A deep learning neural network strategy for secure wireless communication in electronic health record surveillance Online publication date: Tue, 30-Apr-2024
by T. Senthil Kumar; L. Mohana Sundari; R. Muthalagu; K. Periyarselvam
International Journal of Electronic Healthcare (IJEH), Vol. 13, No. 4, 2023
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).
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