RETRACTED: Design and Application of Electronic Rehabilitation Medical Record (ERMR) Sharing Scheme Based on Blockchain Technology (Retracted Article)

被引:6
|
作者
Zhang, Jing [1 ]
Li, Zhenjing [2 ,3 ]
Tan, Rong [1 ]
Liu, Cong [1 ]
机构
[1] Shanghai Business Sch, Fac Business Informat, Shanghai 201400, Peoples R China
[2] Hannover Med Sch, Rehabil Dept, D-30625 Hannover, Germany
[3] Shenzhen Longhua Dist Cent Hosp, Rehabil Dept, Shenzhen 518110, Peoples R China
基金
中国博士后科学基金; 上海市自然科学基金;
关键词
D O I
10.1155/2021/3540830
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
As the value of blockchain has been widely recognized, more and more industries are proposing their blockchain solutions, including the rehabilitation medical industry. Blockchain can play a powerful role in the field of rehabilitation medicine, bringing a new research idea to the management of rehabilitation medical data. The electronic rehabilitation medical record (ERMR) contains rich data dimensions, which can provide comprehensive and accurate information for assessing the health of patients, thereby enhancing the effect of rehabilitation treatment. This paper analyzed the data characteristics of ERMR and the application requirements of blockchain in rehabilitation medicine. Based on the basic principles of blockchain, the technical advantages of blockchain used in ERMR sharing have been studied. In addition, this paper designed a blockchain-based ERMR sharing scheme in detail, using the specific technologies of blockchain such as hybrid P2P network, block-chain data structure, asymmetric encryption algorithm, digital signature, and Raft consensus algorithm to achieve distributed storage, data security, privacy protection, data consistency, data traceability, and data ownership in the process of ERMR sharing. The research results of this paper have important practical significance for realizing the safe and efficient sharing of ERMR, and can provide important technical references for the management of rehabilitation medical data with broad application prospects
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页数:12
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