08 Oct How AI-Ready Health Data Supports the Joint Commission and CHAI Guidance

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

The Joint Commission and Coalition for Health AI (CHAI) recently took an important step toward shaping the future of artificial intelligence in healthcare. The organization’s new report, Guidance on Responsible Use of AI in Healthcare, outlines how hospitals and health systems can safely, effectively, and transparently implement AI at scale.

One of the most meaningful sections of this report focuses on ongoing quality monitoring, encouraging healthcare organizations to continuously evaluate the performance, reliability, and data integrity behind AI enabled tools. This includes both pre deployment testing and post deployment oversight to ensure safe, reliable outcomes over time.

It is an essential framework, but it raises an important issue around how care organizations can effectively monitor AI tools if the data feeding them is not clean, complete, and trustworthy in the first place.

AI Governance Begins with Data Governance

The Joint Commission and CHAI emphasize the importance of policies, validation processes, and dashboards that track how AI systems behave. Yet the foundation of any responsible AI governance framework begins with the quality of the data underneath it.

AI models can only perform as well as the data they are trained and evaluated on. Without consistent and accurate data, ongoing monitoring becomes an endless effort to find and correct errors instead of improving care. To meet the intent of this new guidance, healthcare organizations need data that is:

• Clean, free of duplication and inconsistency.
• Current, updated in real time as new information becomes available.
• Complete, covering both structured and unstructured data such as EHRs, labs, imaging, and clinical notes.

At IMAT Solutions, we call this AI-ready health data, and it is the foundation for reliable AI monitoring and governance.

Turning Data Oversight into AI Oversight

The guidance calls for healthcare organizations to create clear processes for ongoing monitoring of AI tools, including validation, bias detection, and outcome tracking. Achieving that level of oversight requires the ability to see, understand, and trust your data across every workflow.

The IMAT Intelligence platform provides that capability. It continuously ingests, normalizes, and validates data from hundreds of sources to create a unified, high quality data environment. This gives healthcare organizations a single, accurate version of truth that supports both patient care and AI performance tracking.

By using IMAT Intelligence to monitor data in real time, organizations can:

• Identify data drift and inconsistencies before they affect AI accuracy.
• Track outcomes and confidence scores for AI generated insights.
• Maintain a feedback loop between clinical users, governance teams, and AI vendors.
• Ensure that AI models always rely on the most recent and relevant data.

With IMAT Intelligence, healthcare organizations can meet the Joint Commission’s recommendation for continuous and context appropriate monitoring of both AI tools and the data that fuels them.

From Compliance to Continuous Improvement

The Joint Commission and CHAI guidance is an important milestone for responsible AI. It also highlights where the industry is heading. Regulators, accrediting bodies, and patients will increasingly expect transparency around how AI is deployed, monitored, and validated.

Organizations that treat AI governance only as a compliance requirement may meet the minimum standard, but those that approach it as an ongoing improvement process will achieve much greater success. High quality, AI ready data allows healthcare organizations to turn oversight into insight and build lasting trust in AI outcomes.

The future of responsible AI depends not only on advanced algorithms but also on strong, trustworthy data foundations.

At IMAT Solutions, we are proud to help healthcare organizations build those foundations through IMAT Intelligence, a platform that unifies, cleans, and monitors health data in real time so that AI systems can deliver safer, more accurate, and more equitable results.

Contact us today to learn how IMAT can help you strengthen your AI governance with clean, reliable, and AI ready health data.

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
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