An intelligent, modular platform designed to streamline health data analysis, patient monitoring, and administrative workflows using AI-powered tools. This system integrates modern web technologies with machine learning to support smarter, faster, and more personalized healthcare management.
This project aims to:
- 📊 Automate health record processing and visualization
- 🧑⚕️ Support patient tracking and appointment scheduling
- 🧠 Integrate AI models for predictive health insights
- 🔐 Ensure secure access for admins and healthcare staff
| Layer | Technology Used |
|---|---|
| Frontend | Vue.js, SCSS, HTML |
| Backend | Node.js, Express |
| AI Modules | Python (TensorFlow, scikit-learn) |
| Database | MySQL |
| Dev Tools | VSCode, Webpack, GitHub Actions |
AI-Health-Management-System/
├── vue-web/ # Frontend Vue.js app
├── x-admin/ # Admin dashboard
├── .vscode/ # Editor config
├── db_health.sql # Database schema
├── README.md # Project documentation
├── .gitattributes # Git settings
| Role | Description |
|---|---|
| Admin | Full access to system management |
| Doctor | View and update patient records |
| Patient | View personal health data |
Authentication and role-based access control are implemented via JWT and session tokens.
- 🩺 Predictive analytics for chronic conditions
- 🧬 Pattern recognition in medical imaging (optional module)
- 📅 Smart scheduling based on patient history
- 📌 Alert system for abnormal health metrics
-
Clone the repo:
git clone https://github.com/your-username/AI-Health-Management-System.git
-
Install dependencies:
cd vue-web npm install -
Configure database:
- Import
db_health.sqlinto MySQL - Update credentials in
.envorconfig.js
- Import
-
Run the app:
npm run serve
- Unit tests:
JestandMocha - CI/CD: GitHub Actions
- Deployment: Docker-ready setup for cloud hosting
We welcome contributions from developers, data scientists, and healthcare professionals. Please fork the repo and submit a pull request with clear documentation.
This project is licensed under the MIT License.