A comprehensive medical case management system with integrated AI-powered analysis for healthcare professionals. VitalSense streamlines patient case uploads, intelligent risk assessment, and collaborative case reviews.
VitalSense is a full-stack healthcare application designed to manage medical cases, patient information, and AI-generated medical insights. The platform combines a modern React frontend with a robust backend to provide healthcare professionals with powerful tools for case management and analysis.
- Patient Case Management: Upload and manage patient cases efficiently.
- AI-Powered Insights: Integrated AI to assess risks and generate insights for each case.
- Collaborative Case Reviews: Allow healthcare professionals to collaborate on patient cases.
- Risk Assessment: Intelligent algorithms to assess the severity of cases.
These instructions will help you set up and run the project on your local machine for development and testing purposes.
Before you begin, ensure you have the following installed on your system:
- Clone this repository:
git clone https://github.com/your-username/vitalsense.git
cd vitalsense-
Install the dependencies:
npm install
or if using yarn:
yarn install
To start the development server:
npm run devor with yarn:
yarn devOpen your browser and navigate to http://localhost:3000 to view the application.
- Frontend: React.js
- AI Integration: Custom AI models (description of your specific AI implementation)
- Styling: CSS, SCSS (or any libraries you may use, like Material-UI or Tailwind CSS)
We welcome contributions to improve the platform! If you have suggestions, bug fixes, or feature enhancements, feel free to fork the repository, create a new branch, and submit a pull request.
- Fork this repository.
- Create a new branch (
git checkout -b feature-name). - Make your changes.
- Commit your changes (
git commit -m 'Add new feature'). - Push to your forked repository (
git push origin feature-name). - Submit a pull request to the main repository.
- Inspired by the need for streamlined medical case management.
- Thanks to the contributors who make this project possible.
