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.
FHIR defines standardized resources, including Patient, Observation, Condition, Medication, Encounter, and DiagnosticReport that enable health data exchange across electronic health records, registries, analytics platforms, and artificial intelligence services. By representing...
When Lunar Analytics built their agentic artificial intelligence platform for pharmacy benefits management, the technical challenge extended beyond clinical decision support recommendations. Their system needed to execute workflows autonomously: automated...
Why analyze patient journey data? Patient journey data offers a holistic view of an individual’s healthcare experience, connecting clinical, behavioral, and operational touchpoints across time. When analyzed with AI, this...
What is a medical reasoning engine and how does it differ from search? Medical reasoning engines, powered by advanced large language models (LLMs), represent a new generation of clinical decision...
Oncology has always depended on multidisciplinary tumor boards (MTBs) to interpret complex, multimodal data, such as pathology reports, radiology findings, genomic profiles, prior treatments, patient history, and synthesize this information...
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