Designing an efficient architecture for an RFID-oriented medical system

Authors

DOI:

https://doi.org/10.34185/1562-9945-5-162-2026-22

Keywords:

RFID technologies, medical information systems, relational databases, client-server architec-ture, automation, medical records, patient identification, data protection

Abstract

Modern healthcare institutions face growing challenges in managing medical data ef-fectively and ensuring automation of routine processes. Radio Frequency Identification (RFID) technology has proven to be a powerful tool for improving patient identification, re-ducing human error, and streamlining data access and logistics within hospitals. However, limited attention has been given in recent studies to comprehensive integration of RFID sys-tems with existing medical information infrastructures, particularly concerning data protec-tion and architectural design.
This paper proposes an efficient client-server architecture for RFID-based medical sys-tems, aimed at ensuring secure and scalable handling of medical records. The research ana-lyzes a range of architectural approaches, including simple local RFID configurations, peer-to-peer networks, and microservice models, outlining their limitations in the healthcare con-text. As a result, a custom client-server model has been developed using a relational database and secure API-based communication between server and multiple client types (web and mo-bile).
The proposed architecture supports centralized data storage and processing, ensures integrity and confidentiality of patient information, and enables flexible integration with third-party healthcare platforms. A modular database design is also presented, including pa-tient profiles, medical history, prescriptions, and user management.
Comparative analysis demonstrates that the proposed model outperforms traditional architectures in scalability, automation, and data security. By minimizing administrative workload and enhancing access to reliable patient data, the system improves quality of care and opens perspectives for further research and innovation in medical IT solutions.

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Published

2026-03-03