@article{ajnr20251325,
author={{Habobi, Sakna and Abualrahi, Amani and Bumarah, Roqaia and AlMatter, Shereen and Al-Sanona, Shaima¡¯a and Alabdrabalnabi, Zainab and Al-Khwaildi, Farha and Alalaq, Maryam and Alawami, Izdehar and Alyossuf, Aqeelah},
title={From Substitution to Redefinition: The SAMR Model as a Framework for AI Adoption in Nursing},
journal={American Journal of Nursing Research},
volume={13},
number={2},
pages={44--50},
year={2025},
url={https://pubs.sciepub.com/ajnr/13/2/5},
issn={2378-5586},
abstract={<b>Background:</b> AI is transforming nursing through predictive analytics and simulations, enhancing learning and care. Challenges include ethics, technical issues, and institutional resistance. <b>Aim:</b><b> </b>This study explores how AI strengthens nursing education and clinical workflows, utilizing the SAMR Model. <b>Method:</b><b> </b>A systematic integrative review (2018¨C2024) 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. <b>Conclusion:</b><b> </b>AI aligns with healthcare goals like Saudi Vision 2030; success requires ethics, partnerships, and training},
doi={10.12691/ajnr-13-2-5}
publisher={Science and Education Publishing}
}