Navigating the Integration of Artificial Intelligence in Nursing: Challenges, Perceptions, and Pathways in Saudi Arabia: A Literature Review

Abstract

BACKGROUND: Artificial intelligence (AI) integration into healthcare domains is still in its early stages, owing to well-defined ethical and safety concerns about the potential endangerment of human lives. AIM: The review aims to identify key challenges, analyze nurses’ attitudes and perceptions of AI, investigate knowledge gaps and areas for improvement in AI integration, examine the benefits and limitations of AI applications in nursing, and make recommendations to improve AI adoption in nursing practice. METHODS: In May 2024, a literature search was conducted utilizing online resources such as PubMed, Google Scholar, and the Cochrane Library to uncover studies on the use of AI in Nursing in the Kingdom of Saudi Arabia. A comprehensive search of internet databases from 2020 to 2024 yielded six relevant studies to be reviewed in the current study. RESULTS: The findings show various levels of preparation and acceptance of AI among Saudi nurses, underlining the importance of educational and training initiatives to bridge knowledge gaps and address concerns about career displacement and dehumanization of care. Collaboration among stakeholders is critical to AI’s ethical integration into nursing practice. RECOMMENDATIONS: Further research is needed to broaden the scope of the study and investigate a broader range of approaches to gain a more comprehensive understanding of the use of AI in nursing practice. CONCLUSION: The research underlines the significance of a complete approach to implementing AI in nursing to improve patient care outcomes and stimulate innovation in the Saudi healthcare system.

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