IMAT Intelligence Tag

Trustworthy healthcare AI supported by reliable patient data, human oversight and data validation

11 Nov Trustworthy Healthcare AI Starts with Reliable Data

Posted at 14:43h in Hospitals and Clinics by Matt Langan 0 Comments

0 Likes

Top Takeaways • Americans are open to AI in healthcare but want human oversight, particularly when technology influences medical decisions.• Reliable, accurate patient data is essential for building confidence in AI-powered healthcare applications.• Human expertise in data quality assessment and validation helps ensure healthcare information accurately reflects patient records.• IMAT Intelligence combines curated healthcare data, human oversight and validated processes to support trustworthy analytics and AI readiness. Artificial intelligence is creating new opportunities to improve healthcare, from...

Payer-provider data sharing and healthcare interoperability challenges affecting data quality and AI readiness

05 Nov Why Payer-Provider Data Sharing Remains a Barrier to Better Healthcare

Posted at 11:56h in Health Payers by Matt Langan 0 Comments

0 Likes

Top Takeaways • Aetna's latest survey highlights persistent data access challenges, with nearly one-third of providers prioritizing real-time patient information.• Updating patient medical records remains a major administrative burden, cited by 58% of providers who identified administrative burden as a top challenge.• Reliable, standardized healthcare data is essential for improving payer-provider collaboration, care coordination and AI readiness.• IMAT Intelligence helps payers and providers aggregate, normalize and validate healthcare data to improve operational efficiency, support analytics and...

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

Posted at 12:50h in Health Data News Roundup by Matt Langan 0 Comments

0 Likes

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...

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

Posted at 13:05h in Hospitals and Clinics by Matt Langan 0 Comments

0 Likes

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,...

19 Oct Health Data News Roundup: AI Governance Takes Shape; Prior Authorization Reform Advances; and HIEs Support Medicaid Compliance

Posted at 12:52h in Health Data News Roundup by Matt Langan 0 Comments

0 Likes

Welcome to the Health Data Weekly News Roundup from IMAT Solutions. This week’s healthcare data news highlights growing efforts to strengthen AI oversight, streamline prior authorization and advance value-based care. From new governance guidance and federal interoperability requirements to innovative uses of HIE data, healthcare organizations are finding new ways to improve efficiency, reduce administrative burdens and make better use of trusted information. AMA Introduces AI Governance Framework to Guide Clinical Use The American Medical Association has...

14 Oct Healthcare Interoperability Challenges Persist. What Comes Next?

Posted at 14:13h in Hospitals and Clinics by Matt Langan 0 Comments

0 Likes

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...

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

0 Likes

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

0 Likes

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...

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

0 Likes

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

0 Likes

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,...