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Blockchain and cloud computing-based secure electronic healthcare records storage and sharing

Healthcare information is essential for both service providers and patients. Further secure sharing and maintenance of Electronic Healthcare Records (EHR) are imperative. EHR systems in healthcare have traditionally relied on a centralized system (e.g., cloud) to exchange health data across healthca...

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Autores principales: Amanat, Amna, Rizwan, Muhammad, Maple, Carsten, Zikria, Yousaf Bin, Almadhor, Ahmad S., Kim, Sung Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9343689/
https://www.ncbi.nlm.nih.gov/pubmed/35928494
http://dx.doi.org/10.3389/fpubh.2022.938707
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author Amanat, Amna
Rizwan, Muhammad
Maple, Carsten
Zikria, Yousaf Bin
Almadhor, Ahmad S.
Kim, Sung Won
author_facet Amanat, Amna
Rizwan, Muhammad
Maple, Carsten
Zikria, Yousaf Bin
Almadhor, Ahmad S.
Kim, Sung Won
author_sort Amanat, Amna
collection PubMed
description Healthcare information is essential for both service providers and patients. Further secure sharing and maintenance of Electronic Healthcare Records (EHR) are imperative. EHR systems in healthcare have traditionally relied on a centralized system (e.g., cloud) to exchange health data across healthcare stakeholders, which may expose private and sensitive patient information. EHR has struggled to meet the demands of several stakeholders and systems in terms of safety, isolation, and other regulatory constraints. Blockchain is a distributed, decentralized ledger technology that can provide secured, validated, and immutable data sharing facilities. Blockchain creates a distributed ledger system using techniques of cryptography (hashes) that are consistent and permit actions to be carried out in a distributed manner without needing a centralized authority. Data exploitation is difficult and evident in a blockchain network due to its immutability. We propose an architecture based on blockchain technology that authenticates the user identity using a Proof of Stake (POS) cryptography consensus mechanism and Secure Hash Algorithm (SHA256) to secure EHR sharing among different electronic healthcare systems. An Elliptic Curve Digital Signature Algorithm (ECDSA) is used to verify EHR sensors to assemble and transmit data to cloud infrastructure. Results indicate that the proposed solution performs exceptionally well when compared with existing solutions, which include Proof-Of-Work (POW), Secure Hash Algorithm (SHA-1), and Message Digest (MD5) in terms of power consumption, authenticity, and security of healthcare records.
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spelling pubmed-93436892022-08-03 Blockchain and cloud computing-based secure electronic healthcare records storage and sharing Amanat, Amna Rizwan, Muhammad Maple, Carsten Zikria, Yousaf Bin Almadhor, Ahmad S. Kim, Sung Won Front Public Health Public Health Healthcare information is essential for both service providers and patients. Further secure sharing and maintenance of Electronic Healthcare Records (EHR) are imperative. EHR systems in healthcare have traditionally relied on a centralized system (e.g., cloud) to exchange health data across healthcare stakeholders, which may expose private and sensitive patient information. EHR has struggled to meet the demands of several stakeholders and systems in terms of safety, isolation, and other regulatory constraints. Blockchain is a distributed, decentralized ledger technology that can provide secured, validated, and immutable data sharing facilities. Blockchain creates a distributed ledger system using techniques of cryptography (hashes) that are consistent and permit actions to be carried out in a distributed manner without needing a centralized authority. Data exploitation is difficult and evident in a blockchain network due to its immutability. We propose an architecture based on blockchain technology that authenticates the user identity using a Proof of Stake (POS) cryptography consensus mechanism and Secure Hash Algorithm (SHA256) to secure EHR sharing among different electronic healthcare systems. An Elliptic Curve Digital Signature Algorithm (ECDSA) is used to verify EHR sensors to assemble and transmit data to cloud infrastructure. Results indicate that the proposed solution performs exceptionally well when compared with existing solutions, which include Proof-Of-Work (POW), Secure Hash Algorithm (SHA-1), and Message Digest (MD5) in terms of power consumption, authenticity, and security of healthcare records. Frontiers Media S.A. 2022-07-19 /pmc/articles/PMC9343689/ /pubmed/35928494 http://dx.doi.org/10.3389/fpubh.2022.938707 Text en Copyright © 2022 Amanat, Rizwan, Maple, Zikria, Almadhor and Kim. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Amanat, Amna
Rizwan, Muhammad
Maple, Carsten
Zikria, Yousaf Bin
Almadhor, Ahmad S.
Kim, Sung Won
Blockchain and cloud computing-based secure electronic healthcare records storage and sharing
title Blockchain and cloud computing-based secure electronic healthcare records storage and sharing
title_full Blockchain and cloud computing-based secure electronic healthcare records storage and sharing
title_fullStr Blockchain and cloud computing-based secure electronic healthcare records storage and sharing
title_full_unstemmed Blockchain and cloud computing-based secure electronic healthcare records storage and sharing
title_short Blockchain and cloud computing-based secure electronic healthcare records storage and sharing
title_sort blockchain and cloud computing-based secure electronic healthcare records storage and sharing
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9343689/
https://www.ncbi.nlm.nih.gov/pubmed/35928494
http://dx.doi.org/10.3389/fpubh.2022.938707
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