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护理教育中基于人工智能的沟通培训技术:一项范围综述。

Artificial intelligence-based technology in communication training in nursing education: A scoping review.

作者信息

Yeung Joanna Wing Yan, Ho Ken Hok Man, Cheung Jasmine, Tsang Jenny Tsun Yee, Chong Daphne Ka Yan

机构信息

The Nethersole School of Nursing, The Chinese University of Hong Kong, Hong Kong.

School of Nursing and Midwifery, La Trobe University, Hong Kong.

出版信息

J Prof Nurs. 2025 Jul-Aug;59:40-50. doi: 10.1016/j.profnurs.2025.04.011. Epub 2025 Apr 24.

DOI:10.1016/j.profnurs.2025.04.011
PMID:40659433
Abstract

BACKGROUND

Artificial intelligence (AI) with advanced natural language processing capabilities holds significant promise for navigating the complexities of digital communication by providing personalized and interactive communication training. Communication skills are crucial in nursing education. However, there is a lack of comprehensive information about its use in nursing education.

OBJECTIVE

This scoping review aims to map and synthesize the literature on the applications and experiences relating to learning and teaching nursing communication skills using AI.

METHODS

Searches were conducted across five databases, to identify relevant papers published between January 2003 to June 2023. PAGER framework was employed to collate, summarize, and report the results.

RESULTS

Four articles were included in this review. Students had mixed learning experiences, while teaching experiences were minimally reported. Learning outcomes included self-efficacy, communication skills and knowledge, and learning attitude. Barriers included cultural and social barriers, technical problems, and logistical challenges. Nevertheless, AI-based communication training offers instant feedback, professional guidance, and psychological safety.

CONCLUSIONS

This scoping review summarized the application of AI in communication training in nursing education. Positive and negative learning experiences were reported, but teaching experiences were underreported and learning outcomes were inconclusive. More robust studies involving all stakeholders, including IT developers and teachers, are recommended.

摘要

背景

具有先进自然语言处理能力的人工智能通过提供个性化和交互式通信训练,在应对数字通信的复杂性方面具有巨大潜力。沟通技巧在护理教育中至关重要。然而,关于其在护理教育中的应用,缺乏全面的信息。

目的

本范围综述旨在梳理和综合有关使用人工智能学习和教授护理沟通技巧的应用及经验的文献。

方法

在五个数据库中进行检索,以识别2003年1月至2023年6月期间发表的相关论文。采用PAGER框架来整理、总结和报告结果。

结果

本综述纳入了四篇文章。学生的学习体验不一,而教学体验的报道极少。学习成果包括自我效能感、沟通技巧和知识以及学习态度。障碍包括文化和社会障碍、技术问题以及后勤挑战。尽管如此,基于人工智能的沟通训练提供即时反馈、专业指导和心理安全感。

结论

本范围综述总结了人工智能在护理教育沟通训练中的应用。报告了积极和消极的学习体验,但教学体验报道不足,学习成果尚无定论。建议开展涉及所有利益相关者(包括信息技术开发者和教师)的更有力研究。

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