From Substitution to Redefinition: The SAMR Model as a Framework for AI Adoption in Nursing

Background: AI is transforming nursing through predictive analytics and simulations, enhancing learning and care. Challenges include ethics, technical issues, and institutional resistance. Aim: This study explores how AI strengthens nursing education and clinical workflows, utilizing the SAMR Model. Method: A systematic integrative review (2018–2024) used CINAHL, Ovid Medline, and PubMed with PRISMA guidelines.Results: AI boosts learning via simulations and adaptive tools; clinically, it aids diagnosis and monitoring. SAMR shows AI’s shift from basic tools to intelligent systems, though barriers like privacy and cost remain. Conclusion: AI aligns with healthcare goals like Saudi Vision 2030; success requires ethics, partnerships, and training