%0 Journal Article
%@ 2369-3762
%I 
%V 10
%N 
%P e54987
%T Evolution of Chatbots in Nursing Education: Narrative Review
%A Zhang,Fang
%A Liu,Xiaoliu
%A Wu,Wenyan
%A Zhu,Shiben
%K nursing education
%K chatbots
%K artificial intelligence
%K narrative review
%K ChatGPT
%D 2024
%7 13.6.2024
%9 
%J JMIR Med Educ
%G English
%X Background: 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. Objective: This study aims to comprehensively examine the temporal trends, international distribution, study designs, and implications of chatbots in nursing education. Methods: 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. Results: 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. Conclusions: 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. 
%R 10.2196/54987
%U https://mededu.jmir.org/2024/1/e54987
%U https://doi.org/10.2196/54987