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Data Analytics Applications in Population Health in Saudi Arabia: Challenges and Opportunities.

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Data analytics, particularly predictive analytics, enhances proactive healthcare and population health management. This review explores its benefits and challenges in Saudi Arabia, identifying opportunities for improvement.

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Area of Science:

  • Healthcare Informatics
  • Public Health Analytics
  • Data Science in Medicine

Background:

  • Data analytics, especially predictive analytics, is revolutionizing healthcare by enabling proactive and preventive care strategies.
  • Population health initiatives increasingly rely on advanced data analysis for disease surveillance, chronic disease management, and resource optimization.

Purpose of the Study:

  • To review the applications of data analytics in improving population health.
  • To identify the benefits and challenges of implementing data analytics in healthcare settings.
  • To explore opportunities for advancing population health analytics in Saudi Arabia.

Main Methods:

  • Systematic literature review of data analytics applications in healthcare.
  • Analysis of benefits such as enhanced decision-making and service efficiency.
  • Identification of challenges including data integration, standardization, and fragmentation.

Main Results:

  • Data analytics offers significant benefits for population health improvement, including disease surveillance and chronic disease management.
  • Key challenges include data integration, granular analysis, lack of standardization, and data fragmentation.
  • Opportunities exist to strengthen healthcare data systems in Saudi Arabia through advanced analytics.

Conclusions:

  • Predictive analytics is a powerful tool for proactive healthcare and population health management.
  • Addressing data-related challenges is crucial for maximizing the potential of analytics in healthcare.
  • Strategic implementation of data analytics can significantly advance population health outcomes in Saudi Arabia.