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Healthcare NLP Blog

State-of-the-Art Natural Language Processing for Clinical and Biomedical Text.

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...

Personalized treatment pathways require data engineering more than better models. See what Roche, MiBA, and Guideline Central built to get there in production. Personalized medicine matches treatment to a patient's...

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...

Twenty-six million adults in the United States have limited English proficiency, and half of them experienced a language barrier when dealing with a healthcare provider in the past three years...

High-Accuracy Clinical Term Mapping to Standard Medical Terminologies (ICD-10, RxNorm, SNOMED, and 90+ vocabularies) with...