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Related Concept Videos

Empathy02:34

Empathy

Some researchers suggest that altruism operates on empathy. Empathy is the capacity to understand another person’s perspective, to feel what he or she feels. An empathetic person makes an emotional connection with others and feels compelled to help (Batson, 1991). Empathy can be expressed in several ways, including cognitive, affective, and motor.
Therapeutic Communication01:30

Therapeutic Communication

Communication is a lifelong learning process. Through therapeutic communication, nurses can collect relevant assessment data, provide education and counseling, and interact during nursing interventions. Sending and receiving messages occur through verbal and nonverbal communication techniques and can happen separately or simultaneously.
Verbal communication depends on language or a prescribed way of using words so that people can share information effectively. The critical aspects of verbal...
Techniques of therapeutic communication I: Active Listening, Sharing Observations, Validation, and Using Touch01:15

Techniques of therapeutic communication I: Active Listening, Sharing Observations, Validation, and Using Touch

The history of therapeutic communication can be traced back to Florence Nightingale, who emphasized the importance of developing trusting relationships with patients. She taught that the presence of nurses with patients results in therapeutic healing.
Therapeutic communication is not the same as social interaction. Social interaction has no goal or purpose and consists of casual information sharing, whereas therapeutic communication has a plan or purpose for the conversation. Therapeutic...

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Related Experiment Video

Updated: Jun 14, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

Training Empathetic Communication Skills in Medical Students With a Role-Prompted GPT-4o Chatbot: Quasi-Experimental

Yannik Müller1, Hans Lemberg1, Paul Gellert1

  • 1Institute of Medical Sociology and Rehabilitation Science, Charité - Universitätsmedizin Berlin, Berlin, Berlin, Germany.

JMIR Medical Education
|June 12, 2026
PubMed
Summary

Artificial intelligence (AI) chatbots enhance medical students' professional communication skills. A single AI conversation improved perceived communication competence, showing AI's potential in relational learning.

Keywords:
AIChatGPTartificial intelligencechatbotdidactic methodeducational toolempathyfeedbackgenerative pretrained transformermedical educationsimulated patient

Related Experiment Videos

Last Updated: Jun 14, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

Area of Science:

  • Medical Education
  • Artificial Intelligence in Healthcare
  • Communication Skills Training

Background:

  • Growing concerns exist regarding AI negatively impacting human relationships.
  • AI can enhance professional relationships by improving conversational skills, particularly in empathetic contexts like doctor-patient interactions.
  • AI-powered role-playing tools enable practice for professional conversations, facilitating relational learning without human partners.

Purpose of the Study:

  • To evaluate the effectiveness of AI chatbots in developing professional communication skills within medical education.
  • To test the hypothesis that a single AI chatbot conversation enhances medical students' communication skills across four key competencies.

Main Methods:

  • A quasi-experimental study involved 162 medical students in four distinct role-prompted scenarios.
  • Students interacted with GPT-4o, rating their perceived communication competence (PCC) before and after the conversation.
  • Paired t-tests analyzed changes in PCC, with post hoc analyses examining feedback adequacy and other factors.

Main Results:

  • A single AI chatbot conversation significantly improved PCC in medical students (mean difference 0.94, p<0.001).
  • Perceived communication competence increased from 5.89 to 6.83 on a 0-10 scale across four patient role prompts.
  • AI-generated feedback was rated as useful (mean 7.92), though feedback adequacy did not correlate with PCC improvement.

Conclusions:

  • Role-prompted AI chatbots effectively increase self-assessed communication competencies, offering a new tool for relational learning in professional education.
  • This study provides a foundation for AI applications in teaching communication skills, with potential implications for various professional fields.
  • Future research could explore AI-driven conversational training for lawyers, marketers, and managers.