resource management.
Acceptance Criteria: Weekly report generation for resource utilization metrics in a hospital setting.

Given that the hospital administrator has selected the 'Weekly Report' option, when the report generation process is initiated, then the system generates a report that includes metrics for bed occupancy, medical equipment usage, and staff availability for the past week and is available for download in PDF format.

Monthly report generation for resource utilization metrics across the hospital.

Given that the hospital administrator has selected the 'Monthly Report' option, when the report generation process is initiated, then the system generates a report that includes aggregated resource utilization data for beds, equipment, and staff for the past month and sends it via email to designated recipients.

Visual representation of resource utilization trends over time in generated reports.

Given that a report has been generated, when the administrator views the report, then the report must visually display trends in resource utilization using charts or graphs for easy interpretation of the data over time.

Accessibility and clarity of automated reports for hospital staff.

Given that the report has been generated, when various hospital staff members access the report, then they should find the report user-friendly, with clearly defined metrics and terminologies that are understandable to non-technical users.

Integration of reporting feature with existing hospital analytics functions.

Given that the reporting feature is integrated with analytics, when an administrator updates resource usage data, then the report should reflect these updates in real time with no lag in data presentation.

Error handling and notifications during report generation process.

Given that there may be an issue with data retrieval during the report generation, when the administrator attempts to generate a report, then the system should provide a clear error message and a notification of any issues that need to be addressed.

Performance validation of report generation time under load.

Given that multiple hospital administrators may request reports, when five reports are generated simultaneously, then each report should be generated and available for download within a targeted time frame of 2 minutes without degradation in performance.

Predictive Analytics for Resource Needs

User Story: As a hospital administrator, I want predictive analytics for resource needs so that I can proactively manage resource allocation and minimize wait times for patients.
Description: A predictive analytics module that forecasts future resource requirements based on historical utilization trends and patient admission rates. This feature will use machine learning algorithms to analyze past data and predict future demands, allowing administrators to prepare adequately for peak times and reduce bottlenecks. The ability to anticipate resource needs will enhance the hospital's capacity to provide uninterrupted care.
Acceptance Criteria: Forecasting and Planning Resource Allocation During Seasonal Peaks

Given historical data of patient admissions during peak seasons, when the predictive analytics module runs, then it should provide forecasts of resource requirements with at least 90% accuracy over the next quarter.

Real-time Monitoring of Resource Utilization Trends

Given the real-time data feed of resource utilization, when an administrator accesses the dashboard, then they should see an updated visual representation of resource utilization rates for beds, equipment, and staff availability.

Integration of Machine Learning Algorithms for Prediction

Given the historical utilization data, when the machine learning algorithms are applied, then the system should generate predictions for future resource needs that demonstrate a decrease in resource shortages by at least 30%.

User Feedback on Prediction Accuracy

Given that hospital administrators have access to the predictive analytics dashboard, when they evaluate the prediction results after one full month of use, then at least 80% should report that the predictions are accurate and helpful for resource planning.

Alert System for Resource Shortages

Given the predictive analytics data, when a forecast indicates a resource shortage within the next 7 days, then the system should trigger alerts to administrators via email and dashboard notifications.

Usability Testing for Dashboard Interface

Given a selection of end-users, when they interact with the predictive analytics dashboard, then at least 90% should be able to navigate the interface without external assistance and find necessary data within 5 minutes.

Reporting on the Impact of Predictive Analytics on Operations

Given the implementation of the predictive analytics module, when operational reports are generated after three months, then there should be a documented improvement in resource allocation efficiency by 25% or more compared to previous periods.

Resource Allocation Optimization

User Story: As a hospital administrator, I want to optimize resource allocation dynamically so that we can enhance hospital efficiency and respond to patient needs effectively.
Description: An optimization algorithm that reallocates resources dynamically based on real-time demand and usage patterns. This capability will ensure that critical resources are deployed efficiently, minimizing waste and improving the overall effectiveness of resource distribution throughout the hospital. By leveraging data analytics, this feature will adapt to changing circumstances and optimize patient care through improved resource availability.
Acceptance Criteria: Dashboard displays real-time resource availability during peak patient admission hours.

Given peak admission hours, when an administrator views the dashboard, then it should display current utilization rates of beds, medical equipment, and staff availability in real-time.

The optimization algorithm reallocates resources based on sudden spikes in patient needs.

Given a spike in patient admissions, when the algorithm runs, then it should automatically reallocate required resources like beds and staff within 5 minutes to meet the demand.

Administrators receive alerts about underutilized resources through the dashboard.

Given a significant underutilization of any resource, when it is detected, then the system should send alerts to administrators within 10 minutes of detection.

Resource utilization analytics allows for historical performance comparisons.

Given historical data, when an administrator selects a specific date range, then the dashboard should display historical utilization rates allowing for comparisons with current data.

The system tracks and displays the impact of resource optimization on patient care turnaround times.

Given implemented resource optimization, when reviewing patient care metrics, then the turnaround time should show a decrease of at least 15% compared to the previous month.

Users can manually override the optimization algorithm if necessary.

Given that the algorithm has made resource adjustments, when an administrator chooses to override, then the override should take effect immediately and be logged for audit.

User-friendly Dashboard Interface

User Story: As a hospital administrator, I want a user-friendly dashboard for resource analytics so that I can easily visualize data and make informed decisions quickly.
Description: A user-friendly interface for the resource utilization analytics dashboard that allows administrators to easily visualize and interact with resource data. The interface will include customizable widgets, charts, and graphs tailored to the specific needs of the hospital's management team. Providing an intuitive design will ensure that users can quickly access vital information and make informed decisions based on the data presented.
Acceptance Criteria: Accessing Resource Utilization Dashboard as a hospital administrator after logging into the CuraDesk platform.

Given the administrator is logged into the CuraDesk platform, when they navigate to the Resource Utilization Analytics section, then they should see a dashboard interface that displays customizable widgets for bed usage, medical equipment availability, and staff allocation.

Interacting with the customizable widgets on the resource utilization dashboard to filter data.

Given the administrator is on the Resource Utilization Analytics dashboard, when they select the filter options on any widget, then the dashboard should update in real-time to reflect only the data based on the selected filters.

Viewing historical utilization trends for hospital resources over a specified time period.

Given the administrator is on the Resource Utilization Analytics dashboard, when they select a time range for the historical trends, then they should see a graphical representation of resource usage trends over that period in the form of charts and graphs.

Accessing help and guidance features integrated within the dashboard interface.

Given the administrator is on the Resource Utilization Analytics dashboard, when they click on the help icon, then a help menu should be displayed providing guidance on how to use each feature of the dashboard.

Adjusting the layout and widgets of the resource utilization dashboard according to user preferences.

Given the administrator is on the Resource Utilization Analytics dashboard, when they drag and drop widgets to rearrange them, then the dashboard layout should save these changes for future sessions, maintaining customization.

Exporting resource utilization data from the dashboard for reporting purposes.

Given the administrator is on the Resource Utilization Analytics dashboard, when they click the export button, then a file containing the current data should be downloaded in a specified format (e.g., CSV, PDF) without loss of information.

Capacity Planning Assistant

An advanced planning tool that helps healthcare administrators model different scenarios involving patient volume, staffing changes, and resource availability. This feature aids in making informed decisions about expansion and adjustments, ensuring readiness for fluctuating patient demands.

Requirements

Dynamic Scenario Modeling

User Story: As a healthcare administrator, I want to model different scenarios for patient volume and resources so that I can make informed decisions about staffing and resource allocation in advance of potential patient surges.
Description: The Capacity Planning Assistant must enable healthcare administrators to create and analyze multiple scenarios involving variations in patient volume, staffing levels, and resource availability. This functionality will allow users to simulate different operational situations, understand potential impacts, and prepare strategic plans accordingly. The tool should integrate with existing data inputs from the CuraDesk platform, ensuring that the scenarios reflect real-time information and historical trends. By facilitating proactive decision-making, this feature enhances operational readiness and efficiency in response to fluctuating patient demands.
Acceptance Criteria: Healthcare administrators need to model a scenario with increased patient volume during flu season, adjusting staffing levels and resource allocation accordingly.

Given that the healthcare administrator has created a model with increased patient volume, When they adjust staffing levels and resource allocations, Then the system must display updated projections and impact on patient care in real-time.

The Capacity Planning Assistant should allow an administrator to analyze the impact of different staffing scenarios on patient wait times.

Given that the administrator inputs various staffing levels into the model, When they run the scenario analysis, Then the system must generate detailed reports comparing projected wait times for each staffing scenario.

A healthcare administrator wants to simulate resource shortages to prepare for potential healthcare crises, such as a pandemic.

Given the resource availability data provided, When the administrator selects a scenario for resource shortages, Then the system must generate alternative strategies and suggestions for efficient resource reallocation.

An administrator is tracking historical patient volume trends to model future scenarios for strategic planning.

Given the historical patient volume data is integrated into the CuraDesk tool, When the administrator reviews the scenario modeling results, Then the projections must accurately reflect historical trends and suggest realistic outcomes.

The Capacity Planning Assistant should allow real-time collaboration between multiple healthcare administrators when modeling scenarios.

Given that multiple administrators are logged into the system, When one administrator updates a scenario, Then the updates must be immediately visible to all collaborating users.

A user wants to validate the accuracy of the model results against actual outcomes after implementing a new staffing plan.

Given that the new staffing plan has been implemented, When the administrator compares model predictions to actual patient flow and outcomes, Then the discrepancies must be within an acceptable range defined by the organization.

Real-Time Data Integration

User Story: As a healthcare administrator, I want the Capacity Planning Assistant to receive real-time updates from patient intake and staffing data so that I can ensure my scenario models reflect the most current operational conditions.
Description: The requirement encompasses the integration of real-time data feeds from existing modules within CuraDesk, including patient intake, staffing schedules, and resource allocation logs. This integration will ensure that all scenario modeling is based on current data, enhancing accuracy in forecasting and planning. The data must be updated in real time to reflect any changes in patient loads, enabling administrators to make informed decisions with the most up-to-date information. This requirement directly supports the functionality of the Dynamic Scenario Modeling feature by providing the necessary data inputs.
Acceptance Criteria: Real-time patient volume updates in the Capacity Planning Assistant based on the latest patient intake data.

Given the patient intake module is integrated, when a new patient is admitted, then the patient volume in the Capacity Planning Assistant must update automatically in real-time to reflect the new total.

Automated scheduling adjustments based on real-time staffing changes reflected in the system.

Given that staffing schedules are integrated, when a staff member's schedule changes, then the Capacity Planning Assistant should automatically adjust resource allocation in real-time according to the updated staffing data.

Integration of resource availability logs for accurate scenario modeling in the Capacity Planning Assistant.

Given that resource allocation logs are integrated, when a resource becomes unavailable (e.g., equipment or room), then the Capacity Planning Assistant must reflect this change immediately to avoid overbooking and ensure accurate planning.

Dynamic scenario modeling based on fluctuating patient loads informed by real-time updates.

Given that all required data feeds are integrated, when there is a significant fluctuation in patient load, then the Capacity Planning Assistant must update scenario models to reflect the new patient load status, enabling accurate forecasting and readiness planning.

Tracker for real-time alerts and notifications when major changes occur in patient or staff data.

Given that real-time data feeds are active, when a major change in patient load or staff scheduling occurs, then the system should generate alerts to notify administrators immediately for timely decision-making.

User interface feedback on integration status of real-time data within the Capacity Planning Assistant.

Given that real-time data feeds are in operation, when a user accesses the Capacity Planning Assistant, then the system should provide visual confirmation (e.g., green indicators) that data is being updated in real-time without any errors.

Documentation of average latency for real-time data updates across integrated modules.

Given that integration for real-time data is complete, when a comparison is made on the latency of data updates, then the average latency should not exceed the predetermined threshold (e.g., 5 seconds), ensuring timely access to current data.

User-Friendly Interface

User Story: As a healthcare administrator, I want the Capacity Planning Assistant to have an intuitive user interface so that I can quickly understand and use the tool without needing extensive technical training.
Description: The interface of the Capacity Planning Assistant should be designed to be intuitive and user-friendly, enabling healthcare administrators to easily navigate through the tool without extensive training. This requirement includes providing clear visualizations of scenarios, drag-and-drop features for adjusting parameters, and guided walkthroughs for new users. By simplifying the user experience, this feature will promote wider adoption among hospital staff and ensure that planning tools are accessible to all levels of users, leading to enhanced collaboration and better decision-making.
Acceptance Criteria: Healthcare administrators access the Capacity Planning Assistant for the first time to model patient volume during flu season and need to adjust staffing levels accordingly.

Given that the user has logged into CuraDesk, when they navigate to the Capacity Planning Assistant, then they should see a dashboard with clear visualizations of current patient volume, staffing levels, and resource availability, without any training required.

A healthcare administrator is revising patient capacity plans for an upcoming weekend and needs to drag and drop parameters to adjust the scenarios.

Given that the user is on the scenario planning page, when they use the drag-and-drop feature to adjust patient volume and staffing changes, then the updated scenario should reflect the changes visually in real-time without errors.

New users are onboarded to the Capacity Planning Assistant and need guided walkthroughs for the functionalities available in the tool.

Given that a new user selects the guided walkthrough option, when they follow the prompts, then they should complete the walkthrough with a score of at least 80% on understanding the key features of the tool and should express increased confidence in using the interface.

An administrator reviews the setup for the next month's capacity planning and needs to ensure that the interface supports collaboration among team members.

Given that the user has shared the scenario with another team member, when the second user accesses the shared scenario, then they should be able to view and edit parameters in real-time, with all changes saved automatically.

During a monthly review, an administrator assesses the effectiveness of the Capacity Planning Assistant and its impact on decision-making.

Given that the administrator has access to previous planning scenarios, when they generate a report based on those scenarios, then they should receive a detailed report showcasing at least a 20% improvement in resource allocation and staffing efficiency after using the tool.

A healthcare administrator prepares a presentation on capacity planning to stakeholders and needs to export data from the Capacity Planning Assistant.

Given that the user selects the export data feature, when they request to generate a report in PDF format, then the exported document should include all selected parameters and visualizations in a professional layout, without any formatting issues.

An administrator wants to customize the interface to better suit their workflow preferences and needs.

Given that the user is in the settings menu, when they attempt to customize the layout and color themes of the Capacity Planning Assistant, then the changes should save correctly and reflect immediately upon reloading the page.

Reporting and Analytics

User Story: As a healthcare administrator, I want to generate reports from the Capacity Planning Assistant so that I can share insights and analysis with my team and other stakeholders, helping us improve our planning strategies over time.
Description: The Capacity Planning Assistant must include robust reporting and analytics capabilities that allow users to generate reports based on simulated scenarios and outcomes. This feature should enable healthcare administrators to export data in various formats, including PDFs and spreadsheets, and facilitate sharing insights with other stakeholders. The analytics capabilities should provide trend analysis and performance metrics, helping administrators assess the effectiveness of their scenario planning efforts over time. This will support informed decision-making and continuous improvement in capacity management.
Acceptance Criteria: Generation of Reports for Simulated Patient Volume Scenarios

Given the Capacity Planning Assistant is open, when a healthcare administrator selects a simulated patient volume scenario, then the system must generate a report that contains relevant metrics including patient volume, staffing levels, and resource allocation in less than 5 seconds.

Exporting Reports in Multiple Formats

Given a generated report, when a user chooses to export the report, then the system must provide options to export in at least PDF and spreadsheet formats, ensuring the exported files maintain the report's layout and data integrity.

Trend Analysis Over Time

Given the capacity planning feature is utilized over a period of time, when a healthcare administrator accesses the analytics section, then the system should display trend analyses of key performance metrics like patient volume changes and staffing efficiency over the last 12 months.

Sharing Insights with Stakeholders

Given a successfully generated report, when a user selects the share option, then the system must allow the user to send the report via email to multiple stakeholders with a confirmation notification of successful sharing.

Performance Metrics Assessment

Given the analytics feature is enabled, when a healthcare administrator generates a performance metrics report, then the report should clearly show metrics for at least three key areas: patient wait times, resource utilization rates, and staff overtime hours, with comparisons to past data.

User Customization of Reports

Given the report generation interface, when a user selects customizable report settings, then the system must allow users to choose at least five different metrics to include in their reports and a date range for the data displayed.

Ease of Use for Non-Technical Users

Given the target user base includes non-technical healthcare administrators, when they access the reporting and analytics feature, then at least 80% of users must be able to generate and export a report without external assistance after a short tutorial session.

Collaboration Tools

User Story: As a healthcare administrator, I want the Capacity Planning Assistant to include collaboration features so that my team can communicate and work together more effectively while planning for capacity adjustments.
Description: Integrating collaboration tools within the Capacity Planning Assistant will enable healthcare administrators and their teams to communicate effectively while working on scenario modeling. This requirement includes features such as comments, task assignments, and real-time notifications. Enhanced collaboration promotes teamwork in managing capacity planning efforts and allows users to quickly address any issues or questions that arise during modeling. This will encourage collective ownership of decisions and support a shared understanding of operational planning among team members.
Acceptance Criteria: Implementation of real-time notifications to alert users about updates or changes in capacity planning scenarios.

Given a user is in the Capacity Planning Assistant, when a comment or task is assigned, then a real-time notification should be sent to all involved team members.

Users need to be able to leave comments on specific scenarios to facilitate discussions on strategic decisions.

Given a user is viewing a capacity planning scenario, when they leave a comment, then the comment should be visible to all team members and able to be responded to.

Task assignments need to be trackable so users can monitor progress towards scenario completion.

Given a user assigns a task to a team member, when the team member views their tasks, then the assigned task should be listed with the due date and status.

Users require a clear visual interface to access collaboration tools in the Capacity Planning Assistant.

Given a user accesses the Capacity Planning Assistant, when they navigate to the collaboration section, then all tools such as comments, tasks, and notifications should be clearly visible and accessible.

Facilitating team meetings through an integrated chat option for discussing capacity planning strategies in real-time.

Given a user is in the Capacity Planning Assistant, when they access the chat feature, then they should be able to chat in real time with team members without leaving the platform.

Ensuring data integrity and proper access controls for users during collaborations.

Given a user is collaborating on a capacity planning model, when they perform actions, then their access must be limited to those features permitted by their role.

Enable comprehensive documentation of discussions and decisions regarding capacity planning scenarios for future reference.

Given a user has left comments during a scenario discussion, when they finalize the scenario, then all comments should be archived for future reference.

Predictive Analysis Integration

User Story: As a healthcare administrator, I want the Capacity Planning Assistant to use predictive analytics to forecast future patient volumes so that I can make proactive staffing and resource decisions before surges occur.
Description: The Capacity Planning Assistant should integrate predictive analytics to forecast future patient volumes based on historical data and trends. This feature would leverage machine learning algorithms to analyze past data patterns and provide insights into potential future scenarios. By utilizing predictive analysis, healthcare administrators can make more informed decisions about staffing and resource allocation, enhancing their readiness for unforeseen changes in patient needs. This will complement scenario modeling by offering a data-driven approach to capacity planning.
Acceptance Criteria: Forecasting Patient Volume for Seasonal Increase

Given historical data from the last three years, When the user initiates the predictive analysis tool, Then the system should provide a forecast of patient volume for the upcoming flu season with at least 90% accuracy based on previous trends.

Dynamic Staffing Recommendations

Given the predicted patient volume forecast, When the user requests staffing recommendations, Then the system should suggest staffing levels that meet the projected demand for each department with a maximum deviation of 10%.

Resource Allocation Insights

Given the predicted patient volume and staffing levels, When the user accesses the resource allocation report, Then the report should include detailed insights on necessary resources (e.g., beds, medical supplies) for a variety of scenarios with recommendations for optimal allocation.

Scenario Modeling Integration

Given the available predictive analysis data, When the user engages in scenario modeling, Then the system should allow users to input different variables (e.g., staffing levels, resource availability) and visualize potential outcomes based on predictive analytics.

User Interface and Experience Testing

Given the predictive analysis integration within the Capacity Planning Assistant, When healthcare administrators use the feature, Then they should report an ease of use rating of 4 out of 5 or higher in user feedback surveys.

Data Accuracy and Reliability Testing

Given the integration of machine learning algorithms for predictive analytics, When the system analyzes historical data, Then the output should demonstrate an error margin of less than 5% when compared to actual patient volumes in a validation test over 6 months.

Performance Metrics Dashboard

A real-time analytics dashboard that tracks key performance indicators (KPIs) such as patient wait times, treatment turnaround, and resource allocation efficiency. By providing actionable insights, this feature empowers administrators to identify areas for improvement and implement strategic changes swiftly.

Requirements

KPI Tracking Integration

User Story: As a hospital administrator, I want to see real-time updates of key performance indicators on a centralized dashboard so that I can quickly assess operational efficiency and make informed decisions to improve patient care.
Description: This requirement involves developing an integration system that pulls data from various hospital management processes to populate the Performance Metrics Dashboard. It should gather data on patient wait times, treatment turnaround, and resource allocation from existing modules within the CuraDesk platform. This integration ensures that the dashboard provides real-time analytics and insights, enabling administrators to make informed decisions based on up-to-date information. It will significantly enhance data accuracy and usefulness, supporting strategic planning and operational efficiency.
Acceptance Criteria: Real-time data population in the Performance Metrics Dashboard for patient wait times.

Given that the system is integrated with modules, when a new patient check-in is recorded, then the average wait time is updated in the dashboard within one minute.

Display of treatment turnaround times in the Performance Metrics Dashboard.

Given that the treatment data is collected from existing modules, when treatment is completed, then the turnaround time for that treatment is reflected in the dashboard within two minutes.

Accurate representation of resource allocation efficiency in the Performance Metrics Dashboard.

Given that resource allocation data is sourced from existing records, when a resource allocation update occurs, then the dashboard reflects the new efficiency metrics within five minutes.

User accessibility features for the Performance Metrics Dashboard.

Given that a hospital administrator accesses the dashboard, when they navigate to the KPI section, then all KPIs should be displayed clearly and be interactively sortable by time period and type.

Alerts and notifications based on performance metrics thresholds.

Given that KPI thresholds are set, when any KPI exceeds the defined threshold, then an alert notification is sent to the administrator's dashboard within one minute of the event.

Integration tests for reliable data flow into the Performance Metrics Dashboard.

Given that the integration system has been established, when data is pushed to the dashboard, then no more than 2% of data records should generate errors in the reporting.

Data accuracy verification process for the Performance Metrics Dashboard.

Given that data updates are made, when an audit is performed on the dashboard data, then the correction rate should be less than 1% discrepancies compared to source records.

Customizable Dashboard Views

User Story: As a hospital administrator, I want to customize the performance metrics dashboard with the most relevant KPIs for my department so that I can monitor critical metrics that influence my operational decisions.
Description: This requirement entails enabling users to customize their views within the Performance Metrics Dashboard. Administrators should have the ability to select which KPIs are displayed, arrange them according to priority, and set specific thresholds for alerts. This feature will allow users to tailor the dashboard to their specific needs and focus on the metrics that matter most to their operations. Customizability will enhance user engagement and improve the relevance of insights provided by the dashboard.
Acceptance Criteria: As an administrator, I want to customize my dashboard to show only the metrics that are critical to me, such as patient wait times and treatment turnaround, so that I can focus on these KPIs without unnecessary distractions.

Given that I am logged in as an administrator, When I access the Performance Metrics Dashboard and select the customization option, Then I should be able to select which KPIs to display and arrange them according to priority.

As an administrator, I want to set specific thresholds for alerts on my dashboard metrics, so that I am notified when KPIs, such as patient wait times, exceed acceptable limits and can take immediate action.

Given that I have selected my desired KPIs on the dashboard, When I set a threshold value for the alert on a specific KPI, Then the system should notify me whenever the KPI surpasses that threshold value.

As an administrator, I want to rearrange the displayed KPIs on my dashboard based on changing priorities, such as during peak hours or when monitoring critical patient metrics, so that I can ensure focus on the most relevant data at all times.

Given that I have accessed the KPI customization menu, When I drag and drop the selected KPIs to rearrange their order, Then the dashboard should reflect the new order immediately without needing to refresh the page.

As an administrator, I want to save different customized dashboard views for different scenarios or shifts, so that I can quickly switch between them based on my current monitoring needs.

Given that I have made my customizations to the dashboard, When I choose the option to save the current view, Then I should be able to name and retrieve this view anytime from the dashboard settings.

As an administrator, I want to reset my dashboard to the default settings if my customizations are not meeting my needs, so that I can start fresh without complications.

Given that I have modified my dashboard, When I choose the reset option, Then the dashboard should revert to the original default configuration available when I first accessed the platform.

As an administrator, I want to see a preview of my customized dashboard before finalizing changes, so that I can ensure that my selections appear as I intend them to.

Given that I have made changes in the customization settings, When I click on the preview option, Then a temporary view of the dashboard should display all selected KPIs in the proposed arrangement without applying the changes yet.

As an administrator, I want to access documentation or tooltips that explain what each KPI represents when customizing the dashboard, so that I can make informed decisions about which metrics to include.

Given that I am customizing the dashboard, When I hover over a KPI option, Then I should see a tooltip explaining its definition and significance when making my selections.

Automated Reporting Alerts

User Story: As a hospital administrator, I want to receive automated alerts when performance metrics exceed critical thresholds so that I can take immediate action to resolve potential issues before they affect patient care.
Description: This requirement focuses on creating an automated alert system that notifies administrators when specific KPIs fall outside predefined thresholds. For example, if patient wait times exceed a set limit, the system will send alerts via email or SMS. This proactive feature will help healthcare administrators promptly address issues, promoting timely interventions to enhance patient experience and operational performance. Automated alerts will also reduce the burden on administrators to constantly monitor dashboard metrics.
Acceptance Criteria: Automated alert triggers when patient wait time exceeds threshold.

Given the current patient wait time exceeds the predefined limit, when the system processes the metrics, then an automated alert should be sent via email and SMS to the designated administrator.

Verification of alert content and format.

Given an automated alert is generated, when the administrator receives the alert, then the alert should contain the specific KPI that triggered it, the current value, and the predefined threshold, in a readable format.

Alert delivery integrity for multiple channels.

Given an automated alert is triggered, when sent, then the alert should be delivered successfully through both email and SMS without delay or errors in a timely manner.

Configuration adjustments for threshold limits.

Given that the administrator desires to change the KPI thresholds, when they adjust the settings in the system, then the system should save these new limits and use them for future alert triggering.

Logging of alert history for auditing purposes.

Given an alert is sent, when the alert is triggered, then the system should log the alert details including timestamp, KPI, current value, and user who made the threshold changes in an alert history record.

User-friendly interface for managing alert settings.

Given a user accesses the alert settings section, when they view or change the settings, then the interface should be intuitive, with clear options for managing KPIs and notifications.

Feedback mechanism for alert effectiveness.

Given an alert was sent, when the administrator addresses the KPI issue, then they should provide feedback on the alert's relevance and timeliness to help improve the system.

Data Visualization Enhancements

User Story: As a hospital administrator, I want to see performance metrics displayed using engaging visualizations so that I can quickly understand trends and make data-driven decisions.
Description: This requirement involves improving the data visualization capabilities of the Performance Metrics Dashboard to include various graph types, charts, and visual representations of KPIs. Key performance indicators should be presented in an engaging and easily interpretable manner, using features like color-coding, trend lines, and comparison charts. Enhanced visualizations will aid administrators in quickly grasping performance trends and making comparisons over time or against benchmarks.
Acceptance Criteria: Display Multiple Graph Types for KPIs

Given the user is on the Performance Metrics Dashboard, when they select a KPI from the dropdown menu, then various graph types (bar, line, pie) should be available for selection and displayed correctly based on the chosen type.

Color-Coding for KPI Visualization

Given the user has selected a KPI to view, when the dashboard displays the data, then color-coding should be applied to the graph to indicate performance levels (e.g., red for poor, yellow for average, green for good).

Interactive Trend Lines on Historical Data

Given the user is reviewing a KPI over time, when they hover over the chart, then detailed trend lines should be displayed showing the historical data points and comparisons with benchmarks.

Comparison Charts for Benchmarking

Given the user is analyzing a specific KPI, when they choose to include a benchmark, then a comparison chart should be displayed allowing clear visual distinction between actual performance and benchmarks.

Data Refresh for Real-Time Updates

Given the user is actively viewing the Performance Metrics Dashboard, when there are updates to the underlying data, then the dashboard should refresh automatically to display the most current information without manual refresh required.

Export Functionality for Visualizations

Given the user has configured the visual representation of KPIs, when they click the export button, then they should be able to download the visualizations in multiple formats (e.g., PDF, PNG) without loss of quality.

Tooltips for Enhanced Understanding

Given the user is examining a specific data point on a graph, when they hover over that data point, then a tooltip should appear displaying detailed information about the KPI value and context.

User Role Permissions for Dashboard Access

User Story: As a healthcare worker, I want to access only the performance data relevant to my role, so that I can focus on my responsibilities without being overwhelmed by extraneous information.
Description: This requirement establishes a role-based access control system that allows different levels of access to the Performance Metrics Dashboard based on user roles. For example, administrators may have full access, while other staff members might only view certain metrics. This enhances security and ensures that sensitive information is only accessible to authorized personnel. It also provides users with a tailored experience based on their roles and responsibilities within the hospital.
Acceptance Criteria: Administrator accesses the Performance Metrics Dashboard to view all KPIs during a scheduled operational review meeting.

Given the user is an Administrator, when they access the Performance Metrics Dashboard, then they should be able to view all key performance indicators and metrics without any restrictions.

Nurse accesses the Performance Metrics Dashboard to view patient wait times for their department.

Given the user is a Nurse assigned to a department, when they access the Performance Metrics Dashboard, then they should be able to view patient wait times specific to their department only, without access to sensitive data from other departments.

A hospital staff member attempts to access the Performance Metrics Dashboard without the necessary permissions.

Given the user is not authorized to access the Performance Metrics Dashboard, when they attempt to log in, then they should receive an error message indicating insufficient permissions and be redirected to the login page.

A healthcare administrator customizes view settings on the Performance Metrics Dashboard to prioritize specific KPIs for a reporting meeting.

Given the user is an Administrator, when they modify the settings on the Performance Metrics Dashboard to prioritize specific KPIs, then those settings should be saved, and the dashboard should reflect the customized views the next time the administrator logs in.

An IT administrator modifies user roles and permissions for the Performance Metrics Dashboard.

Given the IT administrator is logged in, when they change the permissions for a user role to limit access to certain KPIs, then those changes should be immediately applied without requiring system restart and visible in the user’s next login.

An analytics report is generated based on data from the Performance Metrics Dashboard.

Given any user with appropriate access, when they request to generate an analytics report from the Performance Metrics Dashboard, then the system should produce the report reflecting the most current data based on the user’s assigned access level.

Historical Data Analysis

User Story: As a hospital administrator, I want to analyze historical performance metrics so that I can identify trends, measure improvements, and make informed decisions for future strategies.
Description: This requirement focuses on the capability to analyze historical data trends over time within the Performance Metrics Dashboard. Administrators should be able to view past performance metrics to evaluate changes, track improvements, and identify recurring issues. Historical data analysis will provide valuable insights that assist in forecasting and strategic planning. Furthermore, this feature will allow healthcare administrators to measure the effectiveness of initiatives over time.
Acceptance Criteria: Historical Data Analysis allows administrators to filter the performance metrics by specific time frames to evaluate trends over the last quarter year.

Given an administrator selects a time frame from the last quarter, When the historical data analysis is executed, Then the dashboard displays performance metrics accurately reflecting the selected time frame.

Administrators can compare current performance metrics with historical data to assess improvements or declines in service levels.

Given the administrator selects current metrics and historical data for comparison, When the comparison is processed, Then the dashboard provides a visual representation indicating differences in performance metrics.

The system allows administrators to generate reports based on historical performance data for strategic planning.

Given an administrator requests a report generation for historical data analysis, When the report is generated, Then it should include relevant KPIs, trends, and identifiable areas for improvement in a downloadable format.

A notification system alerts administrators when historical data shows significant declines in key performance indicators.

Given the historical data analysis is running in the background, When a decline in performance metrics surpasses predefined thresholds, Then a notification is sent to the relevant administrators.

The dashboard provides trendlines that allow administrators to visualize changes in performance metrics over time.

Given the historical data is available for the selected KPIs, When the trendline visualization is displayed, Then it must accurately reflect data points for each monitored metric over the specified time period.

Administrators are able to customize which performance metrics appear on their historical data analysis dashboard.

Given the administrator is on the dashboard settings page, When they select or deselect metrics to be displayed, Then the dashboard updates in real-time to reflect these preferences.

Mobile Accessibility

User Story: As a hospital administrator, I want to access the performance metrics dashboard from my mobile device so that I can monitor key indicators and make timely decisions even when I am away from my desk.
Description: This requirement addresses the need for the Performance Metrics Dashboard to be accessible on mobile devices. Administrators should be able to check real-time KPIs using their smartphones or tablets, ensuring they have access to crucial information while on the go. Mobile accessibility will facilitate flexible monitoring of performance metrics, allowing healthcare decision-makers to remain informed regardless of their location, enhancing overall responsiveness and decision-making speed.
Acceptance Criteria: Mobile Dashboard Access by Administrators

Given an administrator is using a smartphone or tablet, when they navigate to the Mobile Performance Metrics Dashboard, then they should see a fully functional dashboard displaying real-time KPIs.

Data Refresh Rate for Mobile Users

Given the Mobile Performance Metrics Dashboard is open, when the dashboard is refreshed, then real-time data should update within 5 seconds to ensure timely information access.

User Authentication on Mobile Devices

Given an administrator wants to access the Mobile Performance Metrics Dashboard, when they input valid login credentials, then they should be granted access to the dashboard securely without errors.

Mobile Compatibility Across Devices

Given an administrator accesses the dashboard on different mobile devices, when viewing the dashboard, then all elements should be responsive and visually consistent across smartphones and tablets.

Offline Access for Mobile Dashboard

Given the Mobile Performance Metrics Dashboard is accessed in an area with no internet connection, when the application is opened, then the last viewed data should be available for review until a connection is restored.

User Feedback Functionality

Given an administrator uses the Mobile Performance Metrics Dashboard, when they encounter a dashboard feature, then they should have the option to submit feedback on usability and suggest improvements, which is captured for review.

Performance Metrics Alerts on Mobile

Given an administrator has set performance thresholds, when those thresholds are crossed, then they should receive push notifications on their mobile device alerting them to the discrepancies in real-time.

Predictive Maintenance Alerts

This feature monitors hospital equipment usage and predicts when maintenance is needed based on usage patterns and performance metrics. By scheduling maintenance before breakdowns occur, hospitals can ensure that critical resources are always available, enhancing operational continuity.

Requirements

Real-time Equipment Monitoring

User Story: As a hospital administrator, I want to monitor equipment usage in real-time so that I can make informed decisions about maintenance scheduling and ensure the availability of critical resources.
Description: This requirement mandates the implementation of real-time monitoring of hospital equipment usage, allowing for the collection of performance metrics and usage patterns. The functionality will integrate seamlessly with the existing CuraDesk platform, providing healthcare administrators with detailed insights into equipment utilization. By enabling constant tracking, hospitals can identify trends that may indicate the need for maintenance before issues arise. This proactive approach not only reduces downtime but also enhances patient care by ensuring that critical medical equipment is always operational when needed.
Acceptance Criteria: Real-time Equipment Usage Tracking for Surgical Instruments

Given that a surgical procedure is scheduled, When the surgical instruments are in use, Then the system should record the duration of use and performance metrics in real-time for each instrument.

Alert Generation for Equipment Maintenance Needs

Given that equipment usage data is being monitored, When the usage reaches a predefined threshold indicating potential maintenance, Then the system should generate an alert for the maintenance team with necessary details.

Dashboard Visualization for Equipment Utilization

Given that real-time data is collected, When a healthcare administrator accesses the dashboard, Then they should see visual representations of equipment utilization rates and performance metrics for each piece of equipment.

Integration with Existing CuraDesk Platform

Given that the real-time monitoring system is implemented, When data is collected, Then it should seamlessly integrate with the existing CuraDesk platform without any data loss or discrepancies.

Historical Data Analytics for Predictive Maintenance

Given that historical equipment data is stored, When a healthcare administrator requests analytics reports, Then the system should provide insights on equipment performance trends and predicted maintenance schedules based on past usage.

User Authentication and Role-Based Access

Given that multiple users access the real-time monitoring feature, When a user logs in, Then the system should authenticate based on user credentials and provide role-based access to the monitoring data.

Mobile Access for Real-time Notifications

Given that the monitoring system is active, When a maintenance alert is generated, Then authorized users should receive real-time notifications on their mobile devices.

Predictive Analytics Engine

User Story: As a hospital facility manager, I want to receive predictive alerts for equipment maintenance so that I can prevent breakdowns and ensure all medical devices function correctly during critical moments.
Description: This requirement involves the development of a predictive analytics engine that utilizes data from the real-time monitoring system to forecast when maintenance is needed on medical equipment. The engine will analyze historical usage data and current performance metrics to identify patterns indicative of potential failures. By integrating this engine within the CuraDesk platform, administrators can receive alerts and recommendations for proactive maintenance, which minimizes unexpected equipment breakdowns and extends the lifespan of devices, ultimately improving operational efficiency and patient outcomes.
Acceptance Criteria: Integration of Predictive Analytics Engine with Equipment Monitoring System

Given that the predictive analytics engine is integrated with the real-time monitoring system, when the system analyzes usage data, then it should successfully identify at least 90% of the maintenance needs based on historical patterns within a 24-hour observation period.

Real-time Alert Generation for Maintenance Needs

Given that the predictive analytics engine detects a potential maintenance need, when maintenance is forecasted, then an alert should be generated and sent to administrators within 5 minutes of the detection.

Accuracy Verification of Predictions

Given that the predictive analytics engine has provided maintenance alerts, when comparing predicted maintenance needs with actual maintenance performed over a month, then the accuracy rate should be at least 85% for all equipment types.

User Interface for Maintenance Alerts

Given that the predictive maintenance alerts are generated, when an administrator views the CuraDesk dashboard, then all active maintenance alerts should be displayed in a user-friendly, sortable format with timestamps and severity levels.

Historical Data Analysis Performance

Given that the predictive analytics engine is operational, when analyzing the historical data for equipment usage, then the analysis should complete with a processing time of less than 10 seconds for datasets of up to 100,000 records.

Impact on Equipment Lifespan and Costs

Given that the predictive maintenance alerts are implemented, when comparing equipment breakdowns and maintenance costs over a year prior and after the usage of the predictive analytics engine, then there should be a reduction of at least 30% in unexpected equipment failures and maintenance costs.

User Feedback on Predictive Alerts

Given that healthcare administrators receive predictive maintenance alerts, when collecting feedback from users via surveys within the first 3 months of implementation, then at least 75% of users should report satisfaction with the accuracy and timeliness of the alerts.

Automated Scheduling of Maintenance

User Story: As a maintenance coordinator, I want maintenance schedules to be automated based on equipment usage predictions so that I can efficiently manage the maintenance workload without disrupting hospital operations.
Description: This requirement focuses on the automated scheduling of maintenance based on predictive alerts generated by the predictive analytics engine. The functionality will allow hospital administrators to set parameters and preferences for maintenance scheduling, ensuring that maintenance tasks are performed at optimal times when the equipment is least in use. This integration further enhances the hospital's operational continuity by aligning maintenance activities with the hospital's workflow, reducing disruptions, and ensuring critical resources remain available for patient care.
Acceptance Criteria: Automated scheduling of maintenance for operating room equipment during off-peak hours.

Given the predictive maintenance alerts are active, when the administrator sets the schedule preferences for equipment maintenance to avoid peak usage times, then maintenance tasks should be automatically scheduled in the system accordingly without conflicts during high-demand periods.

Generating notifications for staff about upcoming maintenance.

Given that maintenance is scheduled, when the schedule is confirmed, then relevant staff members should receive automated notifications detailing the maintenance date, time, and affected equipment at least 48 hours prior to the maintenance window.

Handling conflicts in the maintenance schedule due to emergency situations.

Given that a maintenance task is scheduled, when an emergency arises that requires the use of the equipment, then the system should allow the administrator to postpone or reschedule the maintenance while notifying maintenance staff of the changes.

Tracking the history of maintenance schedules and performed tasks.

Given that maintenance tasks are completed, when the administrator accesses the maintenance history report, then the report should show all past maintenance tasks, including dates, equipment involved, and any notes or issues encountered during maintenance.

Allowing customization of maintenance parameters for different equipment types.

Given that various equipment types have distinct usage patterns, when the administrator configures maintenance settings for each type, then the system should allow distinct parameters for scheduling frequency and off-peak hours for each equipment category.

Demonstrating the prediction accuracy of the analytics engine.

Given that the predictive maintenance alerts are generated, when comparing the predicted maintenance needs to actual breakdown incidents, then the prediction accuracy should show at least a 90% accuracy rate for scheduling maintenance before failures occur.

Ensuring seamless integration with the hospital's existing scheduling system.

Given that the maintenance scheduling is automated, when the maintenance tasks are scheduled, then those tasks should automatically reflect in the hospital's master scheduling system to avoid conflicts with other scheduled hospital activities.

User Notifications for Maintenance Alerts

User Story: As a medical staff member, I want to receive notifications about upcoming equipment maintenance so that I can prepare accordingly and ensure there is no impact on patient care.
Description: This requirement entails the implementation of a notification system that informs relevant staff members about upcoming maintenance needs and schedules. The system will send alerts through multiple channels such as email and in-app notifications, ensuring that all stakeholders are informed in a timely manner. This feature is essential for enhancing communication among medical, maintenance, and administrative teams, allowing for coordinated efforts to address maintenance without compromising patient care. The notifications will include actionable insights and options for rescheduling if necessary.
Acceptance Criteria: User Receives Email Notification for Upcoming Maintenance

Given that a maintenance alert is scheduled, When the scheduled date is approaching, Then the relevant staff members should receive an email notification containing details of the maintenance schedule and actionable insights for rescheduling if necessary.

User Receives In-App Notification for Urgent Maintenance Needs

Given that a critical equipment maintenance need arises unexpectedly, When the maintenance alert is triggered, Then relevant staff members should receive an immediate in-app notification on their CuraDesk dashboard.

User Views Notification History for Maintenance Alerts

Given that notifications are sent out for maintenance alerts, When a staff member accesses the notification history section, Then they should be able to view a chronological list of all maintenance notifications received, including their status.

User Reschedules Maintenance via Notification Options

Given that a maintenance alert notification is received, When a staff member chooses to reschedule maintenance, Then the system should allow them to select a new date and confirm the rescheduling process successfully.

User Confirms Receipt of Maintenance Alert Notifications

Given that maintenance alert notifications are sent, When a staff member receives a notification, Then they should have the ability to confirm receipt of the notification within the notification system.

User Preferences for Notification Channels and Frequency

Given that users have different information needs, When a user sets their preferences in the notification settings, Then the system should respect these preferences for the channels and frequency of maintenance alerts sent.

User Reports Issues with Receiving Notifications

Given that users may experience issues with notifications, When a staff member reports an issue with receiving maintenance alerts, Then the system should log the issue and provide the user with troubleshooting steps or escalate the issue to support.

