ArticleBMC health services research2025
Solicitude toward artificial intelligence among health care providers and its relation to their patient's safety culture in Saudi Arabia.
Article in BMC health services research, 2025. 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.
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
6 citing papers in PubMed.
- The role of digital literacy and ethical awareness in nurses' acceptance of Artificial Intelligence: a cross-sectional questionnaire survey.International journal of nursing studies advances · 2026Article
- The Design-Driven Innovation Path of Human-Centered Artificial Intelligence in the Field of Healthcare: Theory, Practice, and Future Prospects.Healthcare (Basel, Switzerland) · 2026Review
- Determinants of AI Adoption in Saudi Arabian Healthcare Institutions.Healthcare (Basel, Switzerland) · 2026Article
- Perceived Barriers, Supportive-Care Integration, and Readiness for AI Integration in Oncology Practice: A Cross-Sectional Survey of Cancer Care Providers in Saudi Arabia.Journal of multidisciplinary healthcare · 2026Article
- Public Knowledge and Acceptance of Artificial Intelligence-Assisted Physicians in Saudi Arabia: A Cross-Sectional Study.International journal of general medicine · 2026Article
- Exploring Medical Doctors' Confidence in Artificial Intelligence: The Role of Specialty, Experience, and Perceived Job Security.Healthcare (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundThe healthcare sector is undergoing a digital transformation, where the integration of Artificial Intelligence (AI) plays a vital role in reshaping healthcare practices. AI technologies promise to improve work procedures, mitigate future risks, and expedite proactive patient care. This guide seeks to address the significant knowledge gap among healthcare professionals, focusing on AI's integration within healthcare systems and its impact on patient safety culture.
methodsA descriptive correlational design was implemented to explore the correlations between healthcare providers' knowledge and attitudes toward artificial intelligence (AI) and their perception of patient safety culture. A non-probability, convenient sample of 238 healthcare providers comprising physicians, nurses, and technicians working at Najran University Hospital was included in the study. Data collection was conducted using two self-reported questionnaires: the Structured Knowledge and Attitude Questionnaire on Artificial Intelligence and the Hospital Survey on Patient Safety Culture (HSOPSC).
resultsThe research findings indicated that the healthcare providers' knowledge and attitude toward AI are significant predictors of patient safety culture, with a combined explanatory power of 60% (R
conclusionsThis study's findings emphasize the need to enhance healthcare providers' knowledge and attitudes toward AI to reinforce a culture of patient safety. Healthcare institutions are encouraged to incorporate AI-centered education and training programs to enhance providers' comprehension and confidence in leveraging AI for safer clinical 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.