Varna Free University, Bulgaria.
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.
Nurse Educ Pract. 2024 Oct;80:104148. doi: 10.1016/j.nepr.2024.104148. Epub 2024 Oct 9.
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.
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.
Scoping review.
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.
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.
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.
通过强弱机危（SWOT）分析模型，探讨目前在医院环境中护理教育中人工智能应用的实证研究。
在过去十年中，人工智能显著影响了医疗保健和护理领域，特别是在改善护理人员的护理和教育过程方面。尽管人工智能在护理教育中不断得到整合，但对其影响的理解仍然有限。
范围综述。
按照 PRISMA 指南，使用 PubMed 和 ScienceDirect 数据库进行系统检索，确定相关研究。主要纳入标准为 2018 年以来的实证研究，以及关注医院环境中护理学生/注册护士的研究。排除标准为非实证文献，如摘要、社论和观点相关文章，以及外科、儿科、妇科和精神健康护理方面的研究。
从 6517 篇文献中筛选出 15 篇文章。文献中提到的各个方面都强调了人工智能对教育体验、知识获取和心理安全的积极影响。还确定了人工智能在护理教育领域实施中面临的挑战，如技术问题、语言障碍和有限的现实体验。
综述结果表明，人工智能为护理教育提供了重要的益处。然而，持续评估、管理弱点以及最大限度地发挥人工智能在护理领域的教育潜力至关重要。
