Author: Matt Langan

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

11 Nov Trustworthy Healthcare AI Starts with Reliable Data

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...

Read More
Healthcare AI and data sharing developments involving patient records, data quality and interoperability

09 Nov Health Data News Roundup: Healthcare AI Gains Momentum; Data Reliability Takes Focus; and Health Data Sharing Expands

Welcome to the Health Data Weekly News Roundup from IMAT Solutions. This week's healthcare news highlights the growing role of AI, the importance of reliable patient data and new efforts to improve information sharing. From AI-powered access to medical records and evolving payer strategies to state-level data collaboration and changes to ACO incentives, these developments reflect the industry's continued focus on making healthcare data more accessible, reliable and useful. Americans Support Healthcare AI but Want Human...

Read More
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

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...

Read More

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

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

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...

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
Healthcare AI and interoperability trends shaping data exchange, privacy and patient care

12 Oct Health Data News Roundup: Healthcare AI Faces Greater Scrutiny; Interoperability Challenges Persist; and HIEs Expand Access to Care Data

Welcome to the Health Data Weekly News Roundup from IMAT Solutions. This week’s healthcare data news highlights the opportunities and challenges emerging as organizations expand their use of AI and work to improve interoperability. From new approaches to personalized care and more efficient workflows to persistent data exchange barriers, AI oversight and growing privacy concerns, healthcare organizations are balancing innovation with the need for trusted, accessible and actionable data. AI Fuels Growth of Healthcare Data Economy...

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

05 Oct Health Data News Roundup: Healthcare IT Faces the Value Test; Interoperability Evolves; and AI Moves Into Patient Care

Welcome to the Health Data Weekly News Roundup from IMAT Solutions. This week’s healthcare data news reflects a growing focus on getting more measurable value from technology and data investments. From rising expectations for health IT returns and the shift from data exchange to data utility to AI enabled cancer care and rural health transformation, healthcare organizations are looking for ways to turn technology investments into meaningful improvements in care and performance. Medicare Advantage Insurers Reduce...

Read More