ReviewInternational journal of nursing sciences2025
Large language model-driven agents in nursing practice: A scoping review.
Review in International journal of nursing sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Mapping the radiotherapy journey of patients with head and neck cancer: A qualitative study.Asia-Pacific journal of oncology nursing · 2026Article
- Value Co-Creation Between Nurses and Generative Artificial Intelligence: A Grounded Theory Study.Journal of nursing management · 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: This review aimed to systematically analyze the technological frameworks, application scenarios, and outcomes of large language model-driven agents (LLMDAs) in nursing practice, and to summarize ethical, technological, and practical challenges, guiding future research and clinical implementation. Methods: This scoping review was conducted following the JBI guidelines. Five databases (PubMed, Embase, Web of Science, APA PsycNet, Cochrane Library) were systematically searched for peer-reviewed English-language studies from inception until September 9, 2025. Eligible studies were screened by title and abstract, with full-text assessments conducted independently by two reviewers. Results: Twenty-five studies published between 2023 and 2025 were included, involving nine countries, primarily China ( Conclusions: LLMDAs offer a novel paradigm for intelligent transformation in nursing care through integrative technological frameworks. They demonstrate considerable potential in enhancing clinical decision-making accuracy, efficiency of care delivery, and patient satisfaction. Addressing existing ethical, technical, and practical challenges is essential for facilitating broader clinical adoption.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.