ArticleBMC nursing2026
Research on artificial intelligence literacy among nursing professionals: a scoping review.
Article in BMC nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundArtificial Intelligence (AI) applications are increasingly integrated into nursing practice. As key stakeholders, nursing professionals must possess adequate AI literacy. To address this need, a scoping review was conducted to systematically map and synthesize evidence regarding the core dimensions, assessment tools, and influencing factors of AI literacy in nursing.
methodsFollowing the Arksey and O’Malley framework, a scoping review was conducted by systematically searching seven literature databases, including PubMed, CINAHL Complete, Cochrane Library, Web of Science, IEEE Xplore, CNKI, Google Scholar, for literature published from January 2005 to 31 August 2025. The included studies were analyzed using a combination of descriptive analysis and thematic synthesis.
resultsA total of 39 English-language studies were included. AI literacy among nursing professionals was conceptualized as a multidimensional construct encompassing eight core dimensions: foundational knowledge, technical cognition, application skill, perceived utility, technology readiness, ethics awareness, critical thinking, and innovation. Most current assessment tools are general-purpose and lack nursing-specific contextualization, although several scales tailored to nursing professionals have been developed recently. Key influencing factors include AI-related education and training, perceived utility, gender, and age. Educational interventions have been shown to be effective in improving AI literacy.
conclusionsAI literacy among nursing professionals constitutes a multidimensional competency framework. Current assessment tools and educational strategies require further optimization. Future efforts should focus on developing highly specialized and culturally adaptable assessment instruments, establishing a stratified and tiered educational system, and rigorously evaluating the effectiveness of these interventions through empirical research to foster the sustainable integration of AI into nursing.
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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.