MediConnect: Smart Medicine Distribution System
Keywords:
Android application, Healthcare supply chain, Intelligent assistance, Mediconnect, Medicine delivery, Patient managementAbstract
Today’s fast-paced healthcare environment, managing medicine supply, patient appointments, and pharmacy coordination has become increasingly complex. Delays in medicine delivery, poor communication between suppliers and pharmacies, and inefficient patient management often result in disrupted healthcare services and reduced patient satisfaction. To address these challenges, this paper introduces Mediconnect, an intelligent Android-based system designed to streamline medicine distribution, pharmacy management, and patient appointment scheduling. Mediconnect provides a centralized platform where suppliers, pharmacies, and patients can interact efficiently, track orders, and manage medicine inventory in real time. An integrated intelligent assistant monitors deliveries, sends reminders, and optimizes schedules to ensure timely medicine supply and patient care. The system is developed using Android Studio (Java & XML) for the frontend, with XAMPP (MySQL) for database management and Postman for API testing, ensuring secure, responsive, and reliable performance. Mediconnect improves supply chain coordination, reduces delays, enhances patient satisfaction, and supports pharmacies and suppliers in delivering healthcare services more effectively. Overall, the proposed system leverages modern mobile technologies and intelligent assistance to create an organized, cost-effective, and user-friendly solution for healthcare management.
References
S. B. Junaid, A. A. Imam, “Recent advancements in emerging technologies for healthcare management systems: A survey,” Healthcare, vol. 10, no. 10, p. 1940, Oct. 2022.
V. E. Balas, R. Kumar, and R. Srivastava, Eds., Recent Trends and Advances in Artificial Intelligence and Internet of Things. Cham, Switzerland: Springer International Publishing, 2020.
A. Chaurasia, B. Parashar, and S. Kautish, “Artificial intelligence and automation for Industry 4.0,” in Computational Intelligence for Modern Business Systems: Emerging Applications and Strategies. Singapore: Springer Nature Singapore, 2023, pp. 357–373
D. Mathew, N. C. Brintha, and J. W. Jappes, “Artificial intelligence powered automation for Industry 4.0,” in New Horizons for Industry 4.0 in Modern Business. Cham, Switzerland: Springer International Publishing, 2023, pp. 1–28.
R. T. Fielding and R. N. Taylor, “Principled design of the modern web architecture,” ACM Transactions on Internet Technology, vol. 2, no. 2, pp. 115–150, May 2002.
P. Dahiphale, T. Zurange, S. Shaikh, and S. S. Kotalwar, “MediConnect: An Android-based online pharmacy and subscription medicine delivery system,” International Journal of Engineering Development and Research, vol. 14, no. 1, pp. 745–748, Feb. 2026.
J. R. Yadav, P. Jain, S. Sharma, and A. K. Dubey, “Medi-Connect: An end-to-end intelligent framework to facilitate new era online consultations toward sustainable healthcare,” in Proceedings of the International Conference on Entrepreneurship, Innovation, and Leadership. Singapore: Springer Nature Singapore, 2023, pp. 425–438.
A. Chavhan, P. Nerkar, K. Asnani, and P. K. Joshi, “MediLink: RFID-based smart medical card system,” in Proceedings of the 6th International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE, 2025, pp. 169–175.
E. Martin, F. A. Joseph, A. E. Abraham, and C. S. Thomas, “MediConnect—Remote patient health monitoring,” International Journal on Emerging Research Areas, vol. 4, no. 1, 2024.
M. J. Olsen, D. Stephens, D. Griffiths, P. Daugherty, G. Georgiou, and B. L. Iverson, “Function-based isolation of novel enzymes from a large library,” Nature Biotechnology, vol. 18, no. 10, pp. 1071–1074, Oct. 2000.