Indecision on the use of artificial intelligence in healthcare—A qualitative study of patient perspectives on trust, responsibility and self-determination using AI-CDSS

The findings demonstrate that patients perceive the AI-CDSS implementation as a challenge both for their own decision-making and for the future doctor-patient relationship. This is further indicated by the shifts of trust, responsibility, and self-determination as influencing decision-making factors. Concurrently, the findings show that the patients' perspective is profoundly influenced by the individuals' comprehension of the functionality of AI-CDSS. It is therefore of importance to provide patients and healthcare professionals with information to prevent indecision.

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Publication Details

Journal
Digital Health
Published
2025-05-01
DOI
https://doi.org/10.1177/20552076251339522
Citations
5
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
3.27

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article

Indecision on the use of artificial intelligence in healthcare—A qualitative study of patient perspectives on trust, responsibility and self-determination using AI-CDSS

Diana Schneider, Myriam Lipprandt, Wenke Liedtke, Heike Aichinger et al.
5 citations
Digital Health
Artificial Intelligence in Healthcare and Education
3.27
article

Indecision on the use of artificial intelligence in healthcare—A qualitative study of patient perspectives on trust, responsibility and self-determination using AI-CDSS

Diana Schneider, Myriam Lipprandt, Wenke Liedtke, Heike Aichinger, Tanja Bratan, Florian Funer, Martin Langanke, Andrea Diana Klausen, Nils B. Heyen
article en
5 citations

Abstract

The findings demonstrate that patients perceive the AI-CDSS implementation as a challenge both for their own decision-making and for the future doctor-patient relationship. This is further indicated by the shifts of trust, responsibility, and self-determination as influencing decision-making factors. Concurrently, the findings show that the patients' perspective is profoundly influenced by the individuals' comprehension of the functionality of AI-CDSS. It is therefore of importance to provide patients and healthcare professionals with information to prevent indecision.

Digital HealthVol. 11
Carl von Ossietzky Universität Oldenburg (DE), Medizinische Hochschule Hannover (DE), Universität Greifswald (DE), Fraunhofer Institute for Systems and Innovation Research (DE), Protestant University of Applied Sciences Rhineland-Westphalia-Lippe (DE), University of Tübingen (DE), RWTH Aachen University (DE)
Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 7%
Artificial Intelligence in Healthcare and Education
3.27
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Indecision on the use of artificial intelligence in healthcare—A qualitative study of patient perspectives on trust, responsibility and self-determination using AI-CDSS — Diana Schneider, Myriam Lipprandt, et al. · Digital Health (2025) | TGRS Research Map | TGRS