Automated ICD-10, CPT, LOINC, and SNOMED mapping breaks on negation, timing, and family context. See the technical framework and production evidence behind it. [caption id="attachment_113423" align="aligncenter" width="2560"] Entity recognition alone...
LLMs write fluent clinical text but don't reliably normalize or verify it. See the evidence for why knowledge graphs remain essential to clinical AI. [caption id="attachment_113412" align="aligncenter" width="1170"] Terminology models...
HEDIS isn't being retired, but its hybrid data-collection method is. See what digital quality measures and ECDS reporting require from clinical data infrastructure through 2030. [caption id="attachment_113403" align="aligncenter" width="1170"] Chart...
A clinical NLP pipeline that reaches 96% F1 in validation can still underperform against live hospital data, and the reason rarely traces back to the model. It traces back to...
Every framework evaluation for clinical NLP starts with an accuracy question: how well does it extract entities, detect PHI, or classify a document? That question matters, but it is the...
Demos
See More