TY - JOUR AU - Lee, AU - Kung Hsiu-An, hsinhua AU - Udayasankaran, Jai Ganesh AU - Kijsanayotin, Boonchai AU -B Marcelo, Alvin AU - Chao, Louis R AU - Hsu, jian - yeh PY - 2020 DA - 20/6/9 TI -An基于区块链的个人健康记录交换架构和管理平台:开发和可用性研究JO - J Med Internet Res SP - e16748 VL - 22 IS - 6kw -区块链KW -个人健康记录KW -健康信息互操作性KW -精准医疗KW -健康信息管理AB -背景:个人健康记录(PHR)的安全性、正确性和保护对于健康和医疗服务至关重要。区块链体系结构可以提供高效的数据检索和安全需求。可交换的PHRs和患者健康自我管理可以为传统医疗服务带来许多好处,允许人们管理自己的健康记录,用于疾病预防、预测和控制,同时减轻卫生保健基础设施的资源负担,改善人口健康和生活质量。目的:本研究旨在为国际健康记录交换平台构建一个基于区块链的架构,以确保健康记录的保密性、完整性和健康管理的可用性,并使用健康7级快速医疗互操作性资源国际标准作为数据格式,允许国际、跨机构和患者/医生交换PHRs。方法:本研究的PHR体系结构由两个主要部分组成。第一个组件是PHR管理平台,用户可以在该平台上上传PHR,查看其记录内容,授权与医生或其他医疗保健提供者进行PHR交换,并查看其区块信息。当上传PHR时,通过SHA-256算法计算PHR的哈希值,并通过Rivest-Shamir-Adleman加密机制加密PHR,然后将其传输到安全数据库。第二个组件是区块链交换架构,它基于以太坊创建一个私有链。通过基于身份的共识机制传递交易的权威证明被用于达成共识。 The hash value was calculated based on the previous hash value, block content, and timestamp by a hash function. Results: The PHR blockchain architecture constructed in this study is an effective method for the management and utilization of PHRs. The platform has been deployed in Southeast Asian countries via the Asia eHealth Information Network (AeHIN) and has become the first PHR management platform for cross-region medical data exchange. Conclusions: Some systems have shown that blockchain technology has great potential for electronic health record applications. This study combined different types of data storage modes to effectively solve the problems of PHR data security, storage, and transmission and proposed a hybrid blockchain and data security approach to enable effective international PHR exchange. By partnering with the AeHIN and making use of the network’s regional reach and expert pool, the platform could be deployed and promoted successfully. In the future, the PHR platform could be utilized for the purpose of precision and individual medicine in a cross-country manner because of the platform’s provision of a secure and efficient PHR sharing and management architecture, making it a reasonable base for future data collection sources and the data analytics needed for precision medicine. SN - 1438-8871 UR - //www.mybigtv.com/2020/6/e16748 UR - https://doi.org/10.2196/16748 UR - http://www.ncbi.nlm.nih.gov/pubmed/32515743 DO - 10.2196/16748 ID - info:doi/10.2196/16748 ER -
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