Kumar Rakesh, Singh Ajay, Kassar Ahmed Subahi Ahmed, Humaida Mohammed Ismail, Joshi Sudhanshu, Sharma Manu
Department of Health Management, College of Public Health and Health Informatics, University of Ha'il, Ha'il, Saudi Arabia.
Department of Management and Information Systems, College of Business Administration, University of Ha'il, Ha'il, Saudi Arabia.
Front Public Health. 2025 Apr 30;13:1558772. doi: 10.3389/fpubh.2025.1558772. eCollection 2025.
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.
近年来,人工智能(AI)正在改变全球医疗系统,并提高了其服务效率。沙特阿拉伯等国家在其公共医疗领域面临着独特的采用挑战,这些挑战与人工智能素养、对人工智能技术的理解和有效使用有关。此外,文化、监管和运营障碍增加了将人工智能素养融入公共医疗运营的复杂性。尽管人工智能在促进可持续医疗发展方面做出了关键贡献,但针对这些采用挑战的研究却很有限。我们的研究探讨了沙特阿拉伯公共医疗部门背景下人工智能素养的采用障碍,重点关注其与推进医疗运营和实现可持续发展目标(SDGs)的相关性。该研究旨在识别和解决沙特阿拉伯公共医疗领域人工智能素养的采用挑战。该研究旨在增进对人工智能素养的理解、其对改善医疗运营的必要性,以及阻碍其在沙特阿拉伯公共医疗生态系统中成功采用人工智能的具体障碍。该研究采用定性分析方法,使用T-O-E框架来探讨人工智能素养的采用挑战。此外,还应用了最佳-最差方法(BWM)来评估沙特阿拉伯公共医疗供应链内各个运营层面的人工智能素养采用挑战。该研究揭示了在运营、战术和战略层面存在的重大采用挑战,包括机构准备情况、数据隐私以及对监管框架的遵守情况。这些挑战使沙特公共医疗供应链中人工智能素养的采用变得复杂。该研究为影响沙特阿拉伯公共医疗部门人工智能素养推广的各种问题提供了关键见解。这项基于证据的研究为医疗专业人员和政策制定者提供了重要建议,以有效应对已识别的挑战,培育有利于人工智能素养整合的环境,并推进可持续医疗发展目标。