ArticleAdvances in medical education and practice2024
Knowledge, Attitude and Practice Toward Artificial Intelligence Among Healthcare Workers in Private Polyclinics in Jeddah, Saudi Arabia.
Article in Advances in medical education and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 42 citations in OpenAlex.
- 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
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- Knowledge, attitude, and awareness of artificial intelligence among medical staff in Kabul City.Annals of medicine and surgery (2012) · 2026Article
- Artificial intelligence integration and patient safety culture: a cross-sectional study of healthcare professionals in Riyadh, Saudi Arabia.BMC health services research · 2026Article
- Determinants of AI Adoption in Saudi Arabian Healthcare Institutions.Healthcare (Basel, Switzerland) · 2026Article
- Dual dimensions of artificial intelligence use among medical academia: related knowledge, attitudes and ethical concerns, a national survey, 2025.Scientific reports · 2026Article
- Artificial intelligence in nursing education: knowledge, perceptions, and associated factors among Egyptian nursing students across universities.BMC nursing · 2026Article
- Article
- Assessing the "Optimism-Knowledge Gap": An Exploratory Study of AI Awareness, Application, and Educational Needs Among a Sample of Italian Clinicians.Healthcare (Basel, Switzerland) · 2026Article
- Navigating the artificial intelligence-informed patient: a cross-sectional study of physicians' perceptions and clinical practices.Frontiers in public health · 2026Article
- Knowledge, attitudes, and practices of pharmacy students and graduates regarding artificial intelligence in healthcare: a multi-regional cross-sectional study predominantly from the Asir region of Saudi Arabia.Frontiers in public health · 2026Article
- Article
- Public attitudes and practices toward using AI chatbots for healthcare assistance: a multinational cross-sectional study.BMC health services research · 2025Article
- AI in Health Care Service Quality: Systematic Review.JMIR AI · 2025Review
- Knowledge, attitude and practice of artificial intelligence among dietitians in Saudi Arabia: a cross-sectional study.BMJ open · 2025Article
- The Correlation Between Attitudes Towards Health Technologies and Professional Self-Efficacy in Intensive Care Nurses: A Cross-Sectional Study.International nursing review · 2025Article
- Nurses perceptions and use of artificial intelligence in healthcare.Scientific reports · 2025Article
- Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Saudi Arabia.Journal of family medicine and primary care · 2025Article
- Ethical implications of artificial intelligence integration in nursing practice in arab countries: literature review.BMC nursing · 2025Article
- Perception and awareness of healthcare professionals toward the applications of artificial intelligence in Egyptian healthcare settings.Frontiers in artificial intelligence · 2025Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: The objective of our study was to assess awareness, attitudes, and practices regarding artificial intelligence (AI) among healthcare workers in private polyclinics in Jeddah, Saudi Arabia. Methods: We conducted cross-sectional study among healthcare workers in private clinics in Jeddah. Data was collected using a structured, validated questionnaire in Arabic and English on awareness, attitudes, and behaviors regarding AI. Cronbach's alpha for the questionnaire ranged from 0.6 to 0.8. Descriptive and bivariate analysis was done to assess the scores and their association of various sociodemographic variables with awareness, attitudes, and behaviors regarding AI. Multiple linear regression was performed to predict the scores of awareness, attitudes, and behaviors based on the sociodemographic variables. Results: We recruited 361 participants for this study. Approximately, 62% of the healthcare workers were female. The majority (36%) of healthcare workers were nurses, while 25% were physicians. The median awareness, attitude, and behavioral scores were 5/6 (IQR 3-6), 5/8 (IQR 4-7), and 0/3 (IQR 0), respectively. Approximately three-fourths (74%) of the healthcare workers believed that they understood the basic computational principles of AI. Only half of the participants were willing to use AI when making future medical decisions. We found that male healthcare workers had better knowledge scores regarding AI as compared to female healthcare workers (Beta = 0.555, 95%, p value = 0.010), while for attitude scores, being administrative employee as compared to other employees was found to have negative attitude towards AI (Beta = 0.049, 95%, p value = 0.03). Conclusion: We found that healthcare workers had an overall good awareness and optimistic attitude toward AI. Despite this, the majority is worried about the potential consequences of replacing their jobs with AI in the future. There is a dire need to educate and sensitize healthcare workers regarding the potential impact of AI on healthcare.
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