AI-driven healthcare management system

This research represents the development of an open-source Healthcare Management System created to computerize the Medical and Health Centre workflows for small to medium-size medical scales. The system is implemented using Streamlit libraries for the creative GUI and SQLite for backend database management, ensuring light load and easy to use. Key features include patient registration, management of doctors and departments in detail, input of prescriptions, and records of diagnostic tests. Modular design allows customize and maintain while role-based access ensures secure and optimize utilization by administrative staff, doctors, and lab technicians. This system was tested with mock data and user feedback with proof of effective performance, consistency in data, and usability.