Performance Metrics Dashboard

User Story: As a healthcare administrator, I want to access a performance metrics dashboard so that I can visualize equipment performance data and make informed decisions for hospital management.
Description: This requirement defines the creation of a performance metrics dashboard within the CuraDesk platform that visualizes equipment usage, maintenance schedules, and predictive analytics insights. The dashboard will be designed for easy navigation and usability, allowing users to view trends and performance at a glance. By having access to real-time data in an intuitive format, healthcare administrators can make better-informed decisions regarding equipment management, resource allocation, and strategic planning for hospital operations, contributing to improved patient outcomes and operational efficiency.
Acceptance Criteria: Dashboard Access for Equipment Usage Visualization

Given a logged-in user with the appropriate permissions, when they navigate to the Performance Metrics Dashboard, then they should see a visual representation of equipment usage data, including past usage trends and current performance metrics over various time frames.

Maintenance Schedule Notifications

Given a logged-in user monitoring the dashboard, when the equipment maintenance schedule is approaching within the predefined notification window, then the user should receive an automated alert on the dashboard highlighting the upcoming maintenance needs for critical equipment.

Predictive Analytics Insights Availability

Given a healthcare administrator reviewing the Performance Metrics Dashboard, when they request predictive analytics insights, then the dashboard should display recommendations for maintenance actions based on historical data and usage patterns.

Dashboard Usability and Navigation Testing

Given a user interacting with the Performance Metrics Dashboard, when they attempt to navigate through different visualizations, then they should be able to seamlessly switch between various data views (e.g., equipment usage, maintenance schedules) without confusion or delay.

User Feedback Collection on Dashboard Functionality

Given the Performance Metrics Dashboard is in use, when users utilize the feedback feature, then they should be able to submit their comments and suggestions regarding the dashboard functionality and usability, and this feedback should be stored for review.

Real-Time Data Refresh Mechanism

Given a user on the Performance Metrics Dashboard, when they view the dashboard, then the data displayed should refresh in real-time, ensuring that users are always looking at the most current performance metrics and maintenance schedules without manual refresh.

Performance Metrics Export Functionality

Given a logged-in user assessing the Performance Metrics Dashboard, when they select the export option, then they should be able to download the visible performance metrics data in a specified format (e.g., CSV, PDF) for reporting and analysis purposes.

Trend Analysis Reports

Automated reports that analyze patient flow trends and resource use over time. By identifying patterns and anomalies, hospital management can make data-driven decisions that optimize staffing and resource allocation in line with patient care demands.

Requirements

Automated Data Collection

User Story: As a hospital administrator, I want automated data collection from various systems so that I can generate comprehensive trend analysis reports without errors or delays.
Description: This requirement focuses on the automatic collection of patient data from various sources within the hospital, such as electronic health records (EHR), scheduling systems, and billing data. By integrating seamlessly with existing hospital software, this feature will enable real-time data aggregation, allowing for the accurate tracking of patient flow and resource utilization. The benefits include reduced manual entry errors, enhanced efficiency in report generation, and the provision of rich, actionable insights that support data-driven decision-making for hospital management.
Acceptance Criteria: Automated Data Collection from EHR Systems

Given that the EHR system is integrated with CuraDesk, when patient data is added or updated, then the data must be automatically populated in the CuraDesk platform within 5 minutes.

Real-time Patient Flow Tracking

Given that patient admission data is collected automatically, when a patient enters the emergency department, then the patient flow report should update to reflect their status in real-time without any manual input.

Scheduling System Integration

Given that the hospital uses a scheduling system, when a patient's appointment is created or modified, then the related data should be reflected in the trend analysis report within 10 minutes.

Billing Data Automation

Given that billing data is collected from the hospital's billing system, when a patient's billing record is created, then the corresponding patient data must be visible in the analytics dashboard within 15 minutes.

Error Handling in Data Collection

Given that there might be an error during the data collection process, when an error occurs, then the system should generate an alert and log the error for review by the administrative staff.

User Access and Data Security

Given that the platform collects sensitive patient data, when different user roles access the system, then the system must enforce role-based access controls to protect patient privacy and data integrity.

Data Aggregation and Report Generation

Given that patient data is automatically collected from multiple sources, when a report is generated, then it should reflect accurate and consolidated patient flow trends and resource usage metrics based on the most recent data.

Customizable Report Generation

User Story: As a healthcare analyst, I want to customize my reports to focus on specific departments so that I can identify unique trends and resource needs tailored to each area of the hospital.
Description: This requirement entails the development of a user-friendly interface that allows hospital staff to create customizable trend analysis reports based on specific parameters such as time frames, departments, or patient demographics. Users should be able to select various data points to include in their reports, aiding in the visualization of patient flow trends over time. This feature promotes tailored insights that better inform operations and enhance strategic planning, ultimately improving resource allocation.
Acceptance Criteria: User selects specific parameters to generate a trend analysis report for a designated department over the last quarter.

Given the user is on the report generation page, when they select 'Department A' and the time frame 'Last Quarter', then the system should generate a report that includes data for the specified department and time frame.

User adds multiple data points to the trend analysis report, such as patient demographics and resource usage statistics.

Given the user has selected a department and time frame, when they add 'Patient Demographics' and 'Resource Usage' as data points, then the report generated should reflect these additions accurately.

User attempts to generate a report without selecting any parameters.

Given the user is on the report generation page, when they click the 'Generate Report' button without selecting any parameters, then the system should display an error message indicating that parameters must be selected before generating a report.

User saves a customizable report for future use.

Given the user has generated a report with customized parameters, when they click the 'Save Report' button and name the report, then the system should save the report with the specified name and allow the user to retrieve it later from the saved reports section.

User views the generated trend analysis report in different formats such as PDF or Excel.

Given the user has generated a trend analysis report, when they select the option to download the report, then the system should provide options to download the report in both PDF and Excel formats.

User edits a previously saved report's parameters.

Given the user is in the saved reports section, when they select a saved report and change its parameters, then the system should update the report based on the new parameters and confirm the changes have been made.

User generates a trend analysis report for patient flow across multiple departments.

Given the user selects 'Multiple Departments' and a specified time frame, when they generate the report, then the system should include comparative data for all selected departments in a single report.

Interactive Data Visualization

User Story: As a hospital manager, I want to visualize data trends interactively so that I can easily interpret the information and make quick decisions based on the latest data.
Description: This requirement focuses on integrating interactive data visualization tools into the report generation process. These visual tools will allow users to graphically represent patient flow trends, resource use, and staffing efficiency over time. Visual representations such as charts, graphs, and heat maps will enhance the comprehensibility of the data, making it easier for decision-makers to identify patterns and anomalies. This capability is essential for effective communication of insights across different levels of hospital management and allows for rapid identification of trends.
Acceptance Criteria: User navigates to the Trend Analysis Reports section and selects a specific time frame to analyze patient flow trends.

Given the user has accessed the Trend Analysis Reports, When they select a date range and click on the 'Generate Report' button, Then the interactive data visualization displays a graph illustrating patient flow trends for the specified period.

Hospital management needs to identify staffing inefficiencies through resource use analytics.

Given the interactive data visualization for resource use is displayed, When the user selects the 'Staffing Efficiency' option, Then a heat map is generated highlighting areas where staffing levels are either too high or too low compared to patient care demands.

A hospital administrator wants to share insights from the reports during a management meeting.

Given the report is generated with the interactive visualizations, When the user clicks on 'Export to PDF', Then the report, along with all visualizations included, is exported as a PDF document with a timestamp and the administrator's name as an author.

Decision-makers need to analyze anomalies in patient flow trends to adapt strategies quickly.

Given the interactive data visualization is available, When the user clicks on any data point that represents an anomaly, Then a detailed tooltip appears showing the exact metrics for that point, including patient count, time, and resource allocation.

A healthcare analyst wants to customize the view of data visualizations for detailed analysis.

Given the data visualization tools are loaded, When the user selects various data filters (e.g., age group, department, time of day), Then the visualizations update instantly to reflect the selected filters, accurately representing the updated data.

Hospital staff requires insights into resource utilization trends across multiple departments.

Given the user navigates to the multi-department view within the reports, When they select different departments to compare, Then the interactive visualization generates a side-by-side comparison chart showing resource utilization metrics for each selected department.

A hospital manager is interested in understanding the trends over a fiscal year.

Given the user accesses the reports and selects the fiscal year option, When the report is generated, Then interactive visualizations represent trends and patterns for each month within that fiscal year, clearly showing high and low activity periods.

Automated Alert System

User Story: As a unit supervisor, I want to receive alerts about significant changes in patient flow so that I can respond quickly to issues and ensure that our resources are properly allocated.
Description: This requirement involves the creation of an automated alert system that notifies hospital staff about significant changes or anomalies in patient flow and resource usage, based on predetermined thresholds. These alerts will be sent in real-time via email or in-app notifications, allowing for prompt response to potential issues such as congested emergency rooms or unexpected resource shortages. This proactive approach enhances operational efficiency and supports better patient care outcomes.
Acceptance Criteria: Real-time alert notification for hospital staff when patient flow exceeds predetermined thresholds during peak hours.

Given that the patient flow exceeds the threshold, when the alert system detects this change, then an email and in-app notification is sent to relevant hospital staff within 2 minutes.

Alert notification sent to staff for resource shortages identified in real-time from the system analytics.

Given that the system identifies a resource usage anomaly, when the threshold for resource availability is breached, then the alert is sent to the concerned staff within 5 minutes.

Testing the accuracy of alert conditions by simulating various patient flow scenarios.

Given a simulation of patient flow scenarios that exceed alert thresholds, when the scenarios are executed, then the alert system generates appropriate alerts without false positives or negatives.

Hospital staff receiving multiple alerts during a significant influx of patients to test alert prioritization.

Given multiple alerts are triggered within a short time frame, when these alerts are generated, then the system prioritizes and consolidates alerts to ensure relevant staff receive coherent notifications.

Evaluation of user feedback on the effectiveness of the alert system after implementation.

Given that the alert system is operational, when users provide feedback on its relevance and timeliness, then at least 80% of users indicate that alerts are helpful and timely.

Alert system fails due to a network disruption to test system resilience.

Given the network is disrupted, when an alert condition is met, then the alert system should log the alert and send it once the network is restored within 10 minutes.

Monitoring the historical data of alerts to assess trends and system performance.

Given the automated alert system has been in place for at least three months, when reviewing alert logs, then at least 90% of alerts correspond to verified anomalies in patient flow and resource usage.

Historical Data Access

User Story: As a financial analyst, I want to access historical patient flow data so that I can provide insights for long-term budgeting and resource planning.
Description: This requirement pertains to the ability to access and analyze historical data related to patient flow trends and resource usage. It allows hospital administrators to compare current trends with past performance over specific periods, enabling more accurate forecasting and strategic planning. By integrating this historical data into trend analysis reports, the hospital can observe long-term patterns and make informed adjustments to operational strategies.
Acceptance Criteria: Historical Data Comparison for Trends Analysis

Given the historical patient flow data is available, when the administrator requests a trend analysis report for the past three months, then the system should generate a report comparing the current month's patient flow with the average from the past three months.

Real-time Data Integration with Historical Trends

Given the system integrates real-time patient tracking data, when a hospital administrator views the trend analysis report, then the report should automatically update with the latest patient flow and resource usage data for the identified periods, maintaining a correlation with historical data.

User Permissions for Historical Data Access

Given a hospital administrator is logged into the system, when they attempt to access the historical data for patient flow and resource usage, then they should only be able to view data for the departments they have permission to access, ensuring data privacy and compliance.

Performance of Data Retrieval from Historical Records

Given historical data is required for analysis, when the administrator initiates a data request, then the system should retrieve and display the requested historical data within 5 seconds, ensuring efficiency in data analysis.

Data Accuracy in Trend Analysis Reports

Given historical data is used in the trend analysis, when the report is generated, then the report should reflect a 99% accuracy in the historical figures displayed, ensuring the reliability of the analysis.

Customizable Reporting Period for Historical Data

Given the need for flexible reporting, when a hospital administrator selects the reporting period for the trend analysis, then the system should allow the selection of any custom timeframe within the last five years, facilitating tailored data analysis.

Alerts for Anomalies in Historical Trends

Given the historical data patterns, when the trend analysis report generates, then the system should highlight any anomalies or significant deviations from expected trends, enabling proactive resource management.

Compliance and Security Features

User Story: As a compliance officer, I want to ensure that all patient data reports meet regulatory standards so that we can avoid penalties and maintain our hospital’s reputation.
Description: This requirement emphasizes the implementation of compliance and security features to ensure that all patient data collected and reported adheres to healthcare regulations such as HIPAA. Enhanced security measures such as data encryption, secure access controls, and audit logs will be integrated to protect sensitive information. These features are vital not only for regulatory compliance but also for maintaining the trust of patients and stakeholders in data handling practices.
Acceptance Criteria: Patient data access by healthcare providers during emergency situations.

Given a healthcare provider accessing CuraDesk during an emergency, when they enter their secure credentials, then they should be granted access to the patient data they require without any delays.

Audit log verification for patient data access activities.

Given that audit logging is active, when a healthcare provider accesses patient data, then an entry should be made in the audit log capturing the user's ID, timestamp, and type of data accessed.

Data encryption verification during transmission of patient data.

Given that patient data is being transmitted from CuraDesk, when the data is in transit, then it should be encrypted using industry-standard encryption methods to protect against unauthorized access.

Implementation of secure access controls for user roles within CuraDesk.

Given healthcare staff with different roles, when a user attempts to access sensitive patient information outside their role permissions, then they should be denied access and receive a notification stating the reason.

Compliance check for patient data handling against HIPAA regulations.

Given that patient data is collected and reported within CuraDesk, when a compliance audit is conducted, then CuraDesk should pass the audit and demonstrate compliance with HIPAA regulations.

Functional tests of security features post-implementation.

Given the completion of security features integration, when performing penetration testing on CuraDesk, then no critical vulnerabilities should be discovered that could compromise patient data security.

Training for staff on compliance and security features.

Given that training sessions are conducted, when healthcare staff complete the compliance training, then they should demonstrate a minimum proficiency of 90% on post-training assessments regarding the new security features and compliance practices.

Virtual Care Assistant

An AI-driven companion that assists patients during virtual visits by providing guidance on how to prepare for consultations, reminding them of necessary documents, and facilitating smoother interactions with healthcare providers. This feature enhances patient satisfaction and ensures they are well prepared for their appointments.

Requirements

Appointment Preparation Guidance

User Story: As a patient, I want detailed preparation guidance for my virtual appointment so that I can ensure I have all necessary documents and questions ready, making my visit more productive.
Description: This requirement focuses on providing users with comprehensive guidelines on how to prepare for their virtual consultations. It includes checklists, information about required documents, and tips for maximizing their appointment effectiveness. By ensuring patients receive clear instructions, the virtual care assistant significantly reduces confusion and enhances satisfaction, leading to more productive consultations with healthcare providers. This feature will seamlessly integrate with patient profiles within the CuraDesk system to personalize the guidance according to individual appointment types.
Acceptance Criteria: Virtual Care Assistant guides a patient through preparing for a telehealth consultation based on their scheduled appointment type.

Given the patient has an upcoming telehealth appointment, when they access the Virtual Care Assistant, then they should receive a personalized checklist of preparation steps relevant to their specific appointment type.

Patients receive reminders for required documents needed for their telehealth visit.

Given that a patient has been scheduled for a telehealth consultation, when the Virtual Care Assistant communicates with the patient, then it should provide a reminder list of necessary documents the patient needs to prepare before the visit.

Patients access tips on how to maximize their telehealth appointment satisfaction through the Virtual Care Assistant.

Given the patient is preparing for a telehealth appointment, when they interact with the Virtual Care Assistant, then they should be presented with specific tips aimed at enhancing their consultation experience.

The Virtual Care Assistant updates its guidance based on the patient’s profile and previous interactions.

Given a patient’s profile is available, when they interact with the Virtual Care Assistant, then it should deliver customized preparation guidance that considers their medical history and previous appointment feedback.

Patients can access guidance regarding technical setup for their telehealth appointment.

Given the appointment is a virtual one, when patients consult the Virtual Care Assistant, then they should receive detailed instructions on how to set up their device for the video call, including troubleshooting tips.

The Virtual Care Assistant ensures patients are well-informed about potential follow-up actions after the consultation.

Given the patient has completed a telehealth appointment, when they interact with the Virtual Care Assistant, then it should provide a summary of key takeaways and potential next steps recommended by the healthcare provider.

Document Reminder Notifications

User Story: As a patient, I want reminders about the documents I need for my virtual appointment so that I don't forget to bring anything important, ensuring a smooth consultation.
Description: This requirement entails implementing a notification system that reminds patients of the documents they need to prepare before their virtual visit. These reminders will be sent via push notifications or emails, tailored to the type of appointment and individual patient needs. This feature is crucial for reducing last-minute issues and ensuring that patients arrive prepared, thereby improving the efficiency and effectiveness of consultations. It will connect with the appointment scheduling system to trigger reminders at optimal times leading up to the appointment.
Acceptance Criteria: Patient receives a document reminder notification 24 hours before their scheduled virtual appointment.

Given a patient has an upcoming virtual appointment, when the appointment is scheduled, then the patient receives a push notification reminding them of the required documents 24 hours before the appointment.

Patient can customize notification preferences for document reminders in their profile settings.

Given a patient is logged into their account, when they access notification settings, then they can enable or disable document reminder notifications via push or email.

Patient receives document reminder notifications tailored to their specific type of appointment.

Given a patient has a specific type of appointment (e.g., consultation or follow-up), when the notification is triggered, then the patient receives a document reminder relevant to that appointment type.

All patients scheduled for an appointment receive reminders without experiencing technical failures.

Given a patient has a scheduled appointment, when the reminder notifications are sent, then 100% of the patients receive their respective notifications without any errors.

Patients are able to view the documents needed for their upcoming appointment directly through the notification.

Given a patient receives a document reminder notification, when they click on it, then they should be redirected to a list of required documents for their appointment.

Patients can provide feedback on the usefulness of document reminder notifications after their appointment.

Given a patient has completed their virtual appointment, when they access the feedback section, then they should be able to rate the usefulness of the document reminders on a scale from 1 to 5.

The notification system integrates seamlessly with the appointment scheduling system to trigger reminders automatically.

Given a patient has an appointment scheduled, when the appointment date approaches, then the notification system should automatically send reminders without manual intervention.

Real-time Interaction Facilitation

User Story: As a patient, I want to communicate easily with my healthcare provider during my virtual visit so that I can ask questions and get clarification in real-time, making the appointment more valuable.
Description: This requirement involves creating features that facilitate real-time interaction between patients and healthcare providers during virtual visits. This includes text, audio, and video capabilities, as well as a simple communication interface designed to enhance clarity and engagement. By enabling direct communication, the feature will help patients feel more connected and ensure that their inquiries are promptly addressed during the visit, significantly enhancing the overall patient experience with the CuraDesk platform.
Acceptance Criteria: Real-time communication during virtual visits when a patient initiates a consultation with a healthcare provider using the Virtual Care Assistant feature.

Given a patient is logged into the CuraDesk platform, when they initiate a virtual visit, then they should be able to communicate with their healthcare provider in real-time through text, audio, and video options without any noticeable delay.

Patient preparation for virtual visits with guidance from the Virtual Care Assistant feature.

Given a patient has an upcoming virtual appointment, when they access the Virtual Care Assistant, then they should receive reminders about necessary documents to prepare and information on how to best prepare for the consultation at least 24 hours in advance.

Engagement metrics assessment during a virtual visit facilitated by the Virtual Care Assistant.

Given a virtual visit is in progress, when the interaction between the patient and healthcare provider occurs, then the system should record and analyze engagement metrics such as response time and interaction frequency, returning a summary report post-visit with a satisfaction score of at least 80% for users surveyed after the appointment.

Testing the accessibility features of the real-time communication interface for patients with disabilities.

Given a patient with disabilities accesses the Virtual Care Assistant, when they utilize the communication features, then the interface should provide alternative communication options (like text-to-speech and speech-to-text) that allow at least 90% of functionalities available to other users.

User feedback collection regarding the effectiveness of the real-time interaction features after a virtual appointment.

Given a patient completes their virtual appointment, when they are prompted for feedback on the real-time interaction features, then the system should collect and store user feedback with a minimum response rate of 30% for analysis, leading to actionable insights for feature improvements.

Seamless integration of the communication interface with existing hospital record systems during appointments.

Given a healthcare provider is conducting a virtual visit, when they access the communication interface, then they should be able to pull relevant patient records without navigating away from the interface, and the system should log the interaction in the patient's record in real-time for accuracy.

Patient Feedback Collection

User Story: As a patient, I want to provide feedback after my virtual appointment so that I can share my experience and help improve the service for others.
Description: This requirement outlines the implementation of a module for collecting patient feedback regarding their virtual visit experience. After each consultation, patients will have the opportunity to rate their experience and provide comments. This data will be crucial for continuous improvement of the virtual care assistant feature and for overall service enhancement. The feedback mechanism will be integrated with analytics tools to track trends and improve patient care protocols, ensuring that the needs of the patients are continuously met.
Acceptance Criteria: Patient completes a virtual visit and is prompted to give feedback immediately after the consultation ends.

Given the patient has completed their virtual consultation, when they are prompted for feedback, then they should see a rating scale from 1 to 5 and a comment box.

Patient submits feedback after a virtual visit and the system records it in the database.

Given the patient has provided a rating and comment, when they click 'Submit', then their feedback should be successfully stored in the feedback database with a timestamp.

Healthcare administrators access the feedback data through the analytics dashboard to assess patient satisfaction.

Given that patient feedback has been collected, when the administrator logs into the analytics dashboard, then they should see visual representations of the feedback data, including average ratings and common comments, updated in real time.

Patients receive a confirmation message after submitting their feedback.

Given the patient has submitted their feedback, when they submit the form, then they should receive a confirmation message stating 'Thank you for your feedback!', and the message should remain visible for at least 5 seconds.

Patients are able to edit their feedback within a specified time limit after submission.

Given a patient has submitted their feedback, when they try to edit their feedback within 15 minutes of submission, then they should be able to access an edit option that allows changes to their rating and comments.

Feedback analytics are filtered by date range for reporting.

Given that feedback data exists, when the administrator wishes to analyze feedback for a specific date range, then they should be able to select start and end dates, and the dashboard should reflect feedback specific to that range.

The system generates reports on patient feedback trends over time.

Given that feedback has been collected over time, when the administrator selects 'Generate Report', then the system should produce a report that illustrates trends in patient satisfaction over the selected reporting period.

AI-driven Personalization

User Story: As a patient, I want my virtual care assistant to provide personalized advice and reminders based on my history and needs so that my experience is more tailored and relevant to me.
Description: This requirement involves developing an AI algorithm that personalizes the virtual assistant's responses and recommendations based on individual patient data and previous interactions. By utilizing advanced analytics, the assistant can tailor guidelines, reminders, and support, creating a more relevant and impactful patient experience. This level of personalization will not only enhance user satisfaction but also proactively address patient needs by suggesting adjustments or additional resources ahead of appointments.
Acceptance Criteria: Patient prepares for a virtual consultation with a healthcare provider using the Virtual Care Assistant.

Given a patient logs into the CuraDesk platform, when they request assistance from the Virtual Care Assistant, then the assistant should provide personalized guidelines on how to prepare for their consultation based on previous interactions and health records.

Patient receives reminders about necessary documents and preparation steps before an upcoming virtual appointment.

Given a scheduled virtual appointment, when the appointment is one day away, then the Virtual Care Assistant should automatically send a reminder to the patient that includes a checklist of necessary documents and preparations tailored to their specific needs.

Patient interacts with the Virtual Care Assistant to ask a specific question about their upcoming consultation.

Given a patient asks the Virtual Care Assistant a question related to their upcoming consultation, when the assistant processes the request, then it should respond with a personalized answer that leverages the patient’s data and previous interactions.

Healthcare provider accesses insights generated by the Virtual Care Assistant regarding the patient before the consultation.

Given a healthcare provider initiates a virtual consultation, when they access the patient's profile, then the assistant should display personalized insights and recommendations based on the patient's previous interactions and current health status.

The Virtual Care Assistant offers proactive suggestions to patients based on their health history before their appointment.

Given a patient’s health history is analyzed by the Virtual Care Assistant, when a specific health condition is identified, then it should provide recommendations for additional resources or adjustments to their care plan ahead of the appointment.

Dynamic Health Monitoring

A feature that allows medical staff to monitor patients' vital signs and health metrics in real-time during telehealth consultations. By integrating wearable technology, healthcare providers can gain insights into patients’ conditions and make informed decisions, leading to timely interventions and personalized care.

Requirements

Real-time Vital Sign Monitoring

User Story: As a healthcare provider, I want to monitor my patients' vital signs in real-time during telehealth appointments so that I can make informed decisions and intervene promptly if their condition deteriorates.
Description: This requirement involves the capability to continuously monitor and display patients' vital signs (such as heart rate, temperature, and oxygen saturation) during telehealth consultations. The data must be collected from integrated wearable devices and presented in a user-friendly dashboard for healthcare providers. This feature is crucial as it enables providers to receive real-time insights into patients' health status, facilitating immediate responses to any concerning changes and ultimately improving patient outcomes. Its integration within the CuraDesk platform will enhance the decision-making process for healthcare professionals and streamline patient management during remote consultations.
Acceptance Criteria: Medical staff initiates a telehealth consultation with a patient using the CuraDesk platform, where they expect to receive real-time monitoring of the patient's vital signs via wearable devices.

Given a telehealth consultation is in progress, when the wearable device streams vital sign data, then the healthcare provider should see live updates of heart rate, temperature, and oxygen saturation within 2 seconds on their dashboard.

A healthcare provider needs to assess a patient's vital signs during a telehealth consultation to make informed decisions regarding their treatment plan.

Given the real-time vital sign monitoring is active, when any vital sign data exceeds predefined thresholds (e.g., heart rate > 120 bpm), then an alert should be generated and visibly displayed on the dashboard to notify the healthcare provider instantly.

A healthcare provider wants to review historical vital sign data alongside real-time metrics during a telehealth consultation for comprehensive assessment.

Given a telehealth consultation is ongoing, when the healthcare provider requests to view historical vital signs, then the system should present data from the last 7 days in a graph format alongside the real-time metrics.

Medical staff needs to ensure that the wearable technology is functioning correctly before starting a telehealth consultation with a patient.

Given the telehealth consultation is about to begin, when the healthcare provider checks the status of the connected wearable devices, then a confirmation message indicating operational status (connected, streaming data) should be visible within 3 seconds.

During a telehealth consultation, a healthcare provider encounters connectivity issues with the wearable device and requires guidance on how to troubleshoot.

Given the wearable device is disconnected during a consultation, when the healthcare provider accesses the help interface, then troubleshooting steps should be provided clearly and should include at least three possible solutions to resolve common connectivity issues.

Once a telehealth consultation is complete, the healthcare provider wants to ensure that all collected vital sign data is saved for future reference.

Given the consultation has ended, when the healthcare provider navigates to the patient’s health records, then all vital sign data from the session should be archived and easily accessible for future review.

Wearable Device Integration

User Story: As a patient, I want my wearable devices to sync with CuraDesk during telehealth consultations so that my healthcare provider can access my complete health data, which aids in my treatment plan.
Description: This requirement necessitates the seamless integration of various wearable health technology devices, such as smartwatches and fitness trackers, with the CuraDesk platform. The goal is to allow these devices to transmit health metrics (like heart rate, activity level, and sleep patterns) directly to the healthcare application in real-time. By ensuring compatibility with multiple devices, this feature will provide a more personalized health monitoring experience for patients and grant healthcare providers comprehensive data to support their telehealth services. Successful implementation will lead to increased patient engagement and more accurate health assessments.
Acceptance Criteria: Integration of Wearable Devices During Telehealth Consultations

Given a patient is connected to a smartwatch during a telehealth consultation, When the patient’s heart rate exceeds 100 bpm, Then an alert should be triggered in the CuraDesk platform for the healthcare provider.

Real-Time Data Transmission from Wearable Devices

Given a wearable device is paired with a patient's profile, When the patient moves more than 50 steps, Then the activity level should be updated in the CuraDesk platform within 10 seconds.

Multi-Device Compatibility Check

Given multiple types of wearable devices have been integrated, When a healthcare provider views a patient’s device status, Then all devices should display a connected status without errors.

Visual Representation of Health Metrics

Given a patient’s vital signs are being monitored in real-time, When a healthcare provider accesses the health metrics dashboard, Then all relevant data (heart rate, activity level, sleep patterns) should be visually represented and updated every 5 seconds.

Patient Engagement through Wearable Metrics Sharing

Given a patient has consented to share their wearable data, When they engage in a virtual visit, Then the healthcare provider should receive an overview of the patient’s health metrics on the CuraDesk platform.

Alerts for Abnormal Health Metrics

Given the integration of wearable devices is active, When any vital sign goes beyond the predefined threshold limits, Then an immediate notification should be sent to the healthcare provider's dashboard.

User Training for Healthcare Providers

Given the implementation of wearable device integration, When new healthcare staff are onboarded, Then they should receive training materials that cover how to access and interpret data from wearable devices within the CuraDesk platform.

Alerts and Notifications System

User Story: As a healthcare provider, I want to receive instant alerts when my patients' vital signs indicate a potential risk so that I can take immediate action to ensure their safety during telehealth appointments.
Description: This requirement outlines the need for a robust alerts and notifications system that triggers alerts based on predefined thresholds or changes in patients' vital signs monitored in real-time. When a vital sign exceeds a set limit or indicates a potential health risk, a notification should be sent to the healthcare provider immediately. This feature plays a vital role in ensuring timely intervention, enabling healthcare providers to respond instantly to emergencies and significantly enhance patient safety during telehealth sessions. Integration with the main CuraDesk application will ensure that critical alerts are flagged appropriately for immediate attention.
Acceptance Criteria: Triggering alerts based on abnormal vital signs during a telehealth consultation.

Given a patient is monitored in real-time during a telehealth session, When a vital sign exceeds the predefined threshold, Then the system shall send an immediate alert notification to the assigned healthcare provider.

Customizing threshold settings for different health metrics per patient.

Given a healthcare provider accesses the alerts and notifications system, When the provider adjusts the threshold settings for a specific patient's vital signs, Then the new thresholds shall be saved and applied to all future monitoring sessions for that patient.

Receiving and responding to notifications during a busy telehealth consultation.

Given a healthcare provider is in the middle of a telehealth consultation, When an alert notification is triggered, Then the provider shall receive a visual and audible alert that does not disrupt the consultation flow.

Tracking alert history for patient monitoring.

Given a healthcare provider wants to review past alerts, When the provider accesses the alerts history feature, Then the system shall display a comprehensive list of all previous alerts triggered for the selected patient, along with timestamps and vital sign data.

Integrating the alerts system with the main CuraDesk application.

Given the alerts and notifications system is in use, When an alert is triggered, Then the alert shall be logged and flagged accordingly within the main CuraDesk dashboard for immediate attention.

Configuring different notification methods based on user preferences.

Given a healthcare provider is setting their account preferences, When the provider selects their preferred notification methods (e.g., email, SMS, or in-app alert), Then the system shall send alerts according to the selected preferences without failure.

Patient Health Data Dashboard

User Story: As a healthcare provider, I want a consolidated dashboard that displays all my patients' health metrics from telehealth consultations so that I can easily track their progress and make better clinical decisions.
Description: The Patient Health Data Dashboard requirement involves creating a comprehensive dashboard that aggregates all relevant health data from telehealth consultations and wearable devices into a single view. This dashboard should display key health metrics, historical data, and analytical insights, allowing healthcare providers to track patients' health over time easily. This feature will enhance the understanding of a patient’s overall health trajectory and enable more informed clinical decisions, making it essential for effective telehealth management. The dashboard’s design must prioritize usability and clarity, ensuring that providers can quickly interpret the information presented.
Acceptance Criteria: Real-time health monitoring during telehealth consultations

Given that a healthcare provider is conducting a telehealth consultation, when they access the Patient Health Data Dashboard, then they should see real-time vital signs and health metrics for the patient currently being consulted, updated every 5 seconds.

Accessibility of historical health data

Given that a healthcare provider is on the Patient Health Data Dashboard, when they select a specific patient, then they should be able to view historical health data for at least the past 12 months, including key health metrics and trends.

User-friendly dashboard interface

Given that a healthcare provider is using the Patient Health Data Dashboard, when they interact with any chart or data visualization, then they should be able to easily interpret the information with minimal training, achieving a usability score of 80% or higher in user testing.

Alerts for critical changes in patient health metrics

Given that a healthcare provider is monitoring a patient's health data on the dashboard, when any key health metric exceeds predefined critical thresholds, then an alert should be generated and displayed prominently on the screen within 2 seconds.

Integration with wearable devices

Given that a patient is using a compatible wearable device, when the Patient Health Data Dashboard is accessed by the healthcare provider, then all data from the wearable should be accurately displayed in real-time without any discrepancies.

Data security and privacy compliance

Given that healthcare data is sensitive, when the Patient Health Data Dashboard is used, then it should comply with all relevant data protection regulations (e.g., HIPAA) ensuring that patient data is securely accessed and stored without unauthorized breaches.

Customizable views for healthcare providers

Given that a healthcare provider is using the Patient Health Data Dashboard, when they customize their dashboard view, then they should be able to select and arrange the displayed metrics according to their preferences and needs, saving those preferences for future sessions.

Privacy and Security Compliance

User Story: As a patient, I want to be assured that my health data shared through telehealth sessions is secure and protected so that I can provide my information with confidence to my healthcare provider.
Description: This requirement focuses on ensuring that all data collected from wearables and telehealth consultations adhere to regulatory standards for patient privacy and data security, including HIPAA compliance. The development will include safeguards such as encryption, secure data transmission, and access controls to protect sensitive patient information. This is crucial as it not only builds trust between patients and healthcare providers but also mitigates legal risks associated with data breaches. Integration of these security measures into the CuraDesk platform will enhance its credibility and user acceptance in the healthcare market.
Acceptance Criteria: Access Control for Wearable Data in Telehealth Consultations

Given a healthcare provider accessing patient data from wearables during a telehealth session, When the provider attempts to view sensitive health metrics, Then the system should prompt for secure authentication and only allow access if the credentials are verified as valid and compliant with access control policies.

Data Encryption during Transmission

Given that patient data is being transmitted from wearable devices to the CuraDesk platform, When the data is sent over the network, Then the data should be encrypted using industry-standard encryption protocols to ensure confidentiality during transmission.

Regulatory Compliance Audit Trail

Given that health data is collected and processed by CuraDesk, When an audit is performed, Then the system should provide a comprehensive log of all data access, modifications, and transfers to ensure compliance with HIPAA regulations.

Secure Data Storage for Patient Information

Given that sensitive patient information is stored within the CuraDesk platform, When the data is saved, Then it should be stored in a secured database with encryption at rest and restricted access to authorized personnel only.

User Consent for Data Collection

Given that a patient agrees to participate in telehealth services, When the healthcare provider initiates a consultation, Then the patient should be presented with clear consent forms detailing data collection practices and privacy policies, with options to accept or decline.

Incident Response for Data Breaches

Given that a data breach is detected within the CuraDesk platform, When the breach occurs, Then an incident response protocol should be initiated promptly, notifying affected patients and relevant authorities in accordance with HIPAA requirements.

Analytics for Patient Insights

User Story: As a healthcare provider, I want to access analytics on my patients' vital signs data to identify trends and improve their treatment plans based on evidence and insights.
Description: This requirement involves the development of analytical tools that provide healthcare providers with insights based on collected data from patients' vital signs and health metrics. The analytics module should be capable of identifying trends, generating reports, and offering predictive insights that can help in patient care and outcomes improvement. By leveraging advanced analytics, healthcare providers can make more data-driven decisions and tailor treatment plans to individual patients' needs. This feature is key to enhancing the overall effectiveness of telehealth services and improving healthcare delivery.
Acceptance Criteria: Analytics for Patient Insights during Telehealth Consultations

Given a patient is monitoring their vital signs using wearable technology during a telehealth consultation, when the healthcare provider accesses the analytics module, then the provider should be able to view real-time data visualizations of the patient's health metrics.

Trends Identification for Chronic Condition Management

Given collected data from a patient with chronic conditions, when the healthcare provider uses the analytics module, then the system should automatically generate a report identifying at least three significant health trends over the past month.

Predictive Insights for Emergency Interventions

Given real-time vital sign metrics are being monitored during a telehealth session, when certain thresholds are met (e.g., abnormal heart rate), then the system should alert the healthcare provider with a predictive analysis of potential risks.

Report Generation for Care Plans

Given a healthcare provider needs to tailor a patient's treatment plan, when they use the analytics module to generate a patient report, then the report should include personalized insights and recommendations based on tracked health metrics.

User-Friendly Interface for Data Interpretation

Given that a healthcare provider is using the analytics module, when they interact with the data visualizations and reports, then the navigation should be intuitive and allow the provider to easily interpret patient insights with minimal training.

Integration with Existing Patient Management Systems

Given the analytics module is implemented, when a healthcare provider pulls patient data from the existing hospital management system, then the data should seamlessly integrate without loss of information and be readily usable in the analytics module.

Patient Consent and Data Privacy Compliance

Given the need to comply with healthcare data protection regulations, when the analytics module collects patient data, then there should be functionality to obtain and document explicit patient consent for data usage and analytics.

Integrated Prescription Management

This feature streamlines the process of prescribing medications during virtual consultations, allowing healthcare professionals to send prescriptions directly to pharmacies electronically. This ensures accuracy, reduces paperwork, and enhances the speed at which patients can obtain necessary medications.

Requirements

Electronic Prescription Submission

User Story: As a healthcare provider, I want to electronically submit prescriptions to pharmacies so that I can reduce paperwork and expedite the medication dispensing process for my patients.
Description: This requirement enables healthcare providers to send prescriptions electronically to designated pharmacies directly from the CuraDesk platform. This feature will facilitate real-time communication between providers and pharmacies, ensuring prescriptions are accurate and reducing the time spent handling paper prescriptions. By integrating this feature into CuraDesk, we can streamline the medication dispensing process, enhance patient safety, and improve overall operational efficiency. The implementation will require linking with pharmacy databases and ensuring secure data transmission to comply with HIPAA regulations.
Acceptance Criteria: Submitting an electronic prescription during a virtual consultation session.

Given a healthcare provider is logged into the CuraDesk platform, when they select a patient and enter prescription details, then the prescription should be sent electronically to the designated pharmacy without errors.

Verifying the accuracy of prescriptions sent to pharmacies.

Given a prescription has been submitted to a pharmacy, when the pharmacy receives the prescription, then it should display the correct medication details as entered by the healthcare provider.

Ensuring compliance with HIPAA regulations during the transmission of prescriptions.

Given a prescription submission occurs, when the data is transmitted to the pharmacy, then the transmission must be encrypted and comply with HIPAA data privacy and security standards.

Receiving confirmation from pharmacies about the prescription receipt.

Given a prescription has been submitted, when the pharmacy processes the prescription, then a confirmation receipt must be sent back to the CuraDesk platform indicating successful receipt.

Allowing healthcare providers to view prescription history for patients.

Given a healthcare provider is reviewing a patient’s profile, when they access the prescription history, then they must see all previously submitted prescriptions within a specified time frame.

Error handling when a prescription fails to send.

Given a healthcare provider attempts to submit a prescription, when there is an error in transmission (e.g., invalid pharmacy ID), then the system must provide an error message and options for correction.

Integrating pharmacy database updates for accurate prescription delivery.

Given the pharmacy database is updated, when a healthcare provider searches for a specific pharmacy, then the provider must see the most current contact information and capabilities for that pharmacy.

Prescription History Tracking

User Story: As a healthcare provider, I want to access a patient's prescription history so that I can make informed decisions about their ongoing treatment and avoid potential medication interactions.
Description: This requirement involves creating a system for tracking and recording the history of all prescriptions issued through the CuraDesk platform. This feature will provide healthcare providers and administrators visibility into past prescriptions, allowing them to monitor adherence and assess any medication interactions or side effects. The inclusion of this functionality is crucial for enhancing patient care and ensuring compliance with treatment plans. Proper implementation will require a robust database system to store prescription histories and enable secure access for authorized personnel.
Acceptance Criteria: Accessing Prescription History for a Patient

Given a healthcare provider has logged into the CuraDesk platform, when they search for a patient by name or ID, then they can view the complete prescription history for that patient, including medication name, dosage, prescribing date, and prescribing physician.

Adding a New Prescription to History

Given that a healthcare provider has issued a new prescription during a consultation, when they submit the prescription, then the prescription is automatically saved to the patient's prescription history and is accessible for future reference.

Viewing Prescription History for Drug Interactions

Given a healthcare provider is viewing a patient's prescription history, when they select a medication from the list, then they are shown any warnings or drug interactions related to that medication based on the patient's current and past prescriptions.

Auditing Prescription History Access

Given that an authorized administrator wants to review access logs, when they generate a report of prescription history access, then the report displays who accessed the records, at what time, and what records were viewed.

Secure Access Control for Prescription Data

Given a healthcare provider is trying to access patient prescription histories, when they are not logged in or lack the necessary permissions, then they are denied access and presented with a message explaining the need for authorization.

Exporting Prescription History for Patient Record Keeping

Given that a healthcare provider wants to share a patient's prescription history with another medical professional, when they select the export option, then the system generates a downloadable report that includes all relevant prescription history in a secure format.

Updating Existing Prescription Records

Given the healthcare provider identifies an error in a previously issued prescription, when they update the prescription record in the system, then the changes are reflected in the patient's prescription history and a log of changes is maintained for audit purposes.

Pharmacy Integration Interface

User Story: As a healthcare provider, I want to have real-time access to pharmacy information so that I can ensure prescriptions are processed smoothly and patients receive their medications promptly.
Description: This requirement establishes a seamless interface that integrates CuraDesk with pharmacy management systems, allowing for automatic updates on prescription statuses, refills, and medication availability. This integration is essential for ensuring that healthcare providers receive up-to-date information when prescribing medications, thereby enhancing the efficiency of the prescription process. Implementation will involve collaboration with pharmacy software vendors to create standardized protocols for data exchange and communication channels.
Acceptance Criteria: Pharmacy Integration Interface for Prescription Status Updates

Given a healthcare provider has prescribed a medication through CuraDesk, when the prescription is sent to the pharmacy system, then the prescription status should be automatically updated in the CuraDesk platform within 5 minutes.

Pharmacy Integration Interface for Prescription Refills

Given a patient has an ongoing prescription set for refills, when a refill request is submitted through the CuraDesk system, then the pharmacy management system should receive the refill request and confirm it in CuraDesk within 10 minutes.

Pharmacy Integration Interface for Medication Availability Checks

Given a healthcare provider is in the process of prescribing a medication, when the provider queries medication availability through the CuraDesk interface, then the system should return current availability status from pharmacy management systems in real time.

Pharmacy Integration Interface for Error Handling in Prescriptions

Given a healthcare provider sends a prescription to the pharmacy that encounters an issue, when the prescription fails to process, then the system should notify the healthcare provider of the failure and provide a reason within 3 minutes.

Pharmacy Integration Interface for User Access and Permissions

Given different roles within the CuraDesk system, when a user attempts to access prescription integration features, then the system should allow or restrict access based on predefined user roles and permissions.

