ArticleDigital health
A national survey on navigating new era in healthcare services in hospitals through artificial intelligence: Awareness and attitudinal trends among nurses.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Predictors of diabetes self-management and glycemic control among patients with diabetes mellitus in conflict-affected Palestine.BMC primary care · 2026Article
- Heterogeneity in nurses' attitudes toward artificial intelligence: a latent profile analysis.BMC health services research · 2026Article
- Determinants of quality of life in type 1 and type 2 diabetes patients in Palestine: a comparative cross-sectional study.BMC primary care · 2026Article
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Authors and funding
11 authors.
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Abstract
Objective: This nationwide study aimed to assess the attitudes and awareness of artificial intelligence (AI) among nurses in Palestine to develop targeted strategies to support nurses in adapting to AI innovations while ensuring high-quality, patient-centered care. Methods: The study was a nationwide quantitative, descriptive cross-sectional survey across Results: The findings showed that slightly more than half of the participants had adopted some form of AI technology (55.5%), with ChatGPT being the most widely used. Despite over half using AI tools, a majority reported limited awareness, underscoring a knowledge gap. Most nurses viewed AI positively, though a substantial portion remained skeptical, reflecting both openness to and hesitation toward its adoption in the profession. Conclusion: There is a need for targeted policies and education to enhance AI awareness and acceptance among nurses. The nursing education curriculum needs to be supplemented with courses on AI using case scenarios and incorporate simulation-based training. There should be increased funding for continuing education programs, and the organizational culture needs to be made supportive of these changes. Policies and education of AI, should emphasize ethical use, patient privacy, and accountability to build trust and reduce fear of AI replacing nurses.
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