This project is a Healthcare Management System developed using Python, designed to facilitate the user-friendly management of patient, doctor, and department records for healthcare facilities. The system utilizes SQLite for efficient database management, Streamlit for the interface, and Pandas for seamless data handling. It incorporates secure access and exclusive features for doctors and medical lab scientists.
- Database Management System (DBMS) project for healthcare facilities.
- User-friendly management of patient, doctor, and department records.
- Utilizes SQLite for efficient and secure database management.
- Streamlit-based interface for a seamless user experience.
- Pandas integration for efficient data handling and analysis.
- Exclusive features for doctors and medical lab scientists.
- Appointment Scheduling: Implement a feature for scheduling patient appointments, enabling better organization and time management for healthcare providers.
- Billing and Invoicing: Integrate billing and invoicing functionalities for managing financial transactions within the healthcare system.
- Telehealth Integration: Explore integration with telehealth solutions to enable remote consultations and medical services.
- Enhanced Security Measures: Implement additional security measures, such as encryption and user authentication enhancements, to ensure the protection of sensitive healthcare data.
- Mobile App Compatibility: Develop a mobile application version for the Healthcare Management System to provide flexibility and accessibility for users on the go.
- Integration with Electronic Health Records (EHR): Explore integration with EHR systems to enhance interoperability and streamline the exchange of patient information.
- Data Analytics Dashboard: Create a dashboard using tools like Plotly or Dash for insightful data analytics and visualization, aiding healthcare administrators in decision-making.
- Automated Reporting: Implement automated reporting features for generating and sending regular reports to relevant stakeholders.
- Internationalization (I18n) Support: Provide support for multiple languages to accommodate users from diverse linguistic backgrounds.
- User Training Resources: Develop user manuals, tutorials, and training resources to ensure healthcare professionals can easily adopt and use the system.
- Clone the repository:
git clone https://github.com/ashkaaar/healthcare-management-system.git - Navigate into the directory:
cd healthcare-management-system - Install the dependencies:
pip install -r requirements.txt - Start the application:
streamlit run main.py
- Access the application through the provided Streamlit interface.
- Manage patient, doctor, and department records seamlessly.
- Utilize the exclusive features designed for doctors and medical lab scientists.
- Refer to the documentation for detailed information on system functionalities.