The role and future of the population health observatory: advancing public health intelligence in Saudi Arabia

Abstract

The Population Health Observatory (PHO), established by Saudi Arabia's Ministry of Health, employs cutting-edge technology, machine learning (ML), and proactive forecasting to analyse big data as part of strategic efforts to advance the nation's health at the population level. This study explores the foundational goals, operational scope, future directions, and recommendations of the PHO in alignment with Vision 2030, considering its aim of enabling precision population health through artificial intelligence (AI)-enabled surveillance, equity-driven insights, and genomic integration. Drawing on global models, this review highlights PHOs' role in population health data management, including data collection, analysis, and proactive predictive analysis to forecast diseases. It is intended to guide other entities and care providers towards prevention and provide them with the support needed to achieve this via data-driven insights, continuous follow-up, and impact assessment, along with the promotion of research and innovation. This should empower other healthcare branches and health policy translations. Implementation of the PHO faces significant challenges, including data sharing, fragmentation, quality, and digital infrastructure. However, the Saudi PHO also presents a significant opportunity to promote data sharing, research collaboration, and equitable distribution of healthcare resources. Integration of the PHO into the healthcare landscape is possible if we address these obstacles and take advantage of the available opportunities. The Saudi PHO is well placed to evolve into an entity that can shape and transform the Kingdom's healthcare system while acting as a model for precision public/population healthcare and evidence-based healthcare-related decision-making across the Middle East and beyond.

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