ArticleBMC nursing2025
Artificial intelligence-assisted nursing care: a concept analysis using Walker and Avant approach.
Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 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
4 citing papers in PubMed.
- The Evolution of Patient-Centered Nursing Care: From Passive Recipients to Active Partners in the Era of Generative AI.The journal of nursing research : JNR · 2026Article
- Review
- Review
- Correction: Artificial intelligence-assisted nursing care: a concept analysis using Walker and Avant approach.BMC nursing · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial Intelligence (AI) is increasingly integrated into healthcare, offering transformative potential for nursing practice by enhancing efficiency, accuracy, and patient outcomes. Despite growing interest, the concept of AI-assisted nursing care lacks clear consensus, hindering its clinical operationalization. This study aims to clarify this concept through a concept analysis to inform future research and practice.
methodsThe Walker and Avant concept analysis method was utilized to examine ‘AI-assisted nursing care.’ A literature review was conducted across databases including PubMed, Scopus, ScienceDirect, and Embase, with no temporal limits, yielding 20 relevant records for analysis. The process identified the concept’s uses, attributes, antecedents, consequences, and empirical referents.
resultsFive defining attributes of AI-assisted nursing care emerged: data-driven decision support, automation of routine tasks, enhanced predictive capabilities, personalization of care, and continuous learning and adaptability. Antecedents included availability of advanced technology, integration into healthcare systems, nursing competence and acceptance, patient data availability, and ethical and regulatory frameworks. Consequences encompassed improved patient outcomes, increased nursing efficiency, enhanced nurses’ satisfaction, potential cost savings, and ethical and social challenges. Model, borderline, and contrary cases further illustrated the concept’s application.
conclusionAI-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.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.