Medical Economics: Why practices need a stronger data foundation before relying on AI tools
David Lareau writes in Medical Economics that AI tools need a strong clinical data foundation for safety, consistency, and value.
David Lareau writes in Medical Economics that AI tools need a strong clinical data foundation for safety, consistency, and value.
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
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
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
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
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
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
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
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
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
AI scribes sound confident even when wrong. CDI experts break down hallucinations vs. context errors — and how to catch what review misses.
Ambient AI codes for the payer, not the patient — and that gap could cost patients access to precision therapies.
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