healthcare data quality Tag

Health IT ROI supported by trusted healthcare data and automation

07 Oct Healthcare Wants More ROI From Health IT. Here’s How to Prove Value Before You Scale.

Posted at 08:53h in Hospitals and Clinics by Matt Langan 0 Comments

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Top Takeaways • Healthcare executives are placing greater emphasis on measurable returns from health IT and AI investments.• Pilots, proofs of concept and initial workflows can help organizations demonstrate value before committing to larger implementations.• Understanding the quality and readiness of healthcare data can help organizations identify risks that could limit the return on technology investments.• Automation and AI can create ROI by reducing the effort required to prepare and deliver trusted data.• New partnership and...

Rural health transformation supported by trusted healthcare data infrastructure

30 Sep Rural Health Transformation Is Moving into Implementation. Now It’s Time to Prove What Works.

Posted at 10:00h in Hospitals and Clinics by Matt Langan 0 Comments

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Top Takeaways • The $50 billion Rural Health Transformation Program has moved from planning to implementation, with all 50 states approved for funding.• States have an opportunity to invest in data infrastructure that supports multiple priorities, including interoperability, telehealth, value-based care, AI and population health.• With limited time and resources, rural healthcare organizations should be able to demonstrate the value of technology investments before committing to large scale implementations.• Proofs of concept, initial workflows and flexible...

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 data quality, AI and HIE trends in the latest health data news

21 Sep Health Data News Roundup: HIEs Take Center Stage at Civitas 2026; Data Quality Challenges Healthcare AI; and Health Plans Improve

Posted at 08:13h 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 the growing role of HIEs and the importance of trusted data as organizations expand their use of AI. From Civitas 2026 and the evolution of HIEs into health intelligence networks to provider data quality, AI bias, health plan performance and Aetna’s approach to AI, healthcare organizations are looking more closely at the data foundations behind innovation and measurable...

HIE trends and healthcare data priorities at Civitas 2026

15 Sep What to Watch at Civitas 2026: HIEs Take on a Bigger Role in Healthcare Transformation

Posted at 14:05h in Hospitals and Clinics by Matt Langan 0 Comments

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Top Takeaways • HIEs are increasingly serving as critical state, regional and national healthcare infrastructure. • Data quality and standardization are becoming more important as HIEs support more sophisticated uses of healthcare data. • The focus is expanding from exchanging information to using connected data to improve care coordination and patient outcomes. • Rural Health Transformation is creating opportunities for HIEs and other organizations to build infrastructure that can support rural communities over the long term. • As the role...

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,...

Trusted healthcare data supporting Rural Health Transformation and rural healthcare organizations

02 Sep Healthcare Business Today: Why Trusted Data Will Define Rural Health Transformation

Posted at 12:43h in Hospitals and Clinics by Matt Langan 0 Comments

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Top Takeaways • The Rural Health Transformation Program creates an opportunity for states to build healthcare data infrastructure that continues delivering value long after federal funding has been spent. • Rural healthcare depends on information moving across hospitals, clinics, specialists, pharmacies, community organizations, and other settings, making trusted and usable data essential to care coordination. • HIEs are well positioned to play a larger role in RHTP by supporting statewide data infrastructure, analytics, quality measurement, population health,...

Healthcare data usability supporting AI, analytics, quality reporting, and digital transformation

12 Aug Healthcare Doesn’t Have a Data Shortage. It Has a Data Usability Problem

Posted at 07:46h in Hospitals and Clinics by Matt Langan 0 Comments

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Top Takeaways • Healthcare organizations have access to enormous volumes of data, but much of it still requires significant work before it can support clinical, operational, and strategic decisions. • Interoperability has improved access to healthcare data, but exchanging information does not automatically make it standardized, trusted, or usable. • Poor data usability creates hidden operational costs through manual reconciliation, duplicate processes, fragmented reporting, and repeated data preparation. • A trusted enterprise data foundation can allow the same...

14 Jul Congress Gives MSSP ACOs More Time. Here’s How to Use It.

Posted at 15:35h in Hospitals and Clinics by Matt Langan 0 Comments

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Top Takeaways • The U.S. House of Representatives has passed bipartisan legislation that would extend quality reporting flexibility for MSSP ACOs through performance year 2029, recognizing that many organizations are not yet ready for fully electronic clinical quality measure (eCQM) reporting. • The extension reflects ongoing challenges with EHR readiness, data quality, and interoperability rather than a delay in the industry's move toward digital quality measurement. • Organizations that use this time to strengthen data quality, standardize clinical...

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...