BSc IT Project Guide: Healthcare Dashboard to Monitor Patient Health Data in Real-Time
1. Introduction
The Healthcare Dashboard is a real-time data visualization platform designed to monitor and analyze patient health data. It aims to assist healthcare professionals in making informed decisions by providing quick access to vital health metrics such as heart rate, oxygen levels, blood pressure, and temperature.
2. Objectives
- Provide real-time monitoring of patient vital signs
- Generate alerts for abnormal readings
- Support integration with IoT-based health sensors
- Enhance decision-making through visual data analytics
- Maintain secure access to patient health records
3. System Requirements
Hardware:
- IoT health monitoring sensors (optional)
- Web server
- Computer or tablet
Software:
- Frontend: HTML, CSS, JavaScript (React or Angular)
- Backend: Node.js or Python (Flask/Django)
- Database: MongoDB or MySQL
- Libraries/APIs: Chart.js, D3.js, Socket.IO for real-time updates
4. System Design
The system includes the following modules:
- Patient Management
- Real-time Sensor Data Ingestion
- Data Analytics Engine
- Alerts and Notifications
- Dashboard UI with visualizations
- User Authentication
5. Implementation Plan
Phase 1: Requirement gathering and UI/UX design
Phase 2: Backend and database setup
Phase 3: Integration of real-time data using WebSockets
Phase 4: Dashboard development and visualization
Phase 5: Testing and deployment
6. Challenges
- Managing high volumes of real-time data
- Ensuring data security and privacy
- Handling sensor integration and data accuracy
- Designing an intuitive and responsive UI
7. Future Enhancements
- Integration with EHR systems
- AI-based health risk prediction
- Mobile application support
- Multi-language support for accessibility
8. Conclusion
The Healthcare Dashboard project offers a robust platform for real-time patient monitoring. It bridges the gap between technology and healthcare by enabling timely data-driven decisions, ultimately improving patient outcomes.