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BEHeDaS: A Blockchain Electronic Health Data System for Secure Medical Records Exchange

Oladele, James Kolapo and Ojugo, Arnold Adimabua and Odiakaose, Christopher Chukwufunaya and Emordi, Frances Uchechukwu and Abere, Reuben Akporube and Nwozor, Blessing and Ejeh, Patrick Ogholuwarami and Geteloma, Victor Ochuko (2024) BEHeDaS: A Blockchain Electronic Health Data System for Secure Medical Records Exchange. Journal of Computing Theories and Applications, 1 (3). pp. 231-242. ISSN 3024-9104

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Abstract

Blockchain platforms propagate into every facet, including managing medical services with professional and patient-centered applications. With its sensitive nature, record privacy has become imminent with medical services for patient diagnosis and treatments. The nature of medical records has continued to necessitate their availability, reachability, accessibility, security, mobility, and confidentiality. Challenges to these include authorized transfer of patient records on referral, security across platforms, content diversity, platform interoperability, etc. These, are today – demystified with blockchain-based apps, which proffers platform/application services to achieve data features associated with the nature of the records. We use a permissioned-blockchain for healthcare record management. Our choice of permission mode with a hyper-fabric ledger that uses a world-state on a peer-to-peer chain – is that its smart contracts do not require a complex algorithm to yield controlled transparency for users. Its actors include patients, practitioners, and health-related officers as users to create, retrieve, and store patient medical records and aid interoperability. With a population of 500, the system yields a transaction (query and https) response time of 0.56 seconds and 0.42 seconds, respectively. To cater to platform scalability and accessibility, the system yielded 0.78 seconds and 063 seconds, respectively, for 2500 users.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Depositing User: dl fts
Date Deposited: 29 Nov 2024 01:06
Last Modified: 29 Nov 2024 01:35
URI: https://dl.futuretechsci.org/id/eprint/49

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