ArticleNursing & health sciences2026
Nurses' and Nursing Students' Experiences With Generative Artificial Intelligence in Educational and Clinical Settings: 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. Not yet cited in PubMed.
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.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This scoping review follows the Arksey and O'Malley five-stage framework: (1) identifying research questions, (2) identifying relevant studies, (3) selecting studies, (4) extracting, mapping, and charting data, and (5) collating, summarizing, and reporting findings. The review seeks to identify the extent and type of literature and gain insights into nurses' and nursing students' experiences with using Generative Artificial Intelligence (GenAI). A comprehensive search was conducted across five databases. The search was limited to studies published between January 2020 and July 2025. The systematic screening process identified 20 papers for inclusion in this review. Nurses' experiences with GenAI were mainly positive, while nursing students had mixed perceptions, though mostly positive. Thematic analysis revealed that various factors underpinning their attitudinal, normative, and control beliefs are critical determinants of nurses' and students' overall experiences with GenAI and their intentions to use GenAI technologies. An overarching analysis using the theory of planned behavior mapped these factors and experiences, yielding predictions of behavioral intentions and actions regarding GenAI use. Nurse leaders are vital in shaping institutional policies and ethical guidelines to encourage responsible use of GenAI.
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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.