CASIA OpenIR  > 复杂系统管理与控制国家重点实验室
Blockchain-Powered Parallel Healthcare Systems Based on the ACP Approach
Shuai Wang; Jing Wang; Wang X(王晓); Tianyu Qiu; Yong Yuan; Liwei Ouyang; Yuanyuan Guo; Fei-Yue Wang
Source PublicationIEEE Transactions on Computational Social Systems
2018
Volume5Issue:4Pages:942-950
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 linkingpatients, 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.
 

KeywordBlockchain
Indexed ByEI
Language英语
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/25775
Collection复杂系统管理与控制国家重点实验室
Recommended Citation
GB/T 7714
Shuai Wang,Jing Wang,Wang X,et al. Blockchain-Powered Parallel Healthcare Systems Based on the ACP Approach[J]. IEEE Transactions on Computational Social Systems,2018,5(4):942-950.
APA Shuai Wang.,Jing Wang.,Wang X.,Tianyu Qiu.,Yong Yuan.,...&Fei-Yue Wang.(2018).Blockchain-Powered Parallel Healthcare Systems Based on the ACP Approach.IEEE Transactions on Computational Social Systems,5(4),942-950.
MLA Shuai Wang,et al."Blockchain-Powered Parallel Healthcare Systems Based on the ACP Approach".IEEE Transactions on Computational Social Systems 5.4(2018):942-950.
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