01 Oct Why AI Ready Data is the Key to Hitting Population Health KPIs

Author: Mark Coetzer, VP of Business Development at IMAT Solutions

Population Health leaders are under more pressure than ever to improve quality scores, reduce total cost of care, and address health equity while navigating complex value-based care contracts.

The challenge is that achieving these key performance indicators depends on data that is often fragmented, inconsistent, and incomplete. Without a solid data foundation, even the most advanced analytics or AI tools will fail to deliver accurate and actionable insights.

The solution is AI ready data, which is clean, complete, current, and connected health information that empowers executives to close care gaps, improve outcomes, and make measurable progress on the KPIs that matter most.

Turning Fragmented Data into a Strategic Asset

At its core, population health management requires seeing the full picture of a patient or member population. IMAT Intelligence unifies data from hundreds of disparate sources, validates it in real time, and normalizes it against thousands of rules.

The result is a longitudinal health record that supports predictive analytics, risk stratification, and performance measurement across all value-based care initiatives.

With clean, integrated, and intelligence-ready data, population health leaders can:

• Identify at-risk patients earlier and close gaps in care before they escalate.

• Monitor performance on quality measures such as HEDIS, STAR ratings, and MSSP metrics with confidence.

• Reduce avoidable readmissions and ED utilization by targeting the right interventions at the right time.

• Strengthen negotiations and outcomes for risk-based contracts by relying on accurate, trustworthy data.

Scaling Insights from Clinical to Financial to Community Impact

Population health executives are accountable not only for care outcomes, but also for financial performance and community well-being. IMAT Intelligence supports this broad mandate by connecting both clinical and non-clinical data into a single view.

• Clinical and operational impact: Care managers can act on real-time alerts delivered directly into workflows, ensuring timely intervention for high-risk patients.

• Financial performance: Normalized and validated data ensures accurate risk adjustment coding under new CMS models, protecting reimbursement and reducing revenue leakage.

• Equity and community health: Data on social determinants of health can be integrated with clinical records to better address disparities, improve referral networks, and demonstrate progress on health equity initiatives.

Building Confidence Through Governance and Security

Population health leaders also face the challenge of maintaining trust with payers, providers, and patients. IMAT Intelligence ensures that data is governed, secure, and compliant with HIPAA, HITRUST, and NCQA standards. Continuous monitoring keeps data current and accurate, reducing the risk of errors that undermine performance or patient safety.

The Bottom Line

Population health is only as strong as the data behind it. IMAT Intelligence provides the foundation leaders need to move from fragmented information to actionable intelligence. By making healthcare data AI ready, IMAT helps organizations lower costs, improve outcomes, strengthen contract performance, and advance equity across the populations they serve.

Ready to Make Your Population Health Data AI Ready?

Success in population health requires more than technology. It requires a trusted data foundation that delivers accurate, complete, and actionable insights. IMAT Intelligence empowers healthcare organizations to unify data across sources, eliminate silos, and turn information into measurable progress on quality, cost, and equity goals.

Contact us today to learn how IMAT can help you achieve your population health KPIs with confidence.

About the Author
Mark Coetzer is VP of Business Development at IMAT Solutions, with more than 30 years of technology experience and a decade dedicated to healthcare. He brings deep expertise in clinical data integration, interoperability, and population health, and is passionate about helping organizations build trusted data foundations for better care and smarter outcomes.

Additional Insights from Mark Coetzer:
• PODCAST: The Need for AI Ready Data in Healthcare
• PODCAST: Closing Care Gaps Through Better Data – Why It’s Time to Move Beyond Chart Chasing
• HIT Consultant: Why Clean Data Is the Foundation for AI in Healthcare
• Healthcare Business Today: AI Ready Health Data in the Era of Smarter Care
• Health IT Answers: Why Data Intelligence Is the Missing Link in Healthcare Modernization