一项随机对照试验：将生成人工智能与虚拟现实相结合用于产妇通信模拟的有效性

IF 2.5 3区医学 Q1 NURSING

Clinical Simulation in Nursing Pub Date : 2025-07-29 DOI:10.1016/j.ecns.2025.101786

Pao-Ju Chen PhD

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引用次数: 0

摘要

在产妇护理中，沟通和同理心同样至关重要。然而，由于缺乏沟通技巧的训练，护生在临床沟通中经常遇到困难。方法将基于chatgpt的生成式人工智能（AI）与虚拟现实相结合，开发自然语言处理虚拟现实通信仿真（NLP-VRCS），辅助通信技能训练。采用NLP-VRCS培训的护生（n = 53）与接受传统培训的护生（n = 52）在基线（T0）、培训后1周（T1）、1个月（T2）和培训后2个月（T3）的共情、沟通信心和技能水平进行比较。结果经广义估计方程调整后，实验组在T1、T2和T3的共情、沟通自信和沟通技巧得分均显著高于对照组。结论nlp - vrcs通过与虚拟孕妇的实时互动和人工智能支持的即时评估和反馈，提供个性化的培训课程和沟通策略建议。

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Effectiveness of integrating generative artificial intelligence with virtual reality for maternity communication simulation: A randomized controlled trial

Background

Communication and empathy are equally vital in maternity nursing. However, nursing students often encounter difficulties in clinical communication due to a lack of communication skills training.

Methods

A Natural Language Processing Virtual Reality Communication Simulation (NLP-VRCS) was developed by integrating ChatGPT-based generative artificial intelligence (AI) with virtual reality to assist communication skills training. The empathy, communication confidence, and skills of nursing students trained using the NLP-VRCS (n = 53) were compared to those who received traditional training (n = 52) at baseline (T0), one week (T1), one month (T2), and two months after the training (T3).

Results

After the results were adjusted using generalized estimating equations, the experimental group scores regarding empathy, communication confidence, and communication skills at T1, T2, and T3 were significantly higher than those of the control group.

Conclusion

NLP-VRCS offers personalized training sessions and advice on communication strategies through real-time interactions with a virtual pregnant woman and AI-powered instant assessment and feedback.

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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.