IMAT Solutions Blog

21 Oct As CMS Pushes ACO Growth, Healthcare Data Takes Center Stage

As CMS calls for broader participation in accountable care organizations, the ability to integrate and use reliable clinical and claims data will play an increasingly important role in improving quality, managing costs and demonstrating value. Top Takeaways • CMS is calling for broader ACO participation as Medicare continues its shift toward value-based care.• The Medicare Shared Savings Program includes 511 ACOs serving 12.6 million beneficiaries in 2026.• Reliable clinical and claims data is essential for care coordination,...

Read More

14 Oct Healthcare Interoperability Challenges Persist. What Comes Next?

Despite widespread adoption of electronic health records and progress in nationwide data exchange, healthcare interoperability challenges continue to limit how effectively organizations can access and use patient information. A new congressional report highlights why data quality, standardization and usability remain essential. Top Takeaways • A new Congressional Research Service report identifies four persistent barriers to healthcare interoperability.• healthcare interoperability. • Widespread EHR adoption has not eliminated challenges involving data exchange, accessibility and usability.• Uneven participation among healthcare organizations...

Read More
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.

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...

Read More
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.

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...

Read More
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

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...

Read More
Healthcare AI ROI and AI ready healthcare data

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

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,...

Read More
Trusted healthcare data supporting Rural Health Transformation and rural healthcare organizations

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

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,...

Read More
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...

Read More
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...

Read More
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

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...

Read More