IMAT Solutions Blog

IMAT Solutions showcasing HIE data quality and the Health Data Quality Assessment at Civitas 2026

26 Aug IMAT to Showcase Health Data Quality for HIEs at Civitas 2026

Top Takeaways • IMAT Solutions will be a Silver Sponsor of the 2026 Civitas Annual Conference, September 22–24 in Arlington, Virginia.• HIEs have an opportunity to expand their role beyond data exchange by providing trusted data infrastructure for population health, quality reporting, analytics, AI, value-based care, and statewide healthcare initiatives.• Expanding those services requires HIEs to understand the quality, completeness, consistency, and usability of the data moving through their networks.• The IMAT Health Data Quality Assessment...

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AI-ready healthcare data supporting better AI, clinical workflows, analytics, and decision making

19 Aug AI Shouldn’t Automate Healthcare’s Data Problems

Top Takeaways • AI can accelerate healthcare workflows, but it can also magnify longstanding problems with fragmented data, redundant processes, and inconsistent information. • Healthcare organizations should evaluate the data and workflows behind a process before using AI to automate it.• AI-ready healthcare data must be complete, standardized, normalized, and usable across systems and applications.• A trusted enterprise data foundation can support AI while also improving quality reporting, analytics, population health, and other healthcare priorities.• AI implementation...

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Healthcare data usability supporting AI, analytics, quality reporting, and digital transformation

12 Aug Healthcare Doesn’t Have a Data Shortage. It Has a Data Usability Problem

Top Takeaways • Healthcare organizations have access to enormous volumes of data, but much of it still requires significant work before it can support clinical, operational, and strategic decisions.  • Interoperability has improved access to healthcare data, but exchanging information does not automatically make it standardized, trusted, or usable. • Poor data usability creates hidden operational costs through manual reconciliation, duplicate processes, fragmented reporting, and repeated data preparation. • A trusted enterprise data foundation can allow the same...

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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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