Health Report Analysis Dashboard

A web-based dashboard for analyzing and visualizing health report data. This dashboard allows healthcare professionals to quickly search for patient records, view detailed information, and gain insights through interactive visualizations.

Features

• Interactive Patient Search: Search for patients by name, ID, medical condition, doctor, or hospital.
• Detailed Patient Information: View comprehensive patient details including personal information, medical history, hospitalization data, and billing information.
• Risk Alert System: Highlight patients with high-risk conditions.
• Billing Comparison Visualization: Compare billing amounts for patients with similar conditions.
• Custom Styling and Layout: Clean and modern design with custom CSS for improved user experience.

Getting Started

Prerequisites

• Python 3.8 or higher
• Streamlit
• Plotly
• Pandas

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/health-report-dashboard.git

2. Install the required packages:

   pip install streamlit plotly pandas

3. Run the dashboard:

   streamlit run health_dashboard.py

Usage

1. Open your web browser and navigate to the local Streamlit URL (usually http://localhost:8501).
2. Use the search bar to find patients by name, ID, condition, doctor, or hospital.
3. Select a patient from the search results to view detailed information.
4. Explore the interactive visualizations to gain insights into patient data.

Screenshots

Contributing

Feel free to contribute to this project by submitting pull requests or opening issues. Any contributions are welcome!

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

For any questions or feedback, please contact your-email@example.com.

Acknowledgments

• Streamlit for providing a powerful and easy-to-use framework for creating web applications.
• Plotly for enabling interactive data visualizations.
• Pandas for efficient data manipulation and analysis.

Adding Images to Your GitHub Repository

To include the images in your GitHub repository, follow these steps:

1. Upload the Images: Place the images (Web_page-0001.jpg and Web_page-0002.jpg) in the root directory of your repository or in a specific folder (e.g., images/).

2. Update the README File: Ensure the paths to the images in the README file match the actual paths in your repository. If you place the images in an images/ folder, update the paths accordingly:

   ![Dashboard View 1](images/Web_page-0001.jpg)
   ![Dashboard View 2](images/Web_page-0002.jpg)

3. Commit and Push: Commit the changes to your repository and push them to GitHub.

   git add README.md Web_page-0001.jpg Web_page-0002.jpg
   git commit -m "Add README and dashboard screenshots"
   git push origin main