Privacy Protection in Using Artificial Intelligence for Healthcare: Chinese Regulation in Comparative Perspective.
Privacy Protection in Using Artificial Intelligence for Healthcare: Chinese Regulation in Comparative Perspective.
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DOI：
10.3390/healthcare10101878
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发表时间：
2022-09-27
期刊：
影响因子：
2.8
通讯作者：
Zhang, Xiaohan
中科院分区：
文献类型：
--
作者：
Wang, Chao;Zhang, Jieyu;Lassi, Nicholas;Zhang, Xiaohan
关键词：
先进的人工智能（AI）技术现在广泛应用于中国的医疗和医疗保健领域。大量的个人数据从各种来源收集，并插入到用于医疗目的的人工智能算法中，对患者的隐私产生了挑战。这是一项对中国、美国和欧盟医疗数据操作规则的比较研究，这些数据被收集并用于人工智能功能，特别关注法律的差异和缺陷。隐私和个人信息的概念界限，技术发展对知情同意模式的影响，以及跨境数据流规则中自由与安全之间的冲突，被认为是监管用于人工智能目的的医疗保健数据时需要考虑的关键问题。此外，研究结果表明，隐私保护和技术发展之间的适当平衡，个人和群体利益之间，以及企业利润和公共利益之间的确定和观察。在具体规则制定方面，我国应制定专门的医疗信息保护法规，明确不同类型医疗信息的定义和分类，并制定更严格的责任追究机制。检查和对比医疗保健中人工智能的操作规则，可以促进知情的隐私治理和改进隐私立法。
Advanced artificial intelligence (AI) technologies are now widely employed in China’s medical and healthcare fields. Enormous amounts of personal data are collected from various sources and inserted into AI algorithms for medical purposes, producing challenges to patient’s privacy. This is a comparative study of Chinese, United States, and European Union operational rules for healthcare data that is collected and then used in AI functions, particularly focusing on legal differences and deficiencies. The conceptual boundaries of privacy and personal information, the influence of technological development on the informed consent model, and conflicts between freedom and security in rules of cross-border data flow were found to be key issues requiring consideration when regulating healthcare data used for AI purposes. Furthermore, the results indicate that the appropriate balance between privacy protections and technological development, between individual and group interests, and between corporate profits and the public interest should be identified and observed. In terms of specific rule-making, it was found that China should establish special regulations protecting healthcare information, provide clear definitions and classification schemas for different types of healthcare information, and enact stricter accountability mechanisms. Examining and contrasting operational rules for AI in health care promotes informed privacy governance and improved privacy legislation.
影响因子：
2.4
作者：
Goldthau, Andreas
通讯作者：
Goldthau, Andreas
影响因子：
120.7
作者：
Gostin, LO
通讯作者：
Gostin, LO
影响因子：
1.9
作者：
Fukuda-Parr, Sakiko;Gibbons, Elizabeth
通讯作者：
Gibbons, Elizabeth