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Designing a Video-based Remote Clinical Consultation Simulation With Artificial Intelligence-based Communication
Rasmus Kyyhkynen1, Laura-Maria Peltonen2, Jouni Smed1
1Department of Computing, Faculty of Technology, University of Turku.
Computers, Informatics, Nursing : CIN
|December 10, 2025
Summary
This study explored AI-powered video consultation tools for training health professionals in nonverbal communication. Findings suggest objective feedback and emotionally charged scenarios enhance simulation-based learning.
Area of Science:
- Medical Education
- Human-Computer Interaction
- Artificial Intelligence in Healthcare
Background:
- Remote clinical consultations are increasingly common.
- Effective nonverbal communication is crucial for patient care.
- Current telehealth training may lack objective feedback mechanisms.
Purpose of the Study:
- To gather design ideas for an AI-driven video consultation training application.
- To explore healthcare professionals' views on telehealth training and nonverbal communication.
- To inform the development of AI-based feedback for communication skills.
Main Methods:
- Semi-structured interviews with 11 healthcare professionals and educators.
- Inductive thematic analysis of interview data.
- Exploration of AI for detecting nonverbal cues in simulated consultations.
Main Results:
- Key themes identified for designing simulated video consultations and AI feedback.
- Participants emphasized the need for objective communication skill measures.
- AI feedback should highlight positives, offer contextual information, and avoid excessive detail.
Conclusions:
- Objective measures and AI-driven feedback can enhance health professions education simulations.
- Emotionally charged scenarios are valuable for teaching nonverbal communication.
- Design considerations for AI in telehealth training were established.
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