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

IF 3.1 2区 医学 Q1 NURSING
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":3.1000,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","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.

求助全文
约1分钟内获得全文 求助全文
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.
×
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