护理教育中的人工智能:范围综述

IF 3.3 3区 医学 Q1 NURSING
Igal Lifshits , Dennis Rosenberg
{"title":"护理教育中的人工智能:范围综述","authors":"Igal Lifshits ,&nbsp;Dennis Rosenberg","doi":"10.1016/j.nepr.2024.104148","DOIUrl":null,"url":null,"abstract":"<div><h3>Aim</h3><div>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.</div></div><div><h3>Background</h3><div>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.</div></div><div><h3>Design</h3><div>Scoping review.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusions</h3><div>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.</div></div>","PeriodicalId":48715,"journal":{"name":"Nurse Education in Practice","volume":"80 ","pages":"Article 104148"},"PeriodicalIF":3.3000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence in nursing education: A scoping review\",\"authors\":\"Igal Lifshits ,&nbsp;Dennis Rosenberg\",\"doi\":\"10.1016/j.nepr.2024.104148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Aim</h3><div>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.</div></div><div><h3>Background</h3><div>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.</div></div><div><h3>Design</h3><div>Scoping review.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusions</h3><div>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.</div></div>\",\"PeriodicalId\":48715,\"journal\":{\"name\":\"Nurse Education in Practice\",\"volume\":\"80 \",\"pages\":\"Article 104148\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nurse Education in Practice\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1471595324002774\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nurse Education in Practice","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1471595324002774","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0

摘要

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。
Artificial intelligence in nursing education: A scoping review

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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信