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Electronic Health Record using Blockchain with Data Security Approach

Journal of Scientific and Technical Research

Volume 13 Issue 2

Published: 2023
Author(s) Name: Kuldeep Chouhan, Bishnu, Abhishek and Rajat | Author(s) Affiliation: Dept of Comp. Sci. and Applications, School of Engg and Tech, Sharda Univ., Greater Noida, UP
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Abstract

Electronic Health Records (EHRs) have revolutionized the healthcare landscape by enabling the digitized storage and management of patient information. This work explores the critical role of EHRs in facilitating healthcare research and driving evidence based on medical practices. The integration of blockchain technology presents a promising data security approach for EHRs. Blockchain technology is considered a vital component in informational technology. It has an important place in the digital age we live in and has made a great impact on people’s lives. Additionally, blockchain technology is expected to improve existing IT infrastructure in many areas in the coming years. Recent technological developments have led to significant advances in healthcare. When sharing private health information, Information security is unfavorable to integrating and communicating with electronic health records (EHR). In this, choosing the best model of blockchain for security and reliability. Electronic health records in healthcare need a precise method to analyze the effect of different models of blockchain on their work. This study uses empirical studies to evaluate the effect of blockchain gives new ideas and methods for further workers. This work study collected responses from many experts in the field of medical management to evaluate the effect of different models of blockchain. In addition to many ideas of these experts, a decision-making model is used in the study to eliminate confusion arising from external studies and organize information regarding the content of the chosen blockchain model. Fuzzy analytical network analysis (F-ANP) is applied to calculate the weight of model, and the same method as fuzzy preference sequence (TOPSIS) medical ideal is used to evaluate the results of other methods. problem-solving. Additionally, the results from this empirical research will serve as a tool for selecting the most appropriate blockchain model to maintain the absence of EHR breaches.

Keywords: Blockchain, Cryptographic security, Data security, Healthcare, Integration.

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