Generative AI in healthcare: challenges to patient agency and ethical implications

Clinical research is no longer a monopolistic environment wherein patients and participants are the sole voice of information. The introduction and acceleration of AI-based methods in healthcare is creating a complex environment where human-derived data is no longer the sole mechanism through which researchers and clinicians explore and test their hypotheses. The concept of self-agency is intimately tied into this, as generative data does not encompass the same person-lived experiences as human-derived data. The lack of accountability and transparency in recognizing data sources supporting medical and research decisions has the potential to immediately and negatively impact patient care. This commentary considers how self-agency is being confronted by the introduction and proliferation of generative AI, and discusses future directions to improve, rather than undermine AI-fueled healthcare progress.

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Publication Details

Journal
Frontiers in Digital Health
Published
2025-06-18
DOI
https://doi.org/10.3389/fdgth.2025.1524553
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
Controls
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article

Generative AI in healthcare: challenges to patient agency and ethical implications

Scott A. Holmes, Eric A. Moulton, Vanda Faria
1 citations
Frontiers in Digital Health
Artificial Intelligence in Healthcare and Education
0.65
article

Generative AI in healthcare: challenges to patient agency and ethical implications

Scott A. Holmes, Eric A. Moulton, Vanda Faria
article en
1 citations

Abstract

Clinical research is no longer a monopolistic environment wherein patients and participants are the sole voice of information. The introduction and acceleration of AI-based methods in healthcare is creating a complex environment where human-derived data is no longer the sole mechanism through which researchers and clinicians explore and test their hypotheses. The concept of self-agency is intimately tied into this, as generative data does not encompass the same person-lived experiences as human-derived data. The lack of accountability and transparency in recognizing data sources supporting medical and research decisions has the potential to immediately and negatively impact patient care. This commentary considers how self-agency is being confronted by the introduction and proliferation of generative AI, and discusses future directions to improve, rather than undermine AI-fueled healthcare progress.

Frontiers in Digital HealthVol. 7
Uppsala University (SE), Boston Children's Hospital (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 24%
Artificial Intelligence in Healthcare and Education
0.65
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Generative AI in healthcare: challenges to patient agency and ethical implications — Scott A. Holmes, Eric A. Moulton, et al. · Frontiers in Digital Health (2025) | TGRS Research Map | TGRS