护士教育中的人工智能:一个图书识别分析
Xiaoyue Yu1,2, Weizhen Wu1, Jun Ni3
1Department of Obstetrics and Gynecology, Department of Nursing, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, Guangdong-HongKong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China, gzhmc.edu.cn.
Nursing research and practice
|February 13, 2026
概括
人工智能 (AI) 为护理教育提供了有前途的途径,提高了从业人员的准备. 本文献分析确定了人工智能在护理教育研究中的关键趋势和贡献者.
科学领域:
- 图书统计学 图书统计学
- 教育中的人工智能
- 护理教育 护理教育
背景情况:
- 人工智能 (AI) 正在跨行业迅速发展.
- 人工智能为改善护理教育和培养未来从业人员提供了巨大的潜力.
- 医疗保健环境需要在护士培训中不断进行调整.
研究的目的:
- 进行对人工智能在护理教育中的研究进行文献分析.
- 确定这一领域的关键趋势,有影响力的来源和新兴话题.
- 为未来人工智能增强护理教育的研究和开发提供见解.
主要方法:
- 使用VOSviewer,CiteCite和Bibliometrix R软件包进行图书统计分析.
- 可视化出版数据以识别模式和趋势.
- 关键词,来源和贡献机构的分析.
主要成果:
- 总共分析了430个出版物.
- 美国和中国是主要的贡献者,新加坡国立大学是主要机构.
- 主要期刊包括"护士教育今日"和"护士教育在实践中".
- 热门话题包括技术,教育计划和模拟.
结论:
- 这项研究为人工智能在护理教育中的整合提供了新的视角.
- 这些发现可以指导那些对人工智能在培养未来护士方面的作用感兴趣的学者.
- 强调技术和模拟在护理课程中日益重要.
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