healthcare data quality Tag

26 Oct Health Data News Roundup: Healthcare AI Adoption Accelerates; ACO Growth Gains Momentum; and Data Sharing Takes Center Stage

Welcome to the Health Data Weekly News Roundup from IMAT Solutions. This week’s healthcare data news explores how organizations are balancing rapid AI adoption with the need for greater trust, oversight and measurable results. From new approaches to AI testing and prior authorization to expanding accountable care and strengthening health data infrastructure, the latest developments highlight the importance of reliable, accessible information in improving healthcare delivery. Building Trust in Healthcare AI Requires Investment in People As healthcare...

Read More

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
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
Trusted healthcare data supporting health plan quality measurement

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

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...

Read More
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

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...

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
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