Cited by 316Blockchain Technology Applications and SecurityArtificial Intelligence in HealthcareArtificial Intelligence in Healthcare and Education

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Blockchain-Powered Parallel Healthcare Systems Based on the ACP Approach

Wang, Shuai, Wang, Jing, Wang, Xiao, Qiu, Tianyu, Yuan, Yong, Ouyang, Liwei, Guo, Yuanyuan, Wang, Fei-Yue·2018·IEEE Transactions on Computational Social Systems

DOI 10.1109/tcss.2018.2865526

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Abstract

To improve the accuracy of diagnosis and the effectiveness of treatment, a framework of parallel healthcare systems (PHSs) based on the artificial systems + computational experiments + parallel execution (ACP) approach is proposed in this paper. PHS uses artificial healthcare systems to model and represent patients’ conditions, diagnosis, and treatment process, then applies computational experiments to analyze and evaluate various therapeutic regimens, and implements parallel execution for decision-making support and real-time optimization in both actual and artificial healthcare processes. In addition, we combine the emerging blockchain technology with PHS, via constructing a consortium blockchain linking patients, hospitals, health bureaus, and healthcare communities for comprehensive healthcare data sharing, medical records review, and care auditability. Finally, a prototype named parallel gout diagnosis and treatment system is built and deployed to verify and demonstrate the effectiveness and efficiency of the blockchain-powered PHS framework.

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Authors: Wang, S., Wang, J., Wang, X., Qiu, T., Yuan, Y., Ouyang, L., Guo, Y., & Wang, F.-Y.
Affiliations: University of Chinese Academy of Sciences (CN)
Qingdao Academy of Intelligent Industries (CN)
ORCID: Wang, Shuai
Wang, Jing
Wang, Xiao
Qiu, Tianyu
Yuan, Yong
Ouyang, Liwei
Guo, Yuanyuan
Wang, Fei-Yue
Venue: IEEE Transactions on Computational Social Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2018-12
Volume: 5
Issue: 4
Pages: 942-950
ISSN: 2329-924X (ISSN-L)
2373-7476
DOI: 10.1109/tcss.2018.2865526
OpenAlex: W2889429201
Cited by: 316
References: 23
Citations by year: 2026: 5 · 2025: 19 · 2024: 43 · 2023: 65 · 2022: 68 · 2021: 49 · 2020: 38 · 2019: 28 · 2018: 1
FWCI: 46.77
Type: journal article
Language: en
Open access: closed
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations: IEEE Transactions on Computational Social Systems (publishedVersion)
Funders: National Natural Science Foundation of China (71472174, 61533019, 71232006, 61702519, 71702182)
Qingdao Think-Tank Foundation on Intelligent Industries
Topics: Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords: blockchain, consortium blockchain, numerical experiments, parallel execution, decision support, real-time optimization, health data sharing, medical records, gout diagnosis

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Blockchain-Powered Parallel Healthcare Systems Based on the ACP Approach

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