IMAT Solutions Blog

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

Posted at 15:54h in Hospitals and Clinics by Matt Langan 0 Comments

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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...

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

Posted at 10:53h in Hospitals and Clinics by Matt Langan 0 Comments

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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...

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

Posted at 09:00h in Hospitals and Clinics by DesignWorks 0 Comments

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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...

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

Posted at 09:00h in Hospitals and Clinics by DesignWorks 0 Comments

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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

Posted at 09:00h in Hospitals and Clinics by DesignWorks 0 Comments

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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

Posted at 09:00h in Hospitals and Clinics by DesignWorks 0 Comments

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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

Posted at 18:01h in Hospitals and Clinics by DesignWorks 0 Comments

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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

Posted at 06:58h in Hospitals and Clinics by DesignWorks 0 Comments

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

Posted at 09:00h in Hospitals and Clinics by DesignWorks 0 Comments

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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...