ArticleNursing & health sciences2026
Contributions of Artificial Intelligence to Decision Making in Nursing: A Scoping Review.
Article in Nursing & health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Whose Knowledge Counts in Labour? Obstetric Nurses Negotiating Clinical Judgement, Algorithmic Authority and Woman-Centred Care in Artificial Intelligence-Enhanced Foetal Monitoring.Nursing inquiry · 2026Article
- Artificial Intelligence (AI) in Home-Care and Community Nursing: A Scoping Review.Healthcare (Basel, Switzerland) · 2026Review
- Nurses' and Nursing Students' Experiences With Generative Artificial Intelligence in Educational and Clinical Settings: A Scoping Review.Nursing & health sciences · 2026Article
- AI Use, Perceptions, and Perceived Impact Among Nursing Students: Cross-Sectional Study.JMIR nursing · 2026Article
- Artificial intelligence in nursing practice for older adults with dementia: A narrative review informed by bibliometric mapping and implications for nurse-led research.Journal of Korean gerontological nursing · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recognizing the complexity of decision-making is essential in nursing practice, where Artificial Intelligence (AI) can serve as a valuable tool to support nurses in the process of decision-making. This scoping review aims to map and systematize evidence regarding 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; Cochrane Databases; 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 accuracy and workflows. However, interpretability remains a limiting factor that affects the adoption of AI. Although critical healthcare units represent the primary areas of application, meeting the ethical, legal, and technical requirements necessary for effective integration into practice continues to be a challenge. AI offers meaningful contributions to nursing decision-making, particularly through explainable and clinically aligned systems. However, successful integration demands transparency, ethics, and usability, with further studies to ensure safe adoption.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.