Patients’ Perceptions of Artificial Intelligence Acceptance, Challenges, and Use in Medical Care: Qualitative Study

Patients were generally open to the use of AI in medical care as a support tool rather than as an independent decision-making system. Acceptance and successful use of AI in medical care could be achieved if it is easy to use, adapted to individual characteristics of the users, and accessible to everyone, with the primary aim of enhancing patient well-being. AI in health care requires a regulatory framework, quality standards, and monitoring to ensure socially fair and environmentally sustainable development. However, the successful implementation of AI in medical practice depends on overcoming the mentioned challenges and addressing user needs.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2025-05-15
DOI
https://doi.org/10.2196/70487
Citations
19
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
12.43
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article

Patients’ Perceptions of Artificial Intelligence Acceptance, Challenges, and Use in Medical Care: Qualitative Study

Timo Apfelbacher, Sarah Negash, Kathleen Denny, Jana Gundlack et al.
19 citations
Journal of Medical Internet Research
Artificial Intelligence in Healthcare and Education
12.43
article

Patients’ Perceptions of Artificial Intelligence Acceptance, Challenges, and Use in Medical Care: Qualitative Study

Timo Apfelbacher, Sarah Negash, Kathleen Denny, Jana Gundlack, Thomas Frese, Susanne Unverzagt, Carolin Thiel, Charlotte Buch, Jan Christoph, Rafael Mikolajczyk
article en
19 citations

Abstract

Patients were generally open to the use of AI in medical care as a support tool rather than as an independent decision-making system. Acceptance and successful use of AI in medical care could be achieved if it is easy to use, adapted to individual characteristics of the users, and accessible to everyone, with the primary aim of enhancing patient well-being. AI in health care requires a regulatory framework, quality standards, and monitoring to ensure socially fair and environmentally sustainable development. However, the successful implementation of AI in medical practice depends on overcoming the mentioned challenges and addressing user needs.

Journal of Medical Internet ResearchVol. 27
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), Martin Luther University Halle-Wittenberg (DE)
Openalex Percentile: Top 1%
Artificial Intelligence in Healthcare and Education
12.43
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