ArticleDigital health
Artificial intelligence in health care: Assessing impact on professional roles and preparedness among hospital nurse leaders.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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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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
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence in nursing: a systematic review of attitudes, literacy, readiness, and adoption intentions among nursing students and practicing nurses.Frontiers in digital health · 2025Pooled it
- Artificial intelligence self-efficacy and attitudes among nursing students: a multicenter network analysis of educational stratification.BMC medical education · 2026Article
- Insights Into Factors Affecting Nurses' Knowledge of and Attitudes Toward AI and Implications for Successful AI Integration in Critical Care: Cross-Sectional Study.JMIR nursing · 2026Article
- Hearing health professionals' attitudes and perceived skills toward artificial intelligence.BMC medical education · 2026Article
- Hospital Digital Transformation, Nursing Data Burden, and Leadership and Governance Capacity: A Critical Narrative Review.Journal of nursing management · 2026Review
- Artificial intelligence readiness and its relationship with thriving at work among Chinese nurses: a latent profile analysis.Frontiers in public health · 2026Article
- Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Artificial intelligence (AI) is transforming healthcare, with benefits such as personalized treatment and efficient diagnosis; however, it also comes with challenges such as data protection and ethical concerns. Aim: This study examined nurse leaders' perceptions of AI's impact on their professional roles and their level of preparedness for AI integration. Methods: This descriptive correlational study was conducted at various hospitals in Hail City, Saudi Arabia. The Shinners Artificial Intelligence Perception tool was used to evaluate 155 nurse leaders' perceptions of AI and their readiness for its adoption. Results: The SHAIP tool, previously validated in international studies, was further adapted and validated for this context using confirmatory factor analysis and reliability testing, ensuring robust measurement of nurse leaders' perceptions and preparedness regarding AI. Nurse leaders showed a positive perception of AI's impact on their roles (mean score = 3.72), but lower perceived preparedness (mean score = 3.32). Education level (where holders of a Bachelor of Science in Nursing showed lower perceptions, with a coefficient of -0.66, Conclusion: Although nurse leaders recognize AI's potential in healthcare, there is a gap between their perceptions and preparedness. Tailored education and training programs are required to enhance the integration of AI into nursing leadership and practice.
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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.