Secure Healthcare Systems Based on Big Data Analytics: Knowledge Engineering with Big Data Analytics

Angel Cerli, A. and Kalaiselvi, K. and Varadarajan, Vijayakumar (2022) Secure Healthcare Systems Based on Big Data Analytics: Knowledge Engineering with Big Data Analytics. In: Handbook of Intelligent Healthcare Analytics. Wiley, pp. 189-211. ISBN 9781119792550

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Abstract

Adapting the digitization of medical information, such as hospital diagnostic reports, generates vast volumes of data over a limited period in the modern healthcare environment. Data security is important for the dissemination of electronic health records (EHRs) for patient-centered study, business research, medical research, mining of health knowledge, etc. Managing large-scale data and safeguarding patient welfare have been a long-standing challenge for researchers. Blockchain technology, though, has eased some of the issues by offering a secure and distributed network. Unfortunately, existing EHR structures suffer from data distortion, delayed coordination, and efficient cooperation in data acquisition, storage, and delivery. This chapter addresses new issues regarding the protection of health records and current and potential policy in the area. This includes an overview of the blockchain network infrastructure, emerging threats, and possible scope for effective handling of current and prospective medical information. It also offers a range of blockchain implementations for potential health insurance, large data, and blockchain study.

Item Type: Book Section
Subjects: Computer Science Engineering > Big Data
Divisions: Computer Science
Depositing User: Mr IR Admin
Date Deposited: 18 Sep 2024 09:18
Last Modified: 18 Sep 2024 09:18
URI: https://ir.vistas.ac.in/id/eprint/6377

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