CEO David Lareau makes the case for deterministic AI as essential healthcare infrastructure, arguing that without a structured, validated clinical knowledge layer, AI-enabled clinical tools produce outputs too unreliable to …Continue
David Lareau, Medicomp Systems CEO, explains that deterministic, rules-based AI models can validate the probabilistic, often inconsistent outputs that LLMs deliver to avoid errors in clinical documentation.
David Lareau shares how Medicomp’s panel of clinicians creates evidence-based guardrails to validate ambient AI outputs and prevent incorrect data from reaching patient records. Watch the interview on HIMSS TV …Continue
David Lareau joins HIMSS TV from the 2026 conference to discuss validation of ambient AI documentation to create usable data for clinical decision-making.
Dr. Jay Anders talks about responsible AI in healthcare on The Tech Glow Up podcast live from ViVE 2026.
James Aita explores how AI promises to simplify healthcare IT development, but hidden costs tell a different story. Learn why proven clinical intelligence foundations outperform building from scratch.
In this episode of Tell Me Where IT Hurts, Dr. Jay Anders welcomes John Lynn, founder and chief editor of Healthcare Scene, which includes Healthcare IT Today and Swaay.Health communities, …Continue
Dr. Jay Anders sits down with Grace Vinton at ViVE 2026 to talk about the importance of diagnostically connected data, the challenge of interoperability for women’s health, and getting the …Continue
Dr. Jay Anders offers a candid perspective on the reliability of AI in healthcare and importance of responsible implementation.
David Lareau writes in Health IT Answers that suspecting as a clinical support function can help providers confirm whether conditions are present, relevant, and managed.
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
