Real Chemistry and cancer registry teams show how Healthcare NLP extracts entities from clinical notes, maps to SNOMED CT and LOINC, and enables FHIR exchange.
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...
Clinical NLP teams regularly deploy pre-annotation servers across multiple project types: NER for text extraction, Visual NER for document processing, classification models for categorization. Each project type requires compatible pipelines....
Every healthcare AI team eventually faces the same uncomfortable question: Can you prove who accessed what, when, and why? Most can’t. Not cleanly. Not instantly. Not in the way a...
Every day, healthcare organizations face an impossible balancing act. Clinical teams need AI tools to extract insights from unstructured medical records, validate de-identification results, and accelerate annotation workflows. But every...
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