Integration of Artificial Intelligence in Nursing Simulation Education: A Scoping Review.

IF 2.4 3区医学 Q1 NURSING

Nurse Educator Pub Date : 2025-07-01 Epub Date: 2025-04-01 DOI:10.1097/NNE.0000000000001851

Maggie Mee Kie Chan, Abraham Wai Him Wan, Daphne Sze Ki Cheung, Edmond Pui Hang Choi, Engle Angela Chan, Janelle Yorke, Lizhen Wang

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引用次数: 0

Abstract

Background: Artificial intelligence (AI) integration in nursing simulation education is growing, yet understanding its implementation across simulation phases remains limited.

Purpose: To map AI applications across prebriefing, simulation, and debriefing phases in nursing simulation education.

Methods: Following Arksey and O'Malley's framework and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guidelines, we searched PubMed, CINAHL Complete, EMBASE, Scopus, and Web of Science (2015-2024) using terms related to nursing students, simulation, and artificial intelligence Studies were included if they involved prelicensure nursing students, AI-integrated nursing simulation education, and were peer-reviewed English publications. Data were charted using the population, concept, context framework.

Results: Analysis of 14 articles revealed AI applications in prebriefing (chatbots; n = 2), simulation (virtual environments; n = 11), and debriefing (feedback; n = 1). Benefits included standardization and personalized learning, while challenges involved technical limitations and faculty readiness.

Conclusions: AI shows potential in enhancing nursing simulation education through standardized learning experiences but requires structured faculty support and evaluation methods.

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人工智能在护理模拟教育中的整合：范围综述。

背景：人工智能（AI）在护理模拟教育中的整合正在增长，但对其在模拟阶段的实施的理解仍然有限。目的：探讨人工智能在护理模拟教育中的应用。方法：根据Arksey和O'Malley的框架和系统评价的首选报告项目以及范围评估扩展的meta分析扩展指南，我们检索了PubMed， CINAHL Complete， EMBASE， Scopus和Web of Science(2015-2024)，使用与护理学生，模拟和人工智能研究相关的术语，如果它们涉及护理学生，人工智能集成护理模拟教育，并且是同行评审的英文出版物。使用人口、概念、背景框架绘制数据图表。结果：对14篇文章的分析揭示了AI在预演（聊天机器人）中的应用；N = 2)、仿真(虚拟环境；N = 11)，汇报(反馈；n = 1)。好处包括标准化和个性化学习，而挑战包括技术限制和教师准备。结论：人工智能通过标准化的学习经验显示了加强护理模拟教育的潜力，但需要结构化的教师支持和评估方法。

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 Educator 医学-护理

CiteScore

2.60

自引率

7.70%

发文量

300

审稿时长

>12 weeks

期刊介绍： Nurse Educator, a scholarly, peer reviewed journal for faculty and administrators in schools of nursing and nurse educators in other settings, provides practical information and research related to nursing education. Topics include program, curriculum, course, and faculty development; teaching and learning in nursing; technology in nursing education; simulation; clinical teaching and evaluation; testing and measurement; trends and issues; and research in nursing education.