IMAT Solutions Blog

Mark Coetzer discusses how the Rural Health Transformation Program is helping HIEs build trusted healthcare data for interoperability, AI, and quality reporting.

29 Jul Q&A: Rural Health Transformation Starts with Trusted Data

Conversation with Mark Coetzer, VP of Business Development at IMAT Solutions Top Takeaways • The Rural Health Transformation Program is about building sustainable healthcare infrastructure, not simply distributing funding. • Health information exchanges have an opportunity to become the trusted data foundation supporting statewide healthcare transformation. • High-quality, standardized healthcare data is essential for AI, quality reporting, population health, and value-based care. • Organizations that strengthen data governance today will be better positioned to maximize Rural Health Transformation investments tomorrow.  The...

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Health information exchanges preparing for Rural Health Transformation with trusted healthcare data

22 Jul The Next Opportunity for HIEs Is Rural Health Transformation

Top Takeaways • The CMS Rural Health Transformation Program (RHTP) represents one of the largest federal investments in healthcare infrastructure in years, creating new opportunities for health information exchanges (HIEs) to expand their role in statewide healthcare transformation. • Modern HIEs are evolving beyond clinical data exchange to support payer-provider connectivity, prior authorization, population health, quality reporting, and AI-ready healthcare ecosystems.• Success under RHTP will depend on more than interoperability. HIEs need trusted, standardized, and actionable data...

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14 Jul Congress Gives MSSP ACOs More Time. Here’s How to Use It.

Top Takeaways • The U.S. House of Representatives has passed bipartisan legislation that would extend quality reporting flexibility for MSSP ACOs through performance year 2029, recognizing that many organizations are not yet ready for fully electronic clinical quality measure (eCQM) reporting. • The extension reflects ongoing challenges with EHR readiness, data quality, and interoperability rather than a delay in the industry's move toward digital quality measurement. • Organizations that use this time to strengthen data quality, standardize clinical...

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02 Jul Healthcare Has Achieved Interoperability. Now Comes the Hard Part: Data Standardization

Top Takeaways • Healthcare interoperability has reached an important milestone, but exchanging data is only the first step toward improving care and operational performance.• TEFCA and the CMS Health Tech Ecosystem are accelerating secure health information exchange across the industry.• Health plans are moving from experimentation to operationalization as AI becomes embedded into workflows such as risk adjustment, claims, and utilization management. • The next challenge is ensuring exchanged data is standardized, trusted, and ready to support...

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23 Jun Health IT Answers: Why Delaying dQM Readiness Could Cost More Than Preparing

Top Takeaways • The costs associated with fragmented data environments and manual reporting workflows are already affecting healthcare organizations today. • dQM readiness is not just about future compliance requirements. It is about improving operational efficiency, data quality, and decision making now.• Investments in interoperability, data standardization, and reporting infrastructure can support multiple strategic initiatives beyond quality reporting.• Delaying data modernization efforts may increase administrative burden and make future transitions more disruptive. • Organizations that strengthen their data...

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13 May AI Is Moving Beyond Experimentation. MSSP ACOs Need the Data Infrastructure to Keep Up.

Top Takeaways • AI is moving from experimental to operational across MSSP ACOs as organizations increasingly embed AI into clinical, quality, and care management workflows.• Real-time data infrastructure is becoming essential as ACOs shift from retrospective reporting toward continuous performance monitoring and operational decision making.• Fragmented and delayed data remains a major barrier to scalable AI adoption and value-based care success.• MSSP APP reporting is accelerating the need for trusted data as ACOs move toward full...

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07 May HL7, FHIR, and the HIE Reality: Why Interoperability Still Depends on Data Intelligence

Top Takeaways • HL7 v2 remains foundational because it still powers much of healthcare’s day to day operational data exchange and continues to support core clinical workflows across the industry. • FHIR accelerated interoperability by making data exchange more practical, flexible, and developer friendly, allowing healthcare organizations to adopt API based integration faster than any previous HL7 standard. • Legacy standards are not disappearing as HL7 v2, CDA, and FHIR now coexist across healthcare environments and must be...

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29 Apr Healthcare Business Today: Why MSSP ACOs Must Rethink Data Infrastructure for the APP Era

Top Takeaways • APP reporting requires MSSP ACOs to move beyond sampling and manual chart abstraction to support full population digital quality reporting.• Clinical data quality now directly impacts performance, making complete, standardized, and report ready data essential for accurate measurement.• Fragmented data environments across EHRs, coding systems, and provider workflows make full population reporting far more difficult at scale.• Manual chart chasing is no longer sustainable and is being replaced by centralized data curation and...

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08 Apr MSSP ACO APP Reporting: The Digital Tipping Point for Full Population Data and Performance

The transition to APP quality reporting marks a major shift for MSSP ACOs, moving from manual sampling to full population, all-payer reporting. While this enables more accurate and timely performance measurement, it also exposes significant challenges around data quality, interoperability, and patient matching. ACOs that invest in real-time data aggregation, normalization, and validation will be best positioned to succeed in this new era of digital quality measurement. For years, Accountable Care Organizations operated in a world...

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01 Apr The Shift to Digital Quality Measures: What CMS’s Next Move Means for Healthcare Data

By Mark Coetzer, VP of Business Development at IMAT Solutions CMS and NCQA are accelerating the transition to digital quality measures, moving healthcare away from manual reporting and toward automated, data-driven performance measurement. While this shift promises better alignment, reduced administrative burden, and more timely insights, it also exposes persistent challenges around data quality, interoperability, and standardization. Organizations that invest in strong, unified data foundations will be best positioned to succeed in this next phase of...

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