Generative artificial intelligence in healthcare simulation-based education: A scoping review

IF 2.5 3区医学 Q1 NURSING

Clinical Simulation in Nursing Pub Date : 2025-10-03 DOI:10.1016/j.ecns.2025.101819

Nicholas Wee Siong Neo MSc, RN , Joko Gunawan PhD, RN , Tracy Levett-Jones MEd, PhD, RN , Eng Tat Khoo PhD , Wei Ling Chua PhD, RN , Sok Ying Liaw PhD, RN

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引用次数: 0

Abstract

Aims

This review aimed to explore the current state of generative artificial intelligence (GenAI) use in simulation-based healthcare education through a comprehensive examination of GenAI types, applications and reported outcomes.

Methods

A scoping review was conducted utilizing the Joanna Briggs Institute’s methodological guidance. Six databases were searched from their inception until February 2025.

Results

We included 28 articles that were published between 2023 and 2025. Articles were mainly in the fields of medicine (n = 14) and nursing (n = 10). OpenAI’s GPT models were most frequently used to portray simulated characters and deliver automated feedback. GenAI-enhanced simulation was generally perceived as accurate, realistic and feasible, with some evidence supporting its use as a supplement to conventional simulation and to enhance learning outcomes. Perspectives, ethical considerations and recommendations for GenAI-enhanced simulation were also highlighted.

Conclusion

GenAI-enhanced simulation is gaining popularity and is likely to evolve alongside human-facilitated simulation. Future developments should focus on building AI expertise among simulation educators and harnessing the synergy between human intelligence and GenAI. Further rigorous research is needed to establish best practices.

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基于医疗保健模拟教育的生成式人工智能：范围综述

目的：本综述旨在通过对GenAI类型、应用和报告结果的综合研究，探讨GenAI在基于模拟的医疗保健教育中的应用现状。方法采用乔安娜布里格斯研究所的方法指南进行范围审查。从建立到2025年2月，对六个数据库进行了搜索。结果纳入2023 - 2025年间发表的论文28篇。文章主要集中在医学（n = 14）和护理（n = 10）领域。OpenAI的GPT模型最常用于描绘模拟角色并提供自动反馈。基因人工智能增强模拟通常被认为是准确、现实和可行的，有一些证据支持将其用作传统模拟的补充并提高学习效果。还强调了对genai增强模拟的观点、伦理考虑和建议。结论基因人工智能增强的模拟越来越受欢迎，并可能与人类促进的模拟一起发展。未来的发展应侧重于在模拟教育工作者中建立人工智能专业知识，并利用人类智能和人工智能之间的协同作用。需要进一步严格的研究来建立最佳实践。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Clinical Simulation in Nursing NURSING-

CiteScore

5.50

自引率

15.40%

发文量

107

期刊介绍： Clinical Simulation in Nursing is an international, peer reviewed journal published online monthly. Clinical Simulation in Nursing is the official journal of the International Nursing Association for Clinical Simulation & Learning (INACSL) and reflects its mission to advance the science of healthcare simulation. We will review and accept articles from other health provider disciplines, if they are determined to be of interest to our readership. The journal accepts manuscripts meeting one or more of the following criteria: Research articles and literature reviews (e.g. systematic, scoping, umbrella, integrative, etc.) about simulation Innovative teaching/learning strategies using simulation Articles updating guidelines, regulations, and legislative policies that impact simulation Leadership for simulation Simulation operations Clinical and academic uses of simulation.