BACKGROUND The Unified Medical Language System (UMLS) is one of the largest biomedical terminological systems, with over 2.5 million concepts in its Metathesaurus repository. The UMLS's Semantic Network (SN) with its collection of 133 high-level semantic types serves as an abstraction layer on top of the Metathesaurus. In particular, the SN elaborates an aspect of the Metathesaurus's concepts v...

Pathology information systems have been using SNOMED II for many years, and in most cases, they are in a migration process to SNOMED CT. COST Action IC0604 (EURO-TELEPATH) has considered terminology normalization one of its strategic objectives. This paper reviews the use of SNOMED CT in healthcare, with a special focus in pathology. Nowadays, SNOMED CT is mainly used for concept search and cod...

Healthcare information is composed of many types of varying and heterogeneous data. Semantic interoperability in healthcare is especially important when all these different types of data need to interact. Presented in this paper is a solution to interoperability in healthcare based on a standards-based middleware software architecture used in enterprise solutions. This architecture has been tra...

Inconsistent use of SNOMED CT concepts may reduce comparability of information in health information systems. Terminology implementation should be approached by common strategies for navigating and selecting proper concepts. This study aims to explore ways of illustrating common pathways and ancestors of particular sets of concepts, to support consistent use of SNOMED CT and also assess potenti...

This article discusses the importance of electronic health records (EHRs) in anesthesiology, emphasizing the critical role of standardized clinical terminology in the EHR's structure. SNOMED Clinical Terms (SNOMED CT), developed by SNOMED International, a division of the College of American Pathologists, in collaboration with the United Kingdom's National Health Service, offers a controlled hea...

The identification and classification of semantic information in medical narratives is critical for various research applications such as question-answering systems, statistical analysis, etc. Our contribution is a novel semantic tagger named SnoMedTagger to tag complex semantic information (paraphrases of concepts, abbreviations of concepts, complex multiword concepts) with 16 SNOMED CT semant...

OBJECTIVES The purpose of this study is to explore possibility of information sharing between the medical and nursing domains. METHODS Narrative medical records of 281 hospitalization days of 36 gastrectomy patients were decomposed into single-meaning statements. These single-meaning statements were combined into unique statements by removing semantically redundant statements. Concepts from t...