Quantitative analysis of the comprehensiveness and granularity of biomedical terminology systems.

ABSTRACT: Modern healthcare interoperability demands objective methods for quantitatively evaluating the coverage and granularity of biomedical terminology systems to support evidence-based selection and integration decisions. We introduce novel metrics-structural size (an integrated measure of width and depth), mapping burden ratio (a measure of relative granularity between systems), and content overlap-to quantitatively evaluate the semantic integration potentials of five major terminology systems: SNOMED CT; Logical Observation Identifiers Names and Codes (LOINC); International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM); Gene Ontology (GO); and Current Procedural Terminology. The Unified Medical Language System Metathesaurus was employed to establish semantic eq

SUBMITTER: Chang E 

PROVIDER: S-EPMC12494949 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature