JMIR Publications

ABSTRACT

Background:

: Artificial intelligence is a rapidly evolving technology with the potential to revolutionize the healthcare industry. In Saudi Arabia, the healthcare sector has adopted AI technologies over the past decade to enhance service efficiency and quality, aligning with Vision 2030's technological thrust.

Objective:

This review aims to systematically examine Artificial intelligence's impact on healthcare quality in Saudi Arabia hospitals

Methods:

: A meticulous and comprehensive systematic literature review was undertaken to identify studies investigating AI's impact on healthcare in Saudi Arabia by collecting several articles from selected databases , PubMed, Google Scholar, and Saudi Digital Library databases. The search terms used were "Artificial Intelligence", healthcare, health care Quality (AI) in Saudi Arabia,(AI) in healthcare, healthcare providers. The review focused on studies published in the last ten years, ensuring the inclusion of the most recent and relevant research on the effects of AI on Saudi healthcare organizations. The review included quantitative and qualitative analyses, providing a robust and comprehensive understanding of the topic

Results:

12 articles were included in this systematic review.The findings suggest that AI has significantly improved diagnostic accuracy, patient management, and operational efficiency within the Saudi healthcare system. AI technologies have been used in various healthcare areas, such as radiology, cardiology, and pathology. However, the review also highlights challenges in data privacy, algorithmic bias, and the need for robust regulatory frameworks. The review underscored the importance of ongoing monitoring and rigorous training of healthcare personnel in AI applications.

Conclusions:

Artificial Intelligence (AI) has the potential to transform healthcare in Saudi Arabia by improving patient outcomes and streamlining operations. AI can aid in predicting patient outcomes, personalizing medicine, and enhancing administrative efficiency. However, challenges such as ensuring data privacy, making necessary infrastructure investments, and addressing biases in AI algorithms must be addressed. The healthcare sector can benefit from AI through better disease outbreak predictions, advanced training for medical professionals, and support for ongoing education. The rise of telehealth and digital health strategies highlights AI's important role in the future of healthcare in the region. To maximize the benefits of AI, it is critical to tackle the associated challenges. With proper implementation and training, AI can lead to more accurate and cost-effective healthcare services. Clinical Trial: NO Trial