RAG quality is decided before a query ever runs. See why chunking, terminology normalization, and de-identification determine whether clinical RAG retrieval is reliable. Retrieval-augmented generation lets a clinical LLM...
HEDIS and Medicare Advantage Star Ratings both depend on evidence that often lives only in unstructured clinical text: discharge summaries, referral letters, physician progress notes. Structured claims data alone misses...
Medical code resolution maps an entity extracted from clinical text to a concept in a standard terminology. For example, "type 2 diabetes mellitus without complications" maps to E11.9 in ICD-10-CM....
Large language models (LLMs) have captured the spotlight with their ability to generate fluent, contextual responses across a wide range of medical use cases. But beneath the hype, a quieter...
Institution-scale medical reasoning: what the field is actually learning There is a version of the institution-scale clinical reasoning story that is easy to tell: AI systems that continuously reason over...
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