IMAT Intelligence Tag

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

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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04 May Health Data News Roundup: Healthcare AI No Longer Experimental; CMS Health Tech Ecosystem and HIEs; and Prior Authorization Standardization

Welcome to the Health Data Weekly News Roundup from IMAT Solutions. As the power of data continues to grow in the healthcare arena, today’s care organizations need to be on the forefront of all news and trends to help ensure that their data analytics efforts deliver accountable and informed care. Each week, we will provide you with the actionable news you need to meet these goals. AI in Healthcare is No Longer Experimental AI is no longer...

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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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IMAT Intelligence

14 Apr Introducing IMAT Intelligence: Unlocking the Power of Health Data for All

New SaaS-based Health Data Intelligence Platform™ allows a wider range of care organizations to leverage health data for driving better decisions and better care.   In today’s rapidly evolving healthcare landscape, data has become foundational for efficient, effective, and coordinated patient care. In addition, achieving the goal of value-based care requires enhanced health data sharing, integration, and accessibility across various systems. However, many healthcare networks struggle with data silos, high-cost solutions, and complex implementations. IMAT Solutions is addressing...

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