Introduction:Medication non-adherence is a major problem that leads to poor treatment outcomes, increased hospital visits, and higher medical expenses. Many individuals, especially older adults and people with chronic diseases, find it difficult to keep track of their medication schedules. Objective:This study focuses on developing HealthTrack, a digital medicine management system that helps patients take medications on time through automated tracking, smart reminders, and data-driven predictions. Methods:HealthTrack is developed using React.js, Node.js, MongoDB/PostgreSQL, and AI-based analytics. It includes OCR-powered prescription scanning, stock alerts, and AI-generated reminders to improve medication tracking. The system was tested with a group of users to analyze its efficiency. Results:The system successfully sent 95% of medication reminders, leading to a 35% increase in medication adherence. Additionally, 90% of users received timely refill alerts, and 60% used automatic reordering, which reduced missed doses. Conclusion:HealthTrack significantly enhances medication adherence and self-management, reducing the need for caregivers and improving overall patient care. Future updates will focus on connecting with wearable health devices, refining AI analytics, and automating pharmacy orders to improve functionality.
