IMAT Solutions Blog

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

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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...

25 Mar Bulk FHIR and the Next Phase of Data Exchange in Healthcare

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By Mark Coetzer, VP of Business Development at IMAT Solutions Bulk FHIR is emerging as a critical capability for population-level data exchange, enabling healthcare organizations to move large datasets more efficiently. While Bulk Data Export has focused on pulling data, new concepts like Bulk Submit introduce a standardized way to push data across systems. As discussed at HIMSS 2026, these advancements signal progress in interoperability, but also reinforce the need for data normalization, validation, and governance....

18 Mar Interoperability in 2026: Progress, Gaps, and What It Means for Closing Care Gaps

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By Mark Coetzer, VP of Business Development at IMAT Solutions Healthcare interoperability is advancing in 2026, driven by FHIR adoption, CMS initiatives, and increased data exchange across networks. However, data quality, fragmentation, and inconsistent EHR structured data implementation continue to limit its impact. As a result, many organizations still struggle to close care gaps and act on insights in real time. The organizations that succeed will be those that move beyond data exchange to data normalization...

12 Mar Why MSSP ACOs Must Rethink Data Infrastructure for APP Quality Reporting

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By Mark Coetzer, VP of Business Development at IMAT Solutions The Medicare Shared Savings Program (MSSP) has shifted from the CMS Web Interface to electronic reporting under the Alternative Payment Model Performance Pathway. ACOs must now aggregate all payer data across their full patient population and submit quality measures electronically using QRDA III formats. This transition introduces new challenges around data completeness, EHR interoperability, patient matching, and reporting accuracy. As CMS continues aligning quality programs through...

29 Jan How Data Integrity Shapes Nursing Safety, Staffing, and Care Quality

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21 Jan Why Trusted Health Data Is the Backbone of Modern Clinical Risk Management

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By Mark Coetzer, VP of Business Development at IMAT Solutions Clinical risk leaders are under pressure to reduce harm, manage liability, and respond faster to safety events. This post explores how AI ready data gives System Directors of Clinical Risk Management the visibility, consistency, and confidence needed to prevent incidents, strengthen investigations, and build a proactive culture of safety across complex health systems. System Directors of Clinical Risk Management play a vital role in protecting patients, clinicians,...

07 Jan Healthcare IT Today: How Do I Know if My Health Data Is Bad?

Posted at 04:46h in Hospitals and Clinics by DesignWorks 0 Comments

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Healthcare organizations often assume their data is reliable until something breaks. In a recent Healthcare IT Today guest article, Mark Coetzer, VP of Business Development at IMAT Solutions, explains why poor data quality often goes undetected, how it quietly undermines analytics and AI initiatives, and why a formal health data quality assessment is becoming a critical first step for healthcare leaders. Data is at the center of nearly every healthcare priority today, from quality improvement and...

17 Dec How AI Ready Data Empowers CMOs to Lead Quality, Safety, and Value at Enterprise Scale

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By Mark Coetzer, VP of Business Development at IMAT Solutions Chief Medical Officers are responsible for quality, safety, and clinical performance across complex health systems. This post explores how AI ready data supports CMOs in leading enterprise-wide improvement, aligning physicians, reducing variation, and delivering stronger outcomes in value-based care. It explains why trusted, unified data is essential for confident clinical leadership and sustainable performance at scale. Chief Medical Officers sit at the intersection of clinical leadership, enterprise...

10 Dec The Role of AI Ready Data in Strengthening Clinical Research, Predictive Modeling, and Care Quality

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By Mark Coetzer, VP of Business Development at IMAT Solutions Directors of Clinical Analytics and Outcomes Research play a central role in advancing patient outcomes, supporting translational science, and guiding strategic decisions across academic medical centers. Their work depends on clean, complete, and reliable health data. AI ready data gives these leaders the ability to evaluate treatment effectiveness, power predictive models, support clinical research, and deliver insights that improve care quality and operational performance. The Increasing Demand...

29 Oct How Trusted Data Fuels Scalable Analytics for Health Systems

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By Mark Coetzer, VP of Business Development at IMAT Solutions Many enterprise data executives at health systems are being asked to turn analytics into measurable clinical and financial value. Success depends on trusted, unified, and high-quality data that supports innovation at scale. AI ready data gives health systems the reliable foundation they need to improve time to insight, increase platform adoption across service lines, and unlock true return on data investments. The Strategic Shift to Data as...