Application of generative AI chatbot in nursing education and care: A literature review

The development of artificial intelligence is becoming increasingly important. A digitally competent healthcare workforce will be vital to provide digital solutions in clinical settings. The current review aims to critically appraise the existing evidence over the application of generative AI chatbot in nursing education to improve knowledge, satisfaction, usability, confidence and critical thinking of nursing learners. Literature searches were conducted using Medline, Embase, PubMed and ProQuest Central (From inception until October 2024). This review includes interventional studies in English or Chinese published in peer-review journal. Searching terms included “nursing education”, “Chatbot”, “Nursing Chatbot”, “Satisfaction”, “Confidence”, “knowledge”, "critical thinking" and "usability". Totally eight studies were included after the full review process. Generative AI Chatbots have been used various areas in nursing education such as knowledge in physiology, physical examination, health education etc. Participants demonstrated significant changes in different attributes like knowledge level towards the taught content, learning satisfaction, usability and confidence. Generative AI chatbot has the potential to enhance nurses' knowledge and personal attributes. Previous findings provide valuable insights into the potential benefits of AI in nursing practice and a reference to support future research on chatbots in nursing education and training.

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Publication Details

Journal
Science Talks
Published
2025-03-22
DOI
https://doi.org/10.1016/j.sctalk.2025.100454
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

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article

Application of generative AI chatbot in nursing education and care: A literature review

Ricky Ahmat, Fiona Wing Ki Tang
Science Talks
Artificial Intelligence in Healthcare and Education
article

Application of generative AI chatbot in nursing education and care: A literature review

Ricky Ahmat, Fiona Wing Ki Tang
article en

Abstract

The development of artificial intelligence is becoming increasingly important. A digitally competent healthcare workforce will be vital to provide digital solutions in clinical settings. The current review aims to critically appraise the existing evidence over the application of generative AI chatbot in nursing education to improve knowledge, satisfaction, usability, confidence and critical thinking of nursing learners. Literature searches were conducted using Medline, Embase, PubMed and ProQuest Central (From inception until October 2024). This review includes interventional studies in English or Chinese published in peer-review journal. Searching terms included “nursing education”, “Chatbot”, “Nursing Chatbot”, “Satisfaction”, “Confidence”, “knowledge”, "critical thinking" and "usability". Totally eight studies were included after the full review process. Generative AI Chatbots have been used various areas in nursing education such as knowledge in physiology, physical examination, health education etc. Participants demonstrated significant changes in different attributes like knowledge level towards the taught content, learning satisfaction, usability and confidence. Generative AI chatbot has the potential to enhance nurses' knowledge and personal attributes. Previous findings provide valuable insights into the potential benefits of AI in nursing practice and a reference to support future research on chatbots in nursing education and training.

Science TalksVol. 14
Chinese University of Hong Kong (HK)
Chinese University of Hong Kong
Quality Education
Openalex Percentile: Top 97%
Artificial Intelligence in Healthcare and Education
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Application of generative AI chatbot in nursing education and care: A literature review — Ricky Ahmat, Fiona Wing Ki Tang · Science Talks (2025) | TGRS Research Map | TGRS