Considerations for Implementing a Patient and Public Engagement Model of Healthcare AI

This commentary builds on the lead article for this volume by proposing additional considerations for implementing a healthcare AI framework centered on patients and citizens. It argues that rather than being mere data providers, patients and citizens must serve as external validators, thereby enhancing transparency and fairness in the development of healthcare AI. The participation of patients and citizens is essential to safeguarding the rights of data providers, ensuring transparent AI usage, and promoting equitable healthcare access. However, current domestic systems, including broad consent mechanisms, limit meaningful involvement. This commentary addresses these limitations by highlighting the need for centralized, provider-focused data governance, clear information dissemination, and ongoing education initiatives. Ultimately, while the participation of patients and citizens is crucial for fostering trust in healthcare AI, that participation must be supported with systematic strategies and long-term investments.

Authors

Publication Details

Journal
Korean Journal of Medical Ethics
Published
2024-12-01
DOI
https://doi.org/10.35301/ksme.2024.27.4.215
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.12

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article

Considerations for Implementing a Patient and Public Engagement Model of Healthcare AI

J.J. Lee, Hannah Kim
1 citations
Korean Journal of Medical Ethics
Artificial Intelligence in Healthcare and Education
0.12
article

Considerations for Implementing a Patient and Public Engagement Model of Healthcare AI

J.J. Lee, Hannah Kim
article en
1 citations

Abstract

This commentary builds on the lead article for this volume by proposing additional considerations for implementing a healthcare AI framework centered on patients and citizens. It argues that rather than being mere data providers, patients and citizens must serve as external validators, thereby enhancing transparency and fairness in the development of healthcare AI. The participation of patients and citizens is essential to safeguarding the rights of data providers, ensuring transparent AI usage, and promoting equitable healthcare access. However, current domestic systems, including broad consent mechanisms, limit meaningful involvement. This commentary addresses these limitations by highlighting the need for centralized, provider-focused data governance, clear information dissemination, and ongoing education initiatives. Ultimately, while the participation of patients and citizens is crucial for fostering trust in healthcare AI, that participation must be supported with systematic strategies and long-term investments.

Korean Journal of Medical EthicsVol. 27(4)
National Institutes of Health
Openalex Percentile: Top 45%
Artificial Intelligence in Healthcare and Education
0.12
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