Medical Systematized Nomenclature in Development Process of 11th Revision of International Classification of Diseases

Today, with increase in the volume of machine-oriented medical data, the role of interoperability and integrity has become clear. The goal of this research was to investigate the methods of integrating of Systematized Nomenclature of Medicine-Clinical Terms (SNOMED-CT) in the development process of International Classification of Diseases-11 (ICD-11). This study was a narrative review where electronic databases (PubMed, ScienceDirect) and Google Scholar search engine were used to search using predefined combined terms of "ICD-11 SNOMED", "Mapping Alignment Harmonization". Studies were focused on five categories including basic useful concepts for ontology, the interpretation of the code in a situation rather than interpretation of clinical conditions, situation, common ontology, alignment method, and semantic rules. The results of this study showed the differences between the ontology-based terminology and the classification, making mapping challenging. Meanwhile, Semantic Web techniques provide advanced solutions for the matching and integration of heterogeneous data.