AI-HEALTHCARE: IMPROVEMENT OF HEALTHCARE IN TIMOR-LESTE WITH SMART DIGITAL SOLUTIONS

Abstract

This research aims to develop a web-based medical consultation management system using the Django framework. The system is designed to facilitate digital interactions between patients, doctors, and administrators in the medical consultation process. Patients can register for consultations online, receive schedule reminders, and access their consultation history. Administrators play a role in approving or rejecting consultation requests, managing user data, and monitoring healthcare service statistics through a dashboard. Doctors can directly view approved consultation appointments and provide diagnoses to patients based on the daily schedule. This approach streamlines the consultation process without requiring additional steps for booking or assigning appointments. In addition, the system provides access to patient history and includes a diagnosis recording feature that assists doctors in follow-up actions. The key features developed include: user authentication based on roles (admin, doctor, patient), consultation schedule management with a daily queuing system, patient consultation history, an automated consultation reminder system, an admin statistical dashboard, and an interactive health chatbot with conversation history. The system is also equipped with email verification for users and access security settings based on each role. The development method used is the Waterfall model, which includes requirements analysis, system design, implementation, and testing stages. Testing was conducted using the black-box method to ensure all system functions operate according to the defined objectives. The final result of this research is a web application that enhances the effectiveness and efficiency of the medical consultation process while supporting structured and integrated digital healthcare services.