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Performance Evaluation of a Patient-Centric Blockchain-based Healthcare Records Management Framework

Authors:

Huned Materwala,

Moien AB KhanAuthors Info & Claims

IECC '20: Proceedings of the 2nd International Electronics Communication Conference

Pages 39 - 50

https://doi.org/10.1145/3409934.3409941

Published: 25 August 2020 Publication History

Abstract

Healthcare records management system has been revolutionized over the last decade aiming to provide accurate, efficient and enhanced patient care. The existing management system is either based on a client/server approach where each hospital maintains its own database or on a cloud approach where the health records are stored in a cloud server and managed by a third-party cloud service provider. However, these approaches suffer from the issues of security, privacy, data vulnerability and fragmentation. Furthermore, healthcare providers and patients are unable to have a unified view of a patient's medical history from all visited medical care centers. This results in additional treatment costs, repeated medical tests and increased time to diagnosis. The data traceability, immutability, transparency, replication, security and privacy traits of the emerging blockchain technology have a promising potential in the healthcare domain addressing these issues. In this paper, we propose BlockHR, a patient-centric healthcare records management system for efficient medical care at an optimal cost. The system enables healthcare providers to enter the patients' medical record data to the blockchain network and allows patients to enter their social data such as sleeping habits, physical activities, and current location. Consequently, BlockHR provides support to doctors for better diagnosis and prognosis. We evaluate the performance of BlockHR in terms of execution time and the total amount of data transferred for ledger update with an increasing number of hospitals and blocks in the network.

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Mishra DMehra P(2025)DiabeticChain: a novel blockchain approach for patient-centric diabetic data managementThe Journal of Supercomputing10.1007/s11227-024-06589-681:1Online publication date: 1-Jan-2025
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Said HAl Barghuthi NBadi SHashim FGirija S(2024)PHR-NFT: Decentralized Blockchain Framework with Hyperledger and NFTs for Secure and Transparent Patient Health RecordsApplied Sciences10.3390/app14221074414:22(10744)Online publication date: 20-Nov-2024
https://doi.org/10.3390/app142210744
Kaafarani RIsmail LZahwe O(2024)Automatic Recommender System of Development Platforms for Smart Contract–Based Health Care Insurance Fraud Detection Solutions: Taxonomy and Performance EvaluationJournal of Medical Internet Research10.2196/5073026(e50730)Online publication date: 18-Oct-2024
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Index Terms

Performance Evaluation of a Patient-Centric Blockchain-based Healthcare Records Management Framework
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems

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IECC '20: Proceedings of the 2nd International Electronics Communication Conference

July 2020

184 pages

ISBN:9781450377706

DOI:10.1145/3409934

Copyright © 2020 ACM.

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Published: 25 August 2020

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Emirates Center for Energy and Environment Research of the United Arab Emirates University

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IECC 2020: 2020 2nd International Electronics Communication Conference

July 8 - 10, 2020

Singapore, Singapore

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Cited By

Mishra DMehra P(2025)DiabeticChain: a novel blockchain approach for patient-centric diabetic data managementThe Journal of Supercomputing10.1007/s11227-024-06589-681:1Online publication date: 1-Jan-2025
https://dl.acm.org/doi/10.1007/s11227-024-06589-6
Said HAl Barghuthi NBadi SHashim FGirija S(2024)PHR-NFT: Decentralized Blockchain Framework with Hyperledger and NFTs for Secure and Transparent Patient Health RecordsApplied Sciences10.3390/app14221074414:22(10744)Online publication date: 20-Nov-2024
https://doi.org/10.3390/app142210744
Kaafarani RIsmail LZahwe O(2024)Automatic Recommender System of Development Platforms for Smart Contract–Based Health Care Insurance Fraud Detection Solutions: Taxonomy and Performance EvaluationJournal of Medical Internet Research10.2196/5073026(e50730)Online publication date: 18-Oct-2024
https://doi.org/10.2196/50730
Deepthika KShobana GReddy KS SKumar BUpadhyay S(2024)Blockchain-Integrated Deep Learning for Secure Health Data Sharing and Consent Management2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI)10.1109/ICoICI62503.2024.10696868(101-106)Online publication date: 28-Aug-2024
https://doi.org/10.1109/ICoICI62503.2024.10696868
Abed ZShnawa AHadi MIbrahim KAdnan MHameed W(2023)Modeling of Metaheuristics with Deep Transfer Learning Based Visual Data Mining for the Healthcare Sector2023 6th International Conference on Engineering Technology and its Applications (IICETA)10.1109/IICETA57613.2023.10351274(629-635)Online publication date: 15-Jul-2023
https://doi.org/10.1109/IICETA57613.2023.10351274
Mishra DMehra P(2023)Blockchain-based Patient-Centric Healthcare Architecture: A Secure and Efficient Approach for Medical Data Sharing2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)10.1109/ICCCNT56998.2023.10307004(1-7)Online publication date: 6-Jul-2023
https://doi.org/10.1109/ICCCNT56998.2023.10307004
Nacer MPrakoonwit S(2022)The Vulnerability of the Blockchain Network From the Consensus PerspectiveRegulatory Aspects of Artificial Intelligence on Blockchain10.4018/978-1-7998-7927-5.ch001(1-20)Online publication date: 2022
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Mamun AAzam SGritti C(2022)Blockchain-Based Electronic Health Records Management: A Comprehensive Review and Future Research DirectionIEEE Access10.1109/ACCESS.2022.314107910(5768-5789)Online publication date: 2022
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Ismail LMaterwala HHennebelle A(2021)A Scoping Review of Integrated Blockchain-Cloud (BcC) Architecture for Healthcare: Applications, Challenges and SolutionsSensors10.3390/s2111375321:11(3753)Online publication date: 28-May-2021
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