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In recent years, Artificial Intelligence (AI) is transforming healthcare systems globally and improved the efficiency of its delivery. Countries like Saudi Arabia are facing unique adoption challenges in their public healthcare, these challenges are specific to AI literacy, understanding and effective usage of AI technologies. In addition, cultural, regulatory and operational barriers increase the complication of integrating AI literacy into public healthcare operations. In spite of its critical contribution in enabling sustainable healthcare development, limited studies have addressed these adoption challenges. Our study explores the AI literacy adoption barriers in context to Saudi Arabian public healthcare sector, focusing on its relevance for advancing healthcare operations and achieving Sustainable Development Goals (SDGs). The research aims to identifying and addressing the adoption challenges of Artificial Intelligence literacy within the public healthcare in Saudi Arabia. The research aims to enhance the understanding of AI literacy, its necessity for enhancing healthcare operations, and the specific hurdles that impede its successful AI adoption in Saudi Arabia's public healthcare ecosystem. The research employs a qualitative analysis using the T-O-E framework to explore the adoption challenges of AI literacy. Additionally, the Best-Worse Method (BWM) is applied to evaluate the adoption challenges to AI literacy adoption across various operational levels within Saudi Arabia's public healthcare supply chain. The study uncovers substantial adoption challenges at operational, tactical, and strategic level, including institutional readiness, data privacy, and compliance with regulatory frameworks. These challenges complicate the adoption of AI literacy in the Saudi public healthcare supply chains. The research offers critical insights into the various issues affecting the promotion of AI literacy in Saudi Arabia's public healthcare sector. This evidence-based study provides essential commendations for healthcare professionals and policymakers to effectively address the identified challenges, nurturing an environment beneficial to the integration of AI literacy and advancing the goals of sustainable healthcare development.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12076014 | PMC |
http://dx.doi.org/10.3389/fpubh.2025.1558772 | DOI Listing |
Soc Work Public Health
September 2025
Department of Healthcare Management, Çankırı Karatekin University, Çankırı, Türkiye.
This study investigates socioeconomic disparities in chronic respiratory diseases and the factors contributing to these inequalities, using data from the 2019 Turkish Health Survey. Multivariate logistic regression and Oaxaca-Blinder decomposition analyses reveal that 13.10% of adults aged 25 and older in Turkey suffer from chronic respiratory diseases, with a significantly higher prevalence among lower socioeconomic status (SES) individuals.
View Article and Find Full Text PDFJ Behav Med
September 2025
Center for Indigenous Health, Johns Hopkins University, Duluth, MN, USA.
Indigenous Peoples experience the highest age-adjusted prevalence of type 2 diabetes of any racial group in the U.S. Though the management of type 2 diabetes requires regular healthcare visits, North American Indigenous individuals with diabetes do not always utilize the healthcare available to them, and this lack of utilization may lead to poor health outcomes over time.
View Article and Find Full Text PDFAnn Biomed Eng
September 2025
Department of Midwifery, Faculty of Health Sciences, Sakarya University, 54100, Sakarya, Turkey.
The incorporation of AI-supported language models into the healthcare sector holds significant potential to revolutionize nursing education, research, and clinical practice. Within this framework, ChatGPT has emerged as a valuable tool for personalizing educational materials, enhancing academic productivity, expediting clinical decision-making processes, and optimizing research efficiency. In the realm of nursing education, ChatGPT offers numerous advantages, including the preparation of course content, facilitation of student assessments, and the development of simulation-based learning environments.
View Article and Find Full Text PDFJ Epidemiol Glob Health
September 2025
Center for Communicable Diseases Control (CDC), Ministry of Health and Medical Education, Tehran, Iran.
Background: Healthcare-associated infections (HCAIs) pose a serious threat to healthcare systems. Accurately determining the incidence of HCAIs is crucial for planning and implementing efficient interventions, as they are associated with a wide range of challenges. The objective of this study was to assess and update the incidence rates of HCAIs in Iran in 2023, using data from the Iranian Nosocomial Infection Surveillance (INIS) system, a nationwide hospital-based surveillance program.
View Article and Find Full Text PDFCNS Drugs
September 2025
Global Health Neurology Lab, Sydney, NSW, 2150, Australia.
Acute ischemic stroke (AIS) remains a leading cause of mortality and long-term disability globally, with survivors at high risk of recurrent stroke, cardiovascular events, and post-stroke dementia. Statins, while widely used for their lipid-lowering effects, also possess pleiotropic properties, including anti-inflammatory, endothelial-stabilizing, and neuroprotective actions, which may offer added benefit in AIS management. This article synthesizes emerging evidence on statins' dual mechanisms of action and evaluates their role in reducing recurrence, improving survival, and mitigating cognitive decline.
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