Despite the rise of AI, real-time alerts, and digital quality measures, most payers are still chasing charts manually. In this episode, we explore a better, more sustainable path forward.

As the industry moves toward value-based care and increasingly complex quality reporting, the ability to act on timely, accurate clinical data is more essential than ever. Unfortunately, many health plans are still held back by fragmented EMR systems, inconsistent data formats, and limited provider data access.

IMAT Solutions is helping to change that with modern data acquisition, normalization, and real-time insights that make it possible to close care gaps year-round, not just during HEDIS season.

Following are key highlights from this interview:

• Why payers are still struggling with manual chart chasing. (0:52)
• What’s preventing timely access to quality clinical data. (1:30)
• The major EMR-level barriers that keep data siloed and inconsistent. (2:15)
• How centralized data acquisition and normalization can shift care gap management from reactive to proactive. (3:10)
• How real-time quality measures and risk stratification can enable smarter outreach. (3:45)
• Why clean, centralized data is the necessary foundation for effective AI in healthcare. (5:15)
• How IMAT Intelligence is built to power this transformation. (5:47)

We would like to thank Mark Coetzer, VP of Business Development at IMAT Solutions, for sharing his insights with us!

Are you ready to move beyond chart chasing? Contact us to learn how IMAT’s Health Data Intelligence Platform can help your organization close care gaps, boost HEDIS performance, and support better outcomes. Also, be sure to read this case study about how IMAT Intelligence helped a prominent, large regional Accountable Care Organization (ACO) close care gaps.