@文章{信息:doi/10.2196/13583，作者=“郑小晨与孙，Shengjing与Mukkamala, Raghava Rao与Vatrapu, Ravi与Ordieres-Mer{\'e}， Joaqu{\'i}n”，标题=“加速健康数据共享:基于物联网和分布式账本技术的解决方案”，期刊=“J Med Internet Res”，年=“2019”，月=“6”，日=“06”，卷=“21”，号=“6”，页=“e13583”，关键词=“物联网;分布式账本技术;数据共享;卫生信息互操作性;极微小的混乱;屏蔽身份验证的消息传递;区块链;背景:随着物联网(IoT)和可穿戴技术的快速发展，每时每刻都会产生大量与健康相关的数据。这些健康大数据蕴含着巨大的价值，可以为健康生态系统中的所有利益相关者带来利益。目前，这些数据大多是孤立的，分散在不同的卫生保健系统或公共和私人数据库中。 It prevents the fulfillment of intelligent health care inspired by these big data. Security and privacy concerns and the lack of ensured authenticity trails of data bring even more obstacles to health data sharing. With a decentralized and consensus-driven nature, distributed ledger technologies (DLTs) provide reliable solutions such as blockchain, Ethereum, and IOTA Tangle to facilitate the health care data sharing. Objective: This study aimed to develop a health-related data sharing system by integrating IoT and DLT to enable secure, fee-less, tamper-resistant, highly-scalable, and granularly-controllable health data exchange, as well as build a prototype and conduct experiments to verify the feasibility of the proposed solution. Methods: The health-related data are generated by 2 types of IoT devices: wearable devices and stationary air quality sensors. The data sharing mechanism is enabled by IOTA's distributed ledger, the Tangle, which is a directed acyclic graph. Masked Authenticated Messaging (MAM) is adopted to facilitate data communications among different parties. Merkle Hash Tree is used for data encryption and verification. Results: A prototype system was built according to the proposed solution. It uses a smartwatch and multiple air sensors as the sensing layer; a smartphone and a single-board computer (Raspberry Pi) as the gateway; and a local server for data publishing. The prototype was applied to the remote diagnosis of tremor disease. The results proved that the solution could enable costless data integrity and flexible access management during data sharing. Conclusions: DLT integrated with IoT technologies could greatly improve the health-related data sharing. The proposed solution based on IOTA Tangle and MAM could overcome many challenges faced by other traditional blockchain-based solutions in terms of cost, efficiency, scalability, and flexibility in data access management. This study also showed the possibility of fully decentralized health data sharing by replacing the local server with edge computing devices. ", issn="1438-8871", doi="10.2196/13583", url="//www.mybigtv.com/2019/6/e13583/", url="https://doi.org/10.2196/13583", url="http://www.ncbi.nlm.nih.gov/pubmed/31172963" }