Objective: To discuss recent developments in clinical terminologies. SNOMED CT
(Systematized Nomenclature of Medicine Clinical Terms) is the world's largest clinical …

Objectives: The fields of health terminology, classification, ontology, and related information
models have evolved dramatically over the past 25 years. Our objective was to review …

Background: Structured information within patient medical records represents a largely
untapped treasure trove of research data. In the United States, privacy issues …

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 …

With the proliferation of digital communication in healthcare, the reuse of laboratory test data
entails valuable insights into clinical and scientific issues, basically enabled by semantic …

Background: Formal definitions allow selecting terms (eg, identifying all terms related to
“Infectious disease” using the query “has causative agent organism”) and terminological …

Background: Manual map** of laboratory data to Logical Observation Identifiers Names
and Codes (LOINC) requires a major effort. Application of the LOINC map** assistant …

To complete large-scale clinical research, organizations must share data. Because
institutional database schemas are inherently heterogeneous, they need a standard …

Objective Our study consists in aligning the interface terminology of the Bordeaux university
hospital (TLAB) to the Logical Observation Identifiers Names and Codes (LOINC). The …

Biomedical terminologies and ontologies are enabling resources for clinical decision
support systems and data integration systems for translational research and health analytics …