IMAT Solutions Blog

18 Jun Why Improving Member Satisfaction Starts with Better Healthcare Data

Posted at 13:17h in Health Payers by Matt Langan 0 Comments

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Top Takeaways • Member satisfaction and trust remain significant challenges for health plans despite ongoing efforts to improve member experiences. • Rising healthcare costs are increasing pressure on payer organizations to strengthen member engagement and deliver greater value. • Health plans are moving from experimentation to operationalization as AI becomes embedded into workflows such as risk adjustment, claims, and utilization management. • Improving member experiences requires more than simplifying processes and communications. It requires trusted, actionable healthcare data. •...

11 Jun Why Health Plans Are Shifting Focus from Data Exchange to Data Intelligence

Posted at 09:34h in Health Payers by Matt Langan 0 Comments

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Top Takeaways • Health plans are increasingly focused on maximizing the value of existing health IT investments. • Interoperability remains important, but organizations now need data that is trusted, usable, and actionable. • Health plans are moving from experimentation to operationalization as AI becomes embedded into workflows such as risk adjustment, claims, and utilization management. • Provider data quality challenges continue to impact operational efficiency, member experience, and reporting accuracy. • Quality, Stars, HEDIS, CAHPS, risk adjustment, and care management...

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

Posted at 09:30h in Health Payers by Matt Langan 0 Comments

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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...

15 Apr CMS Medicare Advantage Star Ratings Overhaul: What It Means for Data, Quality, and Performance

Posted at 09:00h in Health Payers, Medicare Advantage by DesignWorks 0 Comments

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By Mark Coetzer, VP of Business Development at IMAT Solutions Top Takeaways • CMS is shifting Star Ratings toward clinical outcomes, reducing the weight of administrative and process-based measures. • 11 measures are being removed, signaling the end of “box-checking” as a driver of performance. • Data quality and clinical accuracy will now directly impact Star Ratings and reimbursement. • Behavioral health is gaining importance, with new measures like depression screening being introduced. • Plans must improve...

04 Mar Health IT Answers: Why Data Quality Will Decide Who Is Ready for HEDIS 2030

Posted at 09:00h in Health Payers by DesignWorks 0 Comments

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In a recent Health IT Answers guest article, Mark Coetzer, VP of Business Development at IMAT Solutions, explains why data quality is becoming the deciding factor in HEDIS 2030 readiness. As hybrid chart review is phased out and digital reporting becomes mandatory, health plans must strengthen data completeness, normalization, interoperability, and audit defensibility to protect performance outcomes and regulatory compliance. For decades, HEDIS has anchored health plan quality measurement. What is now changing is how it...

18 Feb What Senior Quality Leaders Must Do Now to Prepare for Digital HEDIS

Posted at 09:00h in Health Payers by DesignWorks 0 Comments

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By Mark Coetzer, VP of Business Development at IMAT Solutions As HEDIS becomes fully digital, Senior Quality Leaders at payer and managed care organizations face increased accountability for data accuracy, Star Ratings, CAHPS performance, and NCQA compliance. This post explores how IMAT Intelligence and the IMAT Health Data Quality Assessment help quality leaders strengthen data integrity, reduce audit risk, improve measure performance, and confidently lead Medicaid and Medicare programs into the digital reporting era. Senior Quality Leaders...

04 Feb Meeting the HEDIS 2030 Moment: Why Data Readiness Can No Longer Wait

Posted at 07:19h in Health Payers by DesignWorks 0 Comments

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By Mark Coetzer, VP of Business Development at IMAT Solutions HEDIS is undergoing a fundamental transformation. By 2030, all HEDIS reporting will be fully digital, eliminating traditional hybrid chart review and placing unprecedented demands on data quality, interoperability, and timeliness. This post explains why organizations must act now to prepare for HEDIS 2030, how NCQA’s transition plan accelerates urgency, and how IMAT Intelligence helps health plans and providers build the trusted, audit-ready data foundation required to...

03 Dec Introducing the IMAT Health Data Quality Assessment

Posted at 09:00h in Health Payers by DesignWorks 0 Comments

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By Mark Coetzer, VP of Business Development at IMAT Solutions Healthcare organizations cannot scale analytics or responsibly adopt AI without trusted data. IMAT Solutions’ new Health Data Quality Assessment gives payers and health systems a one-time diagnostic that baselines the accuracy, completeness, and readiness of their data. The assessment identifies gaps, risks, and improvement opportunities so leaders can strengthen performance and prepare for AI driven initiatives with confidence. Every healthcare organization is racing toward better analytics, stronger...

12 Nov How AI Ready Data Helps Payer Analytics Leaders Improve Medical Cost Performance and Network Value

Posted at 06:40h in Health Payers by DesignWorks 0 Comments

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By Mark Coetzer, VP of Business Development at IMAT Solutions Healthcare payer analytics managers are responsible for understanding medical cost drivers, supporting value-based care models, improving provider network performance, and informing financial decisions. Their success depends on accurate, unified, and timely health data. AI ready data allows payers to strengthen forecasting, reduce network leakage, uncover cost savings, improve contract modeling, and support value-based care performance with confidence at scale. Rising Expectations for Payer Analytics Teams Payer analytics leaders...

22 Oct Why AI Ready Data Drives Sustainable Quality Performance for Health Plans

Posted at 20:39h in Health Payers by DesignWorks 0 Comments

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By Mark Coetzer, VP of Business Development at IMAT Solutions Many health plan quality leaders are working to improve HEDIS, CAHPS, Star Ratings, and NCQA scores but struggle with fragmented and incomplete data. True performance starts with accurate and unified health data that can be trusted across reporting, audits, and member experience programs. AI ready data gives payers the foundation they need to close care gaps faster and improve results with confidence at scale. The New Reality...