A straightforward, user-friendly digital queue management tool aimed at healthcare facilities. It assists in organizing patient flow, minimizing waiting periods, and enhancing service delivery in hospitals and clinics.
- Patient check-in feature with queue number assignment
- Staff interface to summon the next patient
- Real-time monitoring of the queue
- Sleek and responsive design (suitable for both desktop and tablet)
- Optional analytics for tracking patient wait times and service statistics
- Python / JavaScript (depending on your implementation choice)
- Flask / Django / Node.js (backend framework)
- HTML / CSS / Bootstrap (frontend development)
- SQLite / MySQL (database options)
- Optional: Streamlit or Gradio (for prototyping/demo purposes)
health-que-system/
├── app/ # Core application files
│ ├── templates/ # HTML layouts
│ ├── static/ # CSS, JS, images
│ ├── models.py # Database models
│ ├── routes.py # Application routes/views
│ └── utils.py # Utility functions
├── config.py # Application configuration
├── requirements.txt # Python package dependencies
├── README.md # Project documentation
└── run.py # Application start script-
Clone the Repository
git clone https://github.com/Spado22/health-que-system.git cd health-que-system -
Install Dependencies
pip install -r requirements.txt
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Run the App
python run.py
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Access the Application Open your web browser and navigate to: https://github.com/Spado22/Health-Que-System
Use Case Scenarios
- Government or private clinics
- Outpatient departments in hospitals
- Mobile or temporary clinics
- Community health initiatives
Ethical Use & Privacy
- Ensure all patient information is managed securely
- Avoid retaining personal health information without encryption
- Adhere to local health data privacy laws (such as POPIA, HIPAA)
Contributing We invite contributions! Please fork the repository, create a new branch, and submit your pull request with enhancements.
License This project is released under the MIT License.
Designed for effective and equitable healthcare access.
Would you like a version tailored for Streamlit or a mobile-first