Evaluation of an AI-Based Chatbot Providing Real-Time Feedback in Communication Training for Mental Health Care Professionals: Proof-of-Concept Observational Study
The results highlight the potential of AI-supported training to address key communication challenges in medicine, particularly in the context of mental health care. The combination of real-time practice and immediate feedback may foster sustained improvements in physician-patient interactions. Integrating such tools into medical education could offer a valuable complement to traditional training methods. Future research may aim to refine AI models to improve their reliability and investigate the long-term effects and objective measures.
Authors
- Christian Stegemann–Philipps (ORCID: https://orcid.org/0000-0002-8122-5724)
- Friederike Holderried (ORCID: https://orcid.org/0000-0003-1828-0920)
- Teresa Festl‐Wietek (ORCID: https://orcid.org/0000-0003-1450-1757)
- Rebecca Sarah Erschens (ORCID: https://orcid.org/0000-0002-4433-9378)
- Bernd Herrmann (ORCID: https://orcid.org/0009-0000-1851-8746)
- Lea Herschbach (ORCID: https://orcid.org/0009-0005-6378-5073)
- Anne Herrmann‐Werner (ORCID: https://orcid.org/0000-0003-2413-7047)
- Alessandra Sonanini (ORCID: https://orcid.org/0009-0009-4893-3989)
Institutions
- University of Tübingen (DE)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-11-28
- DOI
- https://doi.org/10.2196/82818
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00