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

Sakna Habobi¹, Amani Abualrahi^2, , Roqaia Bumarah³, Shereen AlMatter⁴, Shaima’a Al-Sanona⁵, Zainab Alabdrabalnabi⁶, Farha Al-Khwaildi⁷, Maryam Alalaq⁸, Izdehar Alawami⁹ and Aqeelah Alyossuf¹⁰

¹Director of Nursing, Central Division, Safwa, Saudi Ministry of Health, Saudi Arabia

²Nursing Department, Eastern Health Cluster, Saudi Ministry of Health, Saudi Arabia

³Clinical Nurse Educator, Saudi Ministry of Health, Ras-Tanura Hospital, Saudi Arabia

⁴Professional Development coordinator, Saudi Ministry of Health, Safwa, Saudi Arabia

⁵Nursing Manager of Professional Development, Central Division, Safwa General Hospital, Saudi Arabia.

⁶Nurse Education Coordinator, Saudi Ministry of Health, Safwa Hospital, Saudi Arabia

⁷Nursing Supervisor, Saudi Ministry of Health, Um-Alsahik, Saudi Arabia

⁸Nursing Department, Saudi Ministry of Health, Central Division, Saudi Arabia

⁹Nursing Department, CNE, Khobar Health Network, Saudi Ministry of Health, Saudi Arabia10Nursing Department, Saudi Ministry of Health, Central Division, Saudi Arabia

¹⁰9Nursing Department, CNE, Khobar Health Network, Saudi Ministry of Health, Saudi Arabia10Nursing Department, Saudi Ministry of Health, Central Division, Saudi Arabia

Cite this paper:
Sakna Habobi, Amani Abualrahi, Roqaia Bumarah, Shereen AlMatter, Shaima’a Al-Sanona, Zainab Alabdrabalnabi, Farha Al-Khwaildi, Maryam Alalaq, Izdehar Alawami and Aqeelah Alyossuf. From Substitution to Redefinition: The SAMR Model as a Framework for AI Adoption in Nursing. American Journal of Nursing Research. 2025; 13(2):44-50. doi: 10.12691/ajnr-13-2-5

Abstract

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

Keywords:
Artificial Intelligence Nursing Education Clinical Practice SAMR Model Healthcare

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