Application of artificial intelligence in nursing practice: a qualitative study of Jordanian nurses' perspectives.

IF 3.1 2区 医学 Q1 NURSING BMC Nursing Pub Date : 2025-01-25 DOI:10.1186/s12912-024-02658-6
Wesam Taher Almagharbeh, Hazem AbdulKareem Alfanash, Khaldoon Aied Alnawafleh, Amal Ali Alasmari, Faris Abdelkarim Alsaraireh, Mutaz M Dreidi, Abdulqadir J Nashwan
{"title":"Application of artificial intelligence in nursing practice: a qualitative study of Jordanian nurses' perspectives.","authors":"Wesam Taher Almagharbeh, Hazem AbdulKareem Alfanash, Khaldoon Aied Alnawafleh, Amal Ali Alasmari, Faris Abdelkarim Alsaraireh, Mutaz M Dreidi, Abdulqadir J Nashwan","doi":"10.1186/s12912-024-02658-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Artificial Intelligence (AI) is increasingly applied in healthcare to boost productivity, reduce administrative workloads, and improve patient outcomes. In nursing, AI offers both opportunities and challenges. This study explores nurses' perspectives on implementing AI in nursing practice within the context of Jordan, focusing on the perceived benefits and concerns related to its integration.</p><p><strong>Method: </strong>A qualitative research approach was employed, involving semi-structured interviews with 25 nurses and 3 focus group discussions, each consisting of 7-8 participants. The data collected was coded and analyzed using thematic analysis to identify recurring patterns and key themes in the nurses' views on AI.</p><p><strong>Results: </strong>Three major themes emerged from the analysis: (1) AI as an efficiency tool - Nurses recognized AI's ability to reduce administrative burdens and improve patient monitoring in real-time. (2) Ethical and practical concerns - Nurses raised issues regarding patient privacy, data security, and the fear that AI might replace human decision-making in care. (3) Lack of preparedness and training - There was a consensus on nurses' inadequate training in AI tools, limiting their ability to integrate AI into their practice fully.</p><p><strong>Conclusion: </strong>While AI is seen as a valuable tool to enhance nursing productivity, several challenges still need to be addressed, particularly regarding ethical concerns and insufficient training. To ensure AI complements nursing without compromising the human element, healthcare institutions must address these issues by implementing comprehensive training programs and establishing clear ethical guidelines.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":"24 1","pages":"92"},"PeriodicalIF":3.1000,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11762109/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Nursing","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12912-024-02658-6","RegionNum":2,"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

Abstract

Background: Artificial Intelligence (AI) is increasingly applied in healthcare to boost productivity, reduce administrative workloads, and improve patient outcomes. In nursing, AI offers both opportunities and challenges. This study explores nurses' perspectives on implementing AI in nursing practice within the context of Jordan, focusing on the perceived benefits and concerns related to its integration.

Method: A qualitative research approach was employed, involving semi-structured interviews with 25 nurses and 3 focus group discussions, each consisting of 7-8 participants. The data collected was coded and analyzed using thematic analysis to identify recurring patterns and key themes in the nurses' views on AI.

Results: Three major themes emerged from the analysis: (1) AI as an efficiency tool - Nurses recognized AI's ability to reduce administrative burdens and improve patient monitoring in real-time. (2) Ethical and practical concerns - Nurses raised issues regarding patient privacy, data security, and the fear that AI might replace human decision-making in care. (3) Lack of preparedness and training - There was a consensus on nurses' inadequate training in AI tools, limiting their ability to integrate AI into their practice fully.

Conclusion: While AI is seen as a valuable tool to enhance nursing productivity, several challenges still need to be addressed, particularly regarding ethical concerns and insufficient training. To ensure AI complements nursing without compromising the human element, healthcare institutions must address these issues by implementing comprehensive training programs and establishing clear ethical guidelines.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
BMC Nursing
BMC Nursing Nursing-General Nursing
CiteScore
3.90
自引率
6.20%
发文量
317
审稿时长
30 weeks
期刊介绍: BMC Nursing is an open access, peer-reviewed journal that considers articles on all aspects of nursing research, training, education and practice.
期刊最新文献
Factors influencing compassion satisfaction and compassion fatigue among nurses: a study in a tertiary hospital. Effectiveness of room-of-error interventions for healthcare providers: a systematic review. Investigating the status of the second victims of error and related factors in nurses: a description study. Multiple Sclerosis Nursing to Improve Care and Education (MSNICE): an observational study. Nursing professionalism and associated factors in Ethiopia: a systematic review and meta-analysis.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1