Pharmacy Integration Interface for Audit Trail Capabilities

Given a prescription has been processed through the pharmacy integration, when an audit is conducted, then the system should provide a complete log of all prescription transactions including timestamps, users involved, and status changes.

Pharmacy Integration Interface for Notification Alerts to Patients

Given a prescription is sent to the pharmacy, when the status of the prescription changes, then the CuraDesk system should automatically send a notification alert to the patient via their preferred communication method.

Patient Notification System

User Story: As a patient, I want to receive notifications when my prescriptions are ready, so that I can pick them up promptly and manage my medication schedules effectively.
Description: This requirement entails developing a notification system that alerts patients via SMS or email when their prescriptions have been sent to the pharmacy and are ready for pick-up. This functionality is imperative for enhancing patient engagement in their care process and improving adherence to medication regimens. The implementation will require setting up communication channels and user consent mechanisms aligned with privacy regulations.
Acceptance Criteria: Patient receives an SMS notification upon the successful transmission of their prescription to the pharmacy.

Given a patient has a valid phone number registered, When the prescription is sent to the pharmacy, Then the patient should receive an SMS notification confirming that their prescription is ready for pick-up.

Patient receives an email notification with details of their prescription and pharmacy information.

Given a patient has a valid email address registered, When the prescription is sent to the pharmacy, Then the patient should receive an email notification containing the prescription details and the pharmacy’s contact information.

Patients can opt-in or opt-out of notification preferences through their profile settings.

Given a patient accesses their profile settings, When they choose to update their notification preferences, Then the system should allow them to opt-in or opt-out of SMS and email notifications for prescriptions without issues.

Notification system complies with privacy regulations regarding patient data.

Given the notification system is implemented, When a patient registers for notifications, Then their consent is logged, and the system preserves their data in compliance with applicable privacy regulations (e.g., HIPAA).

The system logs the notifications sent to patients for record-keeping and auditing purposes.

Given the notification system is operational, When a notification is sent to a patient, Then the system should log the notification details (e.g., date, time, type of notification) for auditing purposes.

Patients receive notifications in real-time with minimal delays after the prescription is sent.

Given a prescription is submitted to the pharmacy, When the notification system processes the request, Then the patient should receive the notification within 5 minutes of the submission.

The system offers multilingual notifications for patients who prefer communication in languages other than English.

Given a patient selects a language preference in their profile settings, When a prescription is sent to the pharmacy, Then the patient should receive notifications in their selected language.

Medication Instructions Module

User Story: As a healthcare provider, I want to include detailed instructions with prescriptions so that my patients understand how to use their prescribed medications safely and effectively.
Description: This requirement focuses on providing healthcare providers with the ability to include detailed medication instructions alongside electronic prescriptions, ensuring patients understand how to take their medications correctly. This feature will enhance patient safety by minimizing misunderstandings regarding dosage and scheduling. Implementation will require designing a user-friendly interface for providers to input instructions and possibly adding templates for common medications.
Acceptance Criteria: Healthcare provider enters medication instructions for a newly prescribed medication during a virtual consultation with a patient.

Given the provider is in the prescription management interface, when they enter detailed medication instructions and submit the prescription, then the instructions should be saved and transmitted along with the electronic prescription to the designated pharmacy.

Patient receives an electronic prescription with medication instructions after a virtual consultation.

Given that the provider has sent an electronic prescription including medication instructions, when the patient checks their mobile app or email notifications, then they should see the full prescription details including the clear medication instructions.

Healthcare provider uses a template to enter medication instructions for commonly prescribed medications.

Given the provider is in the medication instructions module, when they select a template for a common medication, then the template should auto-populate with standard instructions, which the provider can edit before submission.

Admin reviews user feedback on clarity and effectiveness of medication instructions provided to patients.

Given that user feedback has been collected, when the admin analyzes the feedback, then at least 80% of patients should indicate that the instructions received were clear and understandable.

Healthcare provider attempts to submit a prescription without entering medication instructions.

Given the provider is in the prescription management interface, when they try to submit a prescription without entering any medication instructions, then an error message should appear prompting them to provide the instructions before proceeding.

Pharmacy receives an electronic prescription with medication instructions and verifies it.

Given that the pharmacy has received the electronic prescription, when they access the prescription details, then they should be able to view both the prescribed medication and the detailed administration instructions provided by the healthcare provider.

Patient reviews medication instructions and reminders for adherence post-consultation.

Given that the patient has received their medication instructions through the app, when they open the app, then they should also see reminders along with the instructions to help them adhere to the medication schedule.

Feedback Mechanism for Prescription Errors

User Story: As a pharmacy staff member, I want to report prescription errors so that we can address issues quickly and improve our processes for the future.
Description: This requirement involves implementing a feedback system that allows pharmacies and patients to report any prescription errors or issues encountered. This feature is vital for continuous improvement and for enhancing the reliability of the prescription management process. Feedback must be captured efficiently and analyzed to prevent future errors. Implementation will require building a user-friendly interface for reporting and creating analytical capabilities to monitor feedback trends.
Acceptance Criteria: Pharmacy staff encounters a prescription error and uses the feedback mechanism to report the issue through the CuraDesk platform during their shift.

Given a pharmacy staff member is logged into the CuraDesk platform, when they access the feedback mechanism, then they should be able to submit a prescription error report including details such as the patient's name, prescription number, and description of the error.

A patient realizes that their prescription contains incorrect dosage information after receiving it from the pharmacy and wants to report it via the CuraDesk feedback mechanism.

Given a patient is using the CuraDesk mobile application, when they navigate to the feedback section, then they should be able to report a prescription issue by filling out a simple form that includes the prescription details, their contact information, and an optional comments section.

Healthcare administrators review feedback collected from pharmacies and patients to identify trends in prescription errors for quality improvement.

Given that feedback has been reported through the CuraDesk platform, when a healthcare administrator accesses the analytics dashboard, then they should see a summarized report depicting the number of errors reported, types of errors, and trends over the past month.

Both pharmacies and patients receive confirmation after submitting a prescription error feedback report.

Given a user has submitted a feedback report, when the submission is completed, then they should receive an immediate acknowledgment notification on the platform confirming that their report has been received successfully.

The system provides users with easy access to FAQs or guidelines on how to report prescription errors through the feedback mechanism.

Given a user is on the feedback submission page, when they look for guidance, then they should find a clearly visible link or section containing FAQs or instructions on how to report prescription errors.

The feedback mechanism must ensure that all submitted reports are securely stored and can only be accessed by authorized personnel.

Given that a prescription feedback report has been submitted, when an authorized user attempts to access the feedback database, then they should be able to view the report while ensuring that unauthorized access is denied.

The feedback system allows pharmacies to receive automated alerts for urgent issues related to prescription errors that need immediate attention.

Given that an urgent prescription error report has been submitted, when the system processes the report, then it should trigger an automated alert to the connected pharmacy indicating the nature of the urgency and required actions.

Patient Education Hub

A centralized repository of educational materials tailored to specific conditions and treatment plans that patients can access before and after their telehealth visits. This feature empowers patients with knowledge, improving their understanding of health issues, and enhancing treatment adherence.

Requirements

Comprehensive Resource Library

User Story: As a patient, I want to access educational materials relevant to my condition before and after my telehealth visit, so that I can better understand my health issues and treatment options.
Description: The Patient Education Hub must offer a comprehensive library of educational materials that are organized by health conditions and treatment plans. This library will include videos, articles, infographics, and interactive content, ensuring a broad range of multimedia educational tools. The goal is to empower patients with information pre- and post-telehealth visits, fostering informed discussions with healthcare providers, enhancing understanding, and improving treatment adherence.
Acceptance Criteria: Accessing Educational Materials for a Specific Health Condition

Given a patient is logged into the Patient Education Hub, When the patient selects a specific health condition from the library, Then the system should display all related educational materials including videos, articles, infographics, and interactive content.

Using Multimedia Content

Given a patient is viewing educational materials in the Patient Education Hub, When the patient interacts with a video or infographic, Then the content should properly load and be fully functional without errors.

Finding Content by Treatment Plan

Given a healthcare provider is assisting a patient, When the provider searches for educational materials based on a specific treatment plan, Then the Patient Education Hub should return relevant resources organized clearly by treatment type.

Bookmarking Relevant Materials

Given a patient is exploring the resource library, When the patient bookmarks specific educational materials, Then those materials should be saved in their profile for easy access later.

Providing Feedback on Educational Materials

Given a patient has completed viewing an educational resource, When they are prompted to provide feedback, Then the feedback submission should be successfully recorded and stored in the system.

Multilingual Support for Educational Materials

Given a patient prefers to engage in a specific language, When the patient selects that language in the Patient Education Hub, Then all educational materials should be displayed in the selected language without loss of content quality.

Tracking Patient Engagement with Resources

Given a healthcare administrator wants to assess patient engagement, When they review the analytics dashboard, Then the system should provide data showing how many patients accessed each educational material and their feedback ratings.

Personalized Content Recommendations

User Story: As a patient, I want personalized educational content suggested to me based on my health condition, so that I can quickly find the most relevant information and understand my treatment better.
Description: The Patient Education Hub should include a system that evaluates individual patient needs and preferences to deliver personalized content recommendations. By analyzing patient data, including their medical history and visit purpose, the system will suggest the most relevant educational materials. This tailored approach can enhance the patient experience and ensure that they receive the most pertinent information for their specific health concerns.
Acceptance Criteria: Patient accesses the Patient Education Hub after a telehealth visit and receives personalized recommendations based on their medical history and the consultations conducted during the visit.

Given a patient has completed a telehealth visit, when they access the Patient Education Hub, then the system should display personalized educational materials relevant to their visit purpose and medical history.

A patient updates their health profile in the system, and the Patient Education Hub reflects these changes by adjusting the recommended educational materials accordingly.

Given a patient updates their health profile, when they access the Patient Education Hub, then the system should provide new personalized content recommendations that reflect their updated health conditions.

Healthcare administrators want to evaluate the effectiveness of personalized content recommendations in improving patient knowledge and engagement post-telehealth visit.

Given a report is generated for recent patients post-telehealth visit, when the report is analyzed, then it should show an increase in patient engagement metrics and knowledge assessments related to the recommended educational materials.

A patient logs into the Patient Education Hub for the first time and is prompted to fill out a questionnaire that will help tailor content recommendations.

Given a patient is registering in the system, when they complete the onboarding questionnaire, then the Patient Education Hub should generate customized content recommendations based on the responses received from the questionnaire.

Patients with similar conditions should receive similar personalized content recommendations to ensure consistency in education provided.

Given multiple patients with the same medical condition, when they access the Patient Education Hub, then they should receive similar educational recommendations tailored to their specific conditions.

The system should track which personalized educational materials have been accessed by patients to enable future enhancements of content recommendations.

Given a patient accesses specific educational materials, when the activity is logged, then the system should update the patient’s profile to reflect the materials they have viewed for future recommendation improvements.

User Feedback Mechanism

User Story: As a patient, I want to provide feedback on the educational materials so that I can help improve future resources and influence the content available to other patients.
Description: The development of a user feedback mechanism will allow patients to rate and comment on educational materials. This feature will help gather insights into the effectiveness of the content, enabling continuous improvement. It could also guide healthcare providers in understanding what materials are most helpful for patients, leading to better resource allocation and enhanced educational offerings.
Acceptance Criteria: Patient Interaction with Feedback System for Educational Materials

Given a patient is logged into the Patient Education Hub, when they view an educational material, then they can see a rating system (1 to 5 stars) and comment section available underneath the material.

Submission of Feedback for Educational Materials

Given a patient rates the educational material and submits a comment, when they click on the 'Submit Feedback' button, then the feedback must be recorded successfully without errors and a confirmation message should appear.

Viewing Aggregated Feedback Data by Healthcare Providers

Given a healthcare provider accesses the feedback dashboard, when they search for specific educational materials, then they should see a summary of ratings and comments associated with those materials.

Feedback Notifications for Continuous Improvement

Given new feedback is submitted for an educational material, when the healthcare administrator checks the admin panel, then they should receive an automatic notification indicating new feedback available for review.

Analysis of Feedback Trends Over Time

Given a period of collected feedback data, when a healthcare provider requests a trend analysis report, then the system should generate a report showing changes in ratings over the selected time frame.

User Access Control for Feedback Submission

Given a patient is attempting to submit feedback, when they are not logged in, then they should be prompted to log in before they can submit their feedback.

Feedback Categorization for Resource Allocation

Given the feedback data collected, when the system analyzes comments, then it should categorize feedback into predefined categories (e.g., 'Helpful', 'Confusing', 'More Information Needed') for better resource allocation.

Integrated Progress Tracking

User Story: As a patient, I want to track the educational materials I have read and revisit those that I need to understand better, so that I can stay informed and proactive about my health.
Description: The Patient Education Hub needs to include integrated progress tracking functionality for patients. This feature will allow patients to mark resources as read, create a personal library of materials, and track their learning journey over time. It will help patients stay engaged with their education, allowing them to revisit complex topics and monitor how they are managing their health.
Acceptance Criteria: Patient Accessing Educational Materials Post-Telehealth Visit

Given a patient logs into the Patient Education Hub after a telehealth visit, when they navigate to their library of materials, then they should see all resources related to their diagnosis marked as 'unread' with the option to mark them as 'read'.

Patient Tracking Progress Over Time

Given a patient has marked resources as read in the Patient Education Hub, when they view their progress dashboard, then they should see a visual representation of their reading history and completion percentage for each material.

Patient Creating a Personal Library

Given a patient is in the Patient Education Hub, when they select resources to add to their personal library, then those resources should be saved and easily accessible in a dedicated 'My Library' section.

Patient Revisit of Complex Topics

Given a patient has previously marked an educational resource as read, when they access their library again, then the resource should retain their read status and allow them the option to revisit it anytime without losing their progress.

Patient Feedback on Educational Materials

Given a patient completes a resource in the Patient Education Hub, when they finish reading or watching the material, then they should be prompted to provide feedback on its usefulness and clarity of information.

Patient Engagement with Follow-up Materials

Given a patient has viewed educational materials related to their treatment plan, when they log back into the Patient Education Hub, then they should receive reminders for additional resources relevant to their ongoing care and treatment goals.

Integration with Patient Health Data

Given a patient uses the Patient Education Hub, when they check their progress on a specific condition, then the system should show tailored educational resources based on their current health data and treatment plan.

Multi-Language Support

User Story: As a non-native English speaker, I want to access educational materials in my native language, so that I can fully understand the information regarding my health and treatment options.
Description: To cater to a diverse patient population, the Patient Education Hub must provide multi-language support for all educational materials. This will ensure that non-native speakers can access essential health information in their preferred language, promoting inclusivity and understanding. By breaking down language barriers, patients will be empowered to make informed decisions regarding their health.
Acceptance Criteria: Multi-Language Support Accessibility for Users.

Given a user prefers Spanish, when they access the Patient Education Hub, then they should see all educational materials displayed in Spanish.

Verification of Available Languages

Given the Patient Education Hub is accessed, when a user checks language options, then they should be able to select from at least five different languages.

Patient Educational Material Loading

Given a patient accesses a video on diabetes management in French, when they click to play the video, then it should load successfully without errors in French.

Search Functionality in Multiple Languages

Given a user is searching for materials on hypertension in Mandarin, when they enter the search term, then relevant materials should be displayed in Mandarin.

Feedback on Language Understanding

Given a patient accessed educational material in their chosen language, when they complete a feedback form, then it should include an option to rate their understanding of the material on a scale of 1-5.

Consistency of Content Across Languages

Given educational materials are available in multiple languages, when comparing content in English and Arabic, then the key information should be consistent between both languages.

Compliance with Accessibility Standards

Given the Patient Education Hub is designed for diverse users, when reviewing multi-language support, it should comply with WCAG 2.1 accessibility standards for all languages offered.

Secure File Sharing

Enables secure sharing of patient documents, test results, and images during telehealth appointments, ensuring that all relevant information is available for informed decision-making. This feature enhances collaboration between healthcare providers and patients, leading to more effective consultations.

Requirements

File Encryption Mechanism

User Story: As a healthcare provider, I want to securely share patient documents and test results during telehealth appointments so that I can ensure confidential information is protected while enhancing patient care.
Description: The secure file sharing feature must include a robust encryption mechanism to ensure that all patient documents, test results, and images are securely encrypted both at rest and in transit. This will protect sensitive patient information from unauthorized access and breaches, complying with healthcare regulations like HIPAA. The implementation should seamlessly integrate with CuraDesk's existing infrastructure, providing users with an extra layer of security when sharing files during telehealth appointments. The functionality will foster patient trust and enhance the platform’s credibility as a secure healthcare solution.
Acceptance Criteria: Verification of encrypted file sharing during telehealth sessions.

Given a healthcare provider is sharing a patient document during a telehealth appointment, When the document is shared, Then the document must be encrypted both at rest and in transit, and the recipient should confirm receipt of the encrypted file.

Compliance check with HIPAA regulations for file encryption.

Given that the file encryption mechanism is implemented, When a compliance audit is conducted, Then the mechanism must demonstrate adherence to all HIPAA regulations regarding file encryption and data protection.

Testing the user interface for secure file sharing.

Given a user is logged into the CuraDesk platform, When they attempt to share a file, Then the secure file sharing feature must prompt the user to confirm encryption settings and provide a success message upon successful sharing.

Validation of decryption process for received files.

Given a healthcare provider receives an encrypted patient file, When they attempt to access the file, Then they must be able to successfully decrypt and view the file using their authorized credentials without error.

Assessing performance impact of the encryption mechanism.

Given the implementation of the encryption mechanism, When multiple files are shared concurrently, Then file sharing performance should remain efficient, with no significant delays or interruptions experienced by users.

User Permission Controls

User Story: As a system administrator, I want to control user permissions for file sharing so that I can ensure that only authorized personnel have access to sensitive patient information during telehealth sessions.
Description: The requirement for user permission controls will allow administrators to manage access rights for different user roles within the CuraDesk platform. This feature must enable administrators to dictate which users can share files, view documents, or access sensitive information during telehealth sessions. This will not only enhance security but also ensure that compliance with regulations governing data sharing within healthcare environments is maintained. The user permission controls will be integrated into the existing user management system and should include features for auditing access logs.
Acceptance Criteria: Administrators configure user permission settings for a clinical team during a scheduled telehealth appointment.

Given an administrator is logged into CuraDesk, When the administrator accesses the user permission settings, Then they can configure permissions to allow or restrict file sharing for specific user roles.

A healthcare provider attempts to access a patient's test results during a telehealth session based on their assigned role.

Given a healthcare provider with restricted access permissions, When the provider attempts to view patient documents during a telehealth call, Then they receive a notification indicating insufficient permissions to access those documents.

An administrator reviews access logs to track user activity during telehealth sessions.

Given an administrator is logged into the CuraDesk platform, When they navigate to the auditing section for user access logs, Then they can view a detailed log of all user actions related to file sharing for the past 30 days.

A clinic manager updates user role settings to allow file sharing capabilities for newly hired physicians.

Given a clinic manager is logged in with sufficient permissions, When they add a new physician to the system, Then they can assign file sharing permissions as part of the role configuration process.

A user tries to share patient documents with another user who lacks the necessary permissions during the telehealth session.

Given a user attempts to share a document with another user who has restricted permissions, When the sharing action is initiated, Then the system prevents the action and provides an error message indicating permission denial.

Compliance officers periodically assess user permission settings against regulatory requirements.

Given compliance officers have access to the user management system, When they generate a compliance report, Then the report should indicate whether all user permissions meet the necessary regulatory standards for data sharing.

An administrator modifies existing user permissions and saves the changes.

Given an administrator has modified the user permissions for a role, When they save the changes, Then the system should successfully update the permissions and display a confirmation message indicating success.

Real-Time Collaboration Tools

User Story: As a healthcare provider, I want to collaborate in real-time on shared documents during telehealth appointments so that I can provide timely feedback and improve patient outcomes.
Description: This requirement entails developing real-time collaboration tools that allow healthcare providers to discuss and annotate shared files during patient appointments. The feature will enhance collaboration by enabling providers to simultaneously view, comment, and make decisions based on the shared files in real-time. This capability should be seamlessly integrated into the existing video consultation framework of CuraDesk, allowing healthcare providers to provide informed and immediate feedback to patients, thereby facilitating better decision-making during appointments.
Acceptance Criteria: Healthcare provider accesses a shared patient file during a video consultation and initiates a discussion with team members by highlighting areas of concern within the document.

Given that a healthcare provider has opened a shared patient file during a telehealth appointment, When the provider adds annotations or comments, Then all members in the consultation should be able to see these changes in real-time without any delay.

During the consultation, the healthcare provider shares a test result with the patient and annotates it for clarity while discussing its implications.

Given that the healthcare provider shares a test result, When the provider annotates the document, Then the annotations should be visible to both the healthcare provider and the patient simultaneously during the video call.

Multiple healthcare providers are in the same video consultation discussing a patient case while reviewing shared medical images and files.

Given that multiple healthcare providers are present in the telehealth session, When any provider makes changes or annotations to shared files, Then all other providers should see the updates reflected immediately on their screens.

A healthcare provider needs to retrieve previously shared documents for reference during a live consultation with a patient.

Given that the provider is in the midst of a telehealth appointment, When they request access to archived shared documents, Then the system should retrieve and display the requested documents within 10 seconds without affecting call quality.

Patients need clarification on the comments made by their healthcare provider during a consultation regarding their medical documents.

Given that the healthcare provider has made comments on patient documents, When the patient asks for clarification, Then the system should allow the patient to access these comments and view them at any time during the consultation.

Comprehensive Audit Trail

User Story: As a compliance officer, I want to have access to a comprehensive audit trail of file sharing activities so that I can ensure compliance with data protection regulations and maintain patient confidentiality.
Description: The secure file sharing feature must include a comprehensive audit trail to track all file sharing activities. This will log details such as when files are shared, who accessed them, and any modifications made. The audit trail is essential for compliance purposes and will help organizations monitor how sensitive information is handled. The implementation of this requirement should ensure that audit logs are easily accessible for review and reporting, and they must comply with relevant data protection regulations.
Acceptance Criteria: Audit trail logs file sharing activities in real-time during telehealth appointments.

Given the secure file sharing feature is active, when a healthcare provider shares a patient document, then a corresponding entry with timestamp, user ID, and document ID must be logged in the audit trail.

Audit trail displays user access to shared files for compliance review.

Given that the secure file sharing feature is utilized, when an auditor requests user access logs, then the audit trail must provide a list of all users who accessed the shared files along with timestamps.

Audit trail allows review of modifications made to shared patient files.

Given a patient file was shared and later modified, when healthcare providers view the audit trail, then they must see the modification details including the date, user ID, and nature of the change.

Audit trail meets data protection regulation compliance.

Given that audit trails are subject to data protection regulations, when the audit logs are generated, then they must contain all required information as per applicable regulations and be easy to access by authorized personnel only.

Audit trail provides an export function for compliance reporting.

Given the need for compliance reporting, when an authorized user selects the export function, then the audit trail must generate a comprehensive report in a standard format (e.g., CSV, PDF) that includes all relevant sharing activities.

Audit trail filters for enhanced usability during review sessions.

Given that audit trails can be extensive, when users access the audit trail, then they must have the capability to filter logs by date range, user ID, and document ID for easier navigation and review.

Audit trail retains logs for an established retention period.

Given the organization's policy on data retention, when an audit log is queried, then it must show records for at least the last five years, complying with the data retention policy.

Cross-Platform File Accessibility

User Story: As a healthcare provider, I want to be able to access shared files from any device during telehealth appointments so that I can ensure efficiency and responsiveness in patient care.
Description: This requirement focuses on ensuring that files shared through the secure sharing feature can be accessed across different devices and platforms seamlessly. It must support various formats and ensure consistent performance and usability on mobile and desktop devices. The goal is to provide healthcare providers with the flexibility to access patient information anytime, anywhere during telehealth calls, thereby improving the convenience and efficiency of patient care services.
Acceptance Criteria: Cross-Platform Accessibility During Telehealth Consultations

Given a healthcare provider is using a desktop device, when they share a file with a patient during a telehealth session, then the patient should be able to access that file seamlessly on their mobile device without errors or delays.

File Format Support Across Devices

Given a healthcare provider shares various file formats (PDF, JPG, DOCX) during a telehealth appointment, when the patient tries to access these files on their device, then each file format should open correctly and without loss of information on both mobile and desktop.

Consistent Performance Under Varying Network Conditions

Given a healthcare provider and a patient are in a telehealth consultation, when the provider shares a file while on a slow internet connection, then the file should still be accessible to the patient within 10 seconds, ensuring performance is not affected by network speed.

User Authentication for Secure File Access

Given a patient receives a shared file link during a telehealth session, when they attempt to access the file, then they should be required to authenticate their identity using a secure login process to ensure confidentiality and security of patient information.

Notification of File Availability

Given a patient is in a telehealth appointment, when a healthcare provider shares a file, then the patient should receive a real-time notification on their device alerting them about the shared file and how to access it.

File Access Audit Trails

Given files are shared during telehealth appointments, when an administrator reviews access logs, then they should be able to see a complete history of who accessed each file, when they accessed it, and from which device, ensuring compliance and security.

Multi-Participant Consultations

Allows multiple healthcare providers to participate in a single telehealth session, facilitating collaborative care and comprehensive treatment plans. This feature is particularly beneficial for patients requiring input from various specialists, ensuring a holistic approach to their health.

Requirements

Real-Time Video Integration

User Story: As a healthcare provider, I want to conduct a telehealth consultation with multiple specialists so that we can collaborate effectively and create a comprehensive treatment plan for the patient.
Description: This requirement entails implementing a robust real-time video conferencing solution within the CuraDesk platform, allowing multiple healthcare providers to join a single telehealth session. The integration will support high-definition video, audio, and screen sharing capabilities to ensure effective communication among specialists. This feature is essential for facilitating multi-participant consultations, enhancing collaborative care among providers, and improving patient outcomes. Additionally, it must be compatible with existing patient records for easy access during consultations, ensuring that healthcare providers can make informed decisions swiftly while addressing patient needs in a dynamic environment.
Acceptance Criteria: Multiple healthcare providers are scheduled for a telehealth consultation with a patient regarding a complex medical case, requiring input from various specialists in real-time.

Given multiple healthcare providers are available, when they join the telehealth session, then the system should automatically synchronize their audio and video feeds without any significant delay or disruption.

A patient is participating in a telehealth consultation that includes their primary care physician and a specialist for a second opinion on treatment options.

Given the telehealth session is initiated, when all providers join, then the quality of the video should be maintained at high definition (1080p) with no more than 500 ms latency.

Healthcare providers need to share a patient's medical records during a telehealth session to discuss treatment plans and decisions.

Given that the video consultation is live, when a provider requests access to the patient's records, then the system should display the relevant medical information within 2 seconds without disrupting the video feed.

A multi-participant consultation is taking place, and one of the providers needs to share their screen to present test results or medical imaging.

Given the provider chooses to share their screen, when they activate the share option, then the screen should be shared seamlessly with all participants, with no interruptions in audio or video quality.

During a complex multi-participant consultation, healthcare providers are discussing treatment plans and need to ensure confidentiality while communicating sensitive information.

Given the telehealth session is in progress, when any participant shares sensitive information, then the system must ensure that only authorized users can view the shared content, maintaining HIPAA compliance at all times.

At the end of the telehealth consultation, healthcare providers must be able to summarize the discussions and recommendations effectively.

Given the consultation is concluded, when the session ends, then the system should allow providers to generate a summary report of the session that includes participants' input and recommendations for the patient.

Scheduling Coordination

User Story: As a patient, I want to schedule a consultation that includes multiple specialists so that I can ensure all my healthcare providers are involved in my care without confusion or scheduling conflicts.
Description: The scheduling coordination requirement focuses on enabling seamless appointment scheduling for multi-participant consultations. It will automate the process of finding suitable time slots for all involved healthcare providers and the patient. This feature will integrate with existing calendars and notify participants of upcoming appointments, ensuring that everyone is on the same page regarding timing. This automation reduces the administrative burden on staff, allowing them to allocate more time to patient care while minimizing scheduling conflicts. Furthermore, patients will benefit from easier access to the necessary specialists for their consultations.
Acceptance Criteria: Appointment Slot Matching for Multi-Participant Consultations

Given a patient and three healthcare providers with different availability, when a multi-participant consultation is scheduled, then the system should find a common available time slot that accommodates all participants within 48 hours of the request.

Calendar Integration for Healthcare Providers

Given all healthcare providers use different calendar platforms, when a provider's calendar is integrated into the CuraDesk system, then their availability should automatically reflect in the scheduling interface, ensuring accurate appointment bookings.

Notification System for Scheduling Changes

Given a scheduled multi-participant consultation, when any participant modifies the appointment time, then all scheduled participants should receive a notification through email and in-app alerts, ensuring everyone is informed in real-time.

Conflict Resolution Prompt

Given a scheduling request for a multi-participant consultation, when no common time slots are available, then the system should suggest alternative time slots based on the providers' nearest available dates and request confirmation from the patient.

Patient Access to Specialist Availability

Given a patient is seeking a multi-participant consultation, when the patient views available slots, then they should see the specialist's availability alongside their own, allowing the patient to choose time slots that work for them without needing to contact various offices.

Reporting of Appointment Scheduling Statistics

Given the scheduling coordination feature has been used, when the administrative staff generates a report, then they should see statistics on appointment scheduling success rates, average time to schedule, and rescheduling rates for multi-participant consultations.

User Interface for Managing Appointments

Given a healthcare provider is logged into CuraDesk, when they navigate to the appointment management section, then they should have a view that allows them to easily see and manage all their upcoming multi-participant consultations, including the ability to reschedule or cancel appointments.

Integrated Patient Records Access

User Story: As a specialist, I want to access the patient's medical records during a multi-participant consultation so that I can provide accurate and relevant input to fellow healthcare providers about their treatment.
Description: This requirement specifies the integration of patient records into the multi-participant consultation feature, allowing all participating healthcare providers to access relevant patient information in real-time during telehealth sessions. This will ensure that providers can refer to medical history, treatment plans, and previous consultation notes quickly during discussions, leading to more informed decision-making. The integration also needs to maintain strong data security measures to protect patient privacy, ensuring compliance with healthcare regulations. Ultimately, this feature enhances the overall quality of care and reduces the risk of miscommunication among providers.
Acceptance Criteria: Healthcare providers are conducting a multi-participant telehealth session for a patient needing input from multiple specialists, including a cardiologist, endocrinologist, and primary care physician. During the session, they need to access the patient's medical history, treatment plans, and previous consultation notes in real-time.

Given the multi-participant telehealth session is initiated, when a healthcare provider requests access to the patient's records, then all relevant medical history, treatment plans, and consultation notes should be accessible within 5 seconds without errors.

During a multi-participant consultation, a healthcare provider makes a decision based on historical data they retrieved from the integrated patient records. This decision is critical for the patient's ongoing treatment strategy.

Given the healthcare provider needs to refer to patient records during a consultation, when the provider opens the patient records section, then it should display at least the last 3 consultation notes and the current treatment plan without requiring additional logins or authentication.

After a telehealth session, a healthcare administrator reviews the access logs to ensure privacy regulations are met and that only authorized individuals accessed patient records during the session.

Given the integrated patient records feature, when an administrator views the access logs for a specific telehealth session, then it should show a detailed list of all providers who accessed the patient data, along with timestamps, complying with data privacy regulations.

A healthcare provider is participating in a multi-participant consultation while working collaboratively with teammates in different locations. They need to ensure that the information displayed on their screen is accurate and up-to-date.

Given multiple healthcare providers are accessing patient records simultaneously, when any provider updates a piece of information during the session, then all other providers should see those changes reflected in real-time with no more than a 1-second delay.

During the consultation, a patient expresses concern about the confidentiality of their data. Healthcare providers need to reassure them how their data is being protected during the telehealth session.

Given a patient raises questions about data security during the session, when the healthcare providers explain the security measures in place, then the providers should be able to outline at least three specific security features of the integrated patient records to the patient’s satisfaction.

As part of a routine audit, hospital compliance officers are reviewing the integration of patient records with the telehealth feature to ensure it meets security and compliance requirements.

Given the need for audit compliance, when the compliance officer checks the system, then there should be documented protocols for data encryption, user authentication logs, and record access control that aligns with relevant healthcare regulations (e.g., HIPAA).

Feedback and Rating System

User Story: As a patient, I want to provide feedback on my telehealth consultation with multiple specialists so that I can share my experience and help improve future consultations.
Description: This requirement involves developing a feedback mechanism for patients and healthcare providers after multi-participant consultations. A simple rating system and a text box for comments will allow users to provide insights on their experience. This feedback will be crucial for improving service quality and addressing any communication issues among participants. Furthermore, analyzing feedback data will help identify areas for enhancement in the consultation process and ensure that the platform evolves to meet the needs of both patients and providers effectively.
Acceptance Criteria: Patient provides feedback after a multi-participant telehealth consultation

Given that a patient has completed a multi-participant telehealth consultation, when they access the feedback section, then they should see a star rating system and a comment box.

Healthcare provider submits feedback post-consultation

Given that a healthcare provider has participated in a multi-participant telehealth consultation, when they complete the feedback form, then they should be able to submit a rating and comments successfully.

System captures and stores feedback data

Given that feedback has been submitted by either a patient or a healthcare provider, when the feedback is sent, then it should be securely stored in the system's database and retrievable for analysis.

User receives confirmation of feedback submission

Given that a user has successfully submitted feedback, when the submission process concludes, then they should receive a confirmation message acknowledging receipt of their feedback.

Admin accesses feedback reports

Given that an admin user logs into the system, when they navigate to the feedback reports section, then they should be able to view analytics on ratings and comments from all consultations.

System handles erroneous feedback submissions gracefully

Given that a user tries to submit incomplete feedback (e.g., omits the rating), when they attempt to submit, then the system should display an error message prompting them to complete the required fields.

Post-Consultation Summary Generation

User Story: As a healthcare provider, I want to receive a summary of the consultation after it concludes so that I can ensure that all necessary information is documented and communicated to the patient effectively.
Description: The post-consultation summary generation requirement focuses on automatically creating a comprehensive summary of the multi-participant consultation. This summary will include notes from all healthcare providers, treatment recommendations, and follow-up actions discussed during the session. It will be emailed to both the patient and the participating providers, ensuring that everyone leaves the consultation with a clear understanding of the next steps. This feature enhances communication, promotes patient engagement in their care, and reduces the likelihood of misunderstandings regarding treatment plans.
Acceptance Criteria: Post-Consultation Summary Email Delivery to Patient and Providers

Given the conclusion of a multi-participant telehealth consultation, when the summary generation is triggered, then the summary should be automatically emailed to the patient and all participating healthcare providers within 5 minutes of consultation end.

Accuracy of Post-Consultation Summary Content

Given that a multi-participant telehealth consultation has taken place, when the summary is generated, then the summary should accurately reflect the notes and recommendations from all participating healthcare providers without any omissions or errors.

Post-Consultation Summary Accessibility for Users

Given that a summary has been generated, when a user (patient or provider) accesses the CuraDesk platform, then they should be able to view the post-consultation summary easily from their dashboard within the 'Consultation History' section.

Follow-Up Actions Included in Summary

Given the completion of a multi-participant consultation, when the post-consultation summary is generated, then it must include all documented follow-up actions that were discussed during the session, clearly outlined for the patient and providers.

Data Privacy Compliance for Summary Distribution

Given the requirement to maintain patient confidentiality, when the post-consultation summary is emailed, then it must comply with HIPAA regulations concerning the security and privacy of patient data during transmission and storage.

User Feedback on Summary Utility

Given that a post-consultation summary has been sent, when both the patient and providers receive the summary, then they should have an option to provide feedback on the clarity and usefulness of the summary within 7 days of receipt.

Follow-Up Scheduling Automation

Automates the scheduling of follow-up appointments based on consultation outcomes and patient needs. This feature enhances continuity of care, reduces administrative tasks for medical staff, and ensures that patients receive timely check-ins and ongoing support.

Requirements

Appointment Outcome Assessment

User Story: As a healthcare provider, I want to easily record consultation outcomes so that I can ensure my patients receive personalized follow-up care that addresses their specific needs.
Description: This requirement involves creating a system that automatically captures and analyzes consultation outcomes to tailor follow-up care. It includes integrating a feedback mechanism for healthcare providers to input consultation results and patient needs directly into the CuraDesk platform. The data will be analyzed to determine appropriate follow-up timelines and patient priorities. This functionality ensures that follow-ups are customized based on actual clinical outcomes, improving patient care quality and continuity.
Acceptance Criteria: Healthcare providers enter consultation outcomes and patient needs into the CuraDesk platform after a patient visit.

Given a healthcare provider has completed a consultation, when they input the outcome and patient needs into the system, then the data should be accurately captured and saved in the patient's record without errors.

The system analyzes consultation outcomes to determine appropriate follow-up timelines for each patient.

Given the system has received consultation outcome data, when the analysis is performed, then it should automatically generate follow-up recommendations based on predefined clinical guidelines and patient priorities.

Automated alerts are sent to healthcare providers for scheduled follow-ups based on consultation outcomes.

Given a follow-up appointment has been generated for a patient, when the appointment date approaches, then an automated alert should be sent to the healthcare provider's dashboard and via email, ensuring timely patient follow-up.

Patients receive notifications about their upcoming follow-up appointments.

Given a follow-up appointment is scheduled for a patient, when the appointment is confirmed, then the patient should receive a notification via their preferred communication method (SMS, email, or app notification) with details about the appointment.

The system provides insights into follow-up appointment effectiveness based on patient recovery statistics.

Given several follow-up appointments have occurred, when the system is queried for effectiveness data, then it should provide analytics on recovery rates and patient satisfaction scores associated with the follow-ups.

Healthcare providers can view and edit consultation outcomes and follow-up schedules as needed.

Given a healthcare provider accesses a patient’s record, when they attempt to edit consultation outcomes or modify follow-up schedules, then the system should allow for updates while maintaining a complete audit trail for compliance purposes.

Integration of feedback mechanisms for healthcare providers to assess the follow-up process.

Given a feedback mechanism is implemented, when healthcare providers provide feedback on the follow-up process, then the system should capture and categorize this feedback for continuous improvement of the follow-up automation feature.

Automated Notification System

User Story: As a patient, I want to receive reminders for my follow-up appointments via SMS, so that I don’t forget them and can better manage my healthcare.
Description: This requirement focuses on implementing an automated notification system that sends reminders to patients and healthcare providers about upcoming follow-up appointments. This will include customizable notification settings for patients to receive reminders via their preferred methods (e-mail, SMS, app notifications). Enhancing communication will reduce no-show rates and ensure patients are prepared for their appointments.
Acceptance Criteria: Automated reminders for follow-up appointments to patients and healthcare providers are generated after each consultation based on the provided outcomes.

Given a patient has completed a consultation, when the appointment results are recorded, then an automated reminder for the follow-up appointment should be sent to the patient’s chosen notification method (e-mail, SMS, or app notification).

Patients should be able to customize their notification preferences for receiving reminders about follow-up appointments.

Given that a patient accesses their notification settings, when they update their preferences for receiving follow-up appointment reminders, then the system must save these preferences accurately without errors.

Healthcare providers need to receive reminders for their upcoming follow-up appointments with patients as per the scheduled timeline.

Given a follow-up appointment is scheduled, when the due date for the appointment arrives, then the healthcare provider should receive a reminder notification via their specified method of communication.

Test the functionality of sending follow-up reminders for patients who have opted in for SMS notifications.

Given a patient has opted to receive SMS notifications, when a follow-up appointment is scheduled, then an SMS reminder should be received by the patient at least 24 hours prior to the appointment.

Ensure the system can handle bulk notifications for multiple patients scheduled for follow-up appointments on the same day.

Given multiple follow-up appointments are scheduled for the same day, when the notifications are generated, then all patients should receive their reminders simultaneously without delays or failures.

Automate the follow-up appointment reminders based on predefined intervals post-consultation (e.g., 1 week, 2 weeks).

Given a consultation outcome dictates multiple follow-up intervals, when the scheduled intervals are reached, then automated reminders must be dispatched at those intervals to the patients and healthcare providers.

All reminders must provide essential appointment details including date, time, and location, to ensure clarity for both patients and providers.

Given an automated reminder is sent out, when the reminder is received, then it must include comprehensive details such as appointment date, time, and location to minimize confusion.

Integration with Patient Records

User Story: As a healthcare administrator, I want the follow-up scheduling system to integrate seamlessly with patient records, so that I can ensure all necessary patient information is considered during scheduling and avoid data entry errors.
Description: The requirement involves integrating follow-up scheduling automation with existing patient record systems. This will allow the system to pull relevant data from patient profiles automatically, facilitating accurate scheduling based on each patient's medical history and required follow-up care. This integration enhances operational efficiency and ensures that patient data is leveraged effectively for subsequent consultations.
Acceptance Criteria: Integration with patient records during follow-up scheduling

Given a patient with a completed consultation, when the follow-up scheduling automation is triggered, then the system must retrieve the patient's relevant medical history from the patient records database.

Automated follow-up appointment suggestions

Given the patient's medical history retrieved from the records, when the follow-up scheduling automation processes the data, then it must suggest follow-up appointments based on recommended intervals in the patient's care plan.

User notification for follow-up scheduling

Given a scheduled follow-up appointment is determined, when the follow-up scheduling automation completes, then the system must notify the medical staff and the patient via their preferred communication method about the next appointment.

Integration with billing systems

Given the follow-up appointment has been successfully scheduled, when data is sent to the billing system, then the system must generate an accurate billing record based on the patient's follow-up care requirements.

Patient record update post-consultation

Given a follow-up appointment is scheduled, when the patient record is updated, then the follow-up appointment details must be accurately reflected in the patient's medical history within the records system.

Handling scheduling conflicts

Given multiple follow-up appointments exist, when a conflict is detected in scheduling, then the system must automatically suggest alternative dates and times to the medical staff.

Performance tracking of follow-up scheduling automation

Given the integration is live, when the follow-up scheduling automation is in use for one month, then the system must generate a report analyzing the timeliness and accuracy of the scheduled follow-ups.

Reporting and Analytics Dashboard

User Story: As a hospital administrator, I want a dashboard that shows follow-up appointment statistics, so that I can analyze trends and make informed decisions to improve patient care processes.
Description: This requirement entails developing a reporting and analytics dashboard that provides healthcare administrators with insights into follow-up appointment metrics and outcomes. The dashboard will display data on scheduled follow-ups, patient compliance, and overall effectiveness of the scheduling automation. This functionality will aid in decision-making and continuous improvement of patient care practices.
Acceptance Criteria: Dashboard displays an overview of follow-up appointment metrics to administrators after a patient consultation has been completed.

Given the consultation is completed, when the administrator accesses the reporting and analytics dashboard, then the dashboard should display real-time metrics on scheduled follow-ups, patient compliance rates, and overall effectiveness of scheduling automation.

User can drill down into specific follow-up metrics to analyze appointment trends over a specified time period.

Given an administrator is on the reporting and analytics dashboard, when they select a date range and follow-up type, then the dashboard should accurately filter and display detailed metrics pertaining to that period and type, allowing for trend analysis.

Dashboard integrates with existing patient data to reflect accurate follow-up appointment outcomes.

