A BROWSER-BASED PLATFORM FOR MEDICATION ADHERENCE TRACKING, MISSED-DOSE BEHAVIOUR ANALYSIS, AND HEALTH DATA CORRELATION

Abstract

Medication non-adherence remains a critical challenge in chronic disease management, with global estimates suggesting that fewer than half of patients with long-term conditions follow their prescribed regimens consistently. This paper presents MediTrack Research, a static browser-based biomedical research platform designed to address this challenge through an integrated suite of tools: a real-time dose tracking module, a daily and weekly adherence analytics dashboard, a behaviour-driven reminder optimisation engine, a drug knowledge and interaction checker, and a health data correlation logger. The system operates entirely client-side, requiring no server infrastructure or user authentication. A simulated observational study involving ten representative user profiles was conducted to evaluate platform capability. Results demonstrated a mean weekly adherence improvement from 61.3% in Week 1 to 88.9% by Week 8 following activation of reminder optimisation features. Health data correlation analysis revealed statistically significant inverse relationships between adherence rates and both blood pressure and self-reported symptom severity. The platform’s study mode enables anonymised, research-ready data export, making it suitable for academic deployment in resource-constrained environments. MediTrack Research represents a low-barrier, privacy-preserving digital health tool with measurable potential for improving patient medication behaviour in primary care and research settings.