Sassi, Zeineb and Eickmann, Sascha and Roller, Roland and Osmanodja, Bilgin and Burchardt, Aljoscha and Tretter, Max and Samhammer, David and Dabrock, Peter and Moller, Sebastian and Budde, Klemens and Herrmann, Anne (2025) Human-centered AI in healthcare: empowering patients and support persons in clinical decision-making. BMC MEDICAL INFORMATICS AND DECISION MAKING, 25 (1): 431. ISSN 1472-6947
Full text not available from this repository. (Request a copy)Abstract
Artificial intelligence (AI) has emerged as a promising tool to enhance medical practice and improve patient outcomes. However, introducing AI in interactions between patients, support persons (SPs) and physicians may create real or perceived information asymmetries and may not always be well accepted by end-users. To ensure that AI contributes to patient empowerment rather than undermining it, there is a need to better understand how AI-based tools affect communication, trust and decision-making in clinical encounters. Research should focus on identifying how AI can support patients' autonomy, trust and acceptance, how it may strengthen the role of SPs and promote transparent and ethically sound care. With these findings, applying a human-centered design with established technology acceptance frameworks (e.g. TAM, UTAUT) will be crucial to guide evidence-based implementation. Only by involving patients, SPs and physicians in AI development can these technologies unfold their full potential to deliver equitable, interpretable and patient-centered healthcare.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | ARTIFICIAL-INTELLIGENCE |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Institut für Epidemiologie und Präventivmedizin > Medical Sociology Medicine > Lehrstuhl für Allgemeinmedizin |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 17 Feb 2026 07:22 |
| Last Modified: | 17 Feb 2026 07:22 |
| URI: | https://pred.uni-regensburg.de/id/eprint/66439 |
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