Ethical implications of artificial intelligence integration in nursing practice in arab countries: literature review.

IF 3.9 2区 医学 Q1 NURSING BMC Nursing Pub Date : 2025-02-11 DOI:10.1186/s12912-025-02798-3
Ateya Megahed Ibrahim, Mohamed Ali Zoromba, Ali D Abousoliman, Donia Elsaid Fathi Zaghamir, Ibrahim Naif Alenezi, Ebtesam A Elsayed, Heba Ali Hamed Mohamed
{"title":"Ethical implications of artificial intelligence integration in nursing practice in arab countries: literature review.","authors":"Ateya Megahed Ibrahim, Mohamed Ali Zoromba, Ali D Abousoliman, Donia Elsaid Fathi Zaghamir, Ibrahim Naif Alenezi, Ebtesam A Elsayed, Heba Ali Hamed Mohamed","doi":"10.1186/s12912-025-02798-3","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Applying artificial intelligence (AI) to nursing practice has dramatically enhanced healthcare delivery in Arab countries. However, AI application also raises complex moral issues, including patient privacy, data security, responsibility, transparency, and equity in decision-making.</p><p><strong>Aim: </strong>A systematic analysis of the ethical issues surrounding the application of AI in nursing practice in Arab nations is carried out in this review, highlighting the most important ethical issues and recommending responsible AI integration.</p><p><strong>Methods: </strong>A comprehensive literature search was conducted across major databases. Following the initial identification of 150 articles, 120 were selected for full-text review based on the title and abstract screening. Subsequently, 50 pertinent studies were incorporated into this review.</p><p><strong>Results: </strong>Numerous significant ethical concerns regarding AI application in decision-making processes were identified. The assessment also highlighted the possible effects of AI on the nurse-patient interaction and the critical role played by the ethics committees and regulatory frameworks in resolving these issues.</p><p><strong>Conclusion: </strong>Ethical frameworks must be established to guarantee AI integration into nursing practice, safeguard patients' welfare, and strengthen the trust between healthcare providers and patients.</p><p><strong>Clinical trial: </strong>No clinical Trial.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":"24 1","pages":"159"},"PeriodicalIF":3.9000,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11816802/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Nursing","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12912-025-02798-3","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: Applying artificial intelligence (AI) to nursing practice has dramatically enhanced healthcare delivery in Arab countries. However, AI application also raises complex moral issues, including patient privacy, data security, responsibility, transparency, and equity in decision-making.

Aim: A systematic analysis of the ethical issues surrounding the application of AI in nursing practice in Arab nations is carried out in this review, highlighting the most important ethical issues and recommending responsible AI integration.

Methods: A comprehensive literature search was conducted across major databases. Following the initial identification of 150 articles, 120 were selected for full-text review based on the title and abstract screening. Subsequently, 50 pertinent studies were incorporated into this review.

Results: Numerous significant ethical concerns regarding AI application in decision-making processes were identified. The assessment also highlighted the possible effects of AI on the nurse-patient interaction and the critical role played by the ethics committees and regulatory frameworks in resolving these issues.

Conclusion: Ethical frameworks must be established to guarantee AI integration into nursing practice, safeguard patients' welfare, and strengthen the trust between healthcare providers and patients.

Clinical trial: No clinical Trial.

Abstract Image

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
阿拉伯国家护理实践中人工智能整合的伦理含义:文献综述。
背景:将人工智能(AI)应用于护理实践大大提高了阿拉伯国家的医疗保健服务。然而,人工智能的应用也引发了复杂的道德问题,包括患者隐私、数据安全、责任、透明度和决策公平性。目的:本综述系统分析了围绕人工智能在阿拉伯国家护理实践中应用的伦理问题,突出了最重要的伦理问题,并建议负责任的人工智能整合。方法:对主要数据库进行全面的文献检索。在初步确定150篇文章后,根据标题和摘要筛选,选择120篇文章进行全文审查。随后,50项相关研究被纳入本综述。结果:确定了人工智能在决策过程中应用的许多重大伦理问题。评估还强调了人工智能对护患互动的可能影响,以及伦理委员会和监管框架在解决这些问题方面发挥的关键作用。结论:必须建立伦理框架,保障人工智能融入护理实践,维护患者福祉,增强医护人员与患者之间的信任。临床试验:无临床试验。
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 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
Interventions to improve mental health in caregivers of adult intensive care patients: a systematic review. Understanding nursing handoff errors in clinical practice: trends and contributing factors based on a systematic review and meta-analysis. Nurses' perceptions of decent work: a scoping review. Assessment of clinical handover among ICU nurses based on the structured ISBAR model (2025). In the effect of the game taboo® on nursing students' motivation and perception levels of nursing diagnoses: a cluster randomized controlled trial.
×
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:604180095
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