Artificial intelligence in nursing: A journey from data to wisdom.

Q3 Nursing
Nursing Pub Date : 2025-04-01 Epub Date: 2025-03-24 DOI:10.1097/NSG.0000000000000165
Kathleen McGrow
{"title":"Artificial intelligence in nursing: A journey from data to wisdom.","authors":"Kathleen McGrow","doi":"10.1097/NSG.0000000000000165","DOIUrl":null,"url":null,"abstract":"<p><strong>Abstract: </strong>Artificial intelligence (AI) can enhance nursing practice by assisting in clinical decisions, patient outcomes, and operational efficiencies. This article explores the role of AI in decision-making, data management, and task automation within the Data, Information, Knowledge, Wisdom Framework. It also addresses data quality, ethical considerations, and the need for continuous AI system improvement, emphasizing AI as a valuable healthcare partner.</p>","PeriodicalId":35641,"journal":{"name":"Nursing","volume":"55 4","pages":"16-24"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11922186/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nursing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/NSG.0000000000000165","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/24 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"Nursing","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract: Artificial intelligence (AI) can enhance nursing practice by assisting in clinical decisions, patient outcomes, and operational efficiencies. This article explores the role of AI in decision-making, data management, and task automation within the Data, Information, Knowledge, Wisdom Framework. It also addresses data quality, ethical considerations, and the need for continuous AI system improvement, emphasizing AI as a valuable healthcare partner.

护理中的人工智能:从数据到智慧的旅程。
摘要:人工智能(AI)可以通过协助临床决策、患者结果和操作效率来提高护理实践。本文探讨了人工智能在数据、信息、知识、智慧框架下的决策、数据管理和任务自动化中的作用。它还涉及数据质量、道德考虑以及持续改进人工智能系统的需求,强调人工智能是有价值的医疗保健合作伙伴。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Nursing
Nursing Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
338
期刊介绍: Nursing2020 (ISSN 0360-4039; online ISSN 1538-8689) published its first issue in November 1971, under founders Gene W. Jackson and Daniel Cheney. In the intervening years, its circulation has grown to over 150,000, making it one of the largest nursing journals in the world. Published monthly, Nursing2020 is widely regarded as offering current, practical contents to its readers, and has won many editorial awards testifying to the quality of its copy and graphics. The editorial and clinical staff, a 19-member Editorial Board of distinguished clinicians and practitioners, and over 100 invited reviewers help ensure the quality of this publication.
×
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