API Catalog

Context-Aware Extraction (CAE) leverages clinical NLP to identify clinically relevant problems and conditions within unstructured clinical notes. Using contextual understanding and terminology normalization, CAE maps extracted concepts to clinician-friendly IMO terms and standardized clinical vocabularies, enabling structured, computable clinical data from free-text documentation.

The De-Identification API provides capabilities to identify and obfuscate Protected Health Information (PHI) in unstructured clinical text. It exposes a two-step flow: a PHI Identification endpoint that extracts PHI entities using IMO's Named Entity Recognition models, and a PHI Obfuscation endpoint that redacts or replaces those entities according to a configurable per-entity policy. Together these endpoints support HIPAA Safe Harbor de-identification workflows.

The Clinical Comprehensive Pipeline API uses natural language processing (NLP) models to convert raw clinical notes into a computable dataset of entities resolved to standardized and coded terms.