Given that patient data is updated in the system, when follow-up metrics are calculated, then the reporting and analytics dashboard should reflect current and accurate follow-up appointment outcomes based on the latest patient information.

Alerts are generated for administrators when follow-up appointment compliance drops below a specified threshold.

Given the dashboard is actively monitoring appointment compliance, when the compliance rate drops below 85%, then an alert should be triggered and displayed prominently on the dashboard.

The dashboard allows administrators to export follow-up metrics in various formats for reporting purposes.

Given an administrator is viewing a set of metrics on the dashboard, when they select the export function, then they should be able to download the report in at least two formats, such as CSV and PDF.

The effectiveness of scheduling automation is visually represented on the dashboard for easy interpretation by healthcare administrators.

Given that all relevant data is available, when the reporting and analytics dashboard is accessed, then it should visually display the effectiveness of the scheduling automation through graphs or charts that highlight key performance indicators.

Administrators have the ability to customize the dashboard view to suit their specific reporting needs.

Given the administrator is on the dashboard, when they access the settings for customization, then they should be able to select and arrange the displayed metrics based on personal preferences and needs.

Patient Profile Customization

User Story: As a patient, I want to customize my contact preferences for follow-up appointments, so that I can choose how and when I want to be reminded regarding my health check-ins.
Description: This requirement focuses on allowing patients to customize their profile settings regarding follow-up appointments. Patients should be able to specify their preferred days and times for contact, types of follow-ups required, and communication preferences. This personalization will foster better patient engagement and satisfaction with the healthcare process.
Acceptance Criteria: Patients want to customize their follow-up appointment preferences after their initial consultation.

Given a patient is logged into their CuraDesk account, when they access the profile customization section, then they can select their preferred days and times for follow-up appointments, types of follow-ups needed, and communication preferences.

A patient has completed their profile customization for follow-up appointments and wants to save their preferred settings.

Given a patient has filled out their preferred days, times, types of follow-ups, and communication preferences, when they click the 'Save' button, then their preferences must be stored in the system without errors.

Medical staff need to review a patient's follow-up preferences before scheduling an appointment.

Given a medical staff member is viewing a patient's profile, when they check the follow-up preferences section, then the customized preferences set by the patient must be displayed accurately and clearly.

Patients wish to receive reminders based on their specified follow-up preferences.

Given a patient has set their follow-up preferences for reminders, when the reminder time arrives, then the system should send a notification according to the patient's preferred communication method (email or SMS).

A patient encounters issues while trying to customize their follow-up profile.

Given a patient is trying to use the customization function, when they encounter an error, then the system should provide a clear error message and a suggestion to resolve the issue effectively.

Patients want to review and update their follow-up preferences at any time.

Given a patient is logged into their account, when they navigate to the profile customization section, then they should be able to view, edit, and update their follow-up preferences whenever desired.

A patient needs to ensure that their preferences adhere to the healthcare provider's policies.

Given a patient is customizing their follow-up preferences, when they select their options, then the system must inform them of any restrictions or policies relevant to their choices before confirming the update.

Feedback Collection Wizard

An intuitive tool that guides patients through a series of simple questions post-visit to gather feedback on their experience. This feature enhances user engagement by making the feedback process seamless and fast, leading to higher response rates and more comprehensive insights into patient satisfaction.

Requirements

User-Friendly Questionnaire

User Story: As a patient, I want to easily provide feedback about my visit through a quick and intuitive questionnaire so that my experience can help improve future services and care.
Description: The requirement focuses on developing an intuitive feedback collection questionnaire that guides patients through a series of simple, relevant questions post-visit. This feature should incorporate multiple-choice, rating scales, and open-ended questions to ensure comprehensive feedback while maintaining a user-friendly experience. The goal is to enhance patient engagement and achieve higher completion rates by minimizing the effort required from patients. Furthermore, it should seamlessly integrate with the existing CuraDesk ecosystem, ensuring that responses are automatically linked with patient records for efficient analysis and reporting.
Acceptance Criteria: Patient Accesses Feedback Collection Wizard Post-Visit

Given a patient has completed their visit, When they receive a notification to provide feedback, Then they should be directed to the feedback collection questionnaire with no navigation issues.

Questionnaire Contains Varied Question Formats

Given the patient is on the feedback collection questionnaire, When they review the questions presented, Then they should see multiple-choice, rating scales, and open-ended questions with clear instructions for each format.

Questionnaire User-Friendliness is Assessed

Given a patient interacts with the feedback questionnaire, When they complete the questionnaire, Then they should report an ease of use rating of at least 4 out of 5 in a follow-up survey.

Integration with Patient Records

Given a patient submits feedback through the questionnaire, When the submission is completed, Then the feedback should be automatically linked to the patient's record in the CuraDesk system without manual intervention.

Completion Rates of Feedback Submission

Given the feedback collection wizard is active, When the number of patients who complete the feedback form is analyzed, Then at least 75% of patients should complete the questionnaire within 24 hours of being prompted.

Feedback Data Analysis Accessibility

Given the healthcare administrator wants to analyze feedback data, When they access the reporting module in CuraDesk, Then they should be able to view and export feedback responses in a structured format without errors.

Feedback Collection Wizard Performance Metrics

Given the feedback collection wizard has been in use for 3 months, When the system performance is evaluated, Then the average response time for patients completing the questionnaire should be less than 2 minutes.

Real-Time Response Analysis

User Story: As a healthcare administrator, I want to instantly see feedback trends and areas of concern so that I can make timely improvements to enhance patient care and satisfaction.
Description: This requirement seeks to implement a real-time analytics dashboard that allows healthcare administrators to view and analyze feedback data as it is collected. The dashboard should feature visualizations such as charts and graphs to highlight trends in patient satisfaction over time. It should also allow for filtering by department, service, and time frame. This capability will empower decision-makers to address issues promptly and improve the quality of care based on real patient insights. The integration of this analytics tool within CuraDesk should be seamless, ensuring that stakeholders have immediate access to actionable insights.
Acceptance Criteria: Real-time Feedback Display for Administrators

Given that healthcare administrators are logged into the CuraDesk platform, when they navigate to the feedback analytics dashboard, then they should see real-time visual displays of patient feedback data including satisfaction scores, response rates, and trends.

Filtering Options in the Analytics Dashboard

Given that healthcare administrators are viewing the feedback analytics dashboard, when they apply filters for department, service, or time frame, then the displayed data should update accordingly to reflect only the relevant patient feedback.

Exporting Feedback Data

Given that healthcare administrators have accessed the feedback analytics dashboard, when they select the export feature, then they should be able to download the feedback data in a CSV format that includes all visualized data points.

Historical Data Access

Given that healthcare administrators want to assess trends over time, when they check the analytics dashboard, then they should have access to historical feedback data for the last 12 months.

Visualization of Trends in Patient Satisfaction

Given that healthcare administrators are viewing the analytics dashboard, when they analyze the provided charts and graphs, then these visualizations should clearly indicate trends in patient satisfaction over specific time periods and identifiable services.

User Interface Usability Testing

Given that the feedback analytics dashboard has been developed, when usability testing is conducted with healthcare administrators, then at least 80% of users should find the interface intuitive and easy to navigate based on post-test surveys.

Timeliness of Data Updates

Given that patient feedback is continuously collected, when a new feedback response is recorded, then the analytics dashboard should update to reflect this new data within 5 minutes.

Automated Follow-Up Notifications

User Story: As a patient, I want to receive a reminder to submit my feedback after my visit, so I don’t forget to share my experience, which helps improve future services.
Description: This requirement involves creating an automated follow-up notification system that reminds patients to complete the feedback questionnaire after their visit. The system should send customizable notifications via email or SMS, ensuring that patients receive gentle reminders within a specified timeframe post-visit. It should also allow administrators to schedule notifications based on varying patient demographics and preferences. This will boost engagement in the feedback process, ultimately leading to more robust insights for improving patient experience without burdening the administrative staff.
Acceptance Criteria: Patient receives a follow-up notification via email after a medical visit prompting them to complete the feedback questionnaire within 48 hours.

Given a patient's email is successfully captured in the system, When the patient checks their email post-visit, Then they should receive a follow-up notification prompting them to complete the feedback questionnaire within 48 hours.

Administrator customizes follow-up notification settings based on patient demographics.

Given an administrator is logged into the system, When they access the feedback collection settings, Then they should be able to customize notification frequency and medium (email/SMS) based on patient demographics such as age and visit type.

Patient opts out of receiving follow-up notifications and their preference is recorded in the system.

Given a patient provides feedback indicating they do not wish to receive follow-up notifications, When the administrator records this preference, Then the system should ensure no further notifications are sent to that patient for subsequent visits.

System sends automated SMS reminders to patients for completing the feedback questionnaire after a visit.

Given a patient's mobile number is stored correctly in the system, When the patient’s visit status is updated to 'Completed', Then the system should send an automated SMS reminder for the feedback questionnaire within the designated timeframe.

Patients receive personalized follow-up notifications based on their previous visit experiences.

Given the feedback from a previous visit has been analyzed, When the system generates follow-up notifications for the next visit, Then the content of the notifications should reflect the specific experiences or issues noted by the patient in their last feedback form.

Tracking the engagement rate of follow-up notifications sent to patients who completed feedback.

Given that follow-up notifications were sent, When the administrator reviews the feedback response metrics, Then they should see a report indicating the engagement rate of patients who completed the feedback questionnaire compared to those who received notifications.

Data Privacy Compliance

User Story: As a patient, I want to know that my feedback is secure and my personal information is protected so that I can share my experience without concerns about privacy violations.
Description: The requirement mandates that the feedback collection process adheres to all relevant data privacy regulations, including HIPAA compliance, ensuring that all patient information collected during the feedback process is secure and confidential. This includes implementing encryption protocols for data storage and transmission, as well as providing clear notices to patients about how their feedback data will be used. It is essential for maintaining trust with patients and ensuring that CuraDesk operates within legal and ethical boundaries while capturing essential feedback for improvement.
Acceptance Criteria: Data Encryption During Feedback Submission

Given a patient submits their feedback through the Feedback Collection Wizard, when the data is transmitted to the server, then the data must be encrypted using industry-standard encryption protocols (e.g., AES-256) during transmission.

Data Privacy Notice Visibility

Given a patient is presented with the Feedback Collection Wizard, when they begin the feedback process, then they must see a clear data privacy notice that outlines how their feedback data will be used and stored, prior to submitting their responses.

Access Control for Feedback Data

Given administrative staff access to the feedback data collected, when they attempt to view or process the data, then they must authenticate through secure login mechanisms and have restricted access based on their role to ensure patient confidentiality.

Data Storage Compliance with HIPAA

Given that patient feedback is stored in the system, when the data is at rest, then it must be stored in a secure environment that is compliant with HIPAA regulations, including controlled access and regular audits of data access logs.

User Consent for Data Collection

Given that a patient is about to provide feedback, when they reach the consent section of the Feedback Collection Wizard, then they must provide online consent by checking a box indicating they agree to the data collection terms before proceeding to the actual feedback questions.

Secure Data Deletion Process

Given that feedback data is no longer required for analysis, when a request for data deletion is made by authorized personnel, then all identifiable patient information must be permanently deleted from the system within 30 days, ensuring compliance with data retention regulations.

Multilingual Support Option

User Story: As a non-English speaking patient, I want the feedback questionnaire to be available in my native language so that I can easily express my thoughts and experiences without misunderstanding.
Description: This requirement pertains to the development of multilingual support within the feedback collection interface, allowing patients to complete the questionnaire in their preferred language. This will enhance accessibility for a diverse patient base, ensuring that language barriers do not hinder the collection of valuable feedback. The system should support at least the top three languages spoken in the hospital's service area, providing a better user experience and demonstrating inclusiveness in patient engagement efforts.
Acceptance Criteria: Multilingual support enables patients to select their preferred language for the feedback questionnaire post-visit, ensuring inclusivity and easier comprehension of the questions asked.

Given a patient who speaks Spanish, When they access the feedback questionnaire, Then they should see all questions translated into Spanish and be able to respond in their preferred language.

The system must display language options clearly and allow patients to switch between languages during the feedback process without losing their previous responses.

Given a patient in the feedback collection, When they select a different language from the options, Then the questionnaire updates in real-time without requiring them to restart the feedback process.

The support should include error messages in multiple languages to assist patients in case of issues while submitting the feedback, ensuring the process is user-friendly.

Given a patient who encounters an error while submitting feedback, When they view the error message, Then the message should be displayed in the language they selected for the questionnaire.

Language support should encompass both written feedback and predefined response options in all supported languages, making it easier for patients to provide meaningful feedback.

Given a patient filling out the questionnaire, When they choose their language, Then all predefined responses and instructions should be accurately translated and displayed according to their choice.

The system should support at least three languages based on the hospital's service area demographics, ensuring meaningful data collection from all patient groups.

Given the hospital's service area language demographics, When the feedback collection tool is launched, Then it should support at least the three most spoken languages in that area for the questionnaire.

The multilingual feature should be tested with actual users from the hospital’s patient demographics to ensure usability and comprehension validation.

Given a group of diverse patients, When they complete the feedback in their preferred language, Then at least 85% of users should report satisfaction and understanding of the questions asked during the survey.

Sentiment Analysis Dashboard

A powerful analytics feature that employs natural language processing to assess the sentiment of patient comments and feedback. By categorizing feedback into positive, negative, or neutral sentiments, this dashboard provides healthcare administrators with a deeper understanding of patient sentiments, enabling targeted improvements in care delivery.

Requirements

Sentiment Categorization

User Story: As a healthcare administrator, I want to view patient feedback categorized by sentiment so that I can quickly identify areas for improvement in patient care and satisfaction.
Description: This requirement involves the implementation of a robust natural language processing (NLP) algorithm that can analyze patient comments and feedback to categorize them into three main sentiment categories: positive, negative, and neutral. The algorithm will process textual data received from various sources (including surveys, online feedback forms, and social media) in real-time, ensuring that healthcare administrators have access to the latest sentiments expressed by patients. The sentiment analysis results will be displayed visually within the Sentiment Analysis Dashboard, allowing for quick interpretation and identification of areas needing attention. This feature enhances the product by providing actionable insights that can lead to improved patient care and satisfaction, ultimately driving better healthcare outcomes.
Acceptance Criteria: Sentiment categorization of patient feedback from post-appointment surveys.

Given that patient feedback comments are submitted via post-appointment surveys, when the NLP algorithm processes these comments, then it should correctly categorize at least 90% of the comments into positive, negative, or neutral sentiments.

Real-time sentiment analysis of social media comments related to the healthcare facility.

Given that patient comments are obtained from social media platforms, when the algorithm analyzes these comments, then the sentiments should be categorized with an accuracy of at least 85%, and results should be updated on the dashboard within 5 minutes of receiving the data.

Categorization of patient feedback from online feedback forms collected after treatment.

Given feedback is collected from online forms, when the NLP algorithm processes this textual data, then the results should be visualized in the dashboard with appropriate metrics showing the distribution of positive, negative, and neutral sentiments, reflecting a minimum of 100 comments analyzed per day.

Integration of sentiment categorization from multiple data sources into a unified dashboard.

Given that sentiment data is extracted from various sources including surveys, social media, and online forms, when the data is compiled, then the dashboard should display a cumulative sentiment analysis that refreshes every hour and enables filtering by feedback source.

Historical sentiment analysis of patient feedback over the last quarter.

Given feedback data from the last quarter stored in the system, when the sentiment analysis is conducted, then the results should show trends in sentiment categories, with at least 80% of the historical data processed and visualized on the dashboard.

User notification of critical negative sentiment trends.

Given that negative sentiment exceeds a predefined threshold, when the NLP algorithm identifies this trend, then the dashboard should send real-time alerts to the healthcare administrators indicating actionable insights for immediate attention.

Feedback on sentiment analysis accuracy from healthcare administrators.

Given healthcare administrators use the sentiment analysis dashboard, when they evaluate the categorization results, then at least 75% of the feedback should indicate satisfaction with the accuracy and helpfulness of the sentiment categorization feature.

Real-time Dashboard Visualization

User Story: As a healthcare administrator, I want a visual representation of patient sentiment data so that I can easily understand trends and making data-driven decisions to enhance patient care.
Description: The requirement is to create a user-friendly dashboard that visualizes the results of the sentiment analysis in real-time. The dashboard will include interactive charts and graphs that display the distribution of sentiments over time, enabling healthcare administrators to track changes in patient sentiment and correlate them with care delivery changes or external events. This visualization will support informed decision-making regarding patient care strategies, as administrators can identify trends, spikes in negative feedback, or improvements over time. By providing real-time access to sentiment data, this feature will facilitate a proactive approach to addressing patient concerns and enhancing overall healthcare service quality.
Acceptance Criteria: Dashboard displays sentiment data for selected time ranges

Given I am a healthcare administrator, when I select a specific date range on the dashboard, then the visualizations should update to show sentiment data only for that selected range, including accurate counts and percentages of positive, negative, and neutral feedback.

Real-time updates of sentiment data

Given the system is running, when new patient comments are added, then the dashboard should update in real-time without needing a manual refresh, reflecting the latest sentiment analysis results within 5 seconds.

User interaction with sentiment charts

Given I am viewing the sentiment dashboard, when I hover over any data point on the charts, then a tooltip should display detailed information about that data point, including the exact number of comments and the date range it represents.

Dashboard usability and accessibility

Given I have accessed the sentiment analysis dashboard, when I navigate through different sections of the dashboard using keyboard controls, then I should be able to access all functionalities without using a mouse, ensuring compliance with accessibility standards.

Alerts for significant changes in sentiment

Given I am a healthcare administrator, when there is a significant increase in negative sentiment (more than 20% increase compared to the previous week), then I should receive an automated alert via email and in-app notification to prompt further investigation.

Export functionality for sentiment data

Given I am on the sentiment analysis dashboard, when I choose to export the data, then I should be able to download a CSV file that includes all sentiment data along with timestamps and comment counts for the specified time range.

Integration with other dashboard features

Given I have logged into CuraDesk, when I access the sentiment analysis dashboard, then it should seamlessly integrate with other features such as patient tracking and scheduling to provide contextual insights related to patient feedback.

Feedback Source Integration

User Story: As a healthcare administrator, I want to integrate multiple sources of patient feedback into the dashboard so that I can obtain a holistic view of patient sentiments from various platforms.
Description: This requirement involves integrating various sources of patient feedback, such as surveys, social media, and direct feedback through the platform, into the Sentiment Analysis Dashboard. The integration will gather data from multiple channels, ensuring a comprehensive understanding of patient sentiments across different platforms. By consolidating feedback sources, this feature will enhance the accuracy of sentiment analysis by providing a diverse array of comments that reflect a broader spectrum of patient experiences. This comprehensive integration is crucial for delivering a well-rounded view of patient sentiment, allowing healthcare administrators to act effectively on all patient feedback received.
Acceptance Criteria: Integration of Multiple Feedback Sources into Sentiment Analysis Dashboard.

Given that the feedback sources (surveys, social media, direct platform feedback) are configured, when the data is fetched, then all feedback from these sources should be visible on the Sentiment Analysis Dashboard.

Categorization of Patient Feedback by Sentiment.

Given that patient feedback is integrated, when the data is processed, then each piece of feedback should be categorized as positive, negative, or neutral on the Sentiment Analysis Dashboard.

Real-Time Update of Sentiment Analysis Dashboard.

Given that new patient feedback is submitted, when it is received, then the Sentiment Analysis Dashboard should reflect this feedback within 5 minutes, ensuring real-time data accuracy.

User Interface Accessibility for Healthcare Administrators.

Given that the Sentiment Analysis Dashboard is accessible to healthcare administrators, when they log in, then they should be able to view and interact with the dashboard without errors on different devices (desktop, tablet, mobile).

Accuracy of Sentiment Analysis Engine.

Given that the natural language processing engine is operational, when patient feedback is processed, then the sentiment analysis accuracy should meet a minimum threshold of 85% against manually categorized samples.

Reporting Functionality for Administrators.

Given that the feedback data is integrated, when the healthcare administrator generates a report, then the report should include insights from all integrated feedback sources categorized by sentiment, actionable items, and trends over time.

Feedback Capture from Social Media.

Given that the integration includes social media platforms, when a patient posts feedback about the service on a monitored social media channel, then it should be captured and reflected in the Sentiment Analysis Dashboard within 10 minutes.

Automated Reporting Mechanism

User Story: As a healthcare administrator, I want to receive automated reports on patient sentiment analysis so that I can keep abreast of feedback trends without manual effort.
Description: The requirement establishes an automated reporting mechanism that generates comprehensive reports on patient sentiment analysis at specified intervals (daily, weekly, monthly). The reports will summarize key insights, trends, and actionable recommendations based on patient feedback. This feature will save time for healthcare administrators by eliminating the need for manual report generation, enabling them to focus on implementing changes and improvements in care delivery. The automatic reporting will also ensure that the administration is consistently updated with the latest patient feedback analyses, contributing to a culture of continuous improvement and responsiveness to patient needs.
Acceptance Criteria: Automated reports are generated for daily patient sentiment analysis and delivered to administrators each morning by 8 AM.

Given the automated reporting mechanism is active, When the specified daily report interval is reached, Then a report summarizing daily patient sentiments is generated and emailed to relevant administrators by 8 AM.

Automated reports are generated on a weekly basis to summarize trends in patient sentiments over the past week.

Given the automated reporting mechanism is active, When the specified weekly report interval is reached, Then a report summarizing weekly trends in patient sentiment is generated and emailed to healthcare administrators every Monday by 10 AM.

Monthly automated reports provide an in-depth analysis of patient feedback including actionable recommendations for care improvements.

Given the automated reporting mechanism is active, When the specified monthly report interval is reached, Then a comprehensive report summarizing monthly patient sentiment analysis with recommendations is generated and distributed to the administration by the first day of the following month.

Healthcare administrators can customize the frequency of the sentiment analysis reports (daily, weekly, or monthly) according to their needs.

Given that a healthcare administrator has access to the reporting settings, When they select a custom frequency (daily, weekly, or monthly), Then the automated reporting mechanism reflects the new frequency setting immediately for subsequent reports.

In case of failures in report generation, administrators receive immediate alerts via email.

Given that the automated reporting mechanism encounters an error during report generation, When an error occurs, Then an alert email specifying the issue is sent to healthcare administrators within 5 minutes of the failure.

The automated reporting mechanism includes options to filter reports by specific criteria such as department or type of feedback.

Given the automated reporting mechanism is in use, When a healthcare administrator requests a report based on specific filters (e.g., department, feedback type), Then the generated report accurately reflects these filters in its content.

The reports generated are accessible through the CuraDesk dashboard for quick reference.

Given the automated reports are generated, When an administrator logs into the CuraDesk dashboard, Then they can access the latest reports under a dedicated 'Sentiment Analysis Reports' section.

Sentiment Alerts System

User Story: As a healthcare administrator, I want to receive real-time alerts when negative sentiment is detected so that I can act quickly to address critical patient concerns.
Description: This requirement consists of developing a real-time alert system that notifies healthcare administrators when negative sentiment crosses a predefined threshold. This proactive approach will enable immediate attention to specific issues raised by patients, guiding administrators to prioritize responses to critical feedback. The alerts will be customizable based on different parameters such as sentiment percentage, keywords, or recent feedback volume, allowing for tailored notifications that align with the organization’s responsiveness goals. By implementing this alerts system, healthcare administrators can adopt a timely response strategy, directly impacting patient satisfaction and care improvement efforts.
Acceptance Criteria: Negative Sentiment Threshold Alerting System Activation

Given a standard threshold for negative sentiment is set at 40%, When patient feedback is received with negative sentiment averaging 45%, Then a real-time alert should be sent to the designated healthcare administrators.

Customizable Alert Parameters for Specific Keywords

Given that keywords are defined for monitoring, When patient feedback contains the specified keywords indicating negative sentiment, Then the alert system should trigger a notification to administrators regardless of overall sentiment score.

Volume of Recent Feedback Triggering Alerts

Given that the system monitors patient feedback volume, When there are more than 100 pieces of negative feedback received within a 24-hour period, Then alerts should be generated automatically for healthcare administrators to review and respond accordingly.

User Interface for Managing Alert Preferences

Given that healthcare administrators access the alert management dashboard, When they adjust the sentiment and keyword thresholds, Then the changes should be saved and effective immediately for future feedback assessment.

Alert System Performance Metrics

Given that alerts are being generated, When analyzing system performance after one month of use, Then at least 90% of alerts should have been acknowledged by administrators within the first hour of receipt.

Integration Testing with Existing Sentiment Analysis Dashboard

Given that the Sentiment Alerts System is developed, When integrating with the Sentiment Analysis Dashboard, Then alerts should display correctly in the dashboard without any data mismatch or delays.

Feedback Loop for Continuous Improvement

Given that alerts are generated, When administrators respond to feedback, Then a mechanism should be in place to record the follow-up actions taken based on the alerts, allowing for analysis of responsiveness and care improvements over time.

Real-Time Improvement Alerts

Automated notifications sent to healthcare administrators when patient feedback indicates urgent issues or declining satisfaction levels. This feature ensures timely responses to patient concerns, enabling facilities to address problems before they escalate, thus preserving patient trust and experience.

Requirements

Automated Feedback Analysis

User Story: As a healthcare administrator, I want to receive automated feedback analysis so that I can quickly identify and address any urgent patient concerns before they impact overall satisfaction levels.
Description: This requirement involves developing an automated system that analyzes patient feedback in real-time to detect negative trends or urgent issues. The system will utilize natural language processing (NLP) techniques to assess patient sentiment from surveys and comments, categorizing them by urgency. This integration with existing feedback channels will ensure that healthcare administrators receive timely notifications about declining satisfaction or urgent issues, allowing them to react appropriately. The expected outcome is an enhanced ability to identify and address patient concerns before they escalate, thus improving overall patient satisfaction and trust in the facility.
Acceptance Criteria: Healthcare administrators receiving alerts for negative patient feedback after a hospital visit that requires immediate attention.

Given a patient submits feedback indicating dissatisfaction, when the system analyzes the feedback, then it should send an automated alert to the administrator within 5 minutes of submission.

Monitoring of patient feedback trends over a month to identify any emerging issues that need addressing.

Given a collection of patient feedback over the past month, when the system performs sentiment analysis, then it should produce a report highlighting at least three trends of declining satisfaction for review.

Healthcare administrators evaluating and prioritizing alerts based on severity and urgency of patient feedback.

Given multiple patient feedback alerts, when an administrator reviews them, then the alerts should be sorted by urgency level, allowing the administrator to address the most critical issues first.

Integration of automated feedback analysis with existing hospital communication systems to ensure seamless notification delivery to the right personnel.

Given the existing hospital communication system, when an alert is triggered, then it should be delivered via email and SMS to the assigned healthcare administrator without delay.

Testing of the natural language processing (NLP) system for accurately categorizing feedback into urgent, moderate, and low priority.

Given a set of patient feedback comments, when the NLP system processes them, then it should categorize each comment correctly with at least 95% accuracy for priority levels.

Reporting of the system's performance in identifying declining satisfaction patterns over time to ensure effectiveness.

Given the feedback analysis over a quarter, when the administrator requests a report, then the system should provide insights on identified patterns and the average response time to issues raised.

User training for healthcare administrators on how to utilize the automated feedback system effectively.

Given a training session for administrators, when they complete the training, then they should demonstrate understanding by successfully navigating the system and responding to a sample alert with a score of 80% or higher in a follow-up assessment.

Real-Time Notification System

User Story: As a healthcare administrator, I want to receive real-time notifications regarding urgent patient feedback issues so that I can address them promptly to maintain high patient satisfaction levels.
Description: The Real-Time Notification System requirement entails creating a robust notification framework that alerts healthcare administrators of urgent patient feedback issues. This system will leverage push notifications and SMS integration to ensure that administrators are informed immediately when urgent problems arise. The notifications will be customizable based on severity levels, allowing for prioritization of the response. This feature is crucial for ensuring that patient feedback leads to immediate action, thereby enhancing patient care and satisfaction.
Acceptance Criteria: Healthcare administrator receives urgent feedback from a patient regarding a critical issue with medical equipment.

Given an urgent feedback about medical equipment, when it's received by the system, then a push notification and SMS alert should be sent to the designated healthcare administrator within 5 minutes.

Multiple feedbacks indicating declining patient satisfaction are received within a short time frame.

Given multiple urgent feedbacks are received, when the notification is triggered, then all administrators should receive individual alerts prioritizing the feedback based on severity.

A healthcare administrator wants to customize the notification settings based on different severity levels of patient feedback.

Given an admin accesses the notification settings, when they customize severity thresholds, then the system should allow for saving and applying these settings immediately for future notifications.

A healthcare administrator reviews the alert history for better decision-making.

Given that alerts have been sent, when the admin accesses the alert history, then they should see all previous notifications categorized by severity, timestamp, and patient information.

Patients provide feedback indicating satisfaction with the resolution of their concerns after receiving urgent alerts.

Given that an alert was successfully resolved, when patients fill out follow-up feedback, then at least 80% of patients should report satisfactory resolution within 2 days of the notification being sent.

The notification system experiences a downtime during peak hours, affecting the delivery of critical alerts.

Given a downtime occurs during peak hours, when the system resumes, then all missed notifications should be queued and sent within 15 minutes of recovery.

A healthcare administrator wants to ensure alerts are sent securely and without data breaches.

Given the system sends notifications, when an alert is triggered, then it should use encrypted channels for SMS and push notifications without exposing any patient sensitive data.

Dashboard for Patient Feedback Insights

User Story: As a healthcare administrator, I want a dashboard that displays real-time patient feedback insights so that I can make informed decisions and take proactive measures to enhance patient satisfaction.
Description: This requirement proposes the development of a centralized dashboard that provides healthcare administrators with insights into real-time patient feedback. The dashboard will include data visualizations representing trends, urgency levels, and historical feedback patterns. By aggregating data from various sources, administrators can gain a comprehensive view of patient satisfaction, enabling data-driven decisions that enhance patient care. This feature will significantly facilitate proactive management of patient relations and operational improvements based on feedback analysis.
Acceptance Criteria: Dashboard displays real-time patient feedback data for hospital administrators to review and act upon during morning briefings.

Given a healthcare administrator accesses the dashboard, when they navigate to the patient feedback section, then the dashboard must display feedback collected in the last 24 hours, including a visual graph of satisfaction levels, sorted by urgency.

Healthcare administrators receive an email alert if the patient feedback indicates a decline in satisfaction and urgent issues arise during shifts.

Given a patient submits feedback indicating dissatisfaction, when the feedback is categorized as urgent, then an automated email alert must be sent to the assigned healthcare administrator within 5 minutes of feedback submission.

Dashboard provides historical data analytics to allow administrators to identify trends over time during quarterly reviews.

Given an administrator accesses the historical data section, when they select the date range for the last quarter, then the dashboard must provide visual representations of trends in patient feedback, including average satisfaction scores and identified issues, compared against previous quarters.

Healthcare administrators filter feedback data by department to target specific areas requiring attention.

Given an administrator selects a department filter on the dashboard, when they apply this filter, then the dashboard must update to display only the patient feedback related to the selected department, along with any corresponding alerts.

Dashboard allows administrators to track interventions made in response to patient feedback and their outcomes.

Given an administrator logs an intervention in response to a feedback alert, when they access the intervention tracking section, then the dashboard must show a list of logged interventions along with the corresponding feedback outcomes and satisfaction changes over time.

Visualization on the dashboard displays summaries of patient feedback responses to specific queries, such as service quality and wait times.

Given the dashboard is initialized, when displayed, then it must include a section for summarizing patient responses to predefined queries, represented in an easily digestible format, such as pie charts or bar graphs.

Actionable Insights Engine

A sophisticated analytics engine that processes collected feedback, highlighting trends, patterns, and specific areas needing improvement. This feature empowers healthcare administrators to make data-driven decisions that enhance overall patient care quality and operational efficiency.

Requirements

Trend Analysis Dashboard

User Story: As a healthcare administrator, I want to see visual representations of patient feedback trends over time so that I can better understand the effectiveness of our initiatives and make informed decisions for improvement.
Description: The Trend Analysis Dashboard is an interactive interface that visualizes long-term trends in collected feedback data. It allows healthcare administrators to quickly identify areas of concern and evaluate the effectiveness of implemented changes over time. This dashboard integrates seamlessly with CuraDesk's existing analytics suite, enhancing the ability of users to make informed decisions based on historical data. By highlighting upward or downward trends in patient metrics, this feature aims to foster a proactive approach in improving patient care quality and operational efficiency.
Acceptance Criteria: Administrator views the Trend Analysis Dashboard to monitor patient feedback over the past six months, aiming to identify any alarming trends in patient satisfaction scores.

Given the administrator logs into the system, when they navigate to the Trend Analysis Dashboard, then the dashboard must display a visual representation of patient feedback trends over the specified period with the capability to filter by different metrics.

Healthcare administrators regularly assess the effectiveness of changes they implemented based on previous feedback using the Trend Analysis Dashboard.

Given that changes have been made based on past patient feedback, when the administrator selects a specific date range on the dashboard, then the dashboard should show clear visual indicators (e.g., upward or downward arrows) reflecting changes in relevant metrics since the changes were made.

An administrator wants to generate a report on the trends displayed in the Trend Analysis Dashboard for board meetings.

Given that the administrator has accessed the Trend Analysis Dashboard, when they select the option to export the data, then the system must generate a downloadable report in PDF and CSV formats that includes all visualizations and data from the selected time frame.

New healthcare staff needs to understand how to effectively utilize the Trend Analysis Dashboard to make data-driven decisions.

Given new staff members have undergone training, when they access the Trend Analysis Dashboard, then they must be able to successfully complete a guided tutorial that explains the dashboard features and their significance in patient care optimization and operational efficiency.

The system needs to ensure data accuracy in the Trend Analysis Dashboard by validating the consistency of metrics displayed.

Given that the dashboard aggregates data from other modules, when the administrator reviews the dashboard metrics, then all figures must accurately match the data from the source modules without discrepancies.

An administrator desires real-time updates on emerging trends in patient data.

Given that the Trend Analysis Dashboard is designed for real-time data visualization, when patient feedback is entered into the system, then the dashboard should reflect updates within a maximum of 5 minutes for it to be considered real-time.

Automated Reporting

User Story: As a healthcare administrator, I want to receive automated reports on patient feedback so that I can stay updated on the quality of care without spending excessive time analyzing data manually.
Description: Automated Reporting allows healthcare administrators to generate insightful reports based on the collected feedback data without manual effort. This feature will compile relevant metrics, analyze data patterns, and provide actionable insights in a comprehensive report format. Integration with existing reporting tools in CuraDesk ensures that administrators can effortlessly generate reports on demand or on a scheduled basis. This automation significantly reduces the time spent on data analysis, enabling staff to focus more on patient care.
Acceptance Criteria: Automated generation of weekly patient care reports based on collected feedback data for hospital administrators.

Given the feedback data is collected, when an administrator requests a weekly report, then the system generates the report automatically without manual intervention and includes metrics related to patient care quality.

Integration of Automated Reporting with the existing reporting tools utilized within CuraDesk.

Given the need for report generation, when an administrator uses the reporting tool, then they should see an option to include insights from the Automated Reporting feature seamlessly in the report format.

Scheduled report generation for monthly operational efficiency analytics to assess trends over time.

Given the scheduled task for report generation is set, when the designated time is reached, then the system generates and sends the report via email to the specified recipients without administrative action.

Validation of actionable insights provided in the Automated Reporting against actual operational outcomes.

Given a generated report from the Automated Reporting feature, when the report is reviewed, then the insights must correlate with observed changes in patient care quality metrics over a defined period.

User access management for custom report generation restrictions based on administrative roles.

Given different user roles exist in the system, when an administrator with limited access attempts to generate a report, then they should receive a notification indicating insufficient permissions to access certain data.

Real-time data processing efficiency for immediate insights in a critical response situation within the hospital.

Given a critical incident occurs, when feedback data from that incident is processed, then the system should generate a report highlighting key metrics within 5 minutes for immediate review by administrators.

Customizable Alert System

User Story: As a healthcare administrator, I want to customize alert settings based on patient feedback metrics so that I can address issues promptly and improve overall patient care.
Description: The Customizable Alert System is a feature that allows healthcare administrators to set up notifications based on specific feedback trends or thresholds in patient care metrics. This system integrates with the Actionable Insights Engine, enabling alerts to be triggered when metrics surpass defined thresholds, ensuring that critical issues are addressed promptly. By providing real-time alerts, this functionality aids administrators in taking immediate action where required, thus enhancing patient outcomes and satisfaction.
Acceptance Criteria: Healthcare administrator sets up a notification in the Customizable Alert System based on a specific feedback trend related to patient care metrics.

Given a feedback trend indicating low patient satisfaction, when the healthcare administrator sets a threshold for alerts, then an email notification should be sent immediately once the threshold is crossed.

A live demonstration of the Customizable Alert System being triggered by real-time data input from the Actionable Insights Engine.

Given that patient care metrics are being monitored in real-time, when the metrics exceed the threshold defined by the administrator, then a real-time alert should be displayed on the dashboard and sent to the administrator's mobile device.

Reviewing the effectiveness of the alert system during a specific period to evaluate its impact on patient care quality.

Given a defined time frame of one month, when the alert system has been in operation, then an analysis report should show at least a 25% improvement in response times to patient care metrics that activated alerts.

Healthcare administrator modifies the alert settings to adapt to changing patient feedback trends.

Given an existing alert setup, when the healthcare administrator adjusts the threshold settings or notification channels, then the system should confirm the changes and update the alert parameters accordingly.

Testing the Customizable Alert System under various patient care scenarios to validate alert effectiveness and accuracy.

Given multiple simulated patient care scenarios, when alerts are triggered, then all alerts should be validated for accuracy, ensuring that they match the defined thresholds without false positives or negatives.

An administrator receives feedback on the alert system's usability after its implementation.

Given that the Customizable Alert System has been implemented, when users are surveyed for their experience, then at least 80% of users should report satisfaction with the ease of setting up and managing alerts.

Evaluating system performance and reliability of the alert system during peak operational times.

Given a scenario of peak hospital operations, when patient care metrics fluctuate rapidly, then the Customizable Alert System should maintain a 99% uptime and correctly trigger alerts without delay.

Feedback Categorization Engine

User Story: As a healthcare administrator, I want incoming patient feedback to be automatically categorized so that I can easily identify common themes and prioritize improvements effectively.
Description: The Feedback Categorization Engine automatically classifies and categorizes incoming patient feedback into defined themes or issues. This feature employs natural language processing to analyze comments and suggestions, directing them into actionable categories, making it easier for administrators to identify recurring themes or significant areas for improvement. The system’s integration with the existing patient feedback loop ensures efficient processing and actionable insights, thereby enhancing administrative decision-making.
Acceptance Criteria: Patient feedback is collected via multiple channels, including online surveys and in-person forms.

Given that new patient feedback is submitted through any of the channels, when the feedback is processed, then it should be categorized into defined themes or issues with 95% accuracy.

Healthcare administrators want to review categorized feedback weekly to identify areas in need of improvement.

Given that feedback has been categorized, when administrators access the feedback summary report, then they should see a clear breakdown of categories with trends and recurring themes over the past week.

A healthcare provider receives a significant amount of patient comments regarding long wait times.

Given that feedback related to long wait times is received, when the categorization engine processes the feedback, then it should flag this theme and notify the administrators with suggested actionable insights for improvement.

An administrator wants to assess the effectiveness of the Feedback Categorization Engine after a month of use.

Given that the Feedback Categorization Engine has been in use for one month, when an effectiveness review is conducted, then at least 80% of feedback should have been correctly categorized based on manual checks against the output.

Natural language processing is utilized to ensure accurate categorization of diverse patient feedback.

Given that various types of patient feedback are submitted, when the categorization engine processes the feedback, then it should successfully categorize feedback containing medical jargon, slang, and multilingual comments with 90% accuracy.

Integration with the existing patient feedback loop must be seamless to avoid delays in feedback processing.

Given that feedback is submitted, when it enters the system, then it should be automatically processed and categorized within 24 hours without any manual intervention.

The categorization engine is evaluated for scalability as patient feedback volume increases.

Given that the patient feedback volume has doubled, when the system processes this volume, then it should maintain operational efficiency and categorize at least 99% of feedback without performance degradation.

Interactive Drill-Down Analytics

User Story: As a healthcare administrator, I want to drill down into patient feedback data for deeper analysis so that I can uncover root causes and drive strategic improvements in care quality.
Description: Interactive Drill-Down Analytics provides healthcare administrators with the ability to explore deeper insights from aggregated data collected over time. By allowing users to click through metrics for a more detailed view, this feature supports a comprehensive understanding of complex datasets. The drill-down capability is essential for identifying the root causes of issues and helps facilitate data-driven discussions during strategic meetings, thus promoting a culture of continuous improvement.
Acceptance Criteria: Data Drill-Down Functionality for Patient Feedback Reports

Given a healthcare administrator is viewing the Patient Feedback Summary dashboard, when they click on a specific feedback metric, then they should be able to drill down to see individual patient responses and ratings that contribute to that metric.

Identifying Trends in Operational Efficiency Metrics

Given a healthcare administrator is analyzing operational efficiency metrics, when they apply a filter for a specific department and time frame, then they should receive an updated set of drill-down insights relevant to that context.

Root Cause Analysis for Patient Wait Times

Given a healthcare administrator has accessed the Wait Time Analytics dashboard, when they drill down into the wait time metric for a particular date, then they should be presented with contributing factors and detailed reports on unusual delays or patterns.

Interactive Comparison of Historical Data

Given a healthcare administrator is on the Historical Insights dashboard, when they select two different time periods for comparison, then the drill-down analytics should allow them to explore differences in metrics for both periods side-by-side.

Cross-Departmental Insights for Strategic Meetings

Given a healthcare administrator is preparing for a strategic meeting, when they access the drill-down analytics feature, then they should be able to gather and present insights from multiple departments to support data-driven discussions.

Customization of Drill-Down Views

Given a healthcare administrator is using the Interactive Drill-Down feature, when they customize their view by selecting specific metrics and visualizations, then their settings should be saved for future sessions, retaining personalized preferences for insight exploration.

Custom Feedback Templates

The ability to create and customize feedback forms tailored to specific departments or services. This flexibility allows healthcare providers to address particular aspects of care more effectively, leading to more relevant insights and targeted operational adjustments.

Requirements

Custom Feedback Creation

User Story: As a healthcare administrator, I want to create custom feedback templates so that I can gather more relevant insights about specific departments or services and improve patient care effectively.
Description: This requirement focuses on allowing users to create custom feedback templates with fields that can be tailored to specific departments or services. Users will have the capability to define the types of questions, response formats (such as multiple-choice, open-ended, or numerical rating), and even conditional logic that displays questions based on prior answers. This functionality is vital to ensure that healthcare providers gather pertinent feedback that can drive operational improvements. Integrating this feature with existing user management systems will allow for seamless roll-out across various departments, ensuring that every aspect of patient care is assessed.
Acceptance Criteria: Users can create a custom feedback template for the 'Emergency Department' to gather input on patient wait times and staff interaction.

Given the user is logged into the CuraDesk platform, when they navigate to the 'Feedback Templates' section and select 'Create New Template', then they should be able to add questions related to wait times using multiple-choice and open-ended formats, and save the template successfully.

