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[人工智能在医学内科中的合法整合:数据保护、监管、报销及责任问题]

[Legal integration of artificial intelligence into internal medicine : Data protection, regulatory, reimbursement and liability questions].

作者信息

Haftenberger Anna, Dierks Christian

机构信息

Dierks+Company Rechtsanwaltsgesellschaft mbH, Invalidenstr. 113, 10115, Berlin, Deutschland.

出版信息

Inn Med (Heidelb). 2023 Nov;64(11):1044-1050. doi: 10.1007/s00108-023-01598-8. Epub 2023 Oct 20.

Abstract

Artificial intelligence (AI) opens up new opportunities to improve medical care in internal medicine; however, legal uncertainties in the application of AI impede its integration into the daily practice of internal medicine. To clarify the situation this paper gives an overview of the legal aspects related to AI and shows which frameworks must be adhered to in order to exploit the benefits of AI without neglecting the rights and protection of patients. The paper first addresses data protection issues which arise when sensitive health data are processed by AI. This is followed by a discussion of the key regulatory requirements for the use of AI in internal medicine. As the establishment of AI in practice also depends on sufficient funding, legal issues of reimbursement are additionally examined. Finally, the specific features that need to be considered when using AI to avoid medical liability consequences are highlighted.

摘要

人工智能(AI)为改善内科医疗护理带来了新机遇;然而,人工智能应用中的法律不确定性阻碍了其融入内科日常实践。为厘清这一情况,本文概述了与人工智能相关的法律方面,并指出为利用人工智能的益处而又不忽视患者权利和保护必须遵循哪些框架。本文首先论述了人工智能处理敏感健康数据时出现的数据保护问题。接下来讨论了内科使用人工智能的关键监管要求。由于人工智能在实践中的确立还取决于充足的资金,因此还额外探讨了报销的法律问题。最后,强调了使用人工智能时为避免医疗责任后果而需要考虑的具体特征。

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