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.
A Step-by-Step Playbook for Digitizing Every Patient Touchpoint How forward-thinking health systems are using healthcare-native AI to connect every clinical and operational workflow, from admission to discharge and beyond. Introduction:...
Healthcare systems worldwide face a growing challenge: rising patient demand, aging populations, and limited human resources. Physician shortages, burnout, and administrative overload threaten care quality, access, and sustainability. Large Language...
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...
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