data quality Tag

Health Data News Roundup covering healthcare AI readiness, ACO technology, payer modernization, and health data sharing

24 Aug Health Data News Roundup: AI Should Not Automate Data Problems; MA Plan Dissatisfaction; and AI Governance

Welcome to the Health Data Weekly News Roundup from IMAT Solutions. This week's healthcare data news highlights how organizations are strengthening the foundations needed to support AI, value-based care, and more connected healthcare. From AI-ready data and payer modernization to ACO technology readiness, automated consent, and AI governance, healthcare leaders are confronting the data and operational challenges that can determine whether new technologies deliver meaningful results. AI Shouldn’t Automate Healthcare’s Data Problems Healthcare organizations should address fragmented...

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AI-ready healthcare data supporting better AI, clinical workflows, analytics, and decision making

19 Aug AI Shouldn’t Automate Healthcare’s Data Problems

Top Takeaways • AI can accelerate healthcare workflows, but it can also magnify longstanding problems with fragmented data, redundant processes, and inconsistent information. • Healthcare organizations should evaluate the data and workflows behind a process before using AI to automate it.• AI-ready healthcare data must be complete, standardized, normalized, and usable across systems and applications.• A trusted enterprise data foundation can support AI while also improving quality reporting, analytics, population health, and other healthcare priorities.• AI implementation...

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Health Data News Roundup covering healthcare AI governance, rural health AI, data usability, and value-based care

17 Aug Health Data News Roundup: Healthcare AI Governance Lags; Rural Health AI Questions; and Data Usability Challenges

Welcome to the Health Data Weekly News Roundup from IMAT Solutions. This week's healthcare data news highlights the growing gap between AI adoption and the data, governance, and workflows needed to support it. From AI readiness and rural healthcare to data usability, value-based care, and the practical approaches being taken by community health systems, healthcare leaders are increasingly focused on ensuring new technologies deliver measurable value for organizations and patients. Healthcare AI Adoption Outpaces Data and...

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

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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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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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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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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02 Mar Health Data News Roundup: ChatGPT Health Blind Spots; Data Quality and HEDIS 2030; and AHC Cost Savings

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. New Research: ChatGPT Health Has Blind Spots ChatGPT Health, a...

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25 Feb PODCAST: Why HEDIS 2030 Is a “Now” Problem for Payers

In the latest episode of the Advancing Healthcare Through Data podcast series, Mark Coetzer, VP of Business Development at IMAT Solutions, discusses why HEDIS 2030 is already reshaping payer operations and what health plans must do now to prepare for a fully digital reporting environment. [ai_playlist id="89393"] As NCQA accelerates the transition to Electronic Clinical Data Systems (ECDS), health plans are being required to rethink how clinical and claims data are captured, normalized, and validated. The move...

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