value based care Tag

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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20 Jul Health Data News Roundup: Health AI Creates Cognitive Burden; AI Ready Data; and Congress Gives MSSP ACOs More Time

Welcome to the Health Data Weekly News Roundup from IMAT Solutions. This week's healthcare data news underscores that successful digital transformation depends on more than adopting new technologies. As healthcare organizations expand their use of AI, digital quality measurement, and connected health data, they are also recognizing the importance of trusted, standardized, and accessible information. From AI readiness and data quality to interoperability and value-based care, building a stronger data foundation remains central to improving...

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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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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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15 Jun Health Data News Roundup: Payer Satisfaction Low; MA Star Ratings Court Case; and Payers Shift to Data Intelligence

Welcome to the Health Data Weekly News Roundup from IMAT Solutions. This week's healthcare data news highlights growing pressure on health plans to improve member satisfaction, maximize the value of healthcare data investments, and support quality and care delivery initiatives. From Medicare Advantage trends and Star Ratings scrutiny to digital health records and data intelligence strategies, organizations across the healthcare ecosystem continue to focus on turning healthcare data into meaningful business and clinical outcomes. JD Power:...

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08 Jun Health Data News Roundup: Payers Become AI-First; Microsoft and Mayo Clinic Frontier AI Model; and Payer IT Execution

Welcome to the Health Data Weekly News Roundup from IMAT Solutions. This healthcare data news roundup highlights how health plans and providers are accelerating AI adoption, strengthening value-based care strategies, and focusing on operational transformation. Industry leaders continue to emphasize the importance of governance, care management, and trusted data as organizations work to improve outcomes, reduce costs, and prepare for the future of healthcare. AI for Healthcare Payers: How to Become AI-First Health plans have an opportunity...

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03 Jun Why Health Plan Data Infrastructure Is Becoming a Competitive Advantage

Top Takeaways • Health plan leaders increasingly view actionable data as a strategic asset for improving affordability, operational efficiency, and member outcomes. • AI adoption is accelerating across payer organizations, but success depends on trusted, normalized, and auditable healthcare data. • Health plans are moving from experimentation to operationalization as AI becomes embedded into workflows such as risk adjustment, claims, and utilization management. • Data quality and interoperability remain foundational challenges that must be addressed before organizations can fully...

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01 Jun Health Data News Roundup: AI with Dwarf Every Health IT Shift; Health Plan Trends; and Ken Barbe New IMAT CEO

Welcome to the Health Data Weekly News Roundup from IMAT Solutions.This week's healthcare data trends highlight the growing importance of AI infrastructure, interoperability, payer transformation, and trusted data foundations as healthcare organizations prepare for an increasingly digital future. Beyond the EHR: Why One CIO Believes AI Will Dwarf Every Prior Health IT Shift Healthcare leaders should view artificial intelligence as a transformational shift that will extend far beyond traditional electronic health record (EHR) systems and health systems...

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22 May Medicare Advantage Compliance Is Entering a New Phase. Health Plans Need Better Data Foundations.

Top Takeaways • Medicare Advantage oversight is intensifying as CMS and federal regulators place greater scrutiny on audit readiness, risk adjustment accuracy, and data integrity. • Risk adjusted data validation is becoming more critical as plans prepare for increasing compliance expectations and operational complexity.• Fragmented data environments create compliance risk when clinical, claims, and encounter data cannot be trusted or validated consistently.• Audit ready data infrastructure is becoming essential as health plans face growing pressure to support...

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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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