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Blockchain-Powered Parallel Healthcare Systems Based on the ACP Approach
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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“Allowing cloud providers to control the keys could potentially increase the risks of data leakage because cloud administrators have the chance to ''touch'' the keys and further to decrypt data.”
From A review of secure and privacy-preserving medical data sharing (2019) · cites this paper as [22]
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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)
- Venue
- IEEE Transactions on Computational Social Systems
- Published
- 2018-12
- Volume
- 5
- Issue
- 4
- Pages
- 942-950
- ISSN
- 2329-924X (ISSN-L)
- 2373-7476
- 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
- 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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