中国医疗大数据隐私信息保护研究

Jung-jin Kim
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引用次数: 0

摘要

信息技术(IT)的发展给医院治疗和医疗管理服务带来了许多变化。使用电子医疗记录积累的临床数据的医疗保健正在改变行业范式。此外,随着移动互联网和可穿戴健康设备的普及,建立一个融合“健康”和“医疗”的健康数据基础设施已经成为可能。“它提供了传统医疗机构(如医院)无法体验到的便利和速度。另一方面,医疗大数据在医学和电子病历中的收集和利用,带来了隐私投影的诸多变化。医院和其他机构以一种称为“信息隐私”的方式使用患者的隐私。换句话说,隐私被用作一种“信息”,用于疾病治疗、医学研究和保险产品开发。然而,随着医疗大数据从各种设备收集,并以各种方式进行再处理,个人隐私权受到侵犯的风险也在增加。虽然这些风险是固有的,但法律基础尚未完全建立。因此,本研究回顾了中国医疗大数据利用的现状,并分析了与医疗大数据隐私信息相关的各种法律问题。此外,本研究考察了医疗大数据隐私炎症的民事法律地位和保护措施,并提出立法完善措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study on Privacy Information Protection of Medical Big Data in China
A recent development of information technology (IT) has brought many changes to hospital treatment and medical administrative services. Healthcare using clinical data accumulated by electronic medical records is changing the industry paradigm. In addition, with the spread of mobile internet and wearable health devices, it has been possible to build an infrastructure for health data that can converge ‘health’ and ‘medical.’ It provides convenience and speed not experienced in traditional healthcare through medical institutions such as hospitals. On the other hand, the collection and utilization of medical big data in medicine and electronic medical records have brought about many changes in privacy projection. The privacy of patients is used in hospitals and other institutions in a way called ‘information privacy.’ In other words, privacy is used as a piece of ‘information’ and is used for disease treatment, medical research, and insurance product development. As medical big data is collected from various devices and reprocessed in various ways, however, the risk of personal privacy rights being infringed has increased. Although these risks are inherent, a legal basis is not perfectly established yet. Therefore, this study reviews the current status of medical big data utilization in China and analyzes various legal issues related to the privacy information of medical big data. Besides, the study examines the civil legal status and protection measureless of privacy inflammation on medical big data and then proposes legislative improvement measures.
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