healthcare analytics Tag

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

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...

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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

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...

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

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...

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

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...

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18 Jun Why Improving Member Satisfaction Starts with Better Healthcare Data

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. •...

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

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...

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