Healthcare administrators want to customize feedback questions for the 'Maternity Ward' to evaluate patient satisfaction with services.

Given the user selects the 'Maternity Ward' template option, when they create a question regarding satisfaction with care staff and choose a response format, then the system must allow them to select between multiple-choice and numerical rating formats for responses.

A user wishes to utilize conditional logic in the feedback template to tailor questions based on prior responses, specifically for the 'Surgical Department'.

Given the user is editing an existing feedback template for the 'Surgical Department', when they add a question about pain management that has a conditional follow-up question depending on the response, then the system must display the follow-up question only when the answer indicates a certain level of pain.

The user wants to integrate the custom feedback templates with the existing user management systems to ensure correct distribution across departments.

Given the user has created a feedback template, when they proceed to assign the template to a specific department and submit, then the system must automatically associate the template with the relevant department's user list for distribution.

Healthcare providers need to ensure that feedback forms can be accessed and filled out on mobile devices by patients post-visit.

Given the feedback template has been published, when a patient accesses the CuraDesk mobile application and selects the feedback section, then they should be able to view and complete the relevant feedback form in a mobile-friendly format.

Feedback Distribution Options

User Story: As a healthcare provider, I want to distribute feedback surveys via different channels so that patients can respond in their preferred method, increasing participation and feedback quality.
Description: The requirement entails implementing multiple distribution channels for the feedback forms, enabling administrators to send surveys via email, SMS, or through the CuraDesk patient portal. This flexibility ensures that feedback can be collected from patients in ways that suit their preferences, thereby increasing response rates. Additionally, the system must track which method was used for each patient, allowing for better analysis of which distribution method is most effective. This integration will enhance user engagement and provide richer data for healthcare improvement strategies.
Acceptance Criteria: Sending feedback forms to patients via email.

Given the administrator selects an email distribution option, when they input patient details and customize the feedback form, then the feedback form should be successfully sent to the patient's email and confirmation of dispatch should be logged in the system.

Distributing feedback forms through SMS.

Given the administrator chooses the SMS distribution method, when they enter the patient's phone number and customize the feedback form, then the feedback form should be sent as an SMS and the system should track the delivery status of the message.

Utilizing the CuraDesk patient portal for feedback distribution.

Given the administrator selects the CuraDesk patient portal for feedback distribution, when they assign feedback forms to specific patients, then patients should receive notifications in their portal and the system should confirm that the feedback forms have been made available.

Tracking distribution methods for feedback collection.

Given feedback forms have been sent, when the administrator views the feedback analytics dashboard, then they should see a clear breakdown of response rates by distribution method (email, SMS, portal) with percentage metrics for each channel.

Collecting feedback and providing reminders for responses.

Given feedback forms have been distributed via any method, when a patient does not respond within 48 hours, then the system should automatically send a reminder through the same distribution channel, and the reminder should be logged in the system.

Analyzing effectiveness of distribution channels over time.

Given multiple feedback distributions have been executed, when the administrator opts to run a report on feedback effectiveness, then the report should include insights on the response rates, average feedback scores, and completion times categorized by distribution method.

Ensuring data privacy during feedback collection.

Given feedback forms are sent to patients, when patients complete the forms, then their responses should be securely stored in compliance with healthcare regulations (e.g., HIPAA), ensuring no unauthorized access to the data.

Real-Time Feedback Analytics

User Story: As a healthcare administrator, I want to access real-time analytics of feedback so that I can quickly identify trends and implement improvements in patient care.
Description: This requirement involves the implementation of analytics tools that provide real-time insights from the collected feedback. Once submissions are received, administrators should be able to view aggregated data visualizations highlighting trends over time, satisfaction scores, and areas needing improvement. This analytical capability empowers healthcare administrators to make swift and informed decisions that can enhance patient care services. Furthermore, alerts for unfavorable feedback trends should be established to inform relevant stakeholders instantly.
Acceptance Criteria: Viewing Real-Time Feedback Analytics Dashboard

Given an administrator is logged into the CuraDesk platform, when they navigate to the feedback analytics section, then they should see a dashboard displaying real-time feedback submissions with visualizations of trends, satisfaction scores, and identified areas needing improvement.

Receiving Alerts for Negative Feedback Trends

Given an administrator has configured the alert settings, when negative feedback trends occur, then the system should automatically send alerts via email to the relevant stakeholders in real-time.

Generating Feedback Reports

Given an administrator wishes to analyze past feedback data, when they select a date range and department, then the system should generate a comprehensive report highlighting key metrics and insights.

Customizing Feedback Templates

Given an administrator is creating a feedback form, when they access the feedback template customization feature, then they should be able to add, remove, or modify questions to better fit specific departmental needs.

Understanding User Satisfaction Scores

Given feedback data has been collected, when an administrator views the analytics section, then they should see a breakdown of user satisfaction scores categorized by department and service, along with visual trends over time.

Utilizing Feedback for Operational Adjustments

Given that feedback insights are available, when an administrator reviews the analytics, then they should be able to identify at least three actionable operational adjustments that can enhance patient care.

Evaluating Feedback Submission Trends Over Time

Given that feedback has been collected over multiple periods, when an administrator views the historical data, then they should see visual representations indicating positive or negative trends in patient feedback submissions over time.

Multi-Language Support for Feedback Forms

User Story: As a hospital administrator, I want to create feedback forms in multiple languages so that I can ensure all patients can participate in the feedback process, regardless of their primary language.
Description: This requirement aims to develop the capability for users to create feedback templates in multiple languages, catering to diverse patient populations. By allowing the forms to be available in various languages, the healthcare facility ensures all patients can provide feedback comfortably, which can lead to more inclusive and comprehensive insights. The technical implementation will involve localization features and the ability for users to toggle between languages easily, promoting equitable access to the feedback collection process.
Acceptance Criteria: User creates a feedback template for a hospital department in Spanish.

Given the user is logged in to the CuraDesk platform, when they select the option to create a new feedback template and choose Spanish as the language, then the feedback form is displayed in Spanish with all form fields correctly translated.

Healthcare administrator switches between English and French feedback templates.

Given the user has created a feedback template in both English and French, when they toggle the language setting from English to French, then the feedback form updates to display in French without losing any inputted data.

Patient fills out a feedback form in their preferred language during discharge.

Given a patient is being discharged and has the option to fill out a feedback form, when they select their preferred language (e.g., German), then the feedback form is displayed in German with all prompts and instructions clearly translated.

User manages feedback templates in multiple languages from the dashboard.

Given the user accesses the dashboard where all feedback templates are listed, when they view the list, then they can see the language of each template clearly indicated next to its title.

An administrator reviews feedback responses in different languages.

Given the administrator is reviewing feedback responses collected from patients, when they select a response from a template in a different language (e.g., Italian), then they can view and understand the response correctly because it is displayed with appropriate context and translation tools enabled.

System administrators enable and disable language options for feedback templates.

Given that a system administrator is logged into the backend of CuraDesk, when they try to enable or disable a language option for feedback forms, then the corresponding language is reflected in the user interface immediately after selection.

Integration with EHR Systems

User Story: As a healthcare provider, I want to integrate feedback templates with EHR systems so that I can correlate patient feedback with their medical history and care episodes for improved insights.
Description: This requirement encompasses the integration of the custom feedback templates with existing Electronic Health Record (EHR) systems to allow seamless data transfer. By linking the feedback collection process with patient records, healthcare providers can track feedback in relation to individual patient care episodes, enhancing the context and specificity of the feedback received. This integration is crucial for developing a holistic view of patient experiences and outcomes, directly influencing quality improvement initiatives across the hospital.
Acceptance Criteria: Integration of Custom Feedback Templates with EHR Systems for Patient Feedback Collection

Given that I have created a custom feedback template, When I submit the feedback for a specific patient through the EHR system, Then the feedback should be accurately recorded in the patient's EHR without any data loss.

Real-Time Sync of Patient Feedback into EHR Records

Given that a feedback submission has been made for a patient, When I check the patient's EHR records, Then I should see the submitted feedback reflected in real-time within 5 minutes of submission.

Department-Specific Customization of Feedback Templates

Given that I am a department head, When I customize the feedback template for my department, Then the template should only show questions relevant to my department's specialties and services.

Automated Alerts for Feedback Submission in EHR

Given that a feedback form has been submitted for a patient, When I check the EHR system, Then I should receive an automated alert indicating that new feedback is available for review within the patient's record.

User Permissions for Feedback Template Creation

Given that I am an authorized healthcare provider, When I attempt to create a new custom feedback template, Then I should be able to adjust and save the template based on my role's permissions.

Compliance with Data Privacy Regulations in Feedback Collection

Given that feedback data is being collected, When I analyze the feedback collection process, Then all data handling should comply with relevant healthcare regulations (e.g., HIPAA).

Patient Satisfaction Scorecard

An easy-to-read dashboard that displays key performance indicators related to patient feedback, such as satisfaction scores, response rates, and feedback trends over time. This visual representation helps healthcare providers track progress, set goals, and implement changes that improve patient experiences.

Requirements

Real-time Feedback Collection

User Story: As a healthcare administrator, I want to collect real-time feedback from patients so that I can quickly address issues and enhance patient satisfaction.
Description: Develop a module that enables healthcare providers to gather patient feedback in real-time, immediately after services are rendered. This will encompass automated prompts for feedback via SMS or email, ensuring easy access for patients to share their experiences. The module will interface with the existing patient management system to ensure that the feedback collected is automatically reflected in the Patient Satisfaction Scorecard metrics, which allows administrators to track satisfaction levels promptly and make necessary adjustments. This functionality aims to increase response rates and provide a continuous flow of data regarding patient experiences, ultimately leading to improved patient care and engagement.
Acceptance Criteria: Patient submits feedback immediately after a hospital visit through an SMS prompt.

Given a patient has completed their hospital visit, when they receive an SMS prompting for feedback, then they should be able to submit their feedback successfully within 5 minutes of receiving the prompt.

Feedback received through email prompts is displayed in real-time on the Patient Satisfaction Scorecard.

Given feedback is collected via email, when the feedback is submitted, then it should automatically update the relevant metrics on the Patient Satisfaction Scorecard within 1 minute.

Healthcare administrators view feedback trend reports over a specified period based on real-time data.

Given the Patient Satisfaction Scorecard displays trends, when an administrator selects a date range, then they should see the trends reflecting patient feedback accurately for that period.

Patients are reminded to provide feedback through automated SMS after treatment if they have not already submitted it.

Given a patient visited the hospital, when they have not provided feedback within 24 hours, then an automated SMS reminder should be sent to them, encouraging feedback submission.

Patients report a high level of satisfaction with the feedback collection process.

Given patients are receiving feedback prompts, when surveyed about their experience with the feedback process, then 80% or more should indicate they found it easy and convenient to provide their feedback.

The feedback collection module integrates seamlessly with existing patient management systems.

Given the feedback module is in use, when feedback is submitted, then the information must be accurately reflected in the patient management system without any discrepancies.

Healthcare providers utilize feedback for improving patient care strategies based on real-time data.

Given real-time feedback is collected, when healthcare providers access the data, then they must see actionable insights that help them improve patient care within 48 hours of feedback receipt.

Visual Trend Analysis

User Story: As a healthcare provider, I want to see visual trends in patient satisfaction scores so that I can identify areas needing improvement and allocate resources effectively.
Description: Implement visual analytics features that allow users to see trends in patient satisfaction scores over time, with the ability to filter by different criteria such as department, service type, or time period. This visualization will enable healthcare providers to identify patterns and correlations in patient feedback, assisting them in making informed decisions regarding where to allocate resources and how to implement service improvements. Providing users with dynamic, interactive charts and graphs will facilitate a more intuitive understanding of data, supporting data-driven approaches to enhancing patient experiences.
Acceptance Criteria: User accesses the Patient Satisfaction Scorecard and selects the Visual Trend Analysis feature to view patient satisfaction scores over the past year.

Given the user is on the Patient Satisfaction Scorecard, when they select the Visual Trend Analysis option, then a dynamic chart showing patient satisfaction trends over the past year should be displayed, with the ability to filter by department and service type.

A healthcare provider wishes to analyze monthly patient feedback trends for the cardiology department using the Visual Trend Analysis feature.

Given the healthcare provider is on the Visual Trend Analysis page, when they filter the data by 'Cardiology' and select 'Last 6 Months', then the chart should update to show only data pertinent to the cardiology department for that specific time period.

An administrator wants to assess the overall patient satisfaction trend for the hospital for the past two years and identify any significant patterns.

Given the administrator is viewing the Visual Trend Analysis, when they set the date filter to 'Last 2 Years', then a line graph displaying the overall patient satisfaction scores should appear, highlighting any significant drops or increases in satisfaction.

A user aims to understand the impact of a new service implemented in June on patient satisfaction scores through the Visual Trend Analysis.

Given the user has selected the month of June in the filter options, when the data is aggregated, then the chart must mark the scores for June distinctly to illustrate any changes during that month compared to previous months.

A healthcare team wishes to share a report on patient satisfaction trends with hospital management during a quarterly review.

Given the user is on the Visual Trend Analysis dashboard, when they select the 'Export' function, then they should be able to download the visual analysis in PDF format, including all applied filters and data points.

A data analyst needs to identify the correlation between service types and patient satisfaction ratings over the last year.

Given the analyst is viewing the Visual Trend Analysis, when they include service type as a filtering criterion, then the visual representation should allow comparison across different service types simultaneously, displaying the correlation effectively.

Customizable Scorecard

User Story: As a healthcare administrator, I want to customize my scorecard to display metrics that are most relevant to my department so that I can effectively track performance against specific goals.
Description: Create an adaptable scorecard that allows users to customize the key performance indicators displayed based on their specific priorities or departmental needs. Users should be able to select which metrics are most relevant to their practice areas, such as cleanliness, staff responsiveness, or treatment effectiveness. This feature will promote better focus and allow providers to tailor the scorecard interface to their operational goals, making it easier for them to monitor and meet their performance benchmarks.
Acceptance Criteria: Customizing Key Performance Indicators for Patient Satisfaction

Given a healthcare administrator is logged into their CuraDesk account, when they access the customizable scorecard, then they should be able to select from at least 5 different key performance indicators to display on their scorecard interface.

Saving Customized Scorecard Settings

Given a healthcare administrator has customized their scorecard by selecting specific key performance indicators, when they save their changes, then the scorecard should retain the selected indicators for future sessions without requiring re-configuration.

Viewing Selected Metrics on the Scorecard

Given a healthcare administrator has saved their customized scorecard settings, when they navigate back to the scorecard, then it should display only the selected key performance indicators as per their customization.

Updating Key Performance Indicators on the Scorecard

Given a healthcare administrator is viewing their customized scorecard, when they change the selected key performance indicators, then the updated selections should be saved immediately and reflected on the scorecard.

Visual Representation of Feedback Trends Over Time

Given a healthcare administrator is viewing the customized scorecard, when they select the feedback trend metric, then the scorecard should display a visual graph depicting feedback trends over a minimum of the past 6 months.

User Access Levels and Customization Permissions

Given a user with restricted access attempts to customize the scorecard, when they try to access the customization settings, then they should receive a notification indicating that customization is not permitted based on their user role.

Setting Performance Benchmarks for Indicators

Given a healthcare administrator is using the customizable scorecard, when they set performance benchmarks for their selected indicators, then the system should allow them to save these benchmarks and provide visual feedback on performance against those benchmarks.

Automated Reporting System

User Story: As a healthcare quality manager, I want automated reports on patient feedback so that I can quickly share insights with my team and implement necessary changes.
Description: Develop an automated reporting system that compiles patient feedback data into comprehensive reports at set intervals (daily, weekly, or monthly). These reports will summarize key findings, highlight trends, and provide actionable recommendations for improvement based on patient responses. This system aims to alleviate the manual work associated with feedback analysis, allowing healthcare providers to focus more on patient care instead of data compilation. It is essential for maintaining an informed approach to quality improvement and will help in preparing for meetings with stakeholders about patient care quality.
Acceptance Criteria: Automated Patient Feedback Report Generation Frequency

Given the automated reporting system is implemented, when the specified reporting interval is set to daily, then the system should generate a complete report every 24 hours without manual intervention.

Content Accuracy in Patient Feedback Reports

Given that the automated reporting system has compiled the patient feedback data, when the report is reviewed, then all satisfaction scores, response rates, and feedback trends must accurately reflect the input data within a 98% accuracy threshold.

User Notification of Report Availability

Given that a report has been generated, when a report is created, then the system should automatically notify relevant users via email within 5 minutes of report generation.

Customizable Report Format

Given that the automated reporting system is functional, when a user selects the report format preference, then the report should be generated in the selected format (PDF, Excel, etc.) without errors.

User Accessibility to Historical Reports

Given that reports have been generated, when a user accesses the reporting system, then they must be able to view and download any historical report from the past 6 months with ease.

Actionable Recommendations in Reports

Given that the patient feedback report has been generated, when the report is read, then it should include at least three actionable recommendations based on the trends identified in the feedback data.

Integration with Stakeholder Presentation Tools

Given that a report is finalized, when the report is selected for export, then it should be exportable to common presentation tools (e.g., PowerPoint, Google Slides) without loss of data formatting.

Integration with EMR/EHR Systems

User Story: As a clinician, I want to integrate patient feedback with EMR/EHR systems so that I can consider both clinical data and patient satisfaction in my decision-making.
Description: Ensure seamless integration with existing Electronic Medical Records (EMR) or Electronic Health Records (EHR) systems to streamline data flow and enhance the overall utility of patient feedback. This integration will allow patient satisfaction metrics to be viewed in conjunction with clinical data, enabling healthcare providers to see the complete picture of patient interaction. It is imperative for ensuring that insights from patient feedback can directly inform clinical practices and lead to improved patient outcomes and holistic care approaches.
Acceptance Criteria: Integration of Patient Satisfaction Metrics with EMR/EHR Systems

Given that the system is integrated with EMR/EHR, when a new patient satisfaction score is recorded, then it should be automatically reflected in the patient's electronic record within 5 seconds.

User Access and Permissions for EMR/EHR Integration

Given that a healthcare administrator is logged into CuraDesk, when they attempt to access the integrated patient feedback data, then they should have the appropriate permissions based on their role to access data. Unauthorized users should receive an access denied message.

Real-Time Updates of Patient Satisfaction Scores

Given that a patient submits feedback, when the submission is processed, then the Patient Satisfaction Scorecard should update in real-time to reflect the new score and any changes in trends.

Data Accuracy Between EMR/EHR and Patient Satisfaction Metrics

Given that patient satisfaction data is pulled from EMR/EHR, when comparing the displayed satisfaction scores to the original feedback database, then the scores should match exactly, indicating accurate data integration.

Reporting Capabilities for Patient Satisfaction Data

Given that the patient satisfaction scorecard is utilized, when the healthcare provider generates a report, then the report should include satisfaction scores, response rates, and trends over a selected period without any missing data.

Feedback Trend Analysis Over Time

Given that multiple feedback submissions have been recorded, when the user views the trends on the scorecard, then the trend analysis should show a clear visual representation of satisfaction changes over a selected timeframe.

Data Privacy Compliance Features

User Story: As a healthcare compliance officer, I want to ensure that all patient feedback is collected in compliance with privacy regulations so that I can protect patient data and adhere to legal requirements.
Description: Implement robust data privacy compliance features to ensure that all collected patient feedback adheres to HIPAA and other relevant regulations. This feature will include anonymization options for patient responses and ensure secure data storage and handling processes. It is crucial for maintaining patient trust and for the legal and compliance responsibilities of healthcare institutions. Compliance features will be transparently communicated to users within the application to reinforce the integrity of the patient feedback collection process.
Acceptance Criteria: Patient feedback data entry and storage complies with HIPAA regulations.

Given that a healthcare administrator enters patient feedback data, when the data is submitted, then the system must anonymize and securely store the data in compliance with HIPAA regulations, preventing any identifiable information from being recorded.

Generation of patient satisfaction scorecards based on compliant data.

Given that the patient feedback data has been collected and stored securely, when a healthcare provider accesses the patient satisfaction scorecard, then the scorecard must only display aggregated feedback with no identifiable patient information.

User notification regarding data privacy compliance features in the application.

Given that a healthcare provider accesses the application, when they navigate to the data privacy section, then clear information about data compliance features and privacy practices must be presented in a user-friendly manner.

Auditing of data privacy compliance measures implemented in the system.

Given that the system is operational, when an internal audit is conducted, then a report must demonstrate that all patient feedback data handling processes comply with HIPAA and relevant regulations, including roles assigned for secure data management.

User access controls for patient feedback data.

Given that a healthcare administrator manages user roles, when a new user is added to the system, then the administrator must be able to assign role-based access controls that restrict access to patient feedback data in accordance with data privacy regulations.

Training healthcare staff on data privacy practices related to patient feedback.

Given that a new healthcare staff member is onboarded, when they complete the training program on data privacy practices, then they must demonstrate understanding by passing a knowledge assessment on HIPAA compliance and patient data handling procedures.

Accessibility of data privacy compliance information for patients.

Given that a patient visits the hospital's website, when they seek information regarding their feedback data privacy, then clear, accessible documentation explaining compliance with HIPAA and how their feedback is protected must be available online.

Follow-Up Engagement Tracker

A feature that monitors patient engagement with follow-up communications after feedback is collected. By tracking whether and how patients respond to follow-up inquiries, healthcare administrators can assess the effectiveness of their improvement initiatives and ensure continued patient involvement.

Requirements

Patient Feedback Integration

User Story: As a healthcare administrator, I want to integrate a patient feedback system into our hospital management platform so that we can effectively monitor and respond to patient concerns, ensuring continuous improvement in service quality.
Description: This requirement involves integrating a system for collecting and managing patient feedback systematically. The integration must ensure that feedback is linked to patients' medical records and follow-up communications, making it easy for healthcare administrators to analyze the data. This capability will enhance engagement by allowing for timely responses to patient concerns and improvements in service delivery based on their feedback. The successful implementation will lead to a more efficient feedback loop and improve overall patient satisfaction.
Acceptance Criteria: Patient submits feedback through the online portal after a recent medical visit and receives timely follow-up communications from the healthcare administrator.

Given that a patient has submitted feedback through the online portal, When the healthcare administrator sends a follow-up communication, Then the feedback is linked to the patient's medical record and the patient receives acknowledgment of their feedback within 24 hours.

Healthcare administrator utilizes the Follow-Up Engagement Tracker to monitor patient responses to follow-up communications about their feedback.

Given that follow-up communications have been sent, When the healthcare administrator reviews the Follow-Up Engagement Tracker, Then the system displays a report showing response rates and engagement levels for each patient within one week of outreach.

Patient engages with the follow-up communication by providing additional comments or confirming satisfaction with the resolution of their feedback.

Given that a patient has received a follow-up communication, When the patient responds with additional comments, Then the system automatically logs the response under the patient's record and alerts the administrator for review.

Administrator analyzes patient feedback data to identify trends and improve service delivery based on patient responses and engagement levels.

Given that patient feedback has been collected, When the administrator generates a report on patient feedback trends, Then the report includes at least three actionable insights based on patient responses and is generated within 48 hours of request.

A patient revisits their feedback history and can see the outcomes of their feedback as well as follow-up actions taken by the healthcare facility.

Given that a patient has accessed their feedback history, When the patient views the feedback log, Then it displays all past feedback, responses from the facility, and actions taken within an easily navigable interface.

A healthcare administrator needs to ensure that no feedback goes unaddressed and can track outstanding follow-ups efficiently.

Given that feedback has been collected, When the administrator reviews the feedback dashboard, Then the system highlights any feedback that has not received follow-up communication within 72 hours, allowing the administrator to prioritize responses.

Engagement Metrics Dashboard

User Story: As a healthcare administrator, I want to have an engagement metrics dashboard that visually represents patient responses to follow-ups so that I can identify trends and adjust our engagement strategies accordingly.
Description: This requirement focuses on creating a dashboard that visualizes patient engagement metrics following follow-up communications. The dashboard will aggregate data from responses to follow-up inquiries, allowing administrators to see trends in patient engagement over time. It is essential for assessing the effectiveness of follow-up strategies and understanding patient behavior. The dashboard should feature easy-to-understand graphs and charts, enabling quick interpretation and data-driven decisions to enhance patient involvement and care improvement initiatives.
Acceptance Criteria: Patient Engagement Metrics Over Time Analysis

Given that I am logged into the Engagement Metrics Dashboard, when I select a specific time frame for data analysis (e.g., last week, last month), then the dashboard displays accurate engagement metrics such as response rates, engagement trends, and patient feedback scores for that time frame.

Visual Representation of Engagement Data

Given the Engagement Metrics Dashboard is open, when I view the dashboard, then the patient engagement metrics are presented in clear and easy-to-understand graphs and charts, with appropriate legends and titles indicating the data represented.

Filter Engagement Data by Patient Demographics

Given that I am on the Engagement Metrics Dashboard, when I apply filters based on patient demographics (age, gender, location), then the dashboard should update to display engagement metrics relevant to the selected demographic group.

Export Engagement Data

Given I am using the Engagement Metrics Dashboard, when I select the option to export data, then the dashboard allows me to download engagement metrics in a standard format (CSV, PDF) without data loss or errors.

Real-time Data Updates

Given that patients have responded to follow-up inquiries, when I refresh the Engagement Metrics Dashboard, then the dashboard displays the most current engagement data in real-time without requiring a page reload.

Accessibility Compliance for Dashboard

Given that I am accessing the Engagement Metrics Dashboard, when I use assistive technologies, then all interactive elements of the dashboard are fully accessible, conforming to WCAG 2.1 Level AA standards.

User Role Permissions for Dashboard Access

Given that I am logged into the CuraDesk system, when I attempt to access the Engagement Metrics Dashboard, then my ability to view and interact with the dashboard is determined by my user role, ensuring that only authorized personnel can access sensitive data.

Automated Reminder System

User Story: As a healthcare administrator, I want an automated reminder system for follow-up communications so that I can ensure consistent outreach to patients and improve engagement levels with our feedback process.
Description: This requirement entails developing an automated reminder system that triggers follow-up communications based on specific timelines after feedback collection. The system should be customizable, allowing administrators to set different follow-up intervals based on the type of feedback received. By automating these reminders, we will increase the likelihood of patient engagement and responses while reducing administrative workload. This feature will ensure that no feedback goes unaddressed, streamlining the follow-up process considerably.
Acceptance Criteria: Automated follow-up reminder for feedback collection after patient discharge.

Given a patient has provided feedback, when the feedback is received, then an automated reminder should be sent to the patient after 7 days if there is no response.

Customizable follow-up intervals for different types of feedback.

Given an administrator selects a feedback type, when setting follow-up reminders, then the system should allow the administrator to set custom intervals ranging from 1 to 30 days.

Tracking engagement with follow-up communications.

Given a patient receives a follow-up reminder, when the patient responds, then the system should log the response and update the engagement status accordingly.

Monitoring effectiveness of follow-up reminders.

Given automated reminders are sent, when analyzing engagement data for the last 3 months, then the system should display metrics indicating the response rates per feedback type.

User-friendly interface for managing follow-up reminders.

Given the administrator is on the reminder management page, when they view the follow-up settings, then the interface should provide clear options for editing, adding, or deleting reminders.

Automatic escalation for non-responses.

Given a follow-up reminder has been sent, when a patient does not respond within 14 days, then the system should trigger an escalation alert to the healthcare administrator.

Follow-Up Communication Logging

User Story: As a healthcare administrator, I want to have a logging mechanism for all follow-up communications so that I can track interactions with patients and analyze their impact on engagement and care improvements.
Description: This requirement involves implementing a logging mechanism to document all follow-up communications sent to patients post-feedback. This log should include details such as the communication method (e.g., email, phone call), date sent, and patient responses. This feature is crucial for keeping track of interactions and assessing the relationship between follow-ups and patient engagement. It provides a historical perspective that can guide future communication strategies and help evaluate the effectiveness of follow-up efforts.
Acceptance Criteria: Logging Follow-Up Communications Post-Feedback Collection

Given a patient has provided feedback, when a follow-up communication is sent, then the log must include the patient's details, communication method, date sent, and any response received.

Verification of Communication Methodality

Given that a follow-up communication is sent via email or phone, when the log is accessed, then it should accurately reflect the communication method used.

Response Tracking from Patients

Given that a follow-up inquiry is sent to a patient, when the patient responds, then the log must capture and display the response, including the date and time of the response.

Accessibility of the Follow-Up Log

Given a healthcare administrator is logged into the CuraDesk platform, when they navigate to the follow-up engagement section, then they should be able to view the complete log of follow-up communications.

Historical Perspective of Follow-Ups

Given multiple follow-up communications have been logged, when a report is generated, then it should provide an analysis of patient engagement trends over time, including response rates to different communication methods.

Integration with Patient Engagement Metrics

Given that follow-up communication logs are maintained, when the healthcare administrator evaluates patient engagement initiatives, then they should see direct correlations between follow-up activity and patient response rates.

Feedback Summary Reports

User Story: As a healthcare administrator, I want to generate summary reports of patient feedback and follow-up engagement metrics so that I can assess the effectiveness of our initiatives and identify areas for improvement.
Description: This requirement entails creating a reporting tool that compiles summarized reports of patient feedback and their follow-up engagement. The reports should include metrics such as response rates, common themes in feedback, and engagement outcomes. This feature will enable healthcare administrators to assess the overall performance of their follow-up strategies and evaluate areas that require enhancements. By having access to this summarized data regularly, decision-makers can drive strategic improvements in healthcare services efficiently.
Acceptance Criteria: Patient Feedback Report Generation for Monthly Review

Given that a healthcare administrator selects the 'Generate Feedback Summary Report' option, when the administrator specifies the date range for the report, then the system should compile and display a summary report that includes response rates, common feedback themes, and engagement outcomes for the specified period correctly.

Exporting Feedback Summary Reports

Given that the healthcare administrator has generated a Feedback Summary Report, when the administrator selects the 'Export' option, then the system should allow the report to be exported in PDF and CSV formats without data loss or format issues.

Displaying Feedback Metrics on Dashboard

Given that the healthcare administrator accesses the dashboard, when the dashboard loads, then the system should display real-time metrics such as average response rates and engagement outcomes clearly and accurately on the dashboard.

Automated Notification for Low Engagement Scores

Given that the Feedback Summary Report is generated, when the report indicates a response rate below a defined threshold, then the system should automatically notify the healthcare administrator via email about the low engagement score.

Visualization of Feedback Trends Over Time

Given that a healthcare administrator wants to analyze feedback trends, when the administrator selects a time period, then the system should provide visual graphs showing trends in response rates and common feedback themes over that period.

User Access Levels for Viewing Reports

Given that multiple users are involved in healthcare administration, when a user attempts to access the Feedback Summary Report, then the system should verify the user's access level and only grant visibility to those with the appropriate permissions.

Health Data Synchronization

This feature allows seamless synchronization of health data from various mobile health apps directly into the CuraDesk platform. By enabling real-time data sharing, patients can ensure that their healthcare providers have the most up-to-date information about their health conditions, enhancing communication and fostering proactive care.

Requirements

Real-Time Data Integration

User Story: As a healthcare provider, I want to receive real-time health data from my patients' mobile health apps so that I can monitor their conditions more effectively and provide timely interventions when necessary.
Description: The Real-Time Data Integration requirement focuses on building a robust framework that allows for the seamless synchronization of health data from various mobile health applications into the CuraDesk platform. This integration will ensure that patient information is continuously updated and reflects real-world data, including vital signs, medication schedules, and activity levels. By facilitating this real-time data flow, healthcare providers can access the most current patient information, leading to informed decision-making and timely interventions. The implementation will involve establishing secure APIs for data exchange, ensuring compliance with healthcare regulations, and maintaining user privacy. Overall, this requirement enhances the communication between patients and healthcare providers, fostering a proactive approach to patient care and improving health outcomes.
Acceptance Criteria: Patient shares health data from a mobile app with healthcare providers through CuraDesk.

Given a patient has health data stored in a mobile health app, when they choose to sync that data with CuraDesk, then the data should be successfully imported and displayed in their patient profile within 2 minutes.

Healthcare providers access the patient's synchronized health data during a consultation.

Given that the patient's health data has been synchronized with CuraDesk, when a healthcare provider accesses the patient's profile, then they should see the latest health data reflected in real-time, including vital signs and medication schedules.

System handles errors in data synchronization from a mobile health app.

Given a mobile health app experiences a temporary connection issue, when the patient attempts to sync their data, then a user-friendly error message should be displayed, and the system should retry synchronization automatically after 5 minutes.

Compliance with healthcare regulations during data synchronization.

Given that health data is being synchronized, when data is transmitted from the mobile health app to CuraDesk, then it must comply with HIPAA regulations and include appropriate encryption measures.

Audit trail of data synchronization between mobile health apps and CuraDesk.

Given that health data has been synchronized, when accessing the patient's profile, then an audit log should be available displaying the time, source app, and type of data synchronized to ensure transparency.

User privacy settings management for health data synchronization.

Given a patient accesses their privacy settings in CuraDesk, when they opt-out of data sharing, then all future data synchronization attempts from mobile health apps should be blocked, and they should receive a confirmation of the change in settings.

Real-time notification of successful data synchronization to patients.

Given that a patient's health data has been successfully synchronized with CuraDesk, when the synchronization is complete, then the patient should receive a notification via the CuraDesk app confirming the successful update of their health information.

Data Privacy Compliance

User Story: As a patient, I want to know that my health data is protected and only shared with authorized providers, so that I can trust the system and feel secure about my information.
Description: The Data Privacy Compliance requirement aims to ensure that all synchronized health data adheres to relevant data protection regulations, such as HIPAA or GDPR. This requirement will necessitate the implementation of stringent security measures to protect patient information during data transfer and storage. It will include user consent mechanisms, encryption protocols, and the ability for users to manage their data sharing preferences. By prioritizing data privacy, CuraDesk enhances trust between patients and healthcare providers, creating a secure environment for health data management. Implementation of this requirement will involve assessment of current data-handling practices, integration of necessary security protocols, and employee training on compliance measures, ensuring that patient information remains confidential and secure.
Acceptance Criteria: User Consent Management for Health Data Synchronization

Given a patient is using the CuraDesk platform, when they connect a mobile health app, then they must be presented with a user consent form outlining how their data will be used, and they must explicitly agree to the terms before any synchronization occurs.

Data Encryption during Transmission

Given that a patient’s health data is synchronized from a mobile health app to the CuraDesk platform, when the data transfer occurs, then it must be encrypted using industry-standard encryption protocols to ensure data security during transmission.

Data Access Management for Healthcare Providers

Given a healthcare provider is assigned to a patient in the CuraDesk system, when the patient synchronizes their health data, then the provider should only have access to the data they are authorized to view based on the patient’s consent settings.

User Data Sharing Preferences

Given a patient has health data synchronized in the CuraDesk platform, when the patient accesses their account settings, then they must be able to view and modify their data sharing preferences, including which healthcare providers can access their data.

Audit Trail for Data Access and Changes

Given that health data is synchronized and accessed within the CuraDesk platform, when any user accesses or modifies patient health data, then the system must log this action in an audit trail including the timestamp, user ID, and the type of action taken.

Compliance with HIPAA and GDPR Regulations

Given that CuraDesk is processing health data, when the data synchronization feature is implemented, then it must comply with all relevant HIPAA and GDPR regulations, including secure data handling and patient rights to access their data.

Employee Training on Data Privacy Compliance

Given that employees interacting with synchronized health data will be using the CuraDesk platform, when the training sessions are conducted, then all employees must understand data privacy regulations and the importance of patient confidentiality before they access live patient data.

User Interface for Data Visualization

User Story: As a healthcare provider, I want to have a clear visual representation of patient health data so that I can make informed decisions quickly without feeling overwhelmed by the information presented.
Description: The User Interface for Data Visualization requirement is focused on developing an intuitive and user-friendly dashboard within the CuraDesk platform that allows healthcare providers to easily visualize and interpret the synchronized health data. This feature will include customizable charts, graphs, and alerts for key health indicators, enabling providers to quickly comprehend complex patient data trends. The implementation will enhance user experience by minimizing cognitive load and allowing for effective data-driven decisions. This requirement will also prioritize accessibility and mobile friendliness, ensuring healthcare providers can interact with the data on various devices. By providing a clear visual representation of health data, this feature will facilitate better communication and collaboration among healthcare teams.
Acceptance Criteria: Healthcare provider access the data visualization dashboard for the first time.

Given the healthcare provider has valid login credentials, When they navigate to the data visualization dashboard, Then they should see a welcoming interface with clear instructions on how to utilize the dashboard's features.

Healthcare provider views real-time synchronized health data on the dashboard.

Given the healthcare provider is on the data visualization dashboard, When they select the 'View Health Data' option, Then they should see updated health data visualizations reflecting the most recent information from integrated health apps, displayed in a user-friendly manner.

Healthcare provider customizes a data visualization report.

Given the healthcare provider is on the data visualization dashboard, When they select specific metrics and apply filters, Then the dashboard should update to reflect the customized view, allowing them to save this configuration for future use.

Healthcare provider receives an alert for a critical health indicator.

Given the healthcare provider is on the data visualization dashboard, When a synchronized health indicator crosses a predefined critical threshold, Then the provider should receive a visible and audible alert on the dashboard, prompting them to take immediate action.

Healthcare provider shares a data visualization with a member of the healthcare team.

Given the healthcare provider is on the data visualization dashboard, When they select a visualization and click the 'Share' button, Then the system should enable them to send the visualization securely to a specified team member via email or internal messaging system.

Healthcare provider accesses the dashboard from a mobile device.

Given the healthcare provider is using a smartphone or tablet, When they log into the CuraDesk platform and navigate to the data visualization dashboard, Then the dashboard should be fully responsive and maintain usability, displaying health data clearly without loss of functionality.

Data Sync Scheduling

User Story: As a patient, I want to be able to schedule when my health data is synchronized so that I can manage my privacy while ensuring my healthcare provider has timely access to important information.
Description: The Data Sync Scheduling requirement will enable healthcare providers and patients to establish a schedule for data synchronization between their mobile health apps and the CuraDesk platform. This feature will allow for personalized settings where users can choose the frequency and timing of data updates according to their needs and preferences. This capability ensures that both patients and providers are alerted to significant changes in health data on time. Implementation of this feature involves creating user-friendly interfaces for setting preferences, along with backend capabilities to manage and execute scheduled updates reliably. By allowing users to customize their data sync settings, this feature enhances user engagement and satisfaction, ultimately improving health management outcomes.
Acceptance Criteria: As a healthcare provider, I want to set a weekly schedule for data synchronization with the CuraDesk platform so that I can automatically receive any updates to my patients' health data each Monday at 8 AM.

Given that the healthcare provider has access to the Data Sync Scheduling feature, when they set the sync frequency to weekly and select Monday at 8 AM, then the system must successfully save this preference and execute the synchronization at the specified time every week without failure.

As a patient, I need to customize the data sync timing according to my daily routine so that I can ensure that the latest health information is available to my provider whenever necessary.

Given that the patient is using the CuraDesk platform, when they select a daily synchronization with a preferred time of 7 PM, then the system must allow them to save this preference and automatically trigger data synchronization at 7 PM every day, reflecting any changes in health data.

As a healthcare administrator, I want to ensure that a notification is sent to both providers and patients after a data sync occurs, keeping both parties aware of any changes in health data.

Given that the Data Sync Scheduling has been set up for a provider and patient, when a synchronization occurs, then both the provider and patient must receive an instant notification confirming that the sync has taken place and listing any significant changes in data.

As a system user, I want to assess the reliability of the scheduled synchronization by reviewing logs that show past sync attempts and their outcomes for troubleshooting purposes.

Given that the user has access to the CuraDesk platform, when they navigate to the sync logs section, then they must see a comprehensive log of past sync attempts, including timestamps, success and failure notifications, and specific reasons for any failures.

As a patient, I want to disable data synchronization at any point if I choose to not share my health data temporarily, so that I maintain control over my data privacy.

Given that a patient has previously enabled data synchronization, when they select the option to disable synchronization, then the system must successfully stop all future syncs until the patient chooses to re-enable this feature.

As a healthcare provider, I want to see a summary of all scheduled syncs across my patients’ accounts to manage updates efficiently without having to check each account individually.

Given that there are multiple patients with scheduled syncs in the system, when the healthcare provider accesses the patient sync summary dashboard, then they must see a clear list of all upcoming sync times along with the patients' names for streamlined management.

Interaction Logs for Data Changes

User Story: As a healthcare provider, I want to have access to logs of data changes to ensure accountability and transparency in patient data management, so that I can uphold ethical standards in my practice.
Description: The Interaction Logs for Data Changes requirement is designed to create a comprehensive logging system that records all interactions and changes made to the health data within the CuraDesk platform. This includes who accessed the data, what changes were made, and when these changes occurred. The logging functionality will serve both compliance and transparency purposes, helping to maintain an audit trail which is critical for security and accountability in healthcare. This requirement involves implementing a robust backend to support detailed logging as well as front-end components for authorized users to review logs easily. By providing full visibility into data interactions, this feature supports trust-building amongst users and fosters an environment of accountability within the healthcare ecosystem.
Acceptance Criteria: User accesses the health data section of CuraDesk to review interaction logs after a data change has been made.

Given a user with admin access, when they navigate to the health data section and select 'Interaction Logs', then they should see a list of all data interactions recorded within the last 30 days, including timestamps and user IDs.

A healthcare provider makes an update to a patient's health data through a mobile app integrated with CuraDesk.

Given a healthcare provider updates a patient's medication dosage using a connected mobile health app, when the change is submitted, then the interaction log should record this change with the provider's ID, the previous and current dosage, and the timestamp of the change.

Compliance officer conducts a random audit of the interaction logs to ensure security and accountability.

Given the compliance officer has access privileges, when they query the interaction logs, then they should be able to filter logs by date range, user ID, and action type, and export the results in CSV format for reporting purposes.

An unauthorized user attempts to access the interaction logs section in CuraDesk.

Given a user without proper access permissions, when they try to navigate to the 'Interaction Logs' section, then they should receive a '403 Forbidden' error message, indicating that they do not have access to this functionality.

An administrator reviews the interaction logs specifically for a particular patient's data changes.

Given an administrator selects a specific patient record and requests to view interaction logs, when they do so, then they should only see logs related to that patient's health data, including details about who made changes and what was changed.

Data changes in CuraDesk are automatically logged to ensure consistency across multiple platforms.

Given that health data is synchronized from mobile health apps to CuraDesk, when a change occurs, then the logging system should record the interaction details in real-time, ensuring no data interaction is missed.

Health data changes made during off-hours are logged correctly for later review.

Given that changes can be made to patient data at any time, when a user accesses logs made during off-hours, then they should verify that all entries are present and accurately timestamped as per the actual interaction time.

Personalized Insights Dashboard

An interactive dashboard that compiles data from mobile health apps into personalized insights tailored to each patient. This feature helps patients visualize their health trends, receive specific recommendations based on their health metrics, and engage in informed discussions with their healthcare providers.

