ArticleDigital health
Indecision on the use of artificial intelligence in healthcare-A qualitative study of patient perspectives on trust, responsibility and self-determination using AI-CDSS.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Patient Concerns Regarding Artificial Intelligence Applications in Health Care: Systematic Review and Meta-Synthesis Based on Social Ecological Theory.Journal of medical Internet research · 2026Pooled it
- Moral diversity and the challenge of responsibility in AI-CDSS.Philosophy, ethics, and humanities in medicine : PEHM · 2026Article
- The Role of Artificial Intelligence in Shaping the Doctor-Patient Relationship: A Narrative Review.Healthcare (Basel, Switzerland) · 2026Review
- Me, my doctor and AI: a qualitative interview study on patients' requirements for trustworthy use of AI-CDSS in ophthalmology.BMJ digital health & AI · 2026Article
- Physicians' perceptions and attitudes on artificial intelligence in hospital management: a qualitative study.BMC health services research · 2025Article
- Performance of Large Language Models in Diagnosing Rare Hematologic Diseases and the Impact of Their Diagnostic Outputs on Physicians: Combined Retrospective and Prospective Study.Journal of medical Internet research · 2025Article
- The ethical challenges in the integration of artificial intelligence and large language models in medical education: A scoping review.PloS one · 2025Article
- Artificial intelligence in chronic disease self-management: current applications and future directions.Frontiers in public health · 2025Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Patients are confronted with the digital transformation of medicine, yet there is a paucity of studies that discuss the patient perspective on AI-based clinical decision support systems (AI-CDSS). Our study addresses this research gap by focusing on their needs and concerns, especially regarding trust, responsibility, and self-determination. Methods: The qualitative study was conducted between April 2021 and April 2022 with 18 patients from Germany to participate in three focus groups (5-7 per group). The groups were presented with AI-CDSS examples (surgery, nephrology, and home-ventilated care) to discuss ethical and social aspects of their implementation. The interviews were analyzed in accordance with the structured qualitative content analysis of Kuckartz and Rädiker (2022). Results: The interviewees expressed considerable uncertainty regarding the AI-CDSS implementation. The results highlight the patients' perspective of AI-CDSS as a supportive tool or as a second opinion, which could challenge long-held values of trust, responsibility, and self-determination, particularly the relationship between trust and responsibility may undergo a transformation, leading to a loss of both. Conclusion: 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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