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.
Why radiology AI adoption stalls - and what health systems that scaled it did differently By 2055, US imaging demand will rise 16.9%–26.9% above 2023 levels, while the radiologist workforce...
The AI-Ready Hospital: Architecture, Culture, Workflows, and Staffing for the Next Decade An AI-ready hospital is a health system whose data infrastructure, governance, clinical workflows, and staffing are built to...
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...
When Ohio State University built their Medical LLM infrastructure to process over 200 million clinical notes, the technical challenges extended far beyond preventing hallucinations. Their system required unified data ingestion...
The RAG ingestion problem In real-world RAG systems, the quality of the final answer is constrained by the quality of the indexed representation. If the ingestion layer fails to capture...
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