Requirements

Data Aggregation Engine

User Story: As a patient, I want to see an integrated view of my health data from different apps so that I can better understand my health trends and take informed actions.
Description: The Data Aggregation Engine is a critical requirement that enables the Personalized Insights Dashboard to gather and synthesize data from various mobile health applications utilized by patients. This engine must efficiently compile health metrics, historical data, and user inputs into a cohesive format. Its functionality not only enhances the accuracy of the insights provided to patients but also fosters better communication with healthcare providers. By ensuring real-time data updates, this requirement plays a vital role in keeping users informed about their health trends and facilitating timely interventions by medical professionals.
Acceptance Criteria: As a patient, I want to see real-time updates of my health metrics aggregated from various mobile health apps so that I can understand my current health status.

Given that the patient has connected their health apps, when they access the Insights Dashboard, then the dashboard should display the latest health metrics with no more than a 5-minute delay from the original data input.

As a healthcare provider, I want to receive aggregated health data from my patients' mobile health apps, so I can provide informed recommendations during consultations.

Given that the patient has regular updates from their health apps, when the healthcare provider reviews the patient's profile, then they should see consolidated insights including health trends and alerts for any critical metrics.

As a patient, I want to receive personalized recommendations based on my aggregated health data, so I can make informed decisions about my health.

Given that the patient has provided consent and aggregated health data is available, when they access their personalized insights, then the dashboard should display actionable health recommendations tailored to their specific metrics.

As an administrator, I want to ensure that the Data Aggregation Engine captures and processes data securely and complies with HIPAA regulations, to protect patient confidentiality.

Given that the Data Aggregation Engine is operational, when it processes any health data, then it must log all data transactions and adhere to HIPAA compliance guidelines, with no breach incidents reported.

As a patient, I want to visualize my health trends over time through the Insights Dashboard, so that I can track my health progress.

Given that there are at least three months of health data aggregated, when the patient views their dashboard, then they should be able to see visual representations (charts/graphs) of their health trends over time.

As a patient, I want to provide feedback on the insights I receive, so my dashboard can improve in tailoring its recommendations.

Given that the patient has accessed their Insights Dashboard, when they submit feedback on the provided recommendations, then it should be recorded and influence future insights, improving personalization.

Customizable Insights Algorithms

User Story: As a patient, I want to receive tailored health recommendations based on my specific data so that I can make better decisions regarding my health and well-being.
Description: The Customizable Insights Algorithms are designed to analyze the aggregated health data and generate personalized recommendations for each patient based on their unique health metrics. This requirement focuses on developing adaptive algorithms that can be tuned to reflect varying patient needs, risks, and preferences. By leveraging machine learning techniques, this feature not only enhances the relevance of insights but also empowers patients to make informed decisions concerning their health. Its integration within the dashboard will be pivotal in fostering patient engagement and autonomy in healthcare management.
Acceptance Criteria: Patient accesses the Personalized Insights Dashboard to view their health data.

Given the patient is logged into their account, when they navigate to the Personalized Insights Dashboard, then they should see a summary of their health metrics displayed visually with appropriate color coding for each metric.

Patient customizes their insights preferences within the dashboard.

Given the patient is on the Insights Settings page, when they modify their preferences for health insights and save the changes, then the system should confirm the changes and adjust the displayed insights accordingly after refresh.

Patient receives personalized recommendations based on updated health data.

Given the patient's health data has been updated, when the customizable insights algorithms run, then the patient should receive new recommendations that are relevant to their latest health metrics via notification in the dashboard.

Healthcare provider reviews a patient's personalized insights on the dashboard during a consultation.

Given the healthcare provider is examining a specific patient’s profile, when they access the Personalized Insights Dashboard, then they should see structured insights and recommendations that enhance their ability to make informed clinical decisions.

Patient interacts with insights and metrics by clicking on specific health trends within the dashboard.

Given the patient is viewing their personalized insights, when they click on a specific health trend, then they should be taken to a detailed view that provides historical data, potential implications, and personalized recommendations based on that trend.

Patient provides feedback on the relevance of insights received.

Given the patient has received at least five personalized insights, when they submit feedback through the dashboard indicating which insights were helpful or not, then the system should log this feedback for future algorithm adjustments.

Patient views the analysis of their historical health metrics.

Given the patient accesses the Historical Metrics section in the dashboard, when they select a time frame for their health data, then a graph should display their health trends over that selected period, showcasing improvements or declines based on their metrics.

Interactive Visualization Tools

User Story: As a patient, I want to view my health data through interactive graphs and charts so that I can easily understand my progress and identify areas for improvement.
Description: Interactive Visualization Tools will transform the way health data is presented on the Personalized Insights Dashboard. This requirement involves integrating graphical representations like graphs, charts, and comparisons that allow patients to intuitively explore their health data over time. The visualization tools should support in-depth analysis, making complex data easily digestible, thus fostering a better understanding of one's health. This feature will encourage proactive engagement, enabling patients to discuss trends and improvements during consultations with their healthcare providers.
Acceptance Criteria: Patient views their personalized health data on the dashboard for the first time.

Given the patient has logged into their account, when they access the Personalized Insights Dashboard, then they must see an interactive visualization of their health metrics displayed as graphs and charts that accurately reflect their data over the chosen timeframe.

Patient engages with the graphical elements in their health dashboard.

Given the patient is on the Personalized Insights Dashboard, when they hover over a graph or chart, then they should see tooltips providing detailed information about the data point being viewed.

Patient interacts with dashboard filters to analyze specific health metrics.

Given the patient is on the Personalized Insights Dashboard, when they select a specific health metric from the filter menu, then the dashboard should dynamically update to display only the relevant graphs and charts pertaining to that metric.

Patient receives personalized recommendations based on their health trends displayed in the dashboard.

Given the patient is viewing their health data, when there is a significant change in any health metric, then the dashboard must display tailored recommendations for improving their health based on the latest data trends.

Healthcare provider views patient data to discuss health trends during a consultation.

Given the healthcare provider has accessed the patient’s Personalized Insights Dashboard, when they review the graphs and charts, then they should be able to discuss specific trends and insights derived from the visualizations with the patient.

Patient saves or shares their personalized insights for future reference.

Given the patient is on the Personalized Insights Dashboard, when they select the option to save or share their insights, then they must receive a confirmation message indicating that the action was successful.

Patient checks the historical data trends over a specified timeframe.

Given the patient has selected a date range on their Personalized Insights Dashboard, when they click the apply button, then the dashboard should update to reflect the health metrics for that specified historical timeframe accurately.

Secure Data Sharing Protocols

User Story: As a patient, I want to securely share my health insights with my doctor so that I can receive personalized advice and better care without compromising my privacy.
Description: Secure Data Sharing Protocols are essential for maintaining the confidentiality and integrity of patient health information. This requirement outlines mechanisms for patients to securely share their insights with healthcare providers while ensuring compliance with industry standards and regulations. It is critical that these protocols support both explicit consent from patients and transparent communication regarding how their data will be used. By facilitating secure sharing, this feature enhances collaboration between patients and providers, ultimately contributing to better healthcare outcomes.
Acceptance Criteria: Patient shares their health data with their primary healthcare provider through the personalized insights dashboard after receiving an automated reminder.

Given a patient has logged into their account and selected the 'Share Data' option, when they enter the healthcare provider's details and confirm sharing, then the patient's health data should be securely transmitted and a confirmation message displayed to the patient.

Healthcare provider receives the patient's shared health data and verifies it against consent records to ensure compliance with regulations.

Given a healthcare provider has received shared health data from a patient, when they check the consent records, then the provider should be able to view the patient's explicit consent and view the shared data in a secure manner without any data breaches.

Patients view a summary of how their data will be used after sharing it with their healthcare provider.

Given that a patient is on the confirmation screen after sharing their data, when they click on the 'Data Usage Explanation' link, then they should see a clear summary of how their data will be utilized by the healthcare provider and their rights regarding that data.

Data sharing protocols are tested for potential vulnerabilities to ensure patient information remains confidential.

Given the secure data sharing protocols are implemented, when a penetration test is conducted, then there should be no critical vulnerabilities identified, ensuring that patient information is protected against unauthorized access.

Patients can revoke access to their shared data at any time through the dashboard.

Given a patient is using the personalized insights dashboard, when they navigate to the 'Manage Data Sharing' section and choose to revoke access for a provider, then the access should be immediately revoked and a confirmation message should be displayed.

Compliance with healthcare regulations is documented and reviewed regularly.

Given the secure data sharing protocols have been established, when a compliance review is conducted, then all protocols should align with HIPAA and other relevant regulations, and documentation should be available for auditing purposes.

System logs are maintained to track the sharing and revocation of patient data.

Given that a patient has shared or revoked data access, when the system logs are reviewed, then entries should accurately reflect each data-sharing event, including timestamps, user actions, and provider details, ensuring traceability of data transactions.

User-Friendly Interface Design

User Story: As a patient, I want an easy-to-use dashboard interface so that I can quickly navigate and understand my health information without frustration.
Description: The User-Friendly Interface Design requirement focuses on creating an intuitive and visually appealing layout for the Personalized Insights Dashboard. This requirement encompasses usability principles that promote easy navigation, accessibility, and overall aesthetic appeal. The design should consider the diverse user base of patients, ensuring that all age groups and tech-savviness can effectively engage with the dashboard. An excellent UI design will not only enhance user satisfaction but also encourage regular use and interaction with the health insights provided.
Acceptance Criteria: User interacts with the Personalized Insights Dashboard on a mobile device to track their health metrics over time.

Given the user is on the dashboard, when they select a health metric, then the dashboard should display a clear visual representation of that metric's trend over the last 30 days.

A patient receives personalized recommendations based on their health trends through the dashboard.

Given the user has logged data from their mobile health app, when they access the recommendations section, then the dashboard should provide at least three personalized recommendations tailored to their health metrics.

Users of different age groups attempt to navigate the dashboard to find their health data.

Given a user aged 65 and another aged 25, when they access the dashboard, then both users should be able to navigate to their health data within three clicks and without assistance.

A healthcare provider discusses the insights from the dashboard with a patient during a consultation.

Given the provider accesses the patient's insights dashboard, when they review the insights, then the dashboard should present relevant data trends and recommendations that can be shared visually during the consultation.

A user accesses the dashboard using various devices (tablet, smartphone, desktop).

Given the user accesses the dashboard from any device, when they log in, then the dashboard layout should adapt responsively, maintaining usability and aesthetic appeal across all devices.

After using the dashboard for one month, a patient provides feedback on its usability.

Given the patient uses the dashboard regularly, when they complete a feedback form, then they should provide a satisfaction score of 4 out of 5 or higher regarding the overall usability and design.

Users need to understand the data privacy measures taken by the dashboard.

Given the user visits the privacy settings section, when they review the information, then the dashboard should clearly outline the data privacy measures and allow users to modify their consent settings easily.

Real-Time Notifications System

User Story: As a patient, I want to receive alerts and notifications about my health data so that I can stay informed and act proactively to maintain my well-being.
Description: The Real-Time Notifications System is designed to keep patients informed about their health status and insights through timely alerts. This requirement includes the development of a notification framework that sends reminders, updates, or recommendations based on new data, trends, or changes in health metrics. The notifications should be customizable, allowing users to select their preferences for what type of information they wish to receive. This feature aims to facilitate ongoing patient engagement and timely interventions, improving health management outcomes.
Acceptance Criteria: Notification of Daily Health Metrics Summary

Given a patient has received health tracking data from their mobile health app, When the daily summary is generated, Then the system sends a notification to the patient at 8 AM with their health metrics including steps taken, calories consumed, and any alerts regarding their health trends.

Customized Alerts for Medication Reminders

Given a patient has set up medication preferences in the app, When it's time for the patient to take their medication, Then the system sends a customizable alert, allowing the user to choose between a push notification or an SMS reminder, based on their preference.

Urgent Notifications for Health Deterioration

Given a patient's health tracking shows metrics indicating potential health deterioration, When the threshold for alerts is exceeded, Then the system sends an urgent notification to the patient and their healthcare provider within 5 minutes.

Weekly Progress Insights Notification

Given a patient is enrolled in a health monitoring program, When the week ends, Then the system automatically sends a notification summarizing their progress, including achievements or areas needing improvement, every Sunday.

Privacy Settings for Notifications

Given a patient has accessed their account settings, When they modify their privacy settings regarding notifications, Then the system ensures that their preferences are saved and that notifications are adjusted according to the new settings without sending previous alerts.

Feedback Mechanism for Notification Effectiveness

Given patients receive notifications from the system, When a notification is sent, Then the system provides an option for the patient to give feedback on the notification’s relevance and clarity, logging this feedback for further analysis.

Symptom Tracking Integration

Integrates symptom tracking capabilities from mobile health apps, allowing patients to log their symptoms and share them in real time with their healthcare team. This feature supports better symptom management and enables providers to make timely adjustments to treatment plans.

Requirements

Real-time Symptom Logging

User Story: As a patient, I want to log my daily symptoms in real-time through a mobile app so that my healthcare team can monitor my condition and make necessary adjustments to my treatment plan as quickly as possible.
Description: The Real-time Symptom Logging requirement enables patients to log their symptoms through mobile health apps, which should seamlessly integrate with the CuraDesk platform. This functionality will allow patients to input daily symptom data in an easy-to-use format. The information will be automatically transmitted to the healthcare providers’ dashboards in real-time, ensuring timely access to the latest patient symptomology. This enhancement will facilitate proactive treatment adjustments and improve patient outcomes by fostering better communication between patients and their care teams.
Acceptance Criteria: Patient successfully logs symptoms using the mobile health app and the data is transmitted to CuraDesk in real-time.

Given a patient uses the mobile health app to log their symptoms, when they submit the log, then the symptom data is transmitted to the CuraDesk platform within 5 seconds, and is visible on the healthcare provider's dashboard.

Healthcare providers access and view patient symptom logs on their dashboard after logging by the patient.

Given that a patient has logged their symptoms, when a healthcare provider accesses their dashboard, then the symptom logs should display the latest entries with accurate timestamps and details on a dedicated section.

Alerts are generated for healthcare providers when symptom severity exceeds predefined thresholds logged by the patient.

Given a patient logs a symptom with a severity level above the predefined threshold, when the log is submitted, then an alert notification is generated for the healthcare provider in real-time to ensure timely intervention.

Patients can easily navigate the symptom logging interface on the mobile app without assistance.

Given a user interface for symptom logging designed for mobile health apps, when a patient interacts with the app, then they can log symptoms within three clicks or taps, ensuring user-friendliness and accessibility.

Symptom tracking data can be viewed in analytics reports by healthcare providers.

Given that patients regularly log their symptoms, when the healthcare provider generates an analytics report, then the report should include a summary of symptom trends over a specified period, allowing for data-driven decision-making.

Patients receive confirmation that their symptom log has been successfully submitted.

Given a patient submits their symptom log via the mobile health app, then a confirmation message should be displayed to the patient within 2 seconds, providing reassurance that their information has been received successfully.

Healthcare providers can filter and search symptom data for individual patients effectively.

Given multiple patients' symptom logs available on the CuraDesk dashboard, when a healthcare provider uses the search and filter function, then they should be able to view specific logs for an individual patient based on date, severity, or symptom type in less than 5 seconds.

Symptom Trend Analytics

User Story: As a healthcare provider, I want to analyze the symptom trends of my patients over time so that I can make informed decisions about their treatment plans based on real data.
Description: The Symptom Trend Analytics requirement focuses on developing analytical tools that will enable healthcare providers to visualize symptom trends over time. By processing the symptomatic data logged by patients, the system will generate visual reports and graphs that highlight important changes and patterns in the patient’s health status. This functionality provides healthcare teams with vital insights, allowing for data-driven decision-making and personalized treatment options tailored to the evolving health conditions of their patients.
Acceptance Criteria: Visualizing Patient Symptom Trends Over Time

Given that a patient has logged symptoms consistently over a period, when a healthcare provider accesses the symptom trend analytics dashboard, then the provider should see a line graph displaying the patient's symptom severity over that time period, including color-coded markers for significant changes.

Generating Time-Based Reports for Healthcare Providers

Given that a healthcare provider wants to analyze symptom trends for multiple patients, when the provider selects a date range and clicks on generate report, then the system should produce a downloadable PDF report containing visual graphs and key insights for each patient within the selected date range.

Identifying Patterns in Symptom Fluctuations

Given that symptom data for a patient has been collected over three months, when the healthcare provider analyzes the data using the trend analytics tool, then the tool should automatically highlight any notable patterns or fluctuations in symptoms, such as increased severity during specific months in a visual format.

Alerting Providers of Significant Symptom Changes

Given that a patient's symptoms have changed significantly based on logged data, when the symptom trend analytics detects a threshold breach, then the system should send an automatic alert to the healthcare provider's dashboard indicating the specific symptoms that triggered the alert.

Comparing Symptom Trends Across Different Patients

Given that multiple patients are tracked in the system, when a healthcare provider selects several patients to compare, then the analytics tool should display a side-by-side comparison of symptom trends, allowing for identification of commonalities and anomalies among the patient group.

Integrating External Data Sources for Enhanced Analysis

Given that the healthcare provider opts to include external data sources (e.g., lab results, medication changes), when generating the symptom trend analytics report, then the system should pull in this data and overlay it with the symptom trends for comprehensive analysis.

Integration with Electronic Health Records (EHR)

User Story: As a healthcare provider, I want all logged symptoms from mobile apps to automatically integrate with the patient’s EHR so that I can have a comprehensive view of their health status during consultations.
Description: The Integration with Electronic Health Records (EHR) requirement ensures that all logged symptoms are accessible within the patient's electronic health record. This integration facilitates comprehensive patient data management and enables providers to have a complete view of the patient’s health history. The automatic transfer of symptom data will not only streamline workflow but also enhance the continuity of care by ensuring that all healthcare professionals involved in the patient’s treatment have access to the same information, thus improving communication and coordination within the healthcare team.
Acceptance Criteria: Patient logs symptoms using the mobile health app after an appointment, and details are sent to the hospital's EHR system.

Given a patient has logged symptoms in the mobile health app, when the patient submits the log, then the symptoms must appear in the patient's EHR within 5 minutes of submission.

A healthcare provider checks the patient's EHR to assess their logged symptoms after seeing them in consultation.

Given the provider accesses the patient's EHR, when they navigate to the symptoms section, then they should see all logged symptoms with timestamps and any relevant notes or changes.

The hospital’s EHR integrates and displays symptom data from multiple patients' mobile health app logs.

Given multiple patients log symptoms through their mobile health apps, when the EHR retrieves the logs, then it must consolidate data accurately reflecting all symptoms for each patient.

A healthcare provider decides to adjust a patient’s treatment plan based on the trends observed in the logged symptoms.

Given the provider has accessed symptom data over the past month, when they identify a trend of increasing symptom severity, then they must document a treatment plan adjustment in the EHR before the next appointment.

A patient queries their healthcare provider about the management of their symptoms using the EHR system.

Given the patient has logged symptoms, when they ask about their symptom management, then the provider should retrieve up-to-date symptom logs from the patient's EHR during the consultation.

An audit is conducted on symptom data integration within the EHR to ensure data accuracy and security.

Given an audit is being conducted, when the data logs from the mobile health apps are compared with those in the EHR, then there should be 100% alignment between the two without any discrepancies.

A patient receives a notification on their mobile app confirming the successful logging of their symptoms and submission to the EHR.

Given the patient submits symptoms through the mobile health app, when the submission is successful, then the patient should receive an immediate confirmation notification within the app.

Patient Education Resources

User Story: As a patient, I want to access educational resources about symptom tracking so that I can better understand how to log my symptoms effectively and why it matters for my treatment.
Description: The Patient Education Resources requirement involves creating a library of resources accessible to patients that explain how to effectively log symptoms and the importance of symptom tracking in managing their health conditions. This feature aims to empower patients through education and engagement by providing easy access to informational materials such as videos, infographics, and FAQs about the symptom tracking process and its benefits for their treatment outcomes. Improved patient education will lead to better symptom reporting and foster a more active role in their own healthcare.
Acceptance Criteria: Patient accesses the education resources library for the first time through the CuraDesk platform.

Given the patient is logged into their CuraDesk account, When they navigate to the Patient Education Resources section, Then they should see a list of educational materials organized by topic relevant to symptom tracking, including at least 3 videos, 5 infographics, and 10 FAQs.

Patient views and engages with educational materials to learn about symptom tracking.

Given the patient is in the Patient Education Resources library, When they click on an educational video, Then the video should play without buffering, and the patient should have the option to pause, rewind, or close the video.

Patient provides feedback on the educational resources they accessed through CuraDesk.

Given the patient has viewed at least one educational resource, When they complete a feedback survey post-viewing, Then the feedback form should capture their thoughts on clarity, usefulness, and any suggestions for additional content, and be submitted successfully to the healthcare team.

Healthcare provider tracks patient engagement with educational resources.

Given the provider is logged into their administrative CuraDesk account, When they access the analytics dashboard, Then they should see data showing the number of patients who viewed each educational resource, the average time spent on each resource, and overall engagement ratings.

Patient revisits the educational resource library to find updated materials.

Given the patient has previously accessed the Patient Education Resources library, When they return to the library after a week, Then they should see new educational materials updated in the library, including at least 2 additional videos and relevant FAQs added.

Patient inquires about the importance of symptom tracking based on the education they received.

Given the patient has consumed educational materials from the library, When they discuss their symptom tracking with their healthcare provider during a consultation, Then they should accurately articulate at least 2 benefits of symptom tracking based on what they learned from the resources.

Medication Adherence Alerts

This feature connects mobile health apps that track medication adherence, sending notifications to patients when it's time to take their medications. By integrating this capability, CuraDesk can help improve medication compliance, leading to better health outcomes.

Requirements

Medication Reminder Notifications

User Story: As a patient, I want to receive reminders on my phone when it's time to take my medications so that I don't forget and can stay on track with my treatment plan.
Description: This requirement focuses on generating timely and personalized notifications for patients to remind them to take their medications. The system will utilize data from connected mobile health apps to determine the appropriate timing for alerts. By providing customizable alerts based on patient preferences (e.g., sound, vibration, and visual cues), the feature is designed to enhance medication adherence, minimize forgetfulness, and improve overall patient satisfaction. Integrating this system will significantly contribute to better health outcomes as patients will more consistently follow their prescribed medication regimens.
Acceptance Criteria: Patient receives a medication reminder notification via the mobile health app at the scheduled time after connecting the app to CuraDesk.

Given the patient has connected their mobile health app and set their medication schedule, when the scheduled time arrives, then the patient should receive a notification reminding them to take their medication according to their preferences (sound, vibration, visual).

User can customize notification preferences for medication reminders within the CuraDesk interface.

Given the patient accesses the notification settings, when they select their preferred notification type (sound, vibration, visual), then those preferences should be saved and reflected in future notifications.

System properly logs when notifications are sent to patients for compliance tracking purposes.

Given the medication reminder notifications are sent, when the notifications are dispatched, then the system should log the time, type of notification, and patient ID for audit and compliance analysis.

Patient receives a reminder notification that includes medication instructions, not just a prompt to take the medication.

Given the patient has a prescription linked to their profile, when they receive a notification, then the reminder should include medication name, dosage, and any specific instructions or dietary restrictions.

Medication reminder notifications persist in the application for later review if the patient misses them.

Given that a notification is sent, when the patient does not confirm taking the medication, then the notification should remain in the app for a specified duration and be accessible in the history or reminders section.

Patients can view a history of their medication alerts and their responses to those alerts.

Given patients interact with the medication adherence feature, when they access their alert history, then they should see a chronological list of notifications received and their responses (e.g., 'snoozed', 'marked as taken').

The system sends reminders based on the real-time medication adherence data updated from the mobile health app.

Given the patient has taken their medication and updated the status in the mobile health app, when the time for the next prescribed medication arrives, then no reminder should be sent if the app reflects adherence.

Compliance Analytics Dashboard

User Story: As a healthcare provider, I want to see analytics on my patients' medication adherence so that I can intervene when necessary and provide better care.
Description: The Compliance Analytics Dashboard requirement entails the development of a visual interface within CuraDesk that provides healthcare providers with insights into patients' medication adherence patterns. The dashboard will integrate data from the medication adherence alerts and present it in an easy-to-understand format, including charts and graphs that highlight trends, identify non-compliance issues, and suggest possible interventions. By empowering healthcare providers with actionable insights, this feature will enhance their ability to support patients and improve overall treatment effectiveness.
Acceptance Criteria: Healthcare providers access the Compliance Analytics Dashboard after a patient has received their medication adherence alerts for a month.

Given a healthcare provider accesses the dashboard, when they view the medication adherence data, then they should see a graphical representation of patient adherence patterns over the past month with clear indicators for compliance and non-compliance rates.

A healthcare provider uses the Compliance Analytics Dashboard to identify a patient with low medication adherence.

Given a healthcare provider identifies a patient with low adherence on the dashboard, when they click on the patient’s profile, then they should see detailed insights into that patient’s medication-taking history as well as suggested interventions based on trends.

Healthcare providers need to generate a report on medication adherence compliance for a specific patient population.

Given a healthcare provider selects a patient group from the Compliance Analytics Dashboard, when they request a report, then the system should generate a downloadable report containing adherence statistics and visualizations for the selected population.

A healthcare provider needs to view real-time updates on a patient's adherence status through the dashboard.

Given a healthcare provider is monitoring a specific patient, when they refresh the Compliance Analytics Dashboard, then they should see the latest adherence alerts and updates reflected in real-time without any significant delay.

A healthcare team collaborates on care strategies utilizing insights from the Compliance Analytics Dashboard.

Given multiple healthcare providers participate in a care team meeting, when they share insights from the dashboard, then they should be able to collaboratively discuss compliance trends and interventions using the available data visualizations with ease.

Healthcare providers require training on how to effectively use the Compliance Analytics Dashboard for best results.

Given a healthcare provider completes training for the Compliance Analytics Dashboard, when they use the dashboard afterward, then they should demonstrate the ability to navigate and interpret the insights effectively during a follow-up assessment.

A healthcare provider encounters discrepancies in medication adherence data on the dashboard.

Given a healthcare provider notices discrepancies in the displayed adherence data, when they report the issue through the system, then the system should provide an acknowledgment of the report and initiate a review process within 48 hours.

Integration with EHR Systems

User Story: As a healthcare administrator, I want to integrate medication adherence data into our existing EHR systems so that we have a complete view of our patients' treatment adherence and ensure better care coordination.
Description: This requirement involves developing an integration capability between the CuraDesk platform and Electronic Health Record (EHR) systems used by healthcare facilities. The integration will allow for automatic updates to patient records regarding medication adherence, enabling healthcare providers to have real-time access to a patient's compliance history. This interconnected data flow is critical for coordinated care, ensuring providers can make informed decisions based on comprehensive patient information and streamline workflows.
Acceptance Criteria: Successful integration of CuraDesk with EHR systems to enable automatic updates of patient medication adherence data.

Given that the integration has been configured, when a patient takes their medication as scheduled, then the EHR should reflect this update within 5 minutes.

Notification system for patients when it's time to take their medications, triggered by the integration with EHR.

Given a patient is due for medication, when the time for the alert arrives, then the patient should receive a push notification on their mobile health app within 1 minute.

Access to real-time patient compliance history for healthcare providers through the integrated EHR system.

Given that a healthcare provider is logged into the EHR, when they access a patient's profile, then they should see the patient's complete medication adherence history updated in real-time.

Error handling and logging during EHR integration to ensure reliability and troubleshooting.

Given that an error occurs during the integration process, when the error is logged, then the system should provide a detailed report of the error within the administration panel within 10 minutes.

User interface for managing medication adherence alerts and settings within CuraDesk.

Given the healthcare administrator is in the settings page, when they configure the medication alert settings, then the changes should be saved and applied to all affected patient accounts immediately.

Testing data security and patient confidentiality during the data exchange between CuraDesk and the EHR.

Given that a data exchange is initiated, when the data is transmitted, then it must be encrypted and comply with HIPAA regulations without exposing any personal identifiable information.

Patient Profile Customization

User Story: As a patient, I want to customize how and when I receive medication reminders so that I can choose the most convenient method for my lifestyle.
Description: The Patient Profile Customization requirement focuses on allowing patients to customize their profiles for medication notifications. Patients will be able to select preferred notification channels (e.g., SMS, email, in-app), scheduling times for reminders, and setting up additional preferences for frequency and type of alerts. This level of personalization will lead to a higher engagement rate with the medication adherence system, ultimately contributing to better health outcomes.
Acceptance Criteria: Customizing Notification Preferences for Medication Alerts

Given a patient has accessed their profile in the CuraDesk application, When they choose to customize medication notification preferences, Then the system should allow them to select their preferred notification channel from SMS, email, or in-app notifications.

Scheduling Reminder Notifications

Given a patient has selected their preferred notification channel, When they schedule reminder times for taking their medication, Then the system should allow them to input specific times and validate that these times are within appropriate hours (e.g., between 6 AM and 10 PM).

Setting Frequency and Type of Alerts

Given a patient is customizing their profile, When they choose the frequency of reminders (e.g., daily, weekly) and type of alerts (e.g., just before medication time vs. 1 hour before), Then the system should save these preferences and apply them consistently to the patient's scheduled reminders.

Receiving Scheduled Medication Alerts

Given a patient has set up their medication reminders with specific times and preferred channels, When the reminder time arrives, Then the patient should receive the notification through the selected channel accurately and on time.

Modifying Notification Settings Post-Setup

Given a patient has previously set up their medication notification preferences, When they attempt to modify any of these settings, Then the system should allow the patient to successfully save the updated preferences without encountering errors.

Ensuring User Engagement with Alerts

Given patients are receiving their medication alerts, When monitoring user engagement metrics (e.g., alert response rates), Then there should be an increase in adherence rates among patients using the customization feature compared to those who do not use it.

Feedback System for Alerts

User Story: As a patient, I want to provide feedback on my medication reminders so that the system can improve and better support my needs for adherence.
Description: This requirement involves creating a feedback mechanism through which patients can provide responses on the notification alerts they receive, such as confirming whether they took their medication or suggesting improvements for the alert system. This feedback will be instrumental in continually refining the alert system, ensuring it meets user needs and preferences. It will further contribute to understanding barriers patients may face in adhering to their medication schedules, allowing for targeted improvements.
Acceptance Criteria: Patient receives a medication adherence alert on their mobile app, prompting them to take their medication. The patient is able to confirm through the app whether they took their medication.

Given the patient receives a notification, when they click on the alert, then they should be presented with options to confirm that they took the medication or to indicate they did not take it.

The feedback mechanism is accessible to patients after they respond to the alert, allowing them to suggest improvements regarding the alert message.

Given a patient confirms or denies taking medication, when they are prompted for feedback, then they should be able to submit a suggestion for improving the alert system.

Healthcare administrators review the collected feedback from patients on the adherence alerts to improve the system.

Given there is patient feedback collected, when an administrator accesses the feedback report, then they should see a summary of feedback responses and suggestions categorized by frequency.

The feedback provided by patients is analyzed for trends in medication adherence barriers, which helps in enhancing the alert system.

Given patient feedback trends have been identified, when the analysis is complete, then actionable insights should be documented and communicated to the development team for system refinement.

Patients have the ability to rate the clarity and usefulness of the medication alerts they receive, contributing to the system's iterative improvement.

Given a patient has interacted with the alert, when they are prompted to rate the alert, then they should be able to select a rating scale (e.g., 1 to 5 stars) and submit their rating.

The system should allow patients to opt-in or opt-out of receiving medication adherence alerts based on their preferences.

Given a patient is in their profile settings, when they choose to opt-in or opt-out of notifications, then their preference should be saved and updated in the system immediately.

Patients receive a follow-up notification based on their feedback about the medication adherence alerts to ensure engagement.

Given a patient has provided feedback on an alert, when the feedback is submitted, then the patient should receive a follow-up acknowledgment notification confirming receipt of their feedback.

Activity and Fitness Monitoring

Integrates fitness and activity data from mobile health apps to provide a comprehensive view of a patient's lifestyle. This feature allows healthcare providers to assess how physical activity impacts patients’ health conditions and offers data-driven suggestions for lifestyle changes.

Requirements

Fitness Data Integration

User Story: As a healthcare provider, I want to see my patients' activity and fitness data in one place so that I can make informed decisions about their health and recommend lifestyle changes effectively.
Description: The Fitness Data Integration requirement focuses on enabling the CuraDesk platform to seamlessly connect with various mobile health apps that monitor patient activity and fitness levels. It ensures that data from these apps is accurately aggregated and displayed in the CuraDesk interface. This integration will empower healthcare providers to access a comprehensive view of patient lifestyles, facilitating improved assessments of health conditions related to physical activity. The benefits include enhanced monitoring capabilities, personalized patient care recommendations, and data-driven insights that promote healthier lifestyle choices. This requirement is critical for providing holistic healthcare insights and improving patient outcomes.
Acceptance Criteria: Fitness data integration from mobile apps into CuraDesk for patient assessments

Given a patient has an active fitness app connected to CuraDesk, when the patient logs a workout, then the data from the fitness app should automatically update in the CuraDesk interface within five minutes.

Data accuracy verification after integration

Given the fitness data is integrated, when a healthcare provider views the patient's activity history, then the data displayed should match the records from the connected fitness app with an accuracy of 95% or higher.

User interface functionality for fitness data display

Given that fitness data is successfully integrated, when a healthcare provider navigates to the patient's profile in CuraDesk, then the activity and fitness data should be clearly displayed and easy to interpret.

Notifications for incomplete data from fitness apps

Given that a connected fitness app fails to send data, when the integration system detects a lack of updates for 24 hours, then an alert should notify the healthcare provider of the missing data.

User permissions for viewing fitness data

Given a healthcare provider with a specific role, when they attempt to access patient fitness data, then their permissions should allow access according to the pre-defined role settings without errors.

Data aggregation from multiple fitness apps

Given that a patient uses multiple fitness apps, when the data is integrated into CuraDesk, then the platform should aggregate and display a comprehensive summary of the patient’s activity across all connected apps.

Impact assessment of fitness data on health conditions

Given that the patient’s fitness data is integrated, when a healthcare provider analyzes the patient’s health conditions, then they should receive data-driven insights and recommendations based on the activity level reported.

Real-time Activity Monitoring

User Story: As a patient, I want my healthcare provider to see my activity levels in real-time so that they can provide timely feedback and support based on my progress.
Description: The Real-time Activity Monitoring requirement entails developing a functionality that allows healthcare providers to track patients' physical activities in real-time. This includes the ability to receive notifications or alerts when a patient engages in significant activities or reaches specific fitness milestones. With real-time updates, providers can promptly intervene when necessary and offer immediate encouragement or guidance. This feature aims to foster better communication between patients and their healthcare team, ensuring timely support that can lead to positive health changes. The requirement is essential for proactive patient management and continuous health improvement.
Acceptance Criteria: Healthcare Provider Receives Real-Time Activity Notifications about a Patient's Fitness Milestone

Given a patient has connected their mobile health app to CuraDesk, when the patient reaches a predefined fitness milestone, then the healthcare provider receives an instant notification via the CuraDesk platform.

Patient Activities are Logged Accurately in the System

Given a patient engages in physical activities tracked by the mobile health app, when those activities sync with CuraDesk, then the activities reflect accurately in the patient's health profile without discrepancies.

Healthcare Provider Can Access Patient Activity History

Given that a healthcare provider is logged into CuraDesk, when they view a specific patient's profile, then they must be able to see a comprehensive history of the patient's physical activities for the past month, including types of activities and timestamps.

Real-Time Alerts Allow for Immediate Actions by Healthcare Providers

Given a patient is participating in a high-risk activity (e.g., intense physical exercise), when the system detects potential health risks based on their activity data, then the healthcare provider receives an alert guiding them to contact the patient immediately.

Data-Driven Activity Insights are Provided to Patients

Given a patient is utilizing the activity monitoring feature, when they complete a series of workouts over a week, then they receive a summary notification from CuraDesk that includes personalized suggestions for lifestyle changes based on their activity data.

Integration with Multiple Mobile Health Apps

Given a patient uses various mobile health apps for tracking their fitness, when they integrate these apps with CuraDesk, then all activity data must be aggregated seamlessly in their CuraDesk profile without manual entries.

Healthcare Providers Can Customize Notification Thresholds

Given a healthcare provider is managing multiple patients, when they adjust the notification settings for an individual patient, then the system allows them to set specific activity thresholds that trigger alerts for that patient only.

Personalized Activity Recommendations

User Story: As a patient, I want to receive personalized activity recommendations based on my health data so that I can improve my fitness levels and overall health more effectively.
Description: The Personalized Activity Recommendations requirement involves the creation of an intelligent recommendation engine that analyzes the collected fitness and activity data of patients to provide tailored suggestions for increasing physical activity. Based on individual patient profiles, health conditions, and previous activity data, the system will suggest specific exercises, activity plans, and goals. This functionality aims to enhance patient motivation and adherence to physical activity routines by personalizing their fitness journey. By incorporating guidelines from healthcare professionals and patient preferences, this requirement will significantly contribute to better health outcomes and patient satisfaction.
Acceptance Criteria: Patient receives personalized activity recommendations based on their fitness data and health conditions when they log into the CuraDesk application.

Given a patient profile with existing fitness data, When the patient logs into the CuraDesk application, Then the system should display personalized activity recommendations tailored to the patient's health conditions and preferences.

A healthcare provider reviews a patient's activity recommendations during a consultation to discuss their fitness journey and progress.

Given a healthcare provider accessing the patient's profile, When the provider views the personalized activity recommendations, Then the provider should see a clear, actionable plan that includes suggested exercises, activity goals, and considerations based on the patient's health conditions.

The recommendation engine updates a patient's activity suggestions based on newly collected fitness data after a week's time.

Given that the patient has logged new fitness data over a week, When the system processes the updated data, Then the system should refresh and display new personalized activity recommendations accordingly.

A patient interacts with the CuraDesk app to provide feedback on their activity recommendations to further personalize their fitness journey.

Given a patient reviewing their activity recommendations, When the patient submits feedback regarding their satisfaction and effectiveness of the suggestions, Then the system should record this feedback and adjust future recommendations accordingly.

The recommendation engine assesses patient progression on their physical activity goals and adapts them monthly.

Given a monthly review of patient activity data, When the system assesses the progress towards set goals, Then the system should adjust the activity recommendations to be more challenging or lenient based on the patient's performance.

Patients receive reminders for their personalized activity recommendations via notifications on the CuraDesk app.

Given a list of personalized activity recommendations, When the scheduled time for the activity approaches, Then the system should send a notification reminder to the patient’s device regarding their planned activity.

The system provides access to relevant educational content alongside the activity recommendations for better patient engagement.

Given a patient viewing their activity recommendations, When the system displays these recommendations, Then it should also present educational resources that explain the benefits and rationale behind each suggested activity.

Comprehensive Activity Reporting

User Story: As a healthcare provider, I want to access comprehensive activity reports for my patients so that I can evaluate their progress and adjust treatment plans accordingly.
Description: The Comprehensive Activity Reporting requirement focuses on generating detailed reports that summarize patient activity levels, trends, and fitness progress over time. These reports will allow healthcare professionals to visualize the impact of physical activity on patients' health metrics, helping to inform treatment decisions and lifestyle advice. The report generation process should be automated and customizable, providing options for both summary and detailed views. This functionality not only supports better patient management but also aids in preventive healthcare strategies. Accurate reporting is pivotal in assessing the effectiveness of prescribed lifestyle changes and overall patient engagement.
Acceptance Criteria: Generate a Daily Activity Report for a patient.

Given a patient is logged into the system, when the healthcare provider requests a Daily Activity Report, then the system generates a report summarizing the patient's activity for the previous day, including total steps, active minutes, and calories burned.

Customizing Activity Reporting for specific health metrics.

Given a healthcare provider wants to focus on specific health metrics, when they access the customization options for the Activity Report, then they can select which metrics to include in the report (e.g., weight change, blood pressure variations) and save these settings for future reports.

View Trends Over a Monthly Period.

Given a healthcare provider wants to analyze a patient’s fitness progress over time, when they select the Monthly Trends Report option, then the system displays a graphical representation of the patient’s activity levels over the past month, highlighting trends and variations in activity.

Automated Report Generation at Scheduled Intervals.

Given a healthcare provider sets a schedule for automated report generation, when the scheduled time arrives, then the system automatically generates and emails the Comprehensive Activity Report to the healthcare provider without additional input required.

Download Comprehensive Activity Report in Multiple Formats.

Given a healthcare provider needs to share the Activity Report with other stakeholders, when they select the Download option, then the system allows them to download the report in at least two formats (e.g., PDF, Excel).

Access Reporting via Mobile Application.

Given a healthcare provider is using a mobile application, when they navigate to the Activity Reporting feature, then they should be able to access, view, and interact with patient activity reports seamlessly on their mobile device.

Secure Data Privacy and Compliance

User Story: As a healthcare administrator, I want to ensure that all fitness data collected and stored on CuraDesk is secure and compliant with regulations so that we protect patient privacy and avoid legal issues.
Description: The Secure Data Privacy and Compliance requirement ensures that all fitness data collected from mobile health apps is stored and managed in compliance with healthcare regulations and standards, including HIPAA. This includes implementing robust data encryption, secure access controls, and regular audits to protect sensitive patient information. The requirement emphasizes the importance of maintaining trust with patients and confidence among healthcare providers while using the CuraDesk platform. Establishing strong security measures is critical for protecting patient data, fostering user adoption, and mitigating potential liabilities associated with data breaches.
Acceptance Criteria: As a healthcare administrator, I need to ensure that all patient fitness data from mobile health apps is encrypted during transmission to prevent unauthorized access.

Given that user data is being collected from mobile health apps, When the data is transmitted to the CuraDesk platform, Then all data must be encrypted using AES-256 encryption.

As a patient, I want to be assured that my fitness data is accessible only to authorized healthcare providers, in compliance with HIPAA regulations.

Given a healthcare provider attempting to access patient fitness data, When the provider's credentials are verified, Then access to the data will only be granted if the provider is listed as an authorized user in the system.

As a compliance officer, I need to conduct regular audits to ensure the system maintains compliance with healthcare regulations.

Given that an audit is scheduled, When the audit is performed, Then the system must provide documentation demonstrating adherence to HIPAA compliance and data protection measures implemented.

As a system administrator, I want to implement role-based access controls to restrict access to sensitive patient data.

Given that a user logs into the CuraDesk system, When their role is determined, Then the user should only have access to data corresponding to their role and level of authorization.

As a patient, I expect to receive notifications if there are unauthorized access attempts to my fitness data.

Given an unauthorized access attempt to a patient's fitness data, When the system detects the breach, Then the patient must receive an immediate notification detailing the time and nature of the attempted breach.

As a healthcare provider, I want to ensure that any third-party integrations with the mobile health apps comply with data privacy standards.

Given a third-party integration request, When the integration is evaluated, Then it must be assessed for compliance with HIPAA and other relevant data privacy standards before implementation.

User-Friendly Data Visualization

User Story: As a healthcare provider, I want to easily visualize my patients' fitness data so that I can better communicate with them about their health and encourage positive changes.
Description: The User-Friendly Data Visualization requirement focuses on designing an intuitive and engaging interface that displays patient fitness and activity data in a visually appealing manner. This includes interactive charts, graphs, and dashboards that facilitate easy interpretation of data by healthcare providers and patients alike. A user-friendly interface will enhance user experience, promoting active engagement with the platform and allowing for quick insights into patients' physical activity levels. Well-designed visual representations of data are crucial for fostering understanding and encouraging informed discussions during health consultations.
Acceptance Criteria: Health Care Provider Visualizes Patient Activity Trends

Given a healthcare provider accesses the patient dashboard, when the provider selects the 'Activity Data' section, then the system displays an interactive graph indicating the patient's physical activity trend over the last 30 days.

