Evaluating and Optimizing MySejahtera App Analytics

Project Code :TCMAFS1350

Objective

The primary objective of this project is to design, develop, and implement a secure centralized analytics and administrative backend system that fully supports and enhances the existing workflow of the national digital health application. The system will enable administrators to securely log in, view real-time dashboards, monitor all registered patients and clinics, approve or reject clinic registrations, oversee nationwide appointments, and push critical health alerts to patients and clinics. For clinics, it will facilitate registration, login after admin approval, viewing and confirming appointments, accessing patient-reported symptoms, and receiving health alerts. For patients, the backend will seamlessly capture and analyze their registration, profile completion, symptom entry, delivery of Gemini AI-powered health recommendations, clinic discovery, appointment booking, and health alert reception. By collecting, processing, and presenting accurate data from these exact flows, the platform aims to provide health authorities with actionable insights, ensure operational transparency, improve appointment management and clinic workload balance, enhance the reliability of AI recommendations, guarantee effective alert delivery, and ultimately support the continuous monitoring, optimization, and long-term sustainability of the national digital health ecosystem.

Abstract

MySejahtera Analytics & Optimization Platform is a secure, scalable, centralized backend and analytics system designed to continuously monitor, evaluate, and enhance the performance and sustainability of the national digital health application. By aggregating and analyzing data from the complete existing workflow: patient registration, symptom reporting, Gemini AI-powered health recommendations, clinic discovery, appointment booking, clinic confirmations, and health alert dissemination.Administrators gain a comprehensive dashboard to view nationwide patients and clinics, instantly approve or reject clinic registrations, monitor all appointments, push and track health alerts, and access detailed analytics on user engagement, AI recommendation effectiveness, appointment fulfillment and no-show rates, clinic workload distribution, and regional usage patterns. The platform maintains full role-based access control, audit logs, and strict data privacy compliance while enabling data-driven decision-making, resource optimization, and proactive system improvements — ensuring the long-term reliability, efficiency, and public trust in the nation’s flagship digital health ecosystem.

Keywords: Digital Health Analytics, Gemini AI Integration, Appointment Management, Clinic Workflow Optimization, Health Alert Tracking, Real-time Dashboard, Administrative Backend, Data-Driven Governance, Sustainable Digital Health Services

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.