Generative artificial intelligence simulation: A complementary modality to support health interview skill development

Background Communication and health interview skills are essential for safe nursing practice, yet teaching them is resource-intensive. Generative artificial intelligence (AI) simulated patients may provide scalable rehearsal opportunities for novice learners preparing for clinical practice. Method A qualitative descriptive study with thematic analysis examined focus group data from first-year Australian students who practiced health interviews using an AI platform. Results Students reported variable perceptions of simulation fidelity but valued the low-pressure learning environment. Rehearsal, reflection, and automated feedback supported improvements in question phrasing and sequencing. Conclusion AI platforms show promise as a complementary tool for developing foundational health interview and communication skills in nursing students.

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Publication Details

Journal
Clinical Simulation in Nursing
Published
2026-09-21
DOI
https://doi.org/10.1016/j.ecns.2026.102063
Primary Topic
Simulation-Based Education in Healthcare
Type
article
Field-Weighted Citation Impact
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article

Generative artificial intelligence simulation: A complementary modality to support health interview skill development

Kathryn Steirn, Emily Wallis, Nathan Oliver
Clinical Simulation in Nursing
Simulation-Based Education in Healthcare
article

Generative artificial intelligence simulation: A complementary modality to support health interview skill development

Kathryn Steirn, Emily Wallis, Nathan Oliver
article en

Abstract

Background Communication and health interview skills are essential for safe nursing practice, yet teaching them is resource-intensive. Generative artificial intelligence (AI) simulated patients may provide scalable rehearsal opportunities for novice learners preparing for clinical practice. Method A qualitative descriptive study with thematic analysis examined focus group data from first-year Australian students who practiced health interviews using an AI platform. Results Students reported variable perceptions of simulation fidelity but valued the low-pressure learning environment. Rehearsal, reflection, and automated feedback supported improvements in question phrasing and sequencing. Conclusion AI platforms show promise as a complementary tool for developing foundational health interview and communication skills in nursing students.

Clinical Simulation in NursingVol. 120
University of Canberra (AU), Health Education and Training Institute (AU)
Quality Education
Openalex Percentile: Top 11%
Simulation-Based Education in Healthcare
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