Impact of artificial intelligence on empowering the future of nursing professionalism, educational and clinical advancements: an umbrella review on AI-driven transformation

Mohammed Umar; Karthika S.; B. Kalyani; Lakshmi Priyadharshini V. R.; Divya Upreti; Pooja Saini; Reshma Tamang; Paramasivam Asari Geetha

doi:10.18203/2349-3259.ijct20260052

Authors

Mohammed Umar Department of Nursing, Uttar Pradesh University of Medical Sciences, Saifai, Etawah, Uttar Pradesh, India
Karthika S. Department of Community Health Nursing, Parul Institute of Nursing and Research, Faculty of Nursing, Parul University, Vadodara, Gujarat, India
B. Kalyani Department of Obstetrics and Gynaecology, Dr. C. Sobhanadri Siddhartha School of Nursing, Chinnoutpalli, Gannavaram, Vijayawada, Andhra Pradesh, India
Lakshmi Priyadharshini V. R. Department of Mental Health Nursing, College POF scholar, Datta Maghe Institute of Higher Education, Maharashtra, India
Divya Upreti Department of Medical Surgical Nursing, Sharda School of Nursing Science and Research, Sharda University, Greater Noida, Uttar Pradesh, India
Pooja Saini Dehradun, Uttarakhand, India
Reshma Tamang Department of Medical Surgical Nursing, Pragati Nursing, College and Nursing School, Siliguri, West Bengal, India
Paramasivam Asari Geetha Department of Medical Surgical Nursing, Chettinad Academy of Research and Education, Kelampakkam, Chennai, Tamil Nadu, India

DOI:

https://doi.org/10.18203/2349-3259.ijct20260052

Keywords:

Artificial Intelligence, Nursing professionalism, Clinical advancement, Nursing education, Digital health, Healthcare transformation

Abstract

Artificial Intelligence (AI) is rapidly transforming healthcare by augmenting clinical decision-making, streamlining workflows, and personalizing education and patient care. Nursing, as the largest healthcare workforce, stands at the forefront of this transformation. This review examines how AI-driven tools empower nursing professionalism, enhance educational models, and optimize clinical practice. A systematic umbrella concept analysis was conducted using PubMed, Scopus, CINAHL, and Web of Science databases. Literature published between 2010 and 2025 was reviewed. Eligible studies included original research, reviews, policy reports, and frameworks focusing on AI applications in nursing education, practice, and professional development. Data were synthesized thematically under three domains: professional identity, educational innovation, and clinical advancement. Sixty-five studies met inclusion criteria. Evidence suggests that AI supports professional autonomy through clinical decision support systems, predictive analytics, and digital documentation, reducing administrative burdens. In education, AI-enabled simulations, adaptive learning platforms, and virtual mentors enhance critical thinking and competency development. Clinically, AI improves patient monitoring, diagnostic accuracy, and personalized care delivery. However, ethical dilemmas, data privacy risks, and limited digital literacy remain significant barriers. AI offers transformative potential for strengthening nursing professionalism, integrating evidence-based education, and advancing patient-centered clinical practice. To harness these opportunities, investment in nurse-centered AI training, interdisciplinary collaboration, and policy frameworks is essential. Nursing must embrace AI as a partner technology to redefine future roles and leadership in digital healthcare ecosystems.

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