Department of Science and Education, Shenzhen Baoan Women's and Children's Hospital, Shenzhen, China.
Medical Laboratory of Shenzhen Luohu People's Hospital, Shenzhen, China.
JMIR Med Educ. 2024 Jun 13;10:e54987. doi: 10.2196/54987.
The integration of chatbots in nursing education is a rapidly evolving area with potential transformative impacts. This narrative review aims to synthesize and analyze the existing literature on chatbots in nursing education.
This study aims to comprehensively examine the temporal trends, international distribution, study designs, and implications of chatbots in nursing education.
A comprehensive search was conducted across 3 databases (PubMed, Web of Science, and Embase) following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram.
A total of 40 articles met the eligibility criteria, with a notable increase of publications in 2023 (n=28, 70%). Temporal analysis revealed a notable surge in publications from 2021 to 2023, emphasizing the growing scholarly interest. Geographically, Taiwan province made substantial contributions (n=8, 20%), followed by the United States (n=6, 15%) and South Korea (n=4, 10%). Study designs varied, with reviews (n=8, 20%) and editorials (n=7, 18%) being predominant, showcasing the richness of research in this domain.
Integrating chatbots into nursing education presents a promising yet relatively unexplored avenue. This review highlights the urgent need for original research, emphasizing the importance of ethical considerations.
聊天机器人在护理教育中的整合是一个快速发展的领域，具有潜在的变革性影响。本叙事性综述旨在综合分析护理教育中聊天机器人的现有文献。
本研究旨在全面考察护理教育中聊天机器人的时间趋势、国际分布、研究设计和影响。
按照 PRISMA（系统评价和荟萃分析的首选报告项目）流程图，在 3 个数据库（PubMed、Web of Science 和 Embase）中进行了全面搜索。
共有 40 篇文章符合入选标准，其中 2023 年的出版物显著增加（n=28，70%）。时间分析显示，2021 年至 2023 年的出版物数量显著增加，强调了学术界对此日益增长的兴趣。从地理位置上看，中国台湾地区做出了大量贡献（n=8，20%），其次是美国（n=6，15%）和韩国（n=4，10%）。研究设计多种多样，以综述（n=8，20%）和社论（n=7，18%）为主，展示了该领域研究的丰富性。
将聊天机器人融入护理教育是一个很有前途但尚未得到充分探索的领域。本综述强调了需要进行原创研究的紧迫性，同时强调了伦理考虑的重要性。
