A health-conformant reading of the GDPR’s right not to be subject to automated decision-making
Abstract As the use of Artificial Intelligence (AI) technologies in healthcare is expanding, patients in the European Union (EU) are increasingly subjected to automated medical decision-making. This development poses challenges to the protection of patients’ rights. A specific patients’ right not to...
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Published in | Medical law review Vol. 32; no. 3; pp. 373 - 391 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
United Kingdom
Oxford University Press
01.08.2024
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Subjects | |
Online Access | Get full text |
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Summary: | Abstract
As the use of Artificial Intelligence (AI) technologies in healthcare is expanding, patients in the European Union (EU) are increasingly subjected to automated medical decision-making. This development poses challenges to the protection of patients’ rights. A specific patients’ right not to be subject to automated medical decision-making is not considered part of the traditional portfolio of patients’ rights. The EU AI Act also does not contain such a right. The General Data Protection Regulation (GDPR) does, however, provide for the right ‘not to be subject to a decision based solely on automated processing’ in Article 22. At the same time, this provision has been severely critiqued in legal scholarship because of its lack of practical effectiveness. However, in December 2023, the Court of Justice of the EU first provided an interpretation of this right in C-634/21 (SCHUFA)—although in the context of credit scoring. Against this background, this article provides a critical analysis of the application of Article 22 GDPR to the medical context. The objective is to evaluate whether Article 22 GDPR may provide patients with the right to refuse automated medical decision-making. It proposes a health-conformant reading to strengthen patients’ rights in the EU. |
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Bibliography: | Medical Law Review, Vol. 32, No. 3, Sep 2024, 373-391 Informit, Melbourne (Vic) ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1464-3790 0967-0742 1464-3790 |
DOI: | 10.1093/medlaw/fwae029 |