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 from HIMSS26 in Las Vegas.
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 from HIMSS26 in Las Vegas.
A decade after health care dreaded the complexity of ICD-10, the industry now faces a bigger problem: diagnosis codes still aren’t specific enough to safely power AI-driven clinical decision-making.
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.