Artificial intelligence in nursing education: A scoping review.

Nurse Educ Pract

Hebrew University of Jerusalem, Israel, Israel Gerontological Data Center, School of Social Work and Social Welfare, Hebrew University of Jerusalem, Mount Scopus, Jerusalem 9190501, Israel. Electronic address:

Published: October 2024

AI Article Synopsis

  • The study investigates the use of artificial intelligence (AI) in nursing education within hospitals, employing the SWOT model to analyze its strengths, weaknesses, opportunities, and threats.
  • Over the past decade, AI has significantly impacted healthcare and nursing, enhancing educational processes and care, although its effects on nursing education remain poorly understood.
  • The review identified 15 relevant empirical studies, finding that AI positively influences learning and safety for nursing students, while also presenting challenges like technical difficulties and lack of realistic training experiences.

Article Abstract

Aim: To explore recent empirical studies on implementation of artificial intelligence in nursing education in hospital settings through the prism of the Strengths, Weaknesses, Opportunities and Threats (SWOT) model.

Background: In the last decade, artificial intelligence has markedly influenced healthcare and nursing domains, particularly in improving care and educational processes for nursing staff. Despite its ongoing integration in nursing education, an understanding of its impact remained limited.

Design: Scoping review.

Methods: A systematic search using PubMed and ScienceDirect databases, following PRISMA guidelines, identified relevant studies. The main inclusion criteria were empirical studies from 2018 onwards and a focus on nursing students/registered nurses in hospital settings. The exclusion criteria were non-empirical documentation such as abstracts, editorials and opinion-related articles, as well as studies in surgical, pediatric, gynecological and mental health nursing.

Results: In total, 15 articles were selected from a pool of 6517 documents. The aspects mentioned in the employed literature highlighted the positive impact of artificial intelligence on educational experiences, knowledge acquisition and mental safety. Challenges of the artificial intelligence implementation in the nursing education field, such as technical issues, language barriers and limited realistic experience were also identified.

Conclusions: The findings of the review suggest that artificial intelligence provides significant benefits for nursing education. However, continuous evaluation managing weaknesses and maximizing the educational potential of artificial intelligence in the nursing field is crucial.

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Source
http://dx.doi.org/10.1016/j.nepr.2024.104148DOI Listing

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