主管:国家卫生健康委员会
主办:国家卫生健康委医院管理研究所
中国科技核心期刊(中国科技论文统计源期刊)
中国科学引文数据库(CSCD)核心库期刊
《中文核心期刊要目总览》核心期刊

中国护理管理 ›› 2025, Vol. 25 ›› Issue (8): 1217-1223.doi: 10.3969/j.issn.1672-1756.2025.08.018

• 循证护理 • 上一篇    下一篇

人工智能在护理教育领域应用的范围综述

郭润浦 彭淑怡 何兴梅 彭德艳 许景灿   

  1. 中南大学湘雅护理学院,410013 长沙市(郭润浦,彭淑怡,何兴梅);中南大学湘雅医院临床护理学教研室(彭德艳,许景灿)
  • 出版日期:2025-08-15 发布日期:2025-08-15
  • 通讯作者: 许景灿,硕士,副主任护师,科护士长,E-mail:xujingcan@csu.edu.cn
  • 作者简介:郭润浦,硕士在读
  • 基金资助:
    中南大学教育教学改革研究项目(2023jy086,2024jy157);科技创新2030“四大慢病重大专项”(2024ZD0524300,2024ZD0524303)

Application of Artificial Intelligence in nursing education: a scoping review

GUO Runpu, PENG Shuyi, HE Xingmei, PENG Deyan, XU Jingcan   

  1. Xiangya School of Nursing, Central South University, Changsha, 410013, China
  • Online:2025-08-15 Published:2025-08-15
  • Contact: E-mail:xujingcan@csu.edu.cn

摘要: 目的:对人工智能在护理教育领域的应用进行范围综述,为未来开展相关实践研究提供参考。方法:按范围综述的框架,系统检索中英文数据库相关研究,检索时间为建库至2025年2月28日,对纳入文献进行汇总分析。结果:共纳入21篇文献。人工智能在护理教育中的应用形式包括机器学习、自然语言处理、计算机视觉、机器人技术;主要应用场景涵盖智能教育环境、智能学习过程支持、智能教育评价和智能教师助理;评价指标包括有效性和可行性2个方面。结论:人工智能技术已应用于护理教育多个场景,展现出积极的教育赋能效应。未来需要进一步优化教学内容,完善评价指标体系,并开展高质量的长期效果追踪研究,以推动智能教育纵深发展,提升护理人才核心胜任力。

关键词: 人工智能;护理教育;范围综述

Abstract: Objective: To conduct a scoping review of the application of Artificial Intelligence in nursing education, understand the current situation, and provide references for future practical research. Methods: Following the framework of a scoping review, we systematically searched relevant studies in Chinese and English databases from their inception to February 28, 2025, and summarized and analyzed the included literature. Results: A total of 21 studies were included in the review. The application modalities of Artificial Intelligence in nursing education encompass machine learning, natural language processing, computer vision, and robotics. The primary application contexts include intelligent educational environments, support for intelligent learning processes, intelligent educational assessment, and intelligent teaching assistants. The evaluation criteria primarily focus on effectiveness and feasibility. Conclusion: Artificial Intelligence technologies have demonstrated significant potential and positive outcomes across various aspects of nursing education. Future research should focus on further optimizing teaching content, improving evaluation index systems, and conducting high-quality long-term effectiveness tracking studies. These efforts are essential to advancing intelligent education systems and enhancing the quality of nursing education and training.

Key words: Artificial Intelligence; nursing education; scoping review

中图分类号:  R47;R197