中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Secure Medical Information Storage and Sharing Method Based on Multiblockchain Architecture

文献类型:期刊论文

作者Hu, Jian1; Zhu, Peng1; Li, Juanjuan2,3; Qi, Yong1; Xia, Youbing4; Wang, Fei-Yue5,6
刊名IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
出版日期2024-04-16
页码15
关键词Medical diagnostic imaging Secure storage Consensus protocol Hospitals Medical services Memory Insurance Blockchain information storage and sharing medical information multiblockchain architecture
ISSN号2329-924X
DOI10.1109/TCSS.2024.3381983
通讯作者Zhu, Peng(pzhu@njust.edu.cn)
英文摘要With the increasing application of technology in the healthcare industry, it has become imperative to establish a robust medical information ecosystem for effective management of medical information secure storage and sharing. This article proposes a healthier ecosystem in collaboration with the main consortium chain and data side chain, using multiblockchain architecture. In the implementation methods for this ecosystem, we store medical information in JavaScript Object Notation (JSON) format within different side chain structures. Additionally, we introduce an improved Practical Byzantine Fault Tolerant (PBFT) consensus mechanism based on a point nomination system and a dynamic RBAC access mechanism. By simulating a blockchain environment with multiple nodes, we analyze the efficiency of this method in terms of record retrieval, consensus mechanism, and storage execution time. The results demonstrate that compared to a single chain structure, the proposed method in this article achieves a substantial 30% improvement in query time efficiency. Moreover, the improved PBFT outperforms the traditional PBFT algorithm without dishonest nodes. Medical records stored in JSON format require shorter storage and execution time compared to text format records. This research contributes toward enhancing the security and efficiency of medical information storage and sharing among different medical subject information systems, thereby fostering a healthier healthcare alliance ecosystem.
WOS关键词BLOCKCHAIN ; HEALTH ; MANAGEMENT ; RECORD
资助项目National Natural Science Foundation of China[72174087] ; National Natural Science Foundation of China[71874082] ; National Natural Science Foundation of China[62103411] ; Social Science Foundation of Jiangsu Province[22TQB004] ; Key R&D Plan of Jiangsu Province[BE2022712] ; Jiangsu Special Research Project of TCM Science and Technology Development Plan[ZT202120]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:001205827900001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China ; Social Science Foundation of Jiangsu Province ; Key R&D Plan of Jiangsu Province ; Jiangsu Special Research Project of TCM Science and Technology Development Plan
源URL[http://ir.ia.ac.cn/handle/173211/58261]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Zhu, Peng
作者单位1.Nanjing Univ Sci & Technol, Nanjing 210094, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
4.Nanjing Med Univ, Affiliated Hosp 1, Nanjing 211166, Peoples R China
5.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
6.Macau Univ Sci & Technol, Fac Innovat Engn, Macau 999078, Peoples R China
推荐引用方式
GB/T 7714
Hu, Jian,Zhu, Peng,Li, Juanjuan,et al. A Secure Medical Information Storage and Sharing Method Based on Multiblockchain Architecture[J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,2024:15.
APA Hu, Jian,Zhu, Peng,Li, Juanjuan,Qi, Yong,Xia, Youbing,&Wang, Fei-Yue.(2024).A Secure Medical Information Storage and Sharing Method Based on Multiblockchain Architecture.IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,15.
MLA Hu, Jian,et al."A Secure Medical Information Storage and Sharing Method Based on Multiblockchain Architecture".IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (2024):15.

入库方式: OAI收割

来源:自动化研究所

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