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Patient insights into empathy, compassion and self-disclosure in medical large language models: results from the IPALLM III study

Large language models (LLMs) offer promising applications in healthcare communication, including the provision of medical information and simulation of empathetic responses. However, the extent to which patients perceive such interactions as empathetic remains unclear. This study explores urological...

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Main Authors: Carl, Nicolas (Author) , Haggenmüller, Sarah (Author) , Winterstein, Jana Therés (Author) , Nguyen, Lisa (Author) , Wies, Christoph (Author) , Hetz, Martin Joachim (Author) , Mangold, Maurin Helen (Author) , Grüne, Britta (Author) , Michel, Maurice Stephan (Author) , Brinker, Titus Josef (Author) , Wessels, Frederik (Author)
Format: Article (Journal)
Language:English
Published: December 2025
In: World journal of urology
Year: 2025, Volume: 43, Issue: 1, Pages: 1-9
ISSN:1433-8726
DOI:10.1007/s00345-025-05872-2
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1007/s00345-025-05872-2
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Author Notes:Nicolas Carl, Sarah Haggenmüller, Jana Theres Winterstein, Lisa Nguyen, Christoph Wies, Martin Joachim Hetz, Maurin Helen Mangold, Britta Grüne, Maurice Stephan Michel, Titus Josef Brinker, Frederik Wessels
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Summary:Large language models (LLMs) offer promising applications in healthcare communication, including the provision of medical information and simulation of empathetic responses. However, the extent to which patients perceive such interactions as empathetic remains unclear. This study explores urological patients’ perceptions of empathy and compassion in interactions with an LLM-powered chatbot, as well as their willingness to disclose personal information.
Item Description:Online veröffentlicht: 14. August 2025
Gesehen am 06.11.2025
Physical Description:Online Resource
ISSN:1433-8726
DOI:10.1007/s00345-025-05872-2

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