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

Ateya Megahed Ibrahim, Mohamed Ali Zoromba, Ali D. Abousoliman, Donia Elsaid Fathi Zaghamir, Ibrahim Naif Alenezi, Ebtesam A. Elsayed, Heba Ali Hamed Mohamed

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

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.

Original languageEnglish
Article number159
JournalBMC Nursing
Volume24
Issue number1
DOIs
StatePublished - Dec 2025

Keywords

  • Arab countries
  • Artificial Intelligence
  • Data security
  • Ethical considerations
  • Nursing
  • Patient privacy

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