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

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

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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Show all 23 references

Research works printed but not linked: 13

  1. xue, 2017, A medical data sharing model via blockchain, Acta Autom Sinica, 43, 1555
  2. yuan, 2016, Blockchain: The state of the art and future trends, Acta Autom Sinica, 42, 481
  3. yuan, 2017, Parallel blockchain: Concept, methods and connotation analysis, Acta Autom Sinica, 43, 1703
  4. wang, 2016, Parallel vision: An ACP-based approach to intelligent vision computing, Acta Autom Sinica, 42, 1490
  5. qi, 2017, The research advances of knowledge graph, Technol Intell Eng, 3, 4
  6. bai, 2017, Parallel robotics and parallel unmanned systems: Framework, structure, process, platform and applications, Acta Autom Sinica, 43, 161
  7. wang, 2017, Parallel surgery: An ACP-based approach for intelligent operations, Pattern Recognit Artif Intell, 30, 961
  8. li, 2017, Parallel learning—A new framework for machine learning, Acta Autom Sinica, 43, 1
  9. wang, 2004, Artificial societies, computational experiments, and parallel systems: A discussion on computational theory of complex social-economic systems, J Complex Systems and Complexity Science, 1, 25
  10. 2018, Healthcare’s New Smart Technology Model
  11. li, 2016, Practice of Gout
  12. wang, 2017, Parallel medicine, Proc 7th East Gout Forum Rep Asia–Pacific Gout Conf
  13. wang, 2017, Parallel gout: An ACP based system framework for gout diagnosis and treatment, Pattern Recognit Artif Intell, 30, 1057

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Metadata

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
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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