Preparing for meeting patients: A generative AI-enhanced virtual reality patient encounter practice

IF 2.4 3区医学 Q1 NURSING

Clinical Simulation in Nursing Pub Date : 2026-02-01 Epub Date: 2026-01-19 DOI:10.1016/j.ecns.2025.101889

Hao He , Xinhao Xu , Yuanyuan Gu , Yupei Duan , Shangman Li , Jhon Bueno Vesga

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引用次数: 0

Abstract

Background

Human simulated patient-based patient encounter practices, though effective, are limited by factors such as training, cost, and actors’ availability. Virtual reality (VR) could be an alternative. While traditional VR practices were preprogrammed and inflexible in responding to learners’ questions, generative artificial intelligence (GenAI)-enhanced VR practices point to a new way.

Methods

This study adopted a GenAI-enhanced VR learning environment for nursing students to practice conversation and information-gathering skills. We examined their skill-related performance transfer from the VR practice to the in-person test.

Results

Participants’ skill-related performance successfully transferred from the VR practice to the in-person test.

Conclusion

A GenAI-enhanced VR patient encounter practice can effectively prepare nursing students for in-person patient encounters.

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为会见病人做准备：生成人工智能增强的虚拟现实病人会见实践

人类模拟的基于病人的病人接触实践虽然有效，但受到诸如培训、成本和演员可用性等因素的限制。虚拟现实（VR）可能是另一种选择。虽然传统的虚拟现实实践是预先编程的，在回答学习者的问题时缺乏灵活性，但生成人工智能（GenAI）增强的虚拟现实实践指出了一条新的途径。方法采用genai增强的虚拟现实学习环境，让护生练习会话和信息收集技能。我们检查了他们从虚拟现实实践到现场测试的技能相关表现转移。结果参与者的技能相关表现成功地从虚拟现实实践转移到现场测试。结论genai增强的虚拟现实患者接触实践可以有效地为护生面对面患者接触做好准备。

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.