Patient Views Personal Fitness Insights

Given a patient logs into their account, when the patient navigates to the 'Fitness Insights' page, then the system presents visually appealing charts showing their daily, weekly, and monthly physical activity levels with actionable insights.

Healthcare Provider Compares Patient Activity with Health Metrics

Given a healthcare provider is reviewing a patient's fitness data, when the provider compares it with the patient's health metrics (e.g., blood pressure, heart rate), then the system provides a comparative analysis in an easy-to-read format that aids in decision-making.

Data Visualization Accessibility for Different User Roles

Given different user roles accessing the CuraDesk platform, when users with different permissions (admin, healthcare provider, patient) view the activity and fitness monitoring data, then all users can interact with the data visualizations relevant to their role with appropriate security and functionality.

Interactive Dashboards Customize View Settings

Given a user is viewing the fitness data dashboard, when the user selects preferences for viewing data (e.g., time frame, type of activity), then the system allows the user to customize the dashboard display according to their settings, saving these preferences for future visits.

Trend Analysis Over Time

Given a healthcare provider is reviewing long-term patient activity data, when the provider selects the 'Yearly Trends' option, then the system generates a comprehensive report with visual representations of activity levels across multiple years, highlighting significant changes or patterns.

Mobile Responsiveness of Activity Visualizations

Given a patient accesses the platform on a mobile device, when the patient views their fitness and activity data, then the system ensures that the visualizations are fully responsive and maintain usability across various screen sizes.

Continuous Health Monitoring

A feature that enables real-time health monitoring, utilizing data collected from wearable health devices and mobile apps. This integration allows healthcare providers to proactively monitor patients' vital signs and health trends, facilitating timely interventions when necessary.

Requirements

Real-time Vital Sign Integration

User Story: As a healthcare provider, I want to access real-time vital sign data from patients' wearable devices so that I can monitor their health trends and take prompt actions when issues arise.
Description: This requirement focuses on the integration of real-time vital sign data from various wearable health devices and mobile applications into the CuraDesk platform. By establishing a robust API connection with these devices, the system will continuously collect and monitor key health metrics such as heart rate, blood pressure, oxygen saturation, and glucose levels. This integration will enable healthcare providers to access up-to-date health data, helping them make informed decisions and timely interventions when necessary, enhancing patient care and safety.
Acceptance Criteria: Integration of Vital Signs from Wearable Devices for Continuous Monitoring

Given a patient is wearing a compatible health monitoring device, when the device transmits data on heart rate, blood pressure, oxygen saturation, and glucose levels, then the CuraDesk platform must receive and display this data in real-time within 5 seconds.

Alerts for Abnormal Vital Signs

Given the real-time monitoring of patient vital signs, when any vital sign exceeds predefined thresholds, then the system must send an immediate alert to the assigned healthcare provider's dashboard and mobile app.

Data Historical Access for Healthcare Providers

Given that vital sign data has been collected over time, when a healthcare provider accesses a patient’s profile, then they must be able to view a historical log of vital sign readings for the past 30 days.

API Reliability During High-Volume Data Transmission

Given multiple patients are being monitored simultaneously, when data is transmitted from various devices, then the API must maintain a 99.9% uptime to ensure continuous data integration without loss of information.

User-Friendly Dashboard for Vital Sign Monitoring

Given that a healthcare provider is logged into the CuraDesk platform, when they navigate to the continuous health monitoring section, then the dashboard must visually display the patient's current vital signs in an easily interpretable format, using color coding for normal and abnormal readings.

Secure Data Transmission from Wearable Devices

Given that data is being collected from wearable devices, when the transmission occurs, then the data must be encrypted and comply with HIPAA regulations to ensure patient privacy.

Integration of User Feedback on Vital Sign Monitoring

Given that healthcare providers are using the real-time vital sign integration, when they provide feedback on system functionality, then at least 80% of the feedback must indicate that the system meets their needs for monitoring and decision-making.

Automated Alerts for Abnormal Readings

User Story: As a healthcare provider, I want to receive automated alerts for abnormal readings from patients' health data so that I can quickly respond to potential health issues and ensure patient safety.
Description: This requirement entails the development of an automated alert system that triggers notifications when health data collected from patients falls outside predefined thresholds. The alerts will be customizable based on patient-specific parameters and medical history. By implementing this feature, healthcare providers can be notified instantly of critical changes in a patient's condition, allowing for quicker response times and improved patient outcomes. This proactive approach aims to prevent potential health crises before they escalate.
Acceptance Criteria: Triggering alerts for a patient's vital signs exceeding thresholds in real-time during a routine health check-up by a healthcare provider.

Given the patient has connected their wearable device, when the vital signs exceed predefined thresholds, then an automated alert should be triggered and sent to the assigned healthcare provider's dashboard.

Customizing alert parameters for individual patients based on their unique medical history and conditions.

Given a healthcare provider is setting alert parameters for a specific patient, when the provider sets the thresholds based on patient history, then the system must save these parameters and trigger alerts accordingly.

Monitoring the effectiveness of alerts by assessing response times of healthcare providers.

Given an alert has been triggered, when a healthcare provider receives the alert, then the response time must be logged, and should not exceed 5 minutes for critical alerts.

Evaluating user feedback on the relevance and timeliness of alerts to improve system performance.

Given healthcare providers are using the alert system, when a feedback survey is conducted, then at least 80% of users should respond positively regarding the alerts' relevance and timely notifications.

Integrating the automated alerts with existing hospital management information systems for seamless operational flow.

Given the CuraDesk platform is integrated with the hospital's management system, when an alert is triggered, then the alert information must be logged automatically in the patient's electronic health record.

Testing the system under scenarios of fluctuating network conditions to ensure alert delivery consistency.

Given the system is functioning under varied network conditions, when vital signs exceed thresholds, then alerts must be delivered to providers without more than a 10-second delay.

Ensuring alerts can be escalated to other medical staff if the primary healthcare provider does not acknowledge them in a timely manner.

Given an alert has been triggered, when the primary healthcare provider does not acknowledge the alert within 5 minutes, then the system should escalate the alert to the next available medical staff member.

User-friendly Dashboard for Monitoring

User Story: As a healthcare provider, I want a user-friendly dashboard that displays real-time patient health data so that I can easily track their health trends and make informed treatment decisions.
Description: This requirement involves creating a user-friendly dashboard that consolidates all health monitoring data into a visually appealing and easily navigable interface. The dashboard will allow healthcare administrators and providers to view real-time trends, historical data, and actionable insights at a glance. Features such as data visualization, filtering options, and comparison tools will enhance the user experience, making it easier to track patient health over time and facilitate data-driven decision-making.
Acceptance Criteria: User logs into the CuraDesk platform to access the Continuous Health Monitoring dashboard after a patient is successfully registered for health monitoring.

Given the user is logged in to the CuraDesk platform, when they navigate to the Continuous Health Monitoring dashboard, then the dashboard should display a summary of all patients currently being monitored with their most recent health data.

Healthcare provider needs to analyze historical health trends of a specific patient to adjust their treatment plan.

Given the provider selects a specific patient from the dashboard, when they view the historical health data, then the dashboard should present a graphical representation of the patient's vital signs over the past six months with clear indicators for any significant trends or anomalies.

Administrator requires a quick overview of patient health status to prepare for a daily briefing.

Given the administrator is on the Continuous Health Monitoring dashboard, when they use the filtering options to sort patients by their health status, then the dashboard should update in real-time to show only those patients that meet the selected health criteria, such as those with elevated heart rates or abnormal blood pressure readings.

Provider wants to compare the health data of multiple patients to identify potential health risks across a cohort.

Given the provider has selected multiple patients, when they click on the comparison tool, then the dashboard should display a side-by-side comparison of the selected patients' latest health metrics in a clear and accessible format.

A mobile app user wants to check their health monitoring results and share them with their doctor during a visit.

Given the user opens the CuraDesk mobile app and navigates to the health monitoring section, when they click the share button, then the app should allow them to share their current health metrics via email or messaging apps to their healthcare provider, with all relevant data easily accessible.

Healthcare provider needs to quickly spot critical alerts in patient health data to respond effectively.

Given the dashboard has a set of predefined alerting parameters for patient health metrics, when a patient’s data breaches these parameters, then the dashboard should highlight those alerts in real-time with visual indicators for immediate attention.

An administrator wants to ensure that the dashboard interface is easy to navigate for new healthcare staff.

Given a newly onboarded healthcare staff is using the dashboard for the first time, when they complete a guided tour of the main features, then they should be able to locate essential elements such as filtering options, data visualization tools, and patient comparison tools without assistance.

Patient Consent Management

User Story: As a patient, I want to easily provide consent for my health data to be monitored so that I can ensure my privacy is respected while receiving quality healthcare.
Description: This requirement addresses the need for an efficient patient consent management system within the CuraDesk platform. It will allow patients to electronically provide consent for their health data to be collected and monitored through wearable devices and apps. This feature will enhance patient trust and comply with healthcare regulations concerning data privacy and consent management, ensuring that patients have control over their personal health information and are informed about how it is being used.
Acceptance Criteria: Patient initiates the consent management process during their first visit at the hospital through the CuraDesk platform.

Given the patient is logged into their CuraDesk account, when they access the 'Consent Management' section, then they should be able to view a list of all consents required for wearable device data collection, and have the option to provide or withdraw consent for each item.

Healthcare provider reviews the consent status of a patient before initiating continuous health monitoring.

Given the healthcare provider is logged into the CuraDesk platform, when they view the patient’s profile, then they should see a clear indicator of the consent status for health data monitoring, including the date and time the consent was given or withdrawn.

Patient wants to withdraw consent for health data collection after initially consenting.

Given the patient is logged into their CuraDesk account, when they navigate to the 'Consent Management' section and select 'Withdraw Consent,' then they should receive a confirmation prompt, and upon confirming, their consent status should update to 'Withdrawn' immediately.

A healthcare provider needs to send a notification to a patient about the implications of their consent choices regarding their health data.

Given the healthcare provider accesses a patient's consent information, when they select to send a notification, then the patient should receive a detailed message outlining the implications of consent choices via the CuraDesk messaging system.

Patient reviews how their consent data is managed within the CuraDesk platform.

Given the patient is logged into their CuraDesk account, when they select the 'Consent Overview' option, then they should see a detailed summary of what personal data is collected, how it is used, and their consent history with clear timestamps to ensure transparency.

Healthcare administrators need to generate a report on patient consent status to ensure compliance with healthcare regulations.

Given the administrator accesses the reporting feature within the CuraDesk platform, when they generate a consent report, then the report must include real-time statistics on consent forms signed, consent withdrawn, and overall compliance percentage of monitored patients.

A patient receives an automated reminder to review or update their consent settings.

Given the patient has set their notification preferences, when the scheduled time arrives, then the patient should receive an automated reminder through email or SMS prompting them to review their consent preferences on the CuraDesk platform.

Data Analytics for Health Trends

User Story: As a healthcare provider, I want to analyze health trends from patient data so that I can identify potential health risks and develop tailored treatment plans.
Description: This requirement focuses on implementing advanced data analytics capabilities to analyze health trends based on the collected data from wearable devices and patient records. The analytics feature will identify patterns, correlations, and potential health risks over time, providing valuable insights for healthcare providers. This functionality will support preventative care strategies and tailored treatment plans based on individual patient needs, thus improving overall healthcare delivery.
Acceptance Criteria: As a healthcare provider, I want to monitor a patient's vital signs in real-time using data from their wearable health device, so I can make timely interventions when necessary.

Given that the patient is wearing a connected health device, when vital sign data is sent to the CuraDesk platform, then the analytics dashboard should display the latest vital sign readings within seconds.

As a healthcare administrator, I want to view aggregated health trends of all patients to identify potential health risks over time, so I can allocate resources efficiently.

Given that data from wearable devices have been collected over the past week, when I access the health trends report, then the report should illustrate patterns and correlations by utilizing clear graphs and charts.

As a healthcare provider, I want to receive alerts based on specific thresholds of vital signs, so I can act quickly when a patient's health is deteriorating.

Given that the system has predefined thresholds for each vital sign, when a patient's readings exceed these thresholds, then the system shall send an immediate alert to the healthcare provider's dashboard and mobile application.

As a patient, I want to receive feedback and trends about my health metrics, so I can understand my health condition better and stay engaged in my care.

Given that my health data has been monitored for a month, when I log into the patient portal, then I should be able to view trends of my vital signs alongside personalized health insights and recommendations.

As a healthcare provider, I want to generate personalized treatment plans based on data analytics findings, to provide tailored care to my patients.

Given that the analytics system identifies potential health risks from the data, when I access the treatment planning module, then I should see suggested treatment plans that consider the noted trends and patient history.

As a healthcare administrator, I want to analyze the effectiveness of preventative care strategies implemented based on health trends, so I can justify resource allocation.

Given that preventative strategies were put into place for certain demographic groups, when I analyze the outcome data over a six-month period, then I should see a significant reduction in emergency visits related to preventable conditions within that group.

As a healthcare provider, I want to conduct follow-up assessments to evaluate patient health improvements over time, making necessary adjustments to treatment plans based on continuous data.

Given that a patient's data has been monitored for three months, when I review their health metrics, then I should be able to compare their initial and current readings, and make informed decisions on adjusting their treatment plan accordingly.

Custom Health Goals Tracker

Allows patients to set and track personalized health goals using data from their mobile health apps. This feature boosts patient engagement by making it easier for individuals to monitor progress and stay motivated, ultimately leading to better health management and outcomes.

Requirements

Goal Setting Interface

User Story: As a patient, I want to easily set my health goals so that I can track my progress and stay motivated toward achieving better health.
Description: The Custom Health Goals Tracker must include a user-friendly interface that allows patients to easily set their personalized health goals. This interface should accommodate various types of goals, such as weight loss, exercise frequency, or medication adherence. The design should ensure accessibility and provide clear instructions for use, enhancing user engagement and satisfaction. The implementation of this requirement will empower patients to take control of their health by establishing achievable targets, thereby fostering a sense of ownership over their wellness journey. The expected outcome is a significant increase in user interaction with the health tracking feature, leading to improved health outcomes.
Acceptance Criteria: Patient sets a goal for weight loss through the Goal Setting Interface in CuraDesk.

Given a logged-in patient user, when they access the Goal Setting Interface and select 'weight loss' as their goal type, then they should be able to enter specific weight loss targets and target dates, and the system should save this information successfully.

Patient edits an existing health goal within the Goal Setting Interface.

Given a logged-in patient user with an existing health goal, when they access the Goal Setting Interface, edit the goal details (type, target, or date), and save the changes, then the system should reflect the updated goal in their profile immediately.

Patient views progress on their health goals using the tracking feature in CuraDesk.

Given a logged-in patient user with set health goals, when they navigate to the progress tracking section of the platform, then they should see a visual representation of progress towards each goal, including percentage completion and any milestones achieved.

Patient receives reminders for their health goals set in the Goal Setting Interface.

Given a logged-in patient user who has set health goals, when the goal's target deadline approaches (within 3 days), then the system should send a reminder notification via the preferred communication channel (email/mobile) to encourage goal adherence.

Patient accesses the accessibility features of the Goal Setting Interface.

Given a logged-in patient user, when they access the Goal Setting Interface, then they should find options for larger text, voice commands, and color contrast settings to accommodate various disabilities and enhance usability.

Patient shares their health goals with a healthcare provider from the Goal Setting Interface.

Given a logged-in patient user, when they select the option to share their health goals with a healthcare provider, then the system should allow sending the goal details securely and notify the healthcare provider successfully.

Progress Tracking Dashboard

User Story: As a patient, I want to see my progress toward my health goals so that I can stay motivated and make any necessary adjustments to my activities.
Description: A comprehensive dashboard is required for the Custom Health Goals Tracker, allowing patients to view their progress toward their health goals at a glance. This dashboard should integrate data from mobile health apps and present it in an easily digestible format, including visual representations such as graphs and charts. The functionality should include the ability to view historical data, set milestones, and receive notifications or reminders as they approach their goals. The goal of this requirement is to enhance patient motivation and accountability by providing a visual summary of their health journey and the effectiveness of their chosen strategies. An effective progress tracking dashboard will contribute to increased user satisfaction and retention.
Acceptance Criteria: Viewing Progress on Health Goals

Given a patient is logged into the CuraDesk platform, when they navigate to the Progress Tracking Dashboard, then they should see a summary of all their health goals and their current progress represented visually through graphs and charts.

Historical Data Access

Given a patient is on the Progress Tracking Dashboard, when they select the option to view historical data, then they should be able to see their past progress on each health goal over a defined time period.

Setting Milestones for Goals

Given a patient is viewing their health goal details, when they choose to set milestones, then they should be able to add, edit, and delete milestones, which should be saved and reflected on the dashboard.

Notifications for Goal Reminders

Given a patient has set a health goal, when they approach the target date, then they should receive a notification or reminder through the CuraDesk platform and via email.

Integration with Mobile Health Apps

Given that the CuraDesk is connected with mobile health apps, when the patient updates their health data in those apps, then the Progress Tracking Dashboard should reflect the updated data within 5 minutes.

User Engagement and Motivation Assessment

Given that patients have access to the Progress Tracking Dashboard, when they interact with their goals over a period of time, then there should be measurable increase in their engagement metrics, such as frequency of logging in and goal completion rates.

Data Sync with Mobile Health Apps

User Story: As a patient, I want my health data to sync automatically with CuraDesk from my health apps so that I don’t have to manually enter it, saving time and ensuring accuracy.
Description: The Custom Health Goals Tracker must enable seamless synchronization with various mobile health apps, ensuring that data from fitness trackers, nutrition apps, and other health-monitoring tools can be automatically imported into the CuraDesk platform. This requirement is crucial for providing a holistic view of a patient’s health journey, as it eliminates the need for manual data entry and reduces entry errors. The integration will also promote a comprehensive understanding of how different aspects of health contribute to achieving overall health goals, ultimately resulting in enhanced patient engagement and better health management outcomes. The expected outcome is a smooth user experience that fosters increased interaction with the health tracking features of CuraDesk.
Acceptance Criteria: User connects their fitness tracker to the CuraDesk platform to track their physical activity towards personal health goals.

Given a user has a compatible fitness tracker connected, when they log into the CuraDesk platform, then the latest activity data should automatically sync within 5 minutes of logging in.

A patient updates their dietary information in a nutrition app, which they have linked to the CuraDesk platform.

Given a user updates their nutrition app with new dietary information, when the sync is triggered, then the updated nutrition data should be reflected in the CuraDesk platform within 10 minutes.

A healthcare administrator reviews a patient’s health goals based on synced data from various health apps.

Given a patient has multiple health apps connected to CuraDesk, when the administrator views the patient's health goals, then they should see a comprehensive overview of all synced health data.

A patient receives notifications regarding their health progress based on data from integrated health applications.

Given a patient has set health goals in CuraDesk and has connected health apps, when their health data changes, then they should receive a notification within 15 minutes of the data sync.

A patient attempts to disconnect a mobile health app from their CuraDesk account.

Given a patient is logged into their CuraDesk account, when they choose to disconnect a mobile health app, then the app should be removed from their account immediately without errors or delays.

A user checks the history of synced health data in the CuraDesk platform.

Given that a user has synced health data over time, when they navigate to the health data history section, then they should see all synced data points displayed chronologically with timestamps.

Unified Interface Design

A cohesive and intuitive user interface across all devices and platforms, ensuring that users can seamlessly navigate CuraDesk whether they are on a desktop, tablet, or mobile device. This feature enhances usability by providing a consistent experience, reducing the learning curve and allowing medical staff and patients to interact with the platform effortlessly, regardless of their preferred device.

Requirements

Responsive Design

User Story: As a healthcare administrator, I want the CuraDesk interface to adapt smoothly to my mobile device so that I can access patient information on-the-go without losing any functionality, enhancing my efficiency during busy hours.
Description: The responsive design requirement ensures that the CuraDesk interface adapts seamlessly to various screen sizes and orientations. This functionality is crucial for providing users with an optimal viewing experience, reducing the need for excessive scrolling and resizing, and allowing medical staff to efficiently access and manage patient information. By implementing responsive design principles, the platform will enhance usability, eliminate potential frustration, and improve overall satisfaction for both healthcare providers and patients, regardless of their device type.
Acceptance Criteria: Navigation on Desktop Devices

Given a user is accessing the CuraDesk platform on a desktop, when they resize the browser window to different resolutions, then the interface should automatically adjust to provide an optimized view without horizontal scrolling or content overlap.

Navigation on Tablets

Given a user is utilizing CuraDesk on a tablet in both portrait and landscape orientations, when they switch between orientations, then the layout should seamlessly transition without loss of functionality or content accessibility.

Navigation on Mobile Devices

Given a medical staff member is using CuraDesk on a mobile device, when they access patient information, then the interface should present the information in a single-column layout that is easy to read and requires minimal scrolling.

Usability Testing

Given a group of healthcare professionals is conducting usability testing on the responsive design, when they perform common tasks on different devices, then at least 90% of participants should report satisfaction with the navigation and usability.

Accessing Schedule and Billing Information

Given a user is viewing the schedule and billing information on a mobile device, when they select different tabs, then the content should load within 3 seconds without requiring any manual resizing or additional scrolling.

Cross-Device Consistency

Given a user logs into CuraDesk from different devices, when they access the same feature, then the interface should maintain a consistent visual style and functionality across all device types.

Error Handling

Given a user attempts to fill out a form on a smaller screen, when an error occurs due to input validation, then the interface should clearly indicate the error and provide a user-friendly message to guide correction without disrupting the overall layout.

Cross-Platform Consistency

User Story: As a nurse, I want the CuraDesk interface to look and function the same on my tablet as it does on my desktop so that I can switch devices without having to relearn how to use the application, saving time during my shift.
Description: This requirement focuses on maintaining a consistent look and feel across all platforms, including desktops, tablets, and mobile devices. By ensuring that buttons, menus, and navigational elements function similarly across devices, users will have a unified experience that minimizes confusion. This consistency will help reduce errors in navigation and usage, ultimately leading to a smoother workflow for medical staff who transition between various devices throughout their workday.
Acceptance Criteria: Desktop users can access CuraDesk, navigate through the main menu, and successfully complete a patient admission process without confusion.

Given a user is on a desktop device, When they click on the 'Admit Patient' button, Then the user should be directed to the admission form with consistent labels and fields as seen on mobile and tablet devices.

Tablet users can schedule an appointment using CuraDesk, ensuring the interface is responsive and intuitive compared to the desktop experience.

Given a user is on a tablet device, When they access the appointment scheduling feature, Then the interface should display all buttons and fields identical to the desktop version, ensuring functionality is consistent across platforms.

Mobile users can easily navigate through patient records, ensuring that functionality and design are consistent with other devices.

Given a user is on a mobile device, When they access patient records, Then they should encounter the same layout, terminology, and interaction flow as on desktop and tablet versions, ensuring no discrepancies in user experience.

Users switch from a desktop to a mobile device to enter patient notes and details, assessing the similarity in interaction and layouts.

Given a user has just completed a task on a desktop device and switches to a mobile device, When they access the 'Patient Notes' section, Then the layout and functionality should reflect the same design as on the desktop, ensuring continuity in user experience.

New users are onboarded to CuraDesk using various devices, evaluating the learning curve associated with the interface.

Given a new user is using a desktop, tablet, or mobile device, When they complete a guided tour of the main features, Then they should report no significant differences in functionality or layout that would affect their understanding of the platform.

Support staff utilize CuraDesk across devices to assist users, confirming ease of training for staff.

Given a support staff member is using a desktop, tablet, or mobile device, When they attempt to demonstrate a feature to clients, Then they should be able to showcase the same interface and functionalities with minimal adjustment or confusion regardless of the device.

Intuitive Navigation

User Story: As a medical staff member, I want to quickly find patient records and schedules in CuraDesk so that I can provide timely care without wasting time navigating through cumbersome menus.
Description: The intuitive navigation feature aims to simplify the user journey within the CuraDesk platform. By implementing clear pathways to access critical functions, users will be able to find what they need quickly and effortlessly. This includes the integration of context-aware menus, quick access buttons, and search functionalities tailored to the needs of healthcare users. By reducing the number of clicks and complexity of accessing information, this requirement enhances operational efficiency and user satisfaction.
Acceptance Criteria: User access points in the CuraDesk platform for emergency alerts during patient admission.

Given a healthcare user accesses the platform, when they click on the 'Emergency Alerts' button, then they should be directed to a dedicated section displaying all emergency alerts within 3 seconds.

Medical staff searching for patient records using the search functionality.

Given a medical staff member inputs a patient's name in the search bar, when they hit 'search', then the system should display relevant patient records within 2 seconds, with options to filter by date, medication, or status.

Patients checking their appointment schedule on different devices.

Given a patient logs in to their account from either a mobile device or desktop, when they navigate to the 'Appointments' section, then they should see a consistent layout and be able to view their appointments without any discrepancies.

Healthcare administrators accessing the billing section of CuraDesk for financial reports.

Given a healthcare administrator selects the 'Billing' section, when they click on 'View Reports', then they should be able to access the financial reports without encountering more than 3 clicks from the main dashboard.

Users accessing context-aware menu options based on their roles within the CuraDesk platform.

Given a user logged in as a nurse, when they navigate to the 'Patient Care' section, then they should see menu options relevant to nursing tasks, such as 'Medication Administration' and 'Patient Assessment'.

Users interacting with the quick access buttons for frequently used functions.

Given a user is on the CuraDesk dashboard, when they click the 'Schedule Appointment' quick access button, then they should be taken directly to the scheduling interface without unnecessary steps or delays.

First-time users navigating the platform during orientation training.

Given a first-time user accesses CuraDesk during orientation, when the orientation guide is activated, then it should provide step-by-step navigation prompts for each key feature within the first 5 minutes of usage.

Accessibility Features

User Story: As a healthcare provider, I want CuraDesk to be accessible for all staff, including those with visual impairments, so that everyone can contribute to patient care effectively.
Description: The accessibility features requirement emphasizes making CuraDesk usable for all individuals, including those with disabilities. This includes implementing screen reader compatibility, keyboard navigation support, and customizable text sizes. By addressing these needs, the platform will ensure that all users, regardless of their abilities, can effectively interact with the system. This inclusivity not only aligns with legal standards but also demonstrates commitment to quality care and service for all users, enhancing the overall value proposition of CuraDesk.
Acceptance Criteria: User with visual impairment accesses CuraDesk on a desktop computer using a screen reader to manage patient appointments.

Given the user has a screen reader enabled, when the user navigates the appointment management section, then all text and buttons are properly read aloud and accessible without missing information or functionality.

A user with mobility restrictions utilizes CuraDesk on a tablet without a mouse or touch screen to complete billing tasks.

Given the user is using only keyboard navigation, when the user attempts to navigate the billing section, then all navigation elements are accessible via keyboard shortcuts and all functionalities can be executed without a mouse.

A parent with low vision uses CuraDesk on a mobile device to access their child’s medical records during a hospital visit.

Given the user selects text size customization in the accessibility settings, when the user adjusts the text size, then all text throughout the application should be resized accordingly while maintaining readability and layout integrity.

A healthcare administrator uses CuraDesk on various devices (desktop, tablet, mobile) to oversee patient assignments.

Given the user accesses the platform on different devices, when navigating through user interfaces, then the design remains consistent across all platforms, ensuring no functionalities are lost or altered.

A user with hearing impairment accesses CuraDesk during a telehealth appointment to review instructions.

Given the user is on a telehealth session, when the confirmation instructions are displayed, then all visual elements and notifications should convey information clearly without relying solely on audio cues.

A user adjusts their accessibility settings within CuraDesk to suit their individual needs during a busy shift at the hospital.

Given the user accesses the accessibility settings, when they make changes to keyboard navigation or screen reader compatibility, then those changes should be saved and persist through subsequent logins.

A nurse accesses CuraDesk to perform an emergency patient status update from a mobile device in a critical care unit.

Given the nurse is using the mobile device, when they initiate a status update through keyboard navigation or screen reading, then the process should be quick, efficient, and not hindered by interface complexity, allowing for fast responses in critical situations.

User Feedback Mechanism

User Story: As a healthcare administrator, I want to provide feedback on the CuraDesk interface so that I can help improve the system to better suit our team's needs over time.
Description: This requirement involves implementing a user feedback mechanism within the platform, allowing users to quickly share their thoughts on usability and functionality. Feedback can be collected via surveys, in-app ratings, or comment sections. This feature is vital for continuous improvement, enabling the development team to identify pain points and make necessary adjustments in real-time. By actively seeking user input, CuraDesk will foster a user-centered design approach that adapts to the evolving needs of healthcare professionals.
Acceptance Criteria: User submits feedback through an in-app feedback survey after completing a task on the CuraDesk platform.

Given a user completes a task, when they are prompted to submit feedback, then the feedback is successfully recorded and acknowledged by the system.

Healthcare staff submit ratings regarding the usability of the CuraDesk platform via a star rating system available on all pages.

Given a user is on any page of the CuraDesk platform, when they click on the rating icon, then they should be able to submit a rating successfully and receive a confirmation message.

Users access the feedback comment section to provide detailed input on their experience with CuraDesk.

Given a user is on the feedback section, when they enter comments into the provided text area and submit, then the comments should be stored in the database without errors and return a success message.

The development team reviews the collected feedback to identify usability pain points and usability issues.

Given feedback is collected over a specified time period, when the team analyzes the data, then they should generate a report that highlights at least three major issues identified from user feedback.

Users receive periodic reminders to provide feedback on the CuraDesk platform after key interactions.

Given a user has completed significant interactions, when the reminders are triggered, then users receive a notification that encourages them to provide feedback within 24 hours.

Administrators configure the feedback mechanism settings, such as survey frequency and visibility across the platform.

Given an administrator accesses the settings page, when they modify the configuration options, then those changes should save successfully and reflect in the user interface as expected.

End users can view a summary of previously submitted feedback to reflect on past experiences.

Given a user navigates to the feedback summary page, when they open this page, then they should visually see a comprehensive list of their feedback submissions along with the dates and statuses.

Progressive Web App (PWA) Support

Enable CuraDesk to function as a Progressive Web App, allowing users to access the platform directly through their web browsers without the need for downloadable applications. This feature improves accessibility as it reduces barriers to entry, enabling users to engage with their healthcare tasks instantly, anytime, and from any device with internet access.

Requirements

Offline Mode Functionality

User Story: As a healthcare administrator, I want to access CuraDesk even when I have no internet connection, so that I can continue managing patient data without interruptions regardless of network availability.
Description: This requirement outlines the need for an offline mode within the Progressive Web App (PWA) support for CuraDesk. Users should be able to access essential features and previously loaded data without an internet connection. This functionality will greatly enhance user experience in areas with unstable networks and ensure continuity of patient management tasks. The offline mode will also sync with the server once the internet connection is restored, ensuring that all updates are captured and reflected accurately in the system.
Acceptance Criteria: User accesses CuraDesk while traveling in an area with no internet connectivity and needs to continue updating patient data.

Given that the user has previously loaded data, When the user tries to access the offline mode, Then the PWA should display the previously loaded patient data and allow the user to make updates without an internet connection.

A healthcare administrator needs to review patient histories while in a location with limited network coverage.

Given that the user is in offline mode, When they attempt to access patient history data, Then the system should retrieve the last available patient history data and allow the user to view it.

The user completes updating patient records while in offline mode, and an internet connection becomes available.

Given that the user has made updates in offline mode, When the internet connection is restored, Then the system should automatically sync with the server and reflect all updates made during offline access.

A user starts a new appointment scheduling process while offline and later regains internet access.

Given that the user is in offline mode, When they schedule a new appointment, Then the appointment should be saved locally and synced with the server once the internet connection is restored.

A nurse updates medication records offline and wants to ensure they are saved correctly.

Given that the user is in offline mode, When they complete the medication record update, Then the system should confirm that the update has been saved locally and is pending sync when connectivity is restored.

A user attempts to access CuraDesk when their device is offline for an extended period.

Given that the user has not accessed the system online for more than 24 hours, When they try to log in while offline, Then the PWA should allow them to access offline features without requiring re-authentication until connectivity is restored.

A family member wants to access crucial medical information for a patient while visiting a remote area with unstable internet.

Given that the user accesses the PWA under offline conditions, When they try to view critical medical information previously loaded, Then the information should be retrievable without errors, ensuring timely access to medical data.

Responsive Design Implementation

User Story: As a user of CuraDesk, I want the platform to display correctly on my phone, tablet, and desktop, so that I can efficiently manage healthcare tasks on any device I choose to use.
Description: To ensure optimal performance on various devices, this requirement focuses on implementing a fully responsive design for the PWA. The design should adapt seamlessly to different screen sizes, including smartphones, tablets, and desktops. This will not only improve accessibility but also enhance user satisfaction by providing a consistent and efficient experience across all devices. The responsive design will involve re-evaluating UI components to ensure functionality remains intact regardless of the device used.
Acceptance Criteria: User accesses CuraDesk PWA on a smartphone and completes a patient scheduling task.

Given the user is on a smartphone, when they open the CuraDesk PWA, then the user interface should adjust to fit the screen and all scheduling functionality should be accessible without zooming or scrolling horizontally.

User accesses CuraDesk PWA on a tablet and retrieves patient records.

Given the user is on a tablet, when they navigate to the patient records section, then the layout should adapt to utilize the larger screen space effectively, displaying records in an organized manner without loss of functionality.

User accesses CuraDesk PWA on a desktop to generate a billing report.

Given the user is on a desktop, when they select the billing report option, then the page should display all features and data in a user-friendly format tailored for desktop viewing, ensuring easy use of all reporting tools.

User switches between different devices while using CuraDesk PWA for real-time patient tracking.

Given the user has logged in on one device, when they log in on a different device, then their session should resume seamlessly with all tracking information intact and visible without needing to refresh or lose data.

User interacts with the PWA using voice commands on a mobile device.

Given the user is on a mobile device, when they issue voice commands to navigate or request information in the CuraDesk PWA, then the app should accurately respond and navigate to the requested features without errors or delays.

User accesses CuraDesk PWA offline and later reconnects to the internet.

Given the user had accessed the CuraDesk PWA offline, when they reconnect to the internet, then any changes made offline should sync automatically with the server without user intervention.

Push Notification Capability

User Story: As a healthcare professional, I want to receive push notifications from CuraDesk about important updates, so that I can respond promptly to changes in patient care or scheduling without having to constantly check the application.
Description: This requirement involves integrating push notification support into the PWA version of CuraDesk, allowing users to receive real-time alerts and updates about patient status, scheduled appointments, and critical reminders. This feature is crucial for enhancing proactive healthcare management and ensuring that healthcare providers are informed instantly about significant events that require their attention. Push notifications will promote timely actions and improve patient care outcomes.
Acceptance Criteria: User receives real-time notifications about patient admissions via the PWA during their shift.

Given a healthcare provider is logged into the CuraDesk PWA, when a new patient is admitted to the hospital, then a push notification should be sent to the user's device instantly.

User is informed about upcoming appointments through push notifications in the PWA.

Given a user has scheduled appointments, when the appointment time is within 30 minutes, then a push notification should be triggered to remind the user.

User receives alerts for critical patient status changes while using the PWA.

Given a healthcare provider is actively using the CuraDesk PWA, when there is a critical change in a patient's status (e.g., deterioration), then a push notification should be sent immediately to alert the user.

User can customize push notification settings via the CuraDesk PWA.

Given a user wishes to manage their notification preferences, when they access the notification settings within the PWA, then they should be able to enable or disable notifications for different types of alerts (e.g., patient status, appointments, reminders).

User receives a confirmation when a push notification is successfully delivered on the PWA.

Given a user has enabled push notifications, when the system sends a notification, then the user should receive an acknowledgment that the notification was delivered successfully.

User can view a history of received push notifications in the CuraDesk PWA.

Given a user is logged into the CuraDesk PWA, when they navigate to the notifications history section, then they should see a list of all received push notifications with timestamps.

User experiences no delays in push notifications while using the CuraDesk PWA.

Given the healthcare provider is using the CuraDesk PWA, when a notification event occurs, then the push notification should be delivered within 5 seconds without delay.

User Authentication and Security Protocols

User Story: As a clinic manager, I want to ensure that only authorized staff can access CuraDesk, so that I can protect sensitive patient information from unauthorized exposure.
Description: Implementing robust user authentication and security protocols is essential for protecting sensitive healthcare data accessed through the PWA. This requirement mandates the use of multi-factor authentication (MFA) and secure login mechanisms to ensure that only authorized personnel have access to patient information on the CuraDesk platform. This will help build trust with users that their data is handled securely, which is paramount in the healthcare industry.
Acceptance Criteria: User Authentication via Multi-Factor Authentication (MFA) during login.

Given a user is on the CuraDesk login page, when they enter their username and password, then they should be prompted to enter a second form of authentication (e.g., SMS code or authentication app code) before being granted access to the platform.

Secure login mechanisms with encrypted credentials.

Given a user initiates login on the CuraDesk platform, when the login information is transmitted, then the credentials should be encrypted in transit to prevent interception during the log-in process.

User access control based on roles and permissions.

Given a user logs into CuraDesk, when their role is verified, then the system should restrict access to features and data according to the assigned permissions, ensuring only authorized personnel can view sensitive data.

Unsuccessful login attempts locking out users after multiple failures.

Given a user attempts to log in to CuraDesk but fails to enter the correct credentials, when three consecutive failed attempts occur, then the user account should be temporarily locked and the user should receive an email notification.

Session timeout for inactive users.

Given a user is logged into the CuraDesk platform, when there is no activity for 15 minutes, then the user should be automatically logged out and prompted to log back in to continue using the platform.

Password strength requirements during account creation and updates.

Given a new user is creating an account or an existing user is updating their password, when they enter a password, then the system should require a minimum of 8 characters, with at least one uppercase letter, one lowercase letter, one number, and one special character.

Offline Mode Functionality

This feature allows users to continue accessing and inputting vital information on CuraDesk even when offline. Data is then synchronized automatically once the device reconnects to the internet. This feature ensures that medical staff can maintain productivity and that patient care is not interrupted, especially in environments with unstable internet connections.

Requirements

Data Synchronization

User Story: As a hospital administrator, I want to ensure that medical staff can enter patient information and updates while offline, so that they can maintain accurate and timely records even in areas with poor internet connectivity.
Description: This requirement focuses on efficiently synchronizing the data entered while offline with the central database once the user reconnects to the internet. It includes establishing a robust mechanism to queue data changes, handle potential conflicts, and ensure data integrity throughout the synchronization process. Successful implementation will allow users to work in offline mode without fear of data loss, ensuring a seamless transition back to online operation. The expected outcome is that medical staff can trust the system to maintain accurate records regardless of their connectivity status, thus enhancing operational continuity and patient care.
Acceptance Criteria: Medical staff in a hospital are working in a remote area with limited internet access. They need to input patient information and treatment records into CuraDesk while offline to ensure they are up-to-date on all patient care tasks.

User Interface for Offline Mode

User Story: As a nurse, I want to see a clear indication of offline mode in the application, so that I can know what features are available and feel confident that my data will be saved.
Description: This requirement outlines the need to create a user-friendly interface that clearly indicates when the application is in offline mode. It should provide visual feedback on available offline features and allow users to understand what functionality is still accessible and how their input will be saved. The design must ensure that medical staff can easily navigate and perform necessary tasks without confusion. Implementation of this interface is crucial for minimizing user frustrations and ensuring that staff can continue their work effectively when internet access is compromised.
Acceptance Criteria: User Accessibility in Offline Mode

Given the application is in offline mode, when the user accesses the main interface, then a prominent offline notification banner should be displayed at the top of the screen to alert the user of offline status.

Feature Availability Indication

Given the application is in offline mode, when the user navigates to different sections of the app, then the interface should clearly indicate which features are still accessible and which are unavailable with appropriate icons or labels.

Data Input and Saving Mechanism

Given the application is in offline mode, when the user inputs data into any available section, then there should be a visible confirmation message indicating that the data will be saved locally until the device reconnects to the internet.

User Navigation Efficiency

Given the application is in offline mode, when the user attempts to navigate away from an input screen where data has not been saved, then an alert should prompt the user to save data or confirm navigation to prevent data loss.

Synchronized Data Preview

Given the application is back online, when the user returns to the main interface, then a prompt should appear to inform them that synchronization is in progress and how many unsynced entries will be uploaded.

Visual Feedback on Connectivity Status

Given the application is in offline mode, when the user is on the main dashboard, then the interface should have a visual status indicator that changes color or icon based on connectivity (e.g., disconnected vs. connected).

Support Documentation Access

Given the application is in offline mode, when the user seeks help or documentation, then the user should have access to cached support documents without needing internet connectivity.

Data Conflict Resolution

User Story: As a healthcare professional, I want a clear process for resolving data conflicts when I am back online, so that I can ensure the accuracy of patient information before it is finalized.
Description: This requirement addresses the scenarios where data entries made while offline may conflict with existing data once the device reconnects to the internet. A detailed protocol for conflict resolution must be established, including options for manual review and automated merging of data. This will ensure that any discrepancies in patient records are resolved promptly and accurately, thereby preserving data integrity and trust in the system. The implementation of this requirement is essential for maintaining the reliability of medical records as they are updated in real time.
Acceptance Criteria: Data Entry During Offline Access for Patient Records

Given a healthcare provider is entering patient data while offline, when the device reconnects to the internet, then the system should automatically attempt to synchronize the offline data with the server.

Automated Conflict Detection Upon Synchronization

Given that offline data has been entered and the device reconnects, when the synchronization process occurs, then the system should automatically identify any conflicting data entries based on timestamps and user ID.

Manual Review Option for Data Conflicts

Given there are data conflicts identified during synchronization, when the user is presented with a conflict report, then the system should allow the user to manually review and resolve each conflict before finalizing the data sync.

Automated Merging of Non-Conflicting Data

Given a scenario where some data entries do not conflict during synchronization, when the sync is initiated, then the system should automatically merge non-conflicting data entries without user intervention.

Reporting Mechanism for Data Conflicts

Given that conflicts have been resolved, when the process is completed, then the system should generate a report summarizing all conflicts, resolutions made, and the final state of the patient records.

User Notification of Data Sync Outcomes

Given the completion of the synchronization process, when the data merge is finished, then the system should notify the user of the outcomes, including any conflicts that were resolved or if any manual intervention is required.

System Performance During Sync Process

Given that a large volume of offline data needs to be synchronized, when the synchronization process is initiated, then the system should complete the sync within a predefined time limit without degrading performance of the application.

Offline Data Storage

User Story: As a clinician, I want to know that my entries are securely stored locally while offline, so that patient confidentiality is maintained and no data is lost during outages.
Description: This requirement specifies the need for a secure and efficient local storage system for data entry when the application is offline. The system must ensure that all types of data, including patient records, scheduled appointments, and billing information, are temporarily stored on the device with encryption to protect sensitive information. Upon reconnection, this data must be processed and synchronized securely with the online database. Ensuring robust offline storage is vital for user confidence and data security, especially in healthcare where sensitive information is handled regularly.
Acceptance Criteria: User enters patient information into the CuraDesk application while in a remote area without internet access.

