healthcare analytics Tag

Trusted healthcare data supporting health plan quality measurement

22 Sep Health Plan Quality Is Improving. Trusted Data Helps Make It Measurable.

Posted at 15:11h in Health Payers by Matt Langan 0 Comments

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Top Takeaways • More health plans achieved NCQA’s highest rating in 2026, with 18 plans earning 5 stars compared with 11 last year.• Measuring quality improvement depends on having clinical data that is accurate, complete and usable across increasingly complex healthcare environments.• As quality measurement becomes more digital, health plans need stronger data foundations that can support reporting, analytics and ongoing performance improvement.• NCQA Data Aggregator Validation provides an important framework for establishing confidence in aggregated...

Healthcare AI ROI and AI ready healthcare data

10 Sep Healthcare Is Scaling AI. Can It Prove the ROI?

Posted at 08:48h in Hospitals and Clinics by Matt Langan 0 Comments

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Top Takeaways • Healthcare organizations are scaling AI faster than many can consistently measure its financial impact. • Deloitte research cited by Becker’s found that 44 percent of surveyed healthcare organizations were AI “scalers,” but only 18 percent of those organizations had mature capabilities for consistently attributing AI investments to revenue growth or cost savings. • Measuring AI ROI requires reliable baselines, consistent performance data, and clear metrics for determining whether AI is actually improving outcomes. • Fragmented, incomplete,...

Healthcare AI transparency, rural health transformation, interoperability and health data news

31 Aug Health Data News Roundup: Americans Want AI Transparency; Some Hospitals Not Using RHTP Funding, Interop Challenges

Posted at 13:56h in Health Data News Roundup by Matt Langan 0 Comments

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Welcome to the Health Data Weekly News Roundup from IMAT Solutions. This week's healthcare data news explores the growing expectations surrounding AI, interoperability, and the ability to turn healthcare data into action. From calls for greater AI transparency and questions about physician productivity to rural health funding challenges and the next phase of interoperability, healthcare organizations are navigating how technology, data, and people come together to deliver meaningful results. Why Are Some Rural Hospitals Saying No...

IMAT Solutions showcasing HIE data quality and the Health Data Quality Assessment at Civitas 2026

26 Aug IMAT to Showcase Health Data Quality for HIEs at Civitas 2026

Posted at 13:13h in Hospitals and Clinics by Matt Langan 0 Comments

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Top Takeaways • IMAT Solutions will be a Silver Sponsor of the 2026 Civitas Annual Conference, September 22–24 in Arlington, Virginia.• HIEs have an opportunity to expand their role beyond data exchange by providing trusted data infrastructure for population health, quality reporting, analytics, AI, value-based care, and statewide healthcare initiatives.• Expanding those services requires HIEs to understand the quality, completeness, consistency, and usability of the data moving through their networks.• The IMAT Health Data Quality Assessment...

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

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

Posted at 10:07h in Hospitals and Clinics by Matt Langan 0 Comments

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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...

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

Posted at 09:46h in Health Payers, Hospitals and Clinics by Matt Langan 0 Comments

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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...

29 Jun Health Data News Roundup: TEFCA and Data Standardization; dQM Readiness Costs; and AI Needs Human Connection

Posted at 17:12h in Health Data News Roundup by Matt Langan 0 Comments

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Welcome to the Health Data Weekly News Roundup from IMAT Solutions. This week's healthcare data news highlights how healthcare organizations are preparing for the next phase of digital transformation through stronger interoperability, data standardization, responsible AI adoption, and digital quality measurement. As new technologies and reporting requirements continue to evolve, organizations are increasingly focused on building trusted data foundations that support better decision making, operational efficiency, and improved patient outcomes. Data Standardization Key to Health Tech...

23 Jun Health IT Answers: Why Delaying dQM Readiness Could Cost More Than Preparing

Posted at 15:13h in Hospitals and Clinics by Matt Langan 0 Comments

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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...

22 Jun Health Data News Roundup: Healthcare Needs to Curb AI Spending; Data and Payer Member Satisfaction; and Payers Blamed for High Costs

Posted at 13:18h in Health Data News Roundup by Matt Langan 0 Comments

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Welcome to the Health Data Weekly News Roundup from IMAT Solutions. This week's healthcare data news highlights growing efforts to balance AI innovation with measurable outcomes, strengthen healthcare interoperability, improve member experiences, and address rising healthcare costs. Across the healthcare ecosystem, organizations continue to focus on building trusted data foundations that support better decision making, operational efficiency, and patient and member outcomes. As Patients Rely on AI for Medical Advice, Will Bots Replace Care? Two surveys show...

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. •...