Artificial intelligence-enabled virtual reality simulation for clinical deterioration training: An effectiveness-implementation hybrid study

IF 3.3 3区医学 Q1 NURSING

Nurse Education in Practice Pub Date : 2025-07-03 DOI:10.1016/j.nepr.2025.104462

Sok Ying Liaw , Khairul Dzakirin Bin Rusli , Jian Zhi Tan , Yan Hui Celestine Wee , Nicholas Wee Siong Neo , Wei Ling Chua

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Abstract

Aim

This study evaluated the effectiveness of artificial intelligence in virtual reality simulation (AI-enabled VRS) in improving graduating nursing students’ knowledge on recognising and responding to clinical deterioration and its implementation outcomes.

Background

An AI-enabled VRS was adopted into a simulation-based education programme to facilitate graduating nursing students’ transition to clinical practice. There is a need to evaluate its effectiveness and implementation outcomes to facilitate the uptake of this innovative intervention into routine educational practice.

Design

This study employed a wait-list quasi-experimental, type 2 hybrid study trial.

Methods

A total of 147 graduating nursing students were recruited and assigned to experimental or control groups. The experimental groups undertook the AI-enabled VRS as part of the simulation-based program, while the control groups undertook the conventional programme. After the study intervention, a survey questionnaire was administered to measure the implementation outcomes.

Results

Despite no significant differences between groups, the experimental group reported higher mean scores for knowledge on recognising and responding to clinical deterioration and interprofessional communication than the control group. Overall, participants reported positive perceptions regarding the acceptability, adoption, appropriateness and feasibility of the AI-enabled VRS. They also recognised the benefits of the AI-enabled VRS in preparing them for clinical practice. However, participants highlighted the need to improve AI-human conversations, usability and technical stability.

Conclusion

The evaluation of the effectiveness and implementation outcomes of AI-enabled VRS identified the need for further strategies such as integrating generative AI (e.g. ChatGPT) to optimise its learning effectiveness and programme acceptance.

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用于临床恶化训练的人工智能虚拟现实模拟：一项有效性-实施混合研究

目的本研究评估虚拟现实仿真（AI-enabled VRS）中人工智能在提高护理专业毕业生识别和应对临床恶化知识方面的有效性及其实施结果。一个基于人工智能的VRS被用于模拟教育计划，以帮助即将毕业的护理学生过渡到临床实践。有必要评估其有效性和实施结果，以促进将这一创新干预措施纳入日常教育实践。本研究采用等待名单准实验，2型混合研究试验。方法招募147名护理专业毕业生，分为实验组和对照组。实验组采用基于人工智能的VRS作为模拟程序的一部分，而对照组采用常规程序。研究干预后，进行问卷调查以衡量实施结果。结果实验组在临床恶化认知及应对知识、跨专业沟通知识得分均高于对照组，但两组间差异无统计学意义。总体而言，参与者报告了对人工智能VRS的可接受性、采用性、适当性和可行性的积极看法。他们还认识到人工智能VRS在为临床实践做准备方面的好处。然而，与会者强调了提高人工智能与人类对话、可用性和技术稳定性的必要性。对人工智能VRS的有效性和实施结果的评估表明，需要进一步的策略，如整合生成式人工智能（如ChatGPT），以优化其学习效率和项目接受度。

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

Nurse Education in Practice NURSING-

CiteScore

5.40

自引率

9.40%

发文量

180

审稿时长

51 days

期刊介绍： Nurse Education in Practice enables lecturers and practitioners to both share and disseminate evidence that demonstrates the actual practice of education as it is experienced in the realities of their respective work environments. It is supportive of new authors and will be at the forefront in publishing individual and collaborative papers that demonstrate the link between education and practice.