实践研究

大数据时代个人健康医疗信息的立法保护

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  • (四川外国语大学社会与法学院 重庆 400031)(中国科学院兰州文献情报中心 兰州 730030)(四川省社会科学院经济研究所 成都 610072)
童峰,男,1982年生,四川外国语大学副教授,硕士生导师。 张小红,男,1970年生,中国科学院兰州文献情报中心副教授。 刘金华,女,1979年生,四川省社会科学院经济研究所研究员,硕士生导师。

网络出版日期: 2020-05-14

基金资助

本文系2018年四川外国语大学年度科研项目“健康重庆背景下空巢老人长期照护模式的循证实践研究”(项目编号:sisu2018024)的研究成果之一。

Legislative Protection of Personal Health and Medical Information in the Era of Big Data

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  • (School of Society and Law,Sichuan International Studies University,Chongqing,400031)(Lanzhou Document Information Center, Chinese Academy of Sciences,Lanzhou,730030)(Institute of Economic Research,Sichuan Academy of Social Sciences,Chengdu,610072)

Online published: 2020-05-14

摘要

[目的/意义]在医疗大数据发展迅猛的今天,相应的法律体系建设仍不完善,如何对个人健康信息进行立法保护是目前亟待解决的问题之一。[方法/过程]基于健康医疗信息保护的视角,首次全面梳理了我国个人信息保护的现状及美国、欧盟的相关法律,并结合大数据时代下个人健康医疗信息保护的挑战和特殊性,对我国个人健康医疗信息的立法保护提出了综合建议。[结果/结论]研究建议主要包含加快对个人信息保护的立法,综合考虑和论证个人健康医疗信息的特殊性,结合时代特色出台相关法律法规以及维护大数据的健康有序发展等方面。研究结论为我国大数据医疗事业的发展提供了重要的理论参考。

本文引用格式

童峰, 张小红, 刘金华 . 大数据时代个人健康医疗信息的立法保护[J]. 情报资料工作, 2020 , 41(3) : 105 -112 . DOI: 10.12154/j.qbzlgz.2020.03.014

Abstract

[Purpose/significance] With the rapid development of medical big data, the construction of the corresponding legal system is still incomplete, and how to protect personal health information is one of the issues that need to be solved urgently. [Method/process] Based on the perspective of health and medical information protection, the first comprehensive review of the current status of China's personal information protection and related laws of the United States and the European Union, combined with the challenges and specialities of personal health medical information protection in the era of big data, legislative protection made comprehensive recommendations.[Result/conclusion] The suggestion including speeding up legislation on the protection of personal information, comprehensive consideraqtion and demonstration of the particularity of personal health and medical information, the introduction of relevant laws and regulations in the era of the times and the healthy and orderly development of the maintenance of big data. The research conclusions provide an important theoretical reference for the development of big data medical care in China.
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