Ileana Marian, Petrov Pavel, Milev Vassil
Interdisciplinary Doctoral School, National University of Science and Technology POLITEHNICA Bucharest, Pitesti University Center, 110040 Pitesti, Romania.
Department of Computer Systems and Technologies, "St. Cyril and St. Methodius" University of Veliko Tarnovo, 5000 Veliko Tarnovo, Bulgaria.
Sensors (Basel). 2025 Aug 17;25(16):5102. doi: 10.3390/s25165102.
In the context of modern healthcare, the integration of sensor networks into electronic health record (EHR) systems introduces new opportunities and challenges related to data privacy, security, and interoperability. This paper proposes a secure distributed web system architecture that integrates real-time sensor data with a custom customer relationship management (CRM) module to optimize patient monitoring and clinical decision-making. The architecture leverages IoT-enabled medical sensors to capture physiological signals, which are transmitted through secure communication channels and stored in a modular EHR system. Security mechanisms such as data encryption, role-based access control, and distributed authentication are embedded to address threats related to unauthorized access and data breaches. The CRM system enables personalized healthcare management while respecting strict privacy constraints defined by current healthcare standards. Experimental simulations validate the scalability, latency, and data protection performance of the proposed system. The results confirm the potential of combining CRM, sensor data, and distributed technologies to enhance healthcare delivery while ensuring privacy and security compliance.
在现代医疗保健背景下，将传感器网络集成到电子健康记录（EHR）系统中带来了与数据隐私、安全和互操作性相关的新机遇和挑战。本文提出了一种安全的分布式网络系统架构，该架构将实时传感器数据与定制的客户关系管理（CRM）模块集成，以优化患者监测和临床决策。该架构利用支持物联网的医疗传感器来捕获生理信号，这些信号通过安全通信通道传输并存储在模块化的EHR系统中。嵌入了数据加密、基于角色的访问控制和分布式认证等安全机制，以应对与未经授权访问和数据泄露相关的威胁。CRM系统在尊重当前医疗保健标准定义的严格隐私约束的同时，实现个性化医疗管理。实验模拟验证了所提出系统的可扩展性、延迟和数据保护性能。结果证实了结合CRM、传感器数据和分布式技术在确保隐私和安全合规的同时增强医疗服务的潜力。
