Interoperability and Synchronization Management of Blockchain-Based Decentralized e-Health Systems

被引:56
作者
Biswas, Sujit [1 ,2 ]
Sharif, Kashif [1 ,2 ]
Li, Fan [1 ,2 ]
Latif, Zohaib [1 ,2 ]
Kanhere, Salil S. [3 ]
Mohanty, Saraju P. [4 ]
机构
[1] Beijing Inst Technol, Sch Comp Sci, Beijing 100081, Peoples R China
[2] Beijing Inst Technol, Beijing Engn Res Ctr High Volume Language Informa, Beijing 100081, Peoples R China
[3] Univ New South Wales, Sch Comp Sci & Engn, Sydney, NSW 2052, Australia
[4] Univ North Texas, Dept Comp Sci & Engn, Denton, TX 76203 USA
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
Medical services; Synchronization; Access control; Medical diagnostic imaging; Data privacy; Blockchain (BC); distributed ledger technology; e-health ecosystem; interoperability; Internet of Things (IoT); synchronization; SECURE;
D O I
10.1109/TEM.2020.2989779
中图分类号
F [经济];
学科分类号
02 ;
摘要
E-health systems have witnessed widespread usage in the last few years, mainly due to advancements in health monitoring hardware and the availability of remote diagnostic services. Given the numerous benefits, there are two main challenges: management of the e-health ecosystem and security and privacy of sensitive data. The former results from nonunified, redundant, and often replicated information across numerous independent e-health service providers. While the later stems from sensitive information stored in centralized systems that can be compromised. Blockchain has emerged as a promising technology, which can be used to secure access and privacy of data and provide an umbrella management solution to large-scale distributed and decentralized enterprise systems. In this article, we present a unified system for migrating independent conventional e-health systems to a single blockchain-based ecosystem. More specifically, we address the issues of difference in data structures for conventional relational databases and blockchain file databases. The solution describes the conversion process and synchronization of information in a unified system for large-scale e-health data. The implementation and analysis show that significant improvements in data storage, access control, and seamless migration can be achieved.
引用
收藏
页码:1363 / 1376
页数:14
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