16 Sep PODCAST: The Need for AI Ready Data in Healthcare

In our latest episode of Advancing Healthcare Through Data, Mark Coetzer, VP of Business Development at IMAT Solutions, joins us to discuss one of the most critical issues shaping the future of AI in healthcare, which is the urgent need for AI ready data.

AI is often seen as the future of healthcare, but its real potential can only be realized with clean, complete, and integrated data. As Mark explains, without high quality input, even the most advanced algorithms will fail to deliver meaningful results. This is a challenge many health systems face today because of fragmented sources, inconsistent formats, and outdated systems.

In this episode, we explore how healthcare organizations can move from “garbage in, garbage out” to building a strong data foundation that supports both clinical and financial transformation.

• Why AI ready data is essential for modern healthcare. (1:00)
• The real-world impact of fragmented, inconsistent, and incomplete data. (1:44)
• The multi-step process for achieving AI ready data through integration, normalization, enrichment, validation, and governance (3:50)
• How IMAT Intelligence helps automate and scale these processes to deliver real-time, usable data. (4:55)
• A practical example of using AI ready data to better manage diabetic patients. (5:34)
• Why the new CMS HCC V28 risk model makes accurate and normalized data more important than ever. (6:21)

In addition, as Mark highlighted in the interview, he has written about this topic for publications such as Health IT Answers, Healthcare Business Today, and HIT Consultant.

Ready to turn your healthcare data into a true strategic asset? Contact us today to learn how IMAT Intelligence can help.