Given the user is offline, when they input patient data into the application, then the data should be securely stored locally with encryption until the connection is reestablished.

User schedules a medical appointment in CuraDesk while the application is offline due to unstable internet connectivity.

Given the application is in offline mode, when the user saves the appointment details, then the appointment should be stored locally and should include all required fields (date, time, patient ID, etc.) with status marked as 'pending synchronization'.

User wants to retrieve previously entered patient information while the device is offline.

Given the user is offline, when they attempt to access previously entered patient data, then they should be able to view the data without requiring an internet connection, and the interface should clearly indicate that the data is in offline mode.

User attempts to synchronize stored data after regaining internet connectivity.

Given the user has reconnected to the internet, when the synchronization process begins, then all locally stored data should be sent securely to the online database without any data loss or corruption, and the user should receive a confirmation upon successful synchronization.

A user inputs billing information offline and wants to ensure it's stored securely until synchronization.

Given the application is offline, when billing information is entered, then the information must be encrypted and saved locally until the application is online, and the user should not be prompted for additional actions during offline mode.

Device Synchronization Alerts

Real-time notifications alerting users about updates made on other devices when they access CuraDesk across multiple platforms. This feature allows for greater collaboration among medical staff and enhances patient engagement, ensuring all parties are always working with the most current information available.

Requirements

Real-time Update Notifications

User Story: As a healthcare professional, I want to receive real-time alerts when updates are made on other devices so that I can stay informed about the latest patient information and collaborate more effectively with my team.
Description: Implement real-time notifications that will alert users on their devices when updates are made on CuraDesk from any other device. This will ensure that healthcare professionals are always aware of any changes, such as updates to patient information or scheduling changes, thereby facilitating better communication and collaboration among medical teams. A robust notification system will help prevent miscommunication, enhance workflow efficiency, and ultimately improve patient care outcomes. The notifications should be customizable, allowing users to specify which types of updates they wish to be alerted about, and should integrate smoothly with existing user interfaces and experience flows of the CuraDesk platform, ensuring a seamless user journey.
Acceptance Criteria: User receives a notification on their mobile device when patient information is updated on the desktop application by another staff member.

Given a staff member updates patient information on the desktop application, When another staff member opens the mobile application, Then the system should display an alert notification about the updated patient information in real-time.

Healthcare professionals can customize their notification preferences for different types of updates within CuraDesk.

Given the user navigates to the settings page in the CuraDesk application, When they select the notification preferences, Then they should be able to toggle alert options for patient updates, scheduling changes, and billing updates.

Notifications appear in the user interface without disrupting the current workflow of the healthcare professionals using the platform.

Given a notification is triggered by an update, When the user is using the platform, Then the notification should appear as a non-intrusive banner at the top of the screen without interrupting any active tasks.

The system logs all notification events to ensure traceability of updates.

Given a notification is sent to the user, When the user checks the notification history, Then the system should show a record of all notifications sent, including date, time, and type of update.

Healthcare professionals can receive notifications across multiple devices without lag or delay.

Given a staff member updates information on one device, When the same user accesses another device connected to CuraDesk, Then they should receive the update notification within 5 seconds.

User can turn off notifications for specific updates if they choose.

Given the user accesses their notification preferences, When they select to disable notifications for specific update categories, Then the user should not receive alerts for the disabled categories unless re-enabled.

Real-time notifications are tested under high-load scenarios to ensure performance.

Given multiple updates are made simultaneously on different devices, When users check their notifications, Then the system should deliver all alerts accurately and without noticeable delay.

Multi-Device Compatibility

User Story: As a busy doctor, I want to access my patient information and receive notifications on any of my devices so that I can make timely decisions no matter where I am.
Description: Ensure that the device synchronization alerts feature is compatible across various devices and operating systems (such as iOS, Android, and web browsers). This requirement is crucial because medical professionals often use multiple devices in different environments — at the hospital, home, or on-the-go. A consistent experience across devices will enable smoother functionality and engagement with the CuraDesk platform, ensuring that notifications are delivered promptly and reliably, regardless of the device being used. The integration must also consider different network conditions and user settings to maximize notification delivery and performance.
Acceptance Criteria: User receives synchronization alerts on their iOS device while simultaneously making updates on a desktop browser.

Given a user is logged into CuraDesk on both an iOS device and a desktop browser, when updates are made on the desktop, then the user should receive a notification on the iOS device within 2 seconds.

A physician updates patient information from an Android device and expects real-time updates on their web application.

Given a physician updates patient information using the Android app, when the same patient information is accessed on the web application, then the user should see the updated information reflected within 3 seconds.

A nurse switches between different operating systems (Windows, macOS) and needs to receive consistent alerts across all platforms.

Given a nurse accesses CuraDesk from both Windows and macOS devices, when changes occur on either device, then the alerts should display consistently and with the same format on both operating systems.

A user makes updates on a mobile device while experiencing unstable internet connectivity and needs assurance of synchronization.

Given a user makes updates on an Android device with intermittent internet connection, when the connection is restored, then all changes should be synchronized and alerts should be sent without discrepancies.

A healthcare administrator accesses CuraDesk from a web browser at work and from a tablet at home, expecting alerts about updates made between devices.

Given an administrator is logged into CuraDesk on a web browser at work and a tablet at home, when updates are made on either device, then notifications should be received on both devices without delay.

A medical team uses CuraDesk on various platforms (smartphones, tablets, and desktops) and expects alert notifications to be tailored to device types.

Given a medical team accesses CuraDesk from multiple types of devices, when alerts are generated for updates, then notifications should be formatted specifically for each device type, ensuring readability and accessibility.

A user relies on CuraDesk while moving between different locations (hospital, home) and requires uninterrupted notifications for ongoing patient care.

Given a user is logged into CuraDesk while transitioning between different locations and devices, when an update occurs, then the user should receive immediate notifications on the current device they are using, regardless of the previous device.

Custom Notification Settings

User Story: As a user of CuraDesk, I want to customize my notification preferences so that I only receive alerts that are relevant to my role and responsibilities, allowing me to focus on what matters most.
Description: Develop customizable notification settings that allow users to dictate the types of updates they wish to receive alerts for, as well as the mode of notification (e.g., push notifications, email alerts). This requirement will empower users to personalize their CuraDesk experience, ensuring that they are not overwhelmed with unnecessary alerts while still staying informed about critical updates. With an intuitive interface, users should be able to easily manage their notification preferences, adjusting them based on their changing roles or responsibilities within the hospital. This feature will enhance user satisfaction and efficiency, aligning with CuraDesk's goal of streamlining hospital management.
Acceptance Criteria: User Customization of Notification Preferences for Different Devices

Given a user accesses the notification settings in CuraDesk, when they customize their alert preferences for device-specific notifications, then these preferences should be saved and reflected across all devices upon the next login.

Validating Notification Modes for Different Types of Alerts

Given a user selects a specific type of notification (e.g., push notification or email), when they save their notification settings, then the selected mode should function correctly and deliver notifications accordingly for the designated updates.

User Experience in Adjusting Notification Preferences

Given a user navigates to the notification settings, when they adjust their preferences and save the changes, then an acknowledgment message should appear confirming that their customization was successful without any errors.

Testing Default Notification Settings for New Users

Given a new user registers for CuraDesk, when their account is created, then they should be assigned a default set of notification settings that align with typical user roles in a hospital environment.

Notifications for Critical Updates Based on Role Changes

Given a user updates their role within the CuraDesk system, when this change is implemented, then the user should receive notifications relevant to their new responsibilities without any manual adjustments.

User Feedback on Notification Preferences Interface

Given a user accesses the notification settings interface, when they provide feedback on the usability of the interface, then the collected feedback should be recorded and reviewed for potential enhancements in future iterations.

Integration Testing with Multiple Notification Channels

Given different notification channels configured (e.g., email, push notifications), when a test alert is triggered, then all configured channels should receive the notification simultaneously, confirming the integration works effectively.

Responsive Design Framework

Implementing a fully responsive design framework ensures that CuraDesk automatically adjusts its layout and functionality to fit any screen size or orientation. This feature allows for an optimal viewing and interaction experience, making it easier for users to access key functions whether they're using a smartphone in a hallway or a full-sized computer in an office.

Requirements

Fluid Layout Adjustment

User Story: As a healthcare administrator, I want CuraDesk to automatically adjust its layout for different devices so that I can easily access the information I need whether I'm on my smartphone or at my desk.
Description: The Fluid Layout Adjustment requirement ensures that the CuraDesk application provides a layout that dynamically adjusts to different screen sizes, orientations, and resolutions. This feature incorporates a flexible grid system and media queries to create a seamless experience across devices, from smartphones to desktop monitors. By adapting the content and UI components to fit the viewing device, this requirement enhances usability and accessibility, enabling healthcare professionals to efficiently access and interact with the application in various settings. This not only improves the user experience but also supports our mission of enhancing patient care through better user-centric design.
Acceptance Criteria: Accessing CuraDesk on a smartphone during patient rounds.

Given a user accesses CuraDesk on a smartphone, when the user navigates to the patient tracking section, then the layout should adapt to the screen size without horizontal scrolling and maintain readability of all text elements.

Using CuraDesk on a tablet in a staff meeting.

Given a user accesses CuraDesk on a tablet, when the user selects the billing integration feature, then the application should display all billing information within the visible area and allow for seamless interaction without requiring zooming or panning.

Utilizing CuraDesk on a desktop computer in the hospital administration office.

Given a user accesses CuraDesk on a desktop computer, when the user interacts with the automated scheduling tool, then the layout should display all scheduling options clearly and provide appropriate spacing between elements to avoid overlapping or confusion.

Viewing patient records on a laptop at a nurse's station.

Given a user accesses CuraDesk on a laptop, when the user searches for a patient record, then the application should resize the content effectively, ensuring that all relevant information is visible without necessitating scrolling beyond the initial view.

Navigating CuraDesk during a health emergency on any device.

Given a user accesses CuraDesk from any device while responding to an emergency, when the user opens the critical alert notifications, then the layout should prioritize visibility and quick access to the information, ensuring that essential actions can be taken immediately.

Reviewing CuraDesk analytics on a widescreen monitor in a data analysis meeting.

Given a user accesses CuraDesk on a widescreen monitor, when the user navigates to the analytics dashboard, then the application should utilize the screen real estate effectively, showing data visualizations without distortion and with clear legend explanations.

Conducting a training session on CuraDesk using various devices.

Given multiple users access CuraDesk on different devices during training, when they interact with the same feature, then the UI should consistently demonstrate responsiveness and functionality across all device types, allowing for an effective training experience.

Touch Gesture Integration

User Story: As a nurse, I want to use touch gestures on my tablet to quickly navigate through patient information so that I can respond to needs faster while on the move.
Description: The Touch Gesture Integration requirement focuses on enabling touch gestures for navigating and interacting with the CuraDesk platform on touch-enabled devices such as tablets and smartphones. This will enhance user experience by allowing users to swipe, pinch, and tap to perform various functions like scrolling through patient lists, zooming in on data, and transitioning between screens. Implementing this requirement not only aligns with modern interaction standards but also improves accessibility for users in fast-paced environments such as hospitals where quick interactions are essential for efficiency.
Acceptance Criteria: User interacts with the patient list on a tablet to access patient details and navigate through the list efficiently.

Given a user is on the patient list page, When they swipe left or right on the screen, Then the user should be able to move to the next or previous patient in the list.

A healthcare professional uses a smartphone to zoom in on specific patient data to read small text during a busy shift.

Given the user is viewing patient data on a smartphone, When they perform a pinch gesture, Then the display should zoom in and out accordingly, allowing readable text without distortion.

A nurse quickly switches between different functionalities of the CuraDesk application using touch gestures while attending to patients.

Given a user is accessing different sections of CuraDesk, When they perform a swipe gesture to the left or right, Then the application should smoothly transition to the corresponding section without lag.

An administrator schedules an appointment using a tablet to ensure responsive interaction during a discussion with a patient.

Given an administrator is on the scheduling page, When they tap and drag an appointment slot, Then the selected time slot should update immediately with visual feedback to confirm the selection.

A user attempts to navigate back to the main menu from a detailed patient view using touch gestures.

Given a user is in a detailed view of a patient's chart, When they swipe down from the top of the screen, Then the application should return to the main menu or previous screen without any errors.

Cross-Browser Compatibility

User Story: As a hospital IT manager, I want CuraDesk to work seamlessly on all major web browsers so that all staff members can use the platform effectively without technical issues.
Description: The Cross-Browser Compatibility requirement ensures that CureDesk performs consistently across major web browsers, including Chrome, Firefox, Safari, and Edge. This involves rigorous testing and potential adjustments to the codebase to address any discrepancies in how different browsers render the application. Meeting this requirement is crucial for ensuring all users, irrespective of their preferred browser, can utilize the full functionality of CuraDesk without facing layout issues or performance lags. This enhances user satisfaction and reduces the number of support requests related to accessibility issues.
Acceptance Criteria: User accesses CuraDesk on Chrome and verifies the layout renders correctly without any content overlap.

Given the user is on Chrome, when they access the CuraDesk application, then the layout should display correctly with no content overlap or misalignment.

User switches to Firefox and tests the application's functionality related to patient tracking features.

Given the user is using Firefox, when they navigate to the patient tracking section, then all features should function as expected without any browser-specific errors.

A healthcare administrator uses Safari on an iPad to create a new patient record and check for any layout issues.

Given the user is on Safari on an iPad, when they create a new patient record, then the interface should be fully responsive without any layout issues.

A user runs several functions simultaneously on Edge and observes the performance of the application.

Given the user is on Edge, when they perform multiple operations at once, then the application should maintain optimal performance without delays or crashes.

A QA tester reviews the application across all supported browsers to document any inconsistencies found during testing.

Given the QA tester is reviewing the application, when they test in Chrome, Firefox, Safari, and Edge, then any rendering discrepancies should be logged for review and addressed promptly.

Accessibility Features Compliance

User Story: As a visually impaired user, I want CuraDesk to be fully accessible with screen reader support so that I can effectively manage patient information without assistance.
Description: The Accessibility Features Compliance requirement mandates that the CuraDesk platform meets WCAG (Web Content Accessibility Guidelines) standards. This includes features such as keyboard navigation, screen reader support, and sufficient color contrast for text. Implementing these features not only aids users with disabilities but also enhances the overall usability of CuraDesk for all users. By prioritizing accessibility, CuraDesk demonstrates commitment to inclusivity, ensuring that all healthcare professionals can efficiently navigate and utilize the platform's capabilities, regardless of individual needs.
Acceptance Criteria: Keyboard Navigation for All Features

Given a user who relies on keyboard navigation, when they navigate through all features of the CuraDesk platform using only the keyboard, then they should be able to access all functions without the need for a mouse.

Screen Reader Support for Patient Tracking Page

Given a user utilizing a screen reader, when they access the patient tracking page of CuraDesk, then the screen reader should accurately read all information including patient names, status, and timestamps in a logical order.

Color Contrast for Dashboard Elements

Given a user with visual impairments, when they view the CuraDesk dashboard, then all text should have a contrast ratio of at least 4.5:1 against its background to ensure readability.

Mobile Accessibility Testing

Given a test of the CuraDesk mobile interface, when evaluated on various screen sizes, then all interactive elements should be appropriately sized and spaced to avoid accidental clicks and ensure usability.

Guidelines Compliance Checklist Review

Given a comprehensive review of the CuraDesk interface, when comparing the features against WCAG 2.1 guidelines, then all required criteria should be met or exceeded as documented in the compliance checklist.

Accessibility Help Section Evaluation

Given a user seeking assistance, when they access the accessibility help section of CuraDesk, then they should find clear and informative resources regarding accessibility features provided by the platform.

Dynamic Content Update Notifications

Given a user who utilizes assistive technologies, when dynamic content updates occur on the CuraDesk platform, then the user should receive appropriate notifications alerting them to the changes.

Performance Optimization

User Story: As a healthcare professional, I want CuraDesk to load quickly and respond without delays so that I can access vital information in real-time during patient care situations.
Description: The Performance Optimization requirement focuses on ensuring the CuraDesk platform loads quickly and operates smoothly, even when handling large datasets. This involves optimizing images, minimizing HTTP requests, and leveraging browser caching. Fast loading times and responsive interactions are critical in high-pressure healthcare settings where time is of the essence. By addressing performance, CuraDesk aims to improve user satisfaction and operational efficiency for healthcare providers, allowing them to focus on patient care rather than waiting for software to respond.
Acceptance Criteria: Performance Optimization for Patient Data Retrieval

Given that a healthcare provider needs to retrieve patient data from the CuraDesk platform, when the provider initiates the request, then the data must load within 2 seconds for 95% of requests regardless of the dataset size.

Image Optimization in Patient Profiles

Given that patient profiles contain images, when a user accesses a patient profile, then images must load in less than 500 milliseconds, and their size must be reduced by at least 70% without compromising quality.

Reducing HTTP Requests during Peak Usage

Given that the CuraDesk platform is being accessed by multiple healthcare providers simultaneously, when the platform is under load, then the total number of HTTP requests must be minimized to less than 100 requests per page load.

Browser Caching for Repeated Access

Given that a user frequently accesses the same pages on the CuraDesk platform, when the user revisits a page, then the page should load from the cache within 1 second on repeat visits.

Responsive Design Functionality on Mobile Devices

Given that a healthcare provider is using a mobile device to access CuraDesk, when the provider navigates through the platform, then all elements must maintain functionality and layout integrity without horizontal scrolling on screens smaller than 768 pixels.

Load Testing with Large Datasets

Given that CuraDesk is optimized for handling large datasets, when testing the load with 1,000,000 patient records, then the platform should maintain a response time of less than 3 seconds for data queries.

User Satisfaction on Software Responsiveness

Given the need for quick actions during patient care, when conducting user feedback surveys, then at least 85% of healthcare providers must report satisfaction with the loading speed and responsiveness of the CuraDesk platform.

Cross-Device Functionality

Enable seamless continuation of tasks across devices; for example, starting a patient consultation on a desktop and completing it on a mobile device. This feature streamlines workflows for medical staff and enhances the user experience for patients by providing flexibility and convenience in managing their healthcare interactions.

Requirements

Unified Session Management

User Story: As a healthcare professional, I want to start a patient consultation on my desktop and finish it on my mobile device so that I can offer flexibility in managing patient interactions and improve my productivity.
Description: The Unified Session Management requirement allows users to maintain a seamless session across various devices, enabling medical staff to initiate tasks on one device, such as a desktop, and continue on another, like a mobile device. This feature not only improves the workflow efficiency of healthcare professionals but also enhances patient experience by providing a consistent and uninterrupted service. By tracking user sessions and ensuring data remains accessible, the platform can effectively reduce patient wait times and improve overall satisfaction. The integration requires a robust backend system that synchronizes session data in real-time, ensuring that any changes made on one device are reflected instantly on others, thus maintaining data integrity and user continuity.
Acceptance Criteria: User starts a patient consultation on a desktop computer at the hospital and later continues the same session on a mobile device during a patient's bedside consultation.

Given a user is logged into CuraDesk on a desktop, When they start a patient consultation, Then they should be able to log in on a mobile device and continue the consultation from the same point without loss of data.

A healthcare professional makes updates to patient details on a mobile device while being away from the desktop, and later checks the updates on the desktop to ensure data consistency.

Given the user has updated patient details on a mobile device, When they log into CuraDesk on a desktop, Then the updated details should reflect accurately, ensuring data integrity.

During a team meeting, a nurse demonstrates how to start patient care documentation on one device and shift to another device to complete the task.

Given a nurse begins documenting patient care on a tablet, When they switch to a desktop in a meeting, Then all previously entered information should be available on the desktop for completion without any discrepancies.

An administrator checks session logs to verify that users can seamlessly transition between devices without session timeout or data loss.

Given a user has been active in a session, When they switch from one device to another, Then their session should remain active for 30 minutes without timeout.

A patient uses the CuraDesk patient portal on a mobile device and later accesses their health records on a tablet, ensuring that all changes are done in real-time.

Given a patient updates their information on a mobile device, When they access their records on a tablet, Then the updates should be reflected in real-time and available for view.

Healthcare staff frequently use different devices throughout their shift and need to ensure accumulated task lists are preserved between devices.

Given a healthcare staff member creates a task list on a desktop, When they access the platform from a mobile device, Then the task list should retain all entries and modifications done on the desktop.

A user switches devices while in the middle of recording patient medication history, requiring real-time synchronization of data.

Given a user is recording medication history on a mobile device, When they switch to a desktop without saving, Then the application should automatically save the session and allow the user to continue their work from the desktop seamlessly.

Device Synchronization Protocol

User Story: As a nurse, I want to access the latest information on patient status from any device, so that I can make timely decisions and deliver quality care without interruptions.
Description: The Device Synchronization Protocol requirement specifies the need for a secure and efficient communication method that ensures all devices used in the CuraDesk platform are in sync. This protocol should handle the data transfer of patient information, updates, and user actions in real-time, thus preventing any data loss and maintaining consistency across devices. By implementing this requirement, healthcare providers can ensure that all relevant parties are updated simultaneously on patient status, scheduling changes, and other critical information, thereby enhancing decision-making processes and improving collaboration among healthcare teams.
Acceptance Criteria: Patient Consultation Continuity Across Devices

Given a patient consultation is started on a desktop, when the medical staff member accesses the CuraDesk platform on a mobile device, then the session should resume seamlessly with all previous inputs and patient data intact.

Real-Time Data Synchronization during Updates

Given multiple devices are used for patient management, when an update is made on one device, then all other devices should reflect this update within 5 seconds without data loss.

User Notification of Data Updates

Given that a patient’s status or schedule changes, when this update occurs, then all devices accessing the patient's records should notify users of the change in real-time.

Secure Data Transfer Protocols

Given sensitive patient information is being transmitted between devices, when data is sent, then it must be encrypted and compliant with HIPAA regulations, ensuring no unauthorized access during transfer.

Cross-Device Session Timeout

Given a user is connected to a patient consultation on multiple devices, when the session on one device times out, then the user should receive a prompt to continue on another device without data loss.

Multi-User Access Synchronization

Given several healthcare providers are accessing a patient's record simultaneously, when one provider makes changes, then the other providers should see these changes reflected in real-time, preventing conflicting changes.

User Experience for Switching Devices

Given a medical staff member starts a task on a desktop, when switching to a mobile device, then the interface should maintain the same layout and user experience without requiring additional user inputs to access the same functionality.

Cross-Platform Notification System

User Story: As a doctor, I want to receive notifications about patient updates on my mobile device, so that I can respond promptly and provide the best care possible regardless of where I am.
Description: The Cross-Platform Notification System requirement outlines the need for a notification system that alerts users on their preferred devices regarding important updates such as appointment reminders, patient changes, or urgent messages. This system must ensure that notifications are received in real-time, regardless of the device being used, thus keeping healthcare professionals informed and responsive. The capacity to customize notifications based on user preferences will improve engagement and ensure that critical alerts are prioritized, directly contributing to better patient outcomes.
Acceptance Criteria: Real-time Notifications for Appointments

Given a user has an upcoming appointment, when the appointment is created or modified, then the user should receive a notification on their preferred devices promptly within 5 minutes.

Customizable Notification Preferences

Given a user accesses their notification settings, when they customize their preferences, then the system should allow them to enable or disable notifications based on categories like appointment reminders and urgent messages seamlessly across all devices.

Urgent Alerts for Critical Updates

Given a critical update regarding patient changes occurs, when the update is initiated, then all notified users should receive an urgent alert within 2 minutes across their selected devices.

Cross-Device Synchronization of Notifications

Given a user receives a notification on one device, when they log into another device, then the notification status should synchronize and reflect as read or acknowledged without redundant alerts.

User Engagement Tracking

Given the notification system is in use, when notifications are sent out, then the system should track and report engagement metrics, including open rates and actions taken within 24 hours, to ensure that notifications are being received and acted upon.

Support for Multiple Device Types

Given a user has multiple devices with active notifications, when they initiate a notification preference, then the system should support smartphones, tablets, and desktops, ensuring consistent and effective delivery across all platforms.

Customizable User Profiles

Allowing users to create customizable profiles that store their preferences and settings across devices. This feature personalizes the experience and ensures that whether users access CuraDesk from their work computer, a tablet at home, or a mobile phone, their interface aligns with their preferences, promoting efficiency and satisfaction.

Requirements

Profile Preference Storage

User Story: As a healthcare administrator, I want to save my interface preferences in a profile so that I can access a personalized experience across all my devices without having to reconfigure my settings every time I log in.
Description: This requirement entails creating a system for storing user preferences and settings in customizable user profiles within CuraDesk. It will allow users to adjust their interface according to their individual needs and preferences. Implementing this functionality will enhance user satisfaction by ensuring that all customizations are saved across various devices – work computers, tablets, and mobile phones. The expected outcome is a seamless and personalized user experience that leads to increased efficiency in managing hospital operations.
Acceptance Criteria: User Profile Preferences Are Accessed Across Multiple Devices

Given a user has saved their preferences in their profile, when they log into CuraDesk from any device, then their interface should reflect those saved preferences without manual adjustments required.

User Modifications Are Saved Successfully

Given a user modifies their profile preferences, when they save those changes, then their modifications should be stored and retrievable in subsequent sessions on any device.

User Profiles Load Within Acceptable Timeframe

Given a user logs into CuraDesk, when their profile is accessed, then it should load in less than 5 seconds to ensure a smooth user experience.

Error Handling for Invalid Preferences

Given a user attempts to save an invalid profile preference (e.g., unsupported characters), when they try to save, then an appropriate error message should be displayed to guide them in making valid choices.

User Preferences Sync Across Devices

Given a user updates their profile from one device, when they log into another device, then the changes should be reflected immediately or within a span of 2 minutes.

Default Preferences for New Users

Given a new user creates a profile, when they first log into CuraDesk, then they should see a set of default preferences that can be customized.

Confirmation Feedback After Saving Preferences

Given a user saves their profile preferences, when the save action is successful, then a confirmation message should appear to inform the user that their preferences have been saved.

Multi-Device Syncing

User Story: As a doctor, I want my profile settings to sync across my laptop, tablet, and smartphone so that I can have a consistent experience regardless of which device I am using at the moment.
Description: This requirement will facilitate the syncing of customizable user profiles across multiple devices, ensuring that changes made in one device reflect immediately on all others. It entails the development of a synchronization mechanism that handles data consistency and conflict resolution. This feature will primarily benefit users who work on various devices, enabling them to maintain a continuous workflow. The aim is to enhance productivity and user engagement by allowing users to switch devices effortlessly without losing their personalized interface settings.
Acceptance Criteria: User updates their profile settings on a desktop computer and expects these changes to be visible on a mobile device within moments.

Given the user updates their profile settings on their desktop computer, when they open the mobile app within 5 minutes, then the updated settings should reflect on their mobile device without any manual refresh.

A user makes changes to their preferences on a tablet, and switches to their laptop to verify that the changes are consistent across devices.

Given the user makes changes to their profile preferences on a tablet, when they log in to their laptop within 2 minutes, then the updated preferences should match those made on the tablet with no discrepancies.

A user attempts to access their profile from three different devices sequentially and ensures that their settings are synchronized across all devices without delays.

Given the user accesses their profile from a mobile phone, then a tablet, and finally a desktop, when they check their preferences on each device, then the profile settings should remain consistent and synchronized across all three devices irrespective of the order of access.

Two different devices attempt to update the same user profile setting simultaneously, and the system resolves the conflict without data loss.

Given the user updates their notification settings on a mobile device while simultaneously changing them on a desktop, when both updates are submitted, then the last action performed should prevail, and a conflict message should inform the user of the resolution.

A user logs out from one device and logs back into another, expecting all previous settings to be intact and consistent.

Given the user saves custom settings on a desktop and then logs out, when they log into the mobile app afterwards, then their previous settings should be restored accurately without any loss of data or preference configurations.

A user experiences an error during syncing and needs to understand what went wrong to take corrective action.

Given the user initiates profile syncing and receives an error message, when they check the error log, then the log should provide a clear, actionable description of the synchronization failure to assist in troubleshooting.

Admin Control Panel for Profiles

User Story: As an IT administrator, I want to have control over user profiles so that I can manage settings, ensure compliance, and support our users effectively.
Description: A control panel for administrators will allow them to manage user profiles, enabling them to review, edit, and delete profiles as necessary. This requirement is crucial for managing system-wide settings and ensuring that healthcare providers maintain a secure and efficient environment. The admin control panel will enhance oversight and compliance, allowing for streamlined user management processes which ultimately leads to improved user experience and operational efficiency for administrators.
Acceptance Criteria: Admin Access to Control Panel

Given an administrator is logged into the CuraDesk system, When they navigate to the Admin Control Panel, Then they should see options to view, edit, and delete user profiles.

Editing a User Profile

Given an administrator has accessed a user profile in the Admin Control Panel, When they modify the user's information and save the changes, Then the updated information should be reflected in the user's profile immediately.

Deleting a User Profile

Given an administrator is viewing the list of user profiles in the Admin Control Panel, When they select a profile and click the delete option, Then the profile should be removed from the system and no longer accessible.

User Profile Listing

Given an administrator is in the Admin Control Panel, When they choose to view all user profiles, Then the system should display a searchable list of all profiles with basic information (name, role, and status).

Viewing Profile History

Given an administrator selects a user profile in the Admin Control Panel, When they choose to view the history of changes made to that profile, Then the system should display a log of all edits made, including timestamps and the administrator who made the changes.

Profile Settings Security

Given an administrator is managing user profiles from the Admin Control Panel, When they attempt to access a profile with restricted permissions, Then the system should deny access and display a relevant error message.

Profile Update Notification

Given an administrator has updated a user profile in the control panel, When the save action is completed, Then the user should receive a notification of the changes made to their profile via email.

Profile Analytics Dashboard

User Story: As a product manager, I want to analyze the usage of user profiles so that I can identify trends and improve the personalization features in CuraDesk.
Description: Implementing an analytics dashboard that provides insights into user preferences and behaviors will help the organization understand how customizable features are used and what settings are most popular among users. This requirement includes tracking data related to profile usage and allowing administrators to view reports that help in decision-making regarding new features and enhancements. The outcome will contribute to continuous improvement of the platform based on user needs.
Acceptance Criteria: User Accessing the Profile Analytics Dashboard via Admin Panel

Given an administrator logs into CuraDesk, When they navigate to the Profile Analytics Dashboard, Then the dashboard should display user preference data accurately, reflecting the settings most utilized by users over the last month.

Generating Reports from the Profile Analytics Dashboard

Given an administrator is on the Profile Analytics Dashboard, When they select specific user profiles and click 'Generate Report', Then a downloadable report should be produced summarizing the chosen profiles' preferences and behavior data.

Tracking and Displaying User Preference Changes

Given a user updates their profile preferences in CuraDesk, When they access the Profile Analytics Dashboard, Then the changes should be reflected in real-time in the dashboard analytics.

Admin Filtering User Data in Profile Analytics Dashboard

Given an administrator is viewing the Profile Analytics Dashboard, When they apply filters for time range and specific user roles, Then the dashboard should update and display the filtered preference data accurately.

Visual Representation of User Preferences Trends

Given an administrator is on the Profile Analytics Dashboard, When they select a visualization option for user preference trends over time, Then the dashboard should present a line or bar graph illustrating these trends clearly.

User Permissions for Accessing Profile Analytics Dashboard

Given an administrator’s profile with defined permissions, When they attempt to access the Profile Analytics Dashboard, Then they should receive access or an appropriate denial message based on their permission level.

Customizable Notification Settings

User Story: As a nurse, I want to customize my notification preferences so that I receive important alerts in a way that works best for my daily workflow.
Description: Allowing users to set preferences for notifications through their profiles is essential for personalizing their interaction with the platform. This requirement includes options for different types of notifications (alerts, reminders, updates) and their frequency. By enabling customized notification settings, users can ensure they receive relevant information at their convenience, thereby reducing distractions and improving focus on patient care. This feature enhances overall user experience and aligns with the goal of optimizing workflow efficiency.
Acceptance Criteria: User accesses their CuraDesk profile from a mobile device and modifies their notification settings for alerts and reminders to only receive them weekly.

Given the user has logged into their profile, when they navigate to notification settings, then they should be able to select the frequency of alerts and reminders from a dropdown menu and save the changes without errors.

A healthcare administrator sets notification preferences on their desktop for daily updates and confirms the changes are reflected when they log back in from another device.

Given the user has set daily updates for notifications, when they log into their profile from a different device, then they should see the same notification preference displayed accurately in the settings.

A nurse working from a tablet checks their profile notification settings to ensure they receive immediate alerts during their shift.

Given the nurse is logged into their profile, when they view the notification settings, then the alerts option should be enabled for immediate notifications and reflect the correct urgency level specified by the user.

A clinician wishes to opt-out of receiving certain non-critical notifications through their customizable profile.

Given the clinician accesses the notification settings, when they deselect the non-critical notification options, then those notifications should not be received in any form, verified by logging back into the profile.

Upon updating notification settings, a user checks for confirmation feedback on the changes made.

Given the user has updated their notification preferences, when they save the changes, then a confirmation message should be displayed, ensuring changes were successful before moving to another section of the platform.

A user wants to change their notification settings while using the tablet app during their appointment hours.

Given the user is within the appointment scheduling interface, when they attempt to modify notification settings, then they should be able to access their profile without disrupting their appointment workflow.

Press Articles

CuraDesk Revolutionizes Hospital Management with Next-Gen SaaS Platform: FOR IMMEDIATE RELEASE

Contact:
Jane Doe
Marketing Manager
CuraDesk
Phone: (123) 456-7890
Email: jane.doe@curadesk.com

CuraDesk Revolutionizes Hospital Management with Next-Gen SaaS Platform
Press Date: 2025-02-19

City, State – February 19, 2025 – CuraDesk, a leading provider of innovative software solutions for the healthcare industry, announces the launch of its state-of-the-art hospital management platform that promises to significantly enhance operational efficiency, improve patient care, and streamline hospital administration.

The new software as a service (SaaS) platform integrates real-time patient tracking, automated scheduling, and seamless billing capabilities into one comprehensive solution. Designed specifically for healthcare administrators, medical staff, billing specialists, IT support, and patient care coordinators, CuraDesk empowers users with tools that enable them to focus on what matters most—delivering exceptional patient care.

"With CuraDesk, we are not just offering a tool, but a transformative experience for healthcare providers," said John Smith, CEO of CuraDesk. "We have listened to the challenges faced by healthcare professionals and have designed a platform that addresses those needs directly through intuitive interfaces and advanced analytics. Our goal is to set a new standard in healthcare efficiency and excellence."

The platform features a range of functionalities including:

Personalized Health Dashboard: A customized view of a patient's health metrics, enhancing user engagement by allowing patients to track their health trends actively.

Intelligent Appointment Reminders: Automated reminders that minimize no-shows and improve patient adherence to scheduled visits.

Dynamic Staffing Scheduler: An intelligent scheduling tool that adjusts staff assignments based on real-time patient activity, optimizing workforce allocation.

Patient Demand Forecasting: Utilizes predictive analytics to anticipate patient influx, ensuring that resources are allocated effectively.

Performance Metrics Dashboard: A real-time analytics dashboard that tracks KPIs such as patient wait times and resource allocation efficiency.

CuraDesk's intuitive design not only enhances usability but also ensures that patients are actively engaged in their healthcare journey, leading to better health outcomes. One core feature, the Smart Patient Portal, allows patients to easily access medical records, schedule appointments, and communicate directly with their healthcare providers.

“Ensuring smooth and transparent communication between patients and providers is crucial for enhancing the overall patient experience,” commented Sarah White, Lead Product Developer at CuraDesk. “Our Smart Patient Portal simplifies this interaction, making it easy for patients to stay informed and involved in their health management.”

Moreover, the platform’s Feedback Collection Wizard facilitates gathering valuable patient insights, enabling healthcare providers to identify areas for improvement promptly. This feature is essential in a landscape where patient satisfaction directly influences care quality and operational success.

CuraDesk is committed to continuous innovation and plans to roll out additional features in the coming months, including a fully integrated telehealth solution and advanced data analytics geared toward optimizing patient care.

Healthcare administrators interested in elevating their hospital management systems can visit www.curadesk.com for more information and to request a demo.

About CuraDesk:
CuraDesk is dedicated to transforming healthcare administration through innovative technology solutions. The platform aims to enhance operational efficiency, improve patient engagement, and ensure the utmost quality of care for patients and providers alike.

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CuraDesk Unveils Cross-Platform Functionality Enhancements for Healthcare Providers: FOR IMMEDIATE RELEASE

Contact:
Mark Johnson
Director of Communications
CuraDesk
Phone: (987) 654-3210
Email: mark.johnson@curadesk.com

CuraDesk Unveils Cross-Platform Functionality Enhancements for Healthcare Providers
Press Date: 2025-02-19

City, State – February 19, 2025 – CuraDesk, the groundbreaking hospital management platform, is excited to announce a series of enhancements designed to improve cross-platform functionality, enabling healthcare professionals to access their systems from anywhere at any time.

As the healthcare industry increasingly seeks flexibility and real-time communication, CuraDesk's latest upgrades focus on ensuring that medical staff can seamlessly interact with patient data across any device. This includes a fully responsive design framework that automatically adapts to various screen sizes and orientations, enhancing the user experience.

“The demands of healthcare don’t stop when you leave the office. Our new cross-platform functionality allows for uninterrupted patient care,” said Lisa Tran, Chief Technology Officer at CuraDesk. “Whether on a desktop, tablet, or smartphone, users can continue their tasks without losing progress.”

Key features of the upgrade include:

Offline Mode Functionality: Users can access and input vital information even when offline, ensuring that critical tasks are not interrupted in low-connectivity environments.

Device Synchronization Alerts: Users receive real-time notifications regarding updates made on other devices, enabling cohesive teamwork and improved patient communications.

Dynamic Health Monitoring: Integrating wearable tech, healthcare providers can monitor patient health metrics during telehealth consultations, facilitating timely interventions.

Customizable User Profiles: Users can personalize their experience by creating profiles that store preferences and settings across devices, promoting efficiency and user satisfaction.

CuraDesk's Multi-Participant Consultations feature allows multiple healthcare providers to partake in a single virtual appointment, fostering collaborative care. This is particularly vital for patients requiring insights from various specialists, ensuring a comprehensive approach to treatment.

“The feedback we’ve received from our users guided these enhancements. Our focus remains on creating a platform that not only meets the needs of today’s providers but anticipates tomorrow’s challenges,” stated John Smith, CEO of CuraDesk.

Healthcare practitioners are invited to explore the enhancements and register for a live demonstration by visiting www.curadesk.com.

About CuraDesk:
CuraDesk is revolutionizing hospital management with cutting-edge SaaS technology. Focused on bolstering patient engagement and operational efficiency, CuraDesk offers a suite of innovative tools that empower healthcare practitioners to optimize their workflows and enhance patient satisfaction.

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CuraDesk Enhances Patient Engagement with Innovative Telehealth Solutions: FOR IMMEDIATE RELEASE

Contact:
Emily Turner
Public Relations Specialist
CuraDesk
Phone: (555) 123-4567
Email: emily.turner@curadesk.com

CuraDesk Enhances Patient Engagement with Innovative Telehealth Solutions
Press Date: 2025-02-19

City, State – February 19, 2025 – In a move set to amplify patient engagement in healthcare, CuraDesk announces the launch of new telehealth solutions integrated into its SaaS platform. These enhancements aim to improve the quality of remote care while facilitating seamless access to essential health services.

As telehealth becomes an increasingly critical component of healthcare delivery, CuraDesk leverages its advanced technology to create a robust system that supports virtual consultations and patient monitoring. The platform’s integration aims to improve both patient satisfaction and clinical outcomes by streamlining communication between patients and their providers.

“Telehealth is here to stay, and we recognize its importance in providing inclusive healthcare access. Our new features are tailored to not only improve service delivery but also to enhance the overall patient experience,” said Mark Thompson, VP of Telehealth Solutions at CuraDesk.

Notable telehealth features include:

Integrated Telehealth Platform: A fully integrated solution that allows healthcare providers to conduct virtual consultations seamlessly from the CuraDesk platform.

Patient Education Hub: This feature provides a repository of tailored educational materials accessible to patients, improving their understanding of conditions and treatments associated with virtual visits.

Follow-Up Scheduling Automation: Automating follow-up appointments ensures continuity of care and reduces administrative tasks for healthcare staff.

Secure File Sharing: Facilitating the secure exchange of patient documents and test results during telehealth consultations enhances collaboration among providers.

These innovations complement CuraDesk’s existing diagnostic and treatment tracking capabilities, ensuring healthcare professionals can provide comprehensive support to patients from anywhere.

“By enriching patient-provider interactions with new telehealth capabilities, we are empowering patients to take a proactive role in their healthcare,” emphasized John Smith, CEO of CuraDesk. “Our mission is to improve health outcomes through better engagement and access.”

Interested healthcare systems are encouraged to schedule a demo and view all the features CuraDesk has to offer at www.curadesk.com.

About CuraDesk:
CuraDesk is dedicated to driving advancements in healthcare technology. By offering an integrated platform that enhances patient engagement and operational efficiency, CuraDesk helps healthcare providers to deliver high-quality care in a rapidly-evolving health landscape.

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Create products with ease

Product Details

Personas

CareFlow Innovator

Patient Experience Advocate

Operational Efficiency Strategist

Product Ideas

Product Features

Personalized Health Dashboard

Requirements

Real-Time Health Metric Updates

Goal-Setting Interface

Tailored Health Tips System

Visual Health Trends Graphs

Medication Reminder Notifications

Intelligent Appointment Reminders

Requirements

Automated SMS Notifications

Patient Preference Management

Intelligent Rescheduling Options

Analytics Dashboard for Clinics

Multi-Language Support

Secure Provider Messaging

Requirements

End-to-End Encryption

User Authentication Mechanism

Message Archiving and Retrieval

Notification System

User-Friendly Interface

Medication Management Tool

Requirements

Medication Reminders

Dosage Information Display

Refill Alerts

Medication History Tracker

Medication Interaction Checker

Health Resource Library

Requirements

Resource Categorization

Personalization Engine

Multimedia Support

FAQ Module

Feedback Mechanism

Symptom Checker Integration

Requirements

Symptom Analysis Engine

User-Friendly Interface

Integration with Patient Database

Reporting and Analytics Dashboard

Feedback Mechanism

Treatment Progress Tracker

Requirements

Symptom Logging Interface

Medication Effect Tracker

Lifestyle Adjustment Logger

Progress Visualization Dashboard

Collaborative Care Notes

Patient Demand Forecasting

Requirements

Historical Data Integration

Predictive Analytics Engine

Dashboard Visualization

Resource Allocation Recommendations

User Notification System

Dynamic Staffing Scheduler

Requirements

Real-time Patient Monitoring Integration

Predictive Analytics for Demand Forecasting

User-friendly Staff Management Dashboard

Automated Notifications for Staff

Mobile Access for Staff Scheduling

Reporting and Analytics for Staffing Efficiency

Resource Utilization Analytics

Requirements

Real-time Resource Monitoring

Automated Reporting

Predictive Analytics for Resource Needs

Resource Allocation Optimization

User-friendly Dashboard Interface