MediTrack: A Mobile Health Application for Medication Adherence and Health Record Management

Abstract

Medication non-adherence and fragmented personal health record management remain significant challenges in modern healthcare systems. This paper presents MediTrack, an integrated mobile health (mHealth) application designed to assist users in managing medication schedules and maintaining organized personal health records within a unified architecture. The system is developed using Flutter and Firebase services, enabling an offline-first healthcare model with features such as automated medication reminders, digital record storage, and prescription scanning. Additionally, an AI-assisted interaction layer integrated via OpenAI API provides basic health assistance and user interaction support. The system was evaluated through functional testing and a pilot usability study involving 10 users over 3 days. Results demonstrate high reminder accuracy (99.6%), efficient data synchronization, and strong user satisfaction. The findings suggest that integrated mobile health platforms can significantly improve patient engagement. The results highlight the effectiveness of unified digital healthcare solutions in improving medication adherence and simplifying personal health management.

Introduction

The text discusses the growing role of digital technologies in modern healthcare, particularly through mobile health (mHealth) applications, wearable devices, and cloud-based systems. These technologies enable patients to monitor their health, manage treatments, and access medical information outside traditional healthcare settings. However, many patients still struggle with medication adherence and effective management of personal health records. Medication adherence is especially challenging for elderly individuals and patients with chronic illnesses, who may forget doses, confuse medications, or lose track of prescriptions. Additionally, health information is often fragmented across hospitals, paper records, and digital systems, making it difficult for patients to access complete medical histories and increasing the risk of medical errors.

To address these problems, digital health applications have been developed for medication reminders, health monitoring, and record storage. Research shows that such applications can improve patient engagement and treatment adherence. However, most existing systems focus on only one aspect of healthcare management, forcing users to rely on multiple applications. This fragmentation reduces usability and overall effectiveness.

The proposed solution in the study is a unified mobile health platform called MediTrack, which combines medication scheduling, reminder notifications, personal health record management, and basic health monitoring in a single application. The system also includes an offline-first model for continuous accessibility, AI-assisted user interaction for basic health guidance, and OCR-based prescription scanning for easier record management. The main goal is to create a secure, accessible, and user-friendly platform that supports comprehensive patient self-management.

The literature review highlights previous research on medication adherence, personal health records, and AI-based healthcare systems. Studies by researchers such as Kruse et al. and Patel and Desai found that mobile reminders and digital health interventions improve medication adherence and patient engagement. Research also shows that personal health record systems help users store and manage medical information, while artificial intelligence and machine learning can provide personalized healthcare support and preventive care recommendations. Despite these advancements, most digital health tools remain fragmented and lack interoperability.

The proposed MediTrack platform addresses these limitations by integrating multiple healthcare functions into one system, thereby improving usability and reducing complexity for users with different levels of technological literacy. The study follows a system design and development methodology, implementing the application using a three-layer architecture consisting of a Flutter-based presentation layer, an application logic layer for managing reminders and AI interactions, and a Firebase Cloud Firestore data management layer for secure data storage and retrieval. Overall, the study contributes to the development of integrated digital healthcare platforms that support patient-centered healthcare and long-term self-management.

Conclusion

This study presented the design, development, and evaluation of MediTrack, an integrated mobile health (mHealth) application designed to assist users in managing medication schedules and organizing personal health records within a unified digital platform. The system integrates multiple functionalities, including medication reminders, digital health record storage, prescription scanning, and basic health monitoring features. The evaluation results demonstrate that the system can reliably support medication adherence and health information management. Functional testing confirmed stable performance, accurate reminder delivery, and efficient data synchronization. Additionally, usability evaluation indicated high user satisfaction and ease of use. Overall, MediTrack highlights the potential of integrated mobile health applications in improving patient self- management and reducing fragmentation in digital healthcare systems. Such platforms can play a significant role in supporting preventive and patient-centered healthcare practices. Future work may focus on integrating advanced analytics, wearable devices, and interoperability with healthcare systems to further enhance the platform’s capabilities.

References

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Copyright

Copyright © 2026 Vinayak Shantha Nayak, Vijay Ramesh Kai, Varun V, Umesh , Prof. Sarfaraz Ahmed. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.