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International Journal of Science, Strategic Management and Technology

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REACT.JS AND EXPRESS.JS BASED PHARMACY MANAGEMENT SYSTEM WITH EXPIRY CONTROL AND DRUG INTERACTION ALERTS

AUTHORS:
A Kaviya, S Naveena, S Swetha
Mentor
K Brintha
Affiliation
Dept. of BME, Kongunadu College of Engineering and Technology,Trichy, Tamil Nadu,India
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

A Pharmacy Management System is designed to simplify and an automate the daily operations of a pharmacy. The proposed system manages to medicine inventory, sales, billing, and supplier information in an organized manner. It provides a real time updates on stock availability, helping pharmacists avoid shortages and overstocking. The application improves accuracy in billing and record maintenance by reducing manual work. Patient and prescription details can be stored securely for easy access and reference. A user-friendly dashboard enables  pharmacists to manage stock levels, generate reports, and an integrate supplier data seamless errors the caused by manual handling are significantly minimized. Furthermore, a medicine interaction warning system alerts doctors when potentially harmful combinations of medicines are selected together. The system keeps a complete history of patient medications and basic insights into frequently prescribed medicines. It generates automated daily usage reports and audit logs to track system activities

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Swetha, A. K. S. N. S. (2026). React.Js and Express.Js Based Pharmacy Management System with Expiry Control and Drug Interaction Alerts. International Journal of Science, Strategic Management and Technology, 02(03). https://doi.org/10.55041/ijsmt.v2i3.091

Swetha, A. "React.Js and Express.Js Based Pharmacy Management System with Expiry Control and Drug Interaction Alerts." International Journal of Science, Strategic Management and Technology, vol. 02, no. 03, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i3.091.

Swetha, A. "React.Js and Express.Js Based Pharmacy Management System with Expiry Control and Drug Interaction Alerts." International Journal of Science, Strategic Management and Technology 02, no. 03 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i3.091.

References
1.Rahman, M., Hossain, T., & Islam, S. (2021). Web-based medical inventory control using MERN stack architecture. Journal of Emerging Technologies and Innovative Research, 8(6), 120–126.

2.Hussain, S., Khan, M., & Ali, R. (2022). Drug– drug interaction detection and alert systems in clinical environments. Journal of Medical Systems, 46(8), 1–10.

3.Kumar, A., & Sharma, R. (2022). Smart pharmacy systems for real-time medication monitoring. IEEE International Conference on Healthcare Informatics, 112–118.

4.Lee, J., Park, S., & Kim, H. (2022). Real-time drug interaction checking using rule-based clinical decision support systems. International Journal of Medical Informatics, 158, 104623.

5.Patel, R., Mehta, S., & Desai, N. (2023). Web- based inventory management systems for healthcare applications. International Research Journal on Advanced Engineering Hub, 5(9), 301–308.

6.Balaji, B., Kanchanamala, P., & Srinivas, K. (2023). Scalable healthcare web applications using React and Node.js. Proceedings of the International Conference on Smart Computing and Systems, 210–216.

7.Chowdhury, A., Das, P., & Sen, R. (2023). Automated alert generation for medication safety in digital pharmacy systems. Journal of Healthcare Engineering, 2023, 1–9

8.Nair, R., & Joseph, L. (2024). Secure and efficient pharmacy management using cloud- based web technologies. International Journal of Advanced Research in Computer Science, 15(2), 45–52.

9.Reddy, T., & Kumar, V. (2024). Smart Pharmacy System with Expiry Control and Alert Mechanism. Global Journal of Computer Science and Technology, 24(E2), 33–41.

10.Sharma, N., & Gupta, S. (2024). Drug Interaction Detection Using Machine Learning
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✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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