Artificial intelligence in nursing education: A scoping review

IF 3.3 3区医学 Q1 NURSING

Nurse Education in Practice Pub Date : 2024-10-01 DOI:10.1016/j.nepr.2024.104148

Igal Lifshits , Dennis Rosenberg

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引用次数: 0

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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护理教育中的人工智能：范围综述

目的通过优势、劣势、机会和威胁（SWOT）模型的棱镜，探讨最近有关在医院环境中实施人工智能护理教育的实证研究。背景在过去十年中，人工智能对医疗保健和护理领域产生了显著影响，尤其是在改善护理人员的护理和教育过程方面。尽管人工智能正在不断融入护理教育，但对其影响的了解仍然有限。方法根据 PRISMA 指南，使用 PubMed 和 ScienceDirect 数据库进行系统检索，确定了相关研究。主要纳入标准为 2018 年以来的实证研究，且重点关注医院环境中的护理学生/注册护士。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、妇科和心理健康护理方面的研究。结果从6517篇文献中，共筛选出15篇文章。所采用的文献中提到的方面强调了人工智能对教育经验、知识获取和心理安全的积极影响。结论综述结果表明，人工智能为护理教育带来了显著的益处。综述结果表明，人工智能为护理教育带来了巨大的益处。然而，持续评估管理人工智能在护理领域的弱点并最大限度地发挥其教育潜力至关重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nurse Education in Practice NURSING-

CiteScore

5.40

自引率

9.40%

发文量

180

审稿时长

51 days

期刊介绍： Nurse Education in Practice enables lecturers and practitioners to both share and disseminate evidence that demonstrates the actual practice of education as it is experienced in the realities of their respective work environments. It is supportive of new authors and will be at the forefront in publishing individual and collaborative papers that demonstrate the link between education and practice.