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Evolution of Chatbots in Nursing Education: Narrative Review
Fang Zhang1, Xiaoliu Liu2, Wenyan Wu2
1Department of Science and Education, Shenzhen Baoan Women's and Children's Hospital, Shenzhen, China.
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.
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