SNOMED CT Extends Grammar For Clinical Expressivity

Researchers at Geneva University Hospitals publish a 2026 methodological study extending SNOMED CT's compositional grammar to capture complex clinical semantics. They modified the SNOMED Machine Readable Concept Model and augmented its grammar, enabling representation of over 119,000 distinct data elements across 13 billion instances and addressing negation, scalars, uncertainty, temporality, and external vocabularies like Pango. This approach advances high-fidelity semantic representation.