5th Edition of World Nursing Research Conference 2026

Abstract

Purpose: The assessment focused on AI adoption in nursing practice across Saudi Arabia by studying how nurses view the technology, their preparation levels, and the boundaries and promotion elements they adopt. The research examines the dual inquiry, which consists of AI adoption patterns among Saudi nursing professionals and the elements affecting this process.

Methods: Peer-reviewed publications from 2016 up to 2025 that examine AI nursing practice within Saudi Arabia formed the inclusion criteria of this study. Research articles had to fulfill these exclusion criteria: non-English publication, non-relevant relationships with nursing or AI, or any study lacking a Saudi Arabian context. The research literature was obtained from Google Scholar and PubMed, as the final search was carried out in April 2025. The search process initially yielded 198 articles, whereas 15 publications met the established eligibility criteria. A critical risk assessment process was conducted on the studies using Joanna Briggs Institute (JBI) critical appraisal tools. 

Results: Researcher included 15 studies gathered from major databases. Analyses within the studies took different forms, using cross-sectional surveys, qualitative interviews, and mixed-methods approaches. Four major themes emerged: Nurses show generally positive attitudes and acceptance toward AI implementation in healthcare practice. Staff members face various obstacles because of insufficient AI training, worry about losing their jobs, and have ethical issues with AI technology. Nursing professionals are interested in AI education despite missing formal programs related to AI technologies. The research team did not perform a meta-analysis because the studies included various structural designs and assessment metrics. All research analyzed in this review demonstrated that AI can improve nursing practice if nurses receive proper implementation backing. 

Conclusion: The review reveals that Saudi Arabian nurses generally embrace AI adoption, yet they face substantial obstacles because of inadequate training programs, doubtful ethical frameworks, and insufficient infrastructure support. To successfully integrate AI into nursing practice, Saudi Arabia should develop strategic efforts combining curriculum development and ethical policymaking with capacity-building activities that support Vision 2030 digital health transformation goals.

Key Words: Artificial Intelligence, patient monitoring, efficiency of nurses, Saudi Arabia healthcare