Contact person: Business Client

Phone:Show

Email:Show

Location: Solan, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"We need a full-stack developer to convert our static front-end JS and CSS files into a fully functional healthcare dashboard for predicting hospital readmissions. The dashboard will serve three personas: physicians, patients, and hospital administrators.

The dashboard should include the following features:

Features & Requirements:

Risk Score Visibility
Display real-time readmission risk scores on patient dashboards.
Clear low/medium/high indicators.
Integration with EHR (simulated data is acceptable).
Automated High-Risk Alerts (Physician)
Send automated alerts via email + in-app when patient risk exceeds a threshold.
Include patient ID, score, and recommended next steps.
Patient Risk Notifications
Send clear notifications within 24 hours of discharge or risk change.
Include support contact details.
Personalized Care Instructions (Patient)
Display care instructions based on patient condition and risk.
Instructions should be downloadable/printable as PDF.
Monthly Readmission Reports (Admin)
Generate department- and time-based readmission rate reports.
Exportable as PDF or Excel.
Department Alerts (Admin)
Trigger alerts for departments exceeding readmission thresholds.
Include affected departments and suggested interventions.

User Stories & Acceptance Criteria:
Physician: Enter patient info, see risk predictions, receive recommended actions.
Patient: View risk in simple language, receive tailored care instructions, download/print instructions.
Admin: See department-level metrics, monthly reports, and alerts for high readmission rates.

Acceptance criteria:

Risk indicators are color-coded and updated in real-time.
Alerts and notifications trigger based on thresholds.
Reports are generated correctly and exported in required formats.
Dashboard is intuitive and user-friendly for all personas.

Deliverables:
Fully functional dashboard using provided JS and CSS files.
Working alerts, reports, and notifications.
Deployment instructions or hosted demo link.
Code with proper documentation for future updates.
Integration of AI/ML

Technical Requirements:

Frontend: JS, CSS (your files will be provided).
Backend: Any framework suitable to make dashboard functional (Node.js, Python, etc.).
Data: Simulated patient/EHR data is acceptable for testing.(We will provide the dataset)
Deployment: Web-hosted demo or local deployment instructions.

Timeline & Budget:

Delivery: Preferably within 1 week or less

Budget: Lowest possible while ensuring quality.

Additional Notes:

The developer must follow the features, personas, and acceptance criteria strictly.
Open to suggestions for improving dashboard usability and interactivity." (client-provided description)