ArticleSAGE open nursing
Insights Into Perceived Worries Regarding the Adoption of Artificial Intelligence Among Intensive Care Unit Nurses in the West Bank.
Article in SAGE open nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed.
- A concept analysis of artificial intelligence anxiety among nurses based on Walker and Avant's method.BMC nursing · 2026Article
- Impact of electronic health records on nursing workflow efficiency and predictive factors in Palestinian hospitals.PLOS digital health · 2026Article
- Health sciences students' attitudes toward artificial intelligence: predictors of ethical awareness, clinical decision-making, and public health perceptions-a cross-sectional study.BMC medical education · 2026Article
- AI literacy as a potential mediator between attitude and self-efficacy among PICU nurses: a cross-sectional study.Frontiers in public health · 2026Article
- Artificial Intelligence Perceptions and Readiness Among Clinical Nurses: A Latent Profile Analysis With Implications for Nursing Management.Journal of nursing management · 2026Article
- Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The integration of artificial intelligence (AI) into healthcare is advancing rapidly, yet little is known about how ICU nurses perceive this shift, particularly in low-resource settings. Objectives: This study aimed to examine ICU nurses' perceived concerns regarding AI adoption, focusing on awareness, prior experience, and levels of worry related to AI integration. Methods: A cross-sectional survey was conducted among 235 ICU nurses from nine hospitals in the West Bank. Data were collected using the Worries of Applying Artificial Intelligence in Healthcare Questionnaire (WAAI-HCQ). Descriptive statistics and regression analyses were performed using SPSS. Results: Nurses demonstrated moderate AI awareness (M = 2.6, SD = 0.5) and limited prior experience (mean = 2.3, SD = 0.5). The overall worry regarding AI was moderate (M = 3.2, SD = 0.9), with the greatest concerns centered on its impact on healthcare providers (M = 3.3, SD = 1.0) and the least on regulatory and ethical issues (M = 2.9, SD = 0.7). Regression analysis revealed that AI awareness significantly predicted higher worry levels (B = 2.007, Conclusions: While ICU nurses recognized the potential benefits of AI, concerns about job displacement, depersonalization of care, and workflow disruption were prevalent. These findings underscore the need for targeted AI education, practical training, and supportive policies that address ethical and workforce-related implications. Context-specific strategies are essential to enhance nurses' readiness and confidence in adopting AI technologies in critical care settings.
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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.