A secure and scalable blockchain-based model for electronic health record management

In the contemporary digital era, the storage of Electronic Health Records on open platforms presents significant security and privacy challenges. Addressing these concerns requires standardizing the clinical deployment models currently in use. This paper proposes a robust model that overcomes critic...

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Bibliographic Details
Published in:Scientific reports Vol. 15; no. 1; pp. 11612 - 30
Main Authors: Pampattiwar, Kalyani, Chavan, Pallavi
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 04.04.2025
Nature Publishing Group
Nature Portfolio
Subjects:
639/166
692/700
Access control
Algorithms
Blockchain
Computer Security
Confidentiality
Data collection
Deployment
Electronic health record
Electronic Health Records
Electronic medical records
Evolutionary computing and genetic algorithms
Humanities and Social Sciences
Humans
multidisciplinary
Science
Science (multidisciplinary)
Security and privacy protection
Usage experience
Access control
Security and privacy protection
Evolutionary computing and genetic algorithms
Deployment
Usage experience
Electronic health record
ISSN:2045-2322, 2045-2322
Online Access:Get full text
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Summary:In the contemporary digital era, the storage of Electronic Health Records on open platforms presents significant security and privacy challenges. Addressing these concerns requires standardizing the clinical deployment models currently in use. This paper proposes a robust model that overcomes critical issues related to security, privacy, access control, and ownership transfer of patients’ records. The model incorporates data collection to assess clinical needs, followed by deployment-level checks to mitigate network attacks and enhance Quality-of-Service according to scalability demands. A Modified Genetic Algorithm is employed to improve blockchain scalability. The model also introduces mechanisms for ensuring database integrity, mitigating external attacks, and enhancing usability. It further supports platform-level modularization, access control, department-specific configurations, and patient-level confidentiality. The proposed solution outperforms existing systems, particularly in terms of ease of use, deployment delay, deployment complexity, and module-level efficiency, making it a highly suitable option for implementing secure, customized clinic security systems based on Electronic Health Records
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ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-025-94339-w