Julio Bonis is a data scientist working on Healthcare NLP at John Snow Labs. Julio has broad experience in software development and design of complex data products within the scope of Real World Evidence (RWE) and Natural Language Processing (NLP). He also has substantial clinical and management experience – including entrepreneurship and Medical Affairs. Julio is a medical doctor specialized in Family Medicine (registered GP), has an Executive MBA – IESE, an MSc in Bioinformatics, and an MSc in Epidemiology.
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...
Risk adjustment models are only as complete as the codes they can see. A physician note describing "poorly controlled diabetes with early nephropathy and peripheral neuropathy, complicated by depression and...
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...
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