When artificial intelligence speaks back: Rethinking communication training in health professions education

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Authors: Tara Mansour
Cited by: 0

Abstract

Effective communication is a core competency in health professions’ education, yet opportunities for deliberate, scalable practice remain limited. This perspective explores how voice-enabled generative artificial intelligence (AI), such as ChatGPT Voice, can enhance communication training by enabling students to rehearse clinical dialogues, receive immediate feedback, and engage in reflection within psychologically safe environments. Drawing on recent evidence, the article illustrates how AI-mediated conversation supports skill development in empathy, adaptability, and professional identity formation across patient, family, and interprofessional contexts. Practical examples demonstrate how educators can integrate voice-based AI into coursework and clinical preparation to complement, not replace, human mentorship. Ethical and pedagogical considerations, including privacy, bias, and authenticity, are also discussed. Used thoughtfully, voice-enabled AI can extend the reach of communication education, preparing students to engage confidently and compassionately in the complex interpersonal dynamics of healthcare practice.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Patient-Provider Communication in Healthcare Simulation-Based Education in Healthcare

Publication details

Journal / source
Artificial Intelligence in Health
Volume
3
Issue
2
Pages
025450099–025450099
Publication date
6 January 2026