A health terminological system for inherited retinal diseases: Content coverage evaluation and a proposed classification

PurposeTo present a classification of inherited retinal diseases (IRDs) and evaluate its content coverage in comparison with common standard terminology systems. MethodsIn this comparative cross-sectional study, a panel of subject matter experts annotated a list of IRDs based on a comprehensive review of the literature. Then, they leveraged clinical terminologies from various reference sets including Unified Medical Language System (UMLS), Online Mendelian Inheritance in Man (OMIM), International Classification of Diseases (ICD-11), Systematized Nomenclature of Medicine (SNOMED-CT) and Orphanet Rare Disease Ontology (ORDO). ResultsInitially, we generated a hierarchical classification of 62 IRD diagnosis concepts in six categories. Subsequently, the classification was extended to 164 IRD diagnoses after adding concepts from various standard terminologies. Finally, 158 concepts were selected to be classified into six categories and genetic subtypes of 412 cases were added to the related concepts. UMLS has the greatest content coverage of 90.51% followed respectively by SNOMED-CT (83.54%), ORDO (81.01%), OMIM (60.76%), and ICD-11 (60.13%). There were 53 IRD concepts (33.54%) that were covered by all five investigated systems. However, 2.53% of the IRD concepts in our classification were not covered by any of the standard terminologies. ConclusionsThis comprehensive classification system was established to organize IRD diseases based on phenotypic and genotypic specifications. It could potentially be used for IRD clinical documentation purposes and could also be considered a preliminary step forward to developing a more robust standard ontology for IRDs or updating available standard terminologies. In comparison, the greatest content coverage of our proposed classification was related to the UMLS Metathesaurus.

Automated summary

The purpose of this study was to present a classification of inherited retinal diseases (IRDs) and compare its content coverage with common standard terminology systems. A panel of experts annotated a list of IRDs based on a comprehensive literature review and leveraged clinical terminologies from various reference sets. The classification system can be used for IRD clinical documentation and is a preliminary step toward developing a more robust standard ontology for IRDs or updating available standard terminologies. The content coverage of the proposed classification was highest for UMLS.