Artificial intelligence-assisted nursing care: a concept analysis using Walker and Avant approach
AI-assisted nursing care holds significant promise for revolutionizing clinical practice by improving care quality and nursing workflows. However, its implementation demands addressing technological, ethical, and systemic challenges. Future research should prioritize empirical validation of these findings and promote equitable access to AI technologies across diverse healthcare settings to fully realize its potential.
Authors
- Amir Faravan (ORCID: https://orcid.org/0000-0002-5211-4742)
- Mina Hoseinzadeh
- Shahla Shahbazi (ORCID: https://orcid.org/0000-0002-4146-9425)
- Mansour Ghafourifard (ORCID: https://orcid.org/0000-0002-3771-5152)
- Hamed Gholizad Gougjehyaran (ORCID: https://orcid.org/0000-0001-8385-0155)
- Reza Nematollahi Maleki (ORCID: https://orcid.org/0009-0005-6636-9112)
Institutions
- Tabriz University of Medical Sciences (IR)
Publication Details
- Journal
- BMC Nursing
- Published
- 2025-09-24
- DOI
- https://doi.org/10.1186/s12912-025-03818-y
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.31
Funders
- Tabriz University of Medical Sciences
- University of Tabriz
- Student Research Committee, Tabriz University of Medical Sciences