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

Posted at 09:46h in Health Payers, Hospitals and Clinics by Matt Langan 0 Comments
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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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29 Jun Health Data News Roundup: TEFCA and Data Standardization; dQM Readiness Costs; and AI Needs Human Connection

Posted at 17:12h in Health Data News Roundup by Matt Langan 0 Comments
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Welcome to the Health Data Weekly News Roundup from IMAT Solutions. This week's healthcare data news highlights how healthcare organizations are preparing for the next phase of digital transformation through stronger interoperability, data standardization, responsible AI adoption, and digital quality measurement. As new technologies and reporting requirements continue to evolve, organizations are increasingly focused on building trusted data foundations that support better decision making, operational efficiency, and improved patient outcomes. Data Standardization Key to Health Tech...

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

Posted at 15:13h in Hospitals and Clinics by Matt Langan 0 Comments
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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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