Abstract:
The healthcare system in Timor-Leste is beset by serious issues, such as lengthy wait times
for patient, ineffective manual record-keeping, and restricted access to treatment in rural
areas. This thesis introduces AI-Healthcare, a comprehensive digital solution designed to
address these problems through four core components: (1) a symptom checker driven by
AI, (2) an online appointment scheduling system, and (3) remote consultations over
WhatsApp, and (4) a secure email verification framework to prevent unauthorized access.
Using a SQLite database and the Django framework, the system was created with role-based
access control for administrator, doctors, and patients. Testing showed that the AI chatbot
could analyze symptoms with 94% accuracy and cut down on patient wait times by 50%.
Rural people especially benefit from the solution since it makes remote consultation
possible in situation when doctor access to medical facilities is difficult.
While the system’s results are promising, its limitations include user’ varying levels of
digital literacy and its need on steady internet access. Future developments should focus
on mobile app distribution and offline capabilities to impove accessibility. In keeping with
WHO’s objective of using technology to achieve universal health coverage, this initiative
contributes to the transformation of healthcare in low-resource settings.
