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Medical Economics: Why practices need a stronger data foundation before relying on AI tools

January 20, 2026

By David Lareau

David Lareau writes in Medical Economics that AI tools need a strong clinical data foundation for safety, consistency, and value.

Healthcare IT Today: Healthcare Data – 2026 Health IT Predictions

January 16, 2026

By Dr. Jay Anders

Dr. Jay Anders shares his thoughts on how AI will succeed in clinical settings: Throwing large language models and ambient listening tools at clinical workflows will not solve healthcare’s biggest …Continue

PSQH: What Does ChatGPT Health Mean for Healthcare?

January 15, 2026

By Dr. Jay Anders

Dr. Jay Anders comments on the launch of ChatGPT Health: ChatGPT has now entered the health data exchange arena. OpenAI states that the information is protected; however, there is no …Continue

Programming Insider: Why Generic AI Can’t Process Medical Records

January 13, 2026

By Dr. Jay Anders

Chief Medical Officer Dr. Jay Anders is quoted in Programming Insider: “Even if these systems are right 80% of the time, that still means they’re wrong 20% of the time. …Continue

Healthcare IT Today: Healthcare Interoperability – 2026 Health IT Predictions

January 8, 2026

By David Lareau

CEO David Lareau shares his 2026 interoperability predictions: The next wave of health AI adopted in 2026 will focus less on exploration and more on collaboration. The Model Context Protocol …Continue

“Tell Me Where IT Hurts” Podcast: Amy Gleason, U.S. DOGE Service and CMS

January 7, 2026

By Dr. Jay Anders

In this episode of Tell Me Where IT Hurts, Dr. Jay Anders welcomes back Amy Gleason, a longtime leader at the intersection of healthcare policy, technology, and interoperability. Currently serving …Continue

Preparing for the New Era of HCC Risk Adjustment

January 6, 2026

By Dr. Jay Anders

The Medicare Advantage landscape is quickly shifting. Enrollment in Medicare Advantage keeps rising, reaching 32.8 million beneficiaries, or about 54% of the eligible population, accounting for $462 billion in healthcare …Continue

Chief Healthcare Executive: AI in health care: 26 leaders offer predictions for 2026

January 2, 2026

By David Lareau

David Lareau offers 2026 predictions for AI in healthcare: “As more organizations scale large language models across enterprise systems in 2026, they must evaluate both financial and operational implications. Token-based …Continue

Healthcare IT News: How health systems can prepare for the next phase of AI adoption

December 26, 2025

By David Lareau

David Lareau offers insights on how health systems can prepare for AI adoption in 2026, including adopting MCP, improving clinical documentation for reimbursement and outcomes, and leveraging smaller, domain-specific AI …Continue

Physicians Practice: Business of medicine predictions for 2026

December 11, 2025

By Dr. Jay Anders

Dr. Jay Anders shares his thoughts on the strategic advantage of clinical data in Physicians Practice: “Medical practices are realizing that their abundance of clinical data can more often be …Continue

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Clinical Lens

Today’s healthcare problem isn’t a lack of data; it’s a lack of usable data. Clinical Lens identifies and interprets disorganized, complex arrays of medical data and transforms that data into actionable information and clinical insights – all within the physician’s workflow.

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  • For The Record: CDI’s Battle Against AI Hallucinations, Context Errors

    AI scribes sound confident even when wrong. CDI experts break down hallucinations vs. context errors — and how to catch what review misses.

  • Medical Economics: Ambient AI is coding for payers, not patients

    Ambient AI codes for the payer, not the patient — and that gap could cost patients access to precision therapies.

  • A Billing Code Pays the Claim. A Diagnosis Treats the Patient.

    Key Insights The clinical context gap is the difference between a billing code chosen to process a claim and the structured clinical diagnosis a physician needs to treat a patient …Continue

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