The IMAT C3 Framework: Building Confidence for Making Healthcare Data AI Ready
Healthcare organizations of every type, including HIEs, payers, hospitals, clinics, and ACOs, face the same challenge of accessing and leveraging data that is trustworthy enough to guide care, reporting, financial, and compliance efforts.
Too often, data is incomplete, outdated, or inconsistent. This creates a lack of confidence and makes it nearly impossible to power analytics, meet reporting standards, or unlock the promise of AI.
The IMAT C3 Framework was created to solve this problem. Inspired by the Triple Aim, the framework ensures that all health data is Clean (C1), Current (C2), and Complete (C3). This foundation supports accurate reporting, better outcomes, and makes healthcare data truly AI ready.
C1 Clean
Whether structured or unstructured, health data must be continuously cleansed, normalized, validated, and optimized. Clean data reduces duplication and errors, ensuring that AI models and clinical systems are built on accurate inputs rather than flawed or inconsistent information.
C2 Current
Outdated data is one of the biggest barriers to effective care and reliable AI insights. The C3 Framework ensures that data is always current, continuously refreshed from multiple sources, and accessible in near real time. This supports timely clinical decisions, proactive alerts, and responsive patient engagement.
C3 Complete
For care systems to deliver a full view of the patient journey, they need access to all available information, including historical, structured, and unstructured data. By making data complete, the C3 Framework allows organizations to close care gaps, track outcomes across populations, and fuel AI with the context it needs to deliver accurate and actionable insights.
Why C3 Matters for AI Readiness
AI cannot thrive on fragmented or partial information. The C3 Framework provides the essential foundation for AI ready data, giving healthcare organizations the confidence to trust their analytics and intelligence driven tools. Clean, current, and complete data ensures that insights are accurate, decision-making is reliable, and innovations such as predictive modeling or real-time orchestration deliver their full value.
Are you fully confident in your health data management efforts?
Contact IMAT Solutions today to find out how your organization can meet the objectives behind the C3 Framework.
Take the IMAT Data Confidence Index (DCI) survey, a simple and easy-to-use survey of 28 questions that will provide candid insights into where and how you can improve your overall health data management efforts.