Artificial Intelligence Technologies Supporting Nurses' Clinical Decision‐Making: A Systematic Review
The findings underline the transformative role of AI in addressing pressing nursing challenges such as staffing shortages, workload management, and error reduction. By supporting clinical decision-making and workflow efficiency, AI can enhance patient safety, care quality, and nurses' capacity to focus on direct patient care. A stronger emphasis on research and implementation will help bridge usability and scalability gaps, ensuring sustainable integration of AI across diverse healthcare settings.
Authors
- Jonna Juntunen (ORCID: https://orcid.org/0000-0003-3195-8265)
- Pirjo Kaakinen
- Erika Jarva (ORCID: https://orcid.org/0000-0001-6860-4319)
- Anna‐Maria Tuomikoski (ORCID: https://orcid.org/0000-0001-9387-9058)
- Wilson Tam (ORCID: https://orcid.org/0000-0003-0641-3060)
- Kristina Mikkonen (ORCID: https://orcid.org/0000-0002-4355-3428)
- Brigitte Fong Yeong Woo (ORCID: https://orcid.org/0000-0003-2988-2169)
- Anne Oikarinen (ORCID: https://orcid.org/0000-0002-3509-8912)
- Miia Marika Jansson (ORCID: https://orcid.org/0000-0001-5815-0325)
- Wentao Zhou (ORCID: https://orcid.org/0000-0001-9806-2637)
- Saara Tuunainen
Institutions
- National University of Singapore (SG)
- Oulu University Hospital (FI)
- Northern Ostrobothnia Hospital District (FI)
- University of Oulu (FI)
Publication Details
- Journal
- Journal of Clinical Nursing
- Published
- 2025-11-25
- DOI
- https://doi.org/10.1111/jocn.70156
- Citations
- 4
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 2.62
Funders
- Oulun Yliopisto
- Opetushallitus