Persivia Launches National Health Intelligence Initiative to Accelerate Value-Based Care in Saudi Arabia

At GHE 2025 in Riyadh, Persivia unveiled the National Health Intelligence Initiative to support Vision 2030. AI will unify data for VBC with MoH, HHC, SDAIA, CHI, and NEOM.

Categorized in: AI News Healthcare
Published on: Nov 11, 2025
Persivia Launches National Health Intelligence Initiative to Accelerate Value-Based Care in Saudi Arabia

Persivia Launches National Health Intelligence Initiative to advance AI-led Healthcare in Saudi Arabia

Persivia Inc. announced its National Health Intelligence Initiative (NHI) during GHE 2025 in Riyadh, marking a clear step in Saudi Arabia's healthcare modernization under Vision 2030.

The company has secured a local license from the Ministry of Investment, signaling a long-term plan for localization, technology transfer, and workforce development. The focus: enable Value-Based Care (VBC) and a sustainable, data-informed health economy across the Kingdom.

What the National Health Intelligence Initiative does

  • Integrates health data at national scale, delivering real-time, evidence-based insights for leaders, clinicians, and payers.
  • Runs on Persivia's patented AI Engine to support clinical decisions, policy planning, and financial optimization.
  • Uses "growth loops" - feedback cycles where model learning and health system performance reinforce each other, improving outcomes and spend over time.
  • Supports VBC programs with risk stratification, care pathway optimization, cohort analytics, and performance tracking.

Who Persivia is working with

During GHE 2025, Persivia's leadership held strategic meetings with the Ministry of Health (MoH), Health Holding Company (HHC), Saudi Data & Artificial Intelligence Authority (SDAIA), Council of Health Insurance (CHI), and the NEOM Investment Fund.

Discussions centered on aligning AI models and analytics with national priorities: value-based care, AI governance, standardization, interoperability, and population health management. Persivia also sponsored the NextGen Pitch Competition, backing Saudi startups building the future of digital health.

"Saudi Arabia is building one of the most forward-thinking healthcare systems in the world. Our goal is to bring not just technology, but also clinical insight, strategic expertise, and years of proven experience in AI-driven healthcare. With the National Public Health Intelligence Initiative, we're helping create the foundation for smarter decisions, better outcomes, and sustainable growth." - Dr. Mansoor Khan, CEO, Persivia

Why this matters for healthcare leaders

  • Regulators and policymakers: Faster access to trusted metrics for planning, funding, and oversight across regions and programs.
  • Providers and care networks: Unified patient views, actionable risk stratification, and clear targets tied to quality and cost.
  • Payers and CHI: Standardized measures, attribution models, and contract performance analytics for VBC.
  • Innovation ecosystems (e.g., NEOM): A scalable data and AI foundation to support new care models and digital health ventures.

How NHI will be executed

  • Localization: In-Kingdom presence, data residency, and clinical content adapted to local standards and pathways.
  • Governance: Collaboration with SDAIA and national bodies for model governance, bias monitoring, and auditability.
  • Interoperability: Integration with existing MoH, HHC, and payer systems; adherence to national data standards.
  • Measurement: Clear KPIs for outcomes, utilization, experience, and cost to ensure accountability and financial viability.

"We see tremendous alignment between Vision 2030's goals and Persivia's mission. Our presence here is about partnership, building capabilities that last and empowering the next era of healthcare intelligence." - Waleed Mattar, Partner, Persivia Saudi

Practical next steps for health organizations

  • Audit data readiness: EHR data quality, coding completeness, identity management, and integration gaps.
  • Prioritize cohorts: Start with high-cost, high-variation groups (e.g., diabetes, CVD, CKD) and define measurable VBC outcomes.
  • Stand up a governance council: Include clinical, data, compliance, and finance to oversee model use and policy impact.
  • Run focused pilots: Test care pathways in 1-2 regions with clear baselines, targets, and a quarterly review cadence.
  • Upskill teams: Train clinicians, analysts, and administrators on AI literacy, bias, and practical workflow integration.

Context and resources

For national context, see Saudi Vision 2030's health objectives and digital priorities and SDAIA's role in AI governance and data infrastructure.

If your teams are building AI capability for clinical operations and health administration, explore role-based learning paths here: AI courses by job.


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