Journal article
Contributions of Artificial Intelligence to Decision Making in Nursing: A Scoping Review
Nursing & health sciences, Vol.28(1), pp.1-25
03/2026
PMID: 41709566
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Abstract
Recognizing the complexity of decision-making is essential in nursing practice, where Artificial Intelligence (AI) can serve asa valuable tool to support nurses in the process of decision-making. This scoping review aims to map and systematize evidenceregarding AI's contributions to nursing decision-making, following the Joanna Briggs Institute (JBI) methodological approach.Databases consulted: CINAHL Complete; MEDLINE Complete; Nursing & Allied Health Collection: Comprehensive; CochraneDatabases; MedicLatina; SciELO; Scopus; LILACS; JBI Database of Systematic Reviews and RCAAP. Thirteen studies in English,Portuguese, and Spanish were included. AI can support the nursing decision-making process by improving diagnostic accuracyand workflows. However, interpretability remains a limiting factor that affects the adoption of AI. Although critical healthcareunits represent the primary areas of application, meeting the ethical, legal, and technical requirements necessary for effectiveintegration into practice continues to be a challenge. AI offers meaningful contributions to nursing decision-making, particularlythrough explainable and clinically aligned systems. However, successful integration demands transparency, ethics, and usability,with further studies to ensure safe adoption.
Details
- Title
- Contributions of Artificial Intelligence to Decision Making in Nursing: A Scoping Review
- Creators
- Filipe Fernandes - Catholic University of Portugal (Portugal)Lucy Shinners - Southern Cross UniversityMauro Mota - Polytechnic Institute of ViseuPaulo Santos - Center for Interdisciplinary Health Research (Portugal)Sa Luis - Catholic University of Portugal (Portugal)
- Publication Details
- Nursing & health sciences, Vol.28(1), pp.1-25
- Publisher
- Wiley
- Grant note
- Open access publication funding provided by FCT (b- on).
- Identifiers
- 991013372617802368
- Copyright
- © 2026 The Author(s).
- Academic Unit
- Nursing
- Language
- English
- Resource Type
- Journal article