Article: A deep learning neural network strategy for secure wireless communication in electronic health record surveillance Journal: International Journal of Electronic Healthcare (IJEH) 2023 Vol.13 No.4 pp.352 - 364 Abstract: The process of monitoring electronic health records (EHRs) depends on wireless security that is managed through application technologies, such as the internet of things (IoT). In view of the growing availability of medical narratives in the electronic health record, automated monitoring would be a workable way to improve treatment. This would take into account the growing accessibility of medical records. Patients who use electronic health records (EHRs) in general need to bear in mind how important security is. The cumulative management of security across access, modification, and storage is accomplished via the use of the common paradigm. This article presents an authorised joint security system (AJSS) with the intention of enhancing the level of security that is present in the aforementioned monitoring services. The process of monitoring electronic health records (EHRs) depends on wireless security that is managed through internet of things (IoT). Inderscience Publishers - linking academia, business and industry through research

Title: A deep learning neural network strategy for secure wireless communication in electronic health record surveillance

Authors: T. Senthil Kumar; L. Mohana Sundari; R. Muthalagu; K. Periyarselvam

Addresses: School of Computer Science Engineering and Information Systems, VIT University, Vellore, India ' Department of Software Systems, School of Computer Science and Engineering, VIT University, Vellore, India ' Biomedical Engineering, Karpaga Vinayaga College of Engineering and Technology, Palayanoor, Chengalpattu District, 603 308, Madhuranthagam(TK), India ' Department of Electronics and Communication Engineering, GRT Institute of Engineering and Technology, Tiruvallur, Tamil Nadu, India

Abstract: The process of monitoring electronic health records (EHRs) depends on wireless security that is managed through application technologies, such as the internet of things (IoT). In view of the growing availability of medical narratives in the electronic health record, automated monitoring would be a workable way to improve treatment. This would take into account the growing accessibility of medical records. Patients who use electronic health records (EHRs) in general need to bear in mind how important security is. The cumulative management of security across access, modification, and storage is accomplished via the use of the common paradigm. This article presents an authorised joint security system (AJSS) with the intention of enhancing the level of security that is present in the aforementioned monitoring services. The process of monitoring electronic health records (EHRs) depends on wireless security that is managed through internet of things (IoT).

Keywords: security; electronic health record; EHR; federated learning; internet of things; IoT.

DOI: 10.1504/IJEH.2023.138264

International Journal of Electronic Healthcare, 2023 Vol.13 No.4, pp.352 - 364

Received: 29 Aug 2023
Accepted: 26 Dec 2023
Published online: 30 Apr 2024 *

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Title: A deep learning neural network strategy for secure wireless communication in electronic health record surveillance

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