TY  - JOUR
AU  - Zhang, Fang
AU  - Liu, Xiaoliu
AU  - Wu, Wenyan
AU  - Zhu, Shiben
PY  - 2024
DA  - 2024/6/13
TI  - Evolution of Chatbots in Nursing Education: Narrative Review
JO  - JMIR Med Educ
SP  - e54987
VL  - 10
KW  - nursing education
KW  - chatbots
KW  - artificial intelligence
KW  - narrative review
KW  - ChatGPT
AB  - 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. 
SN  - 2369-3762
UR  - https://mededu.jmir.org/2024/1/e54987
UR  - https://doi.org/10.2196/54987
DO  - 10.2196/54987
ID  - info:doi/10.2196/54987
ER  -