healthcare data quality Tag

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

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...

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12 Jan Health Data News Roundup: OpenAI Launches ChatGPT Health; Payers Being Rewired for AI; and AI-Ready Data

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. OpenAI Launches ChatGPT Health to Connect Data from Health...

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08 Dec Health Data News Roundup: Can AI Rescue Healthcare; Human-AI Teaming Successes; and Overhauling Star Ratings

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. Can AI Rescue U.S. Healthcare from a Gathering Storm? A...

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03 Dec Introducing the IMAT Health Data Quality Assessment

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...

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