03 Dec Introducing the IMAT Health Data Quality Assessment

By Mark Coetzer, VP of Business Development at IMAT Solutions

Healthcare organizations cannot scale analytics or responsibly adopt AI without trusted data. IMAT Solutions’ new Health Data Quality Assessment gives payers and health systems a one-time diagnostic that baselines the accuracy, completeness, and readiness of their data. The assessment identifies gaps, risks, and improvement opportunities so leaders can strengthen performance and prepare for AI driven initiatives with confidence.

Every healthcare organization is racing toward better analytics, stronger reporting, and responsible AI adoption. Yet one question sits at the center of all these goals: Can your data be trusted?

A Smarter Starting Point for Trusted Analytics and AI Readiness

Most leaders suspect they have data quality issues. Fewer know where the problems are. And almost none have a true baseline to measure progress against. This is why IMAT Solutions created the Health Data Quality Assessment, a focused, one-time engagement that evaluates the condition of your clinical and administrative data and identifies what must be fixed to move forward with confidence.

Why This Matters Now

AI will not fix bad data. It will amplify it. Analytics will not create value from incomplete or inconsistent information, and compliance becomes more challenging when quality issues go unseen.

The organizations that move ahead are the ones that first understand the health of their data foundation. The assessment helps leaders answer fundamental questions:

• Is our data complete enough to drive accurate analytics?
• Do inconsistencies or drift patterns create avoidable risk?
• Are gaps in provider documentation or claims ingestion slowing performance?
• Is our data environment prepared for AI driven initiatives?

The output is not a generic score, but a clear view of how your data functions today and where improvement will drive the greatest impact.

What the Assessment Delivers

The IMAT Health Data Quality Assessment uses the same technology that powers the IMAT Intelligence platform, giving organizations a precise evaluation across five critical areas:

• Data Integration: How well your data is being ingested and harmonized across EHRs, labs, HIEs, claims systems, and other sources.

• Data Normalization: Where variations and inconsistencies are weakening interoperability and analytic accuracy.

• Data Completeness: Which clinical, claims, or encounter elements are missing, outdated, or fragmented.

• Data Accuracy: Whether key data elements are reliable enough for quality reporting, risk adjustment, or care management.

• AI Readiness: If your data foundation can support advanced analytics, predictive modeling, and responsible AI adoption.

The IMAT Difference

This is not a generic data audit. The assessment uses the same patented dual repository technology and real time analytics that power the IMAT Intelligence platform. The result is a comprehensive and actionable assessment that reveals the true condition of your data and maps a clear path to improvement.

There are no long-term commitments. You invest once and receive clarity on the health of your data environment.

What You Receive

At the end of the engagement, you receive a detailed Data Quality Report that includes:

• Your complete data health baseline.
• Key findings and risk areas.
• Opportunities for improvement.
• Recommendations to prepare your data for AI, analytics, reporting, and value-based care.

This becomes your roadmap to more accurate insights, better decision making, and stronger performance across clinical, financial, and operational programs.

A Stronger Foundation for Modern Healthcare

AI, value-based care, predictive analytics, and whole person insights all depend on trustworthy data that is complete, current, and reliable. The organizations that succeed in the next decade will be the ones that solve data quality first.

The Health Data Quality Assessment gives healthcare leaders a practical way to start. Clarity comes before strategy, and once the baseline is set, everything else becomes possible. If your organization is preparing for advanced analytics, expanding AI, or modernizing data operations, now is the right time to understand where your data truly stands.

Learn more and request your assessment here.

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.

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