This paper describes several approaches to the expression and coding of clinical concepts as composites of elementary entities, and describes an approach based on SNOMED RT that may permit further convergence of clinical terminology efforts. We explain the shortcomings of previous approaches to compositional concept representation, as well as the reasons for SNOMED's current approach, which ado...

Clinically relevant concepts of specialized clinical domains may not yet have been represented in SNOMED CT(R). The July 2006 release was examined with CliniClue browser to determine whether 881 terms for the clinical care of the newborn infant are represented in SNOMED CT. There was complete representation for 86.4% of terms drawn from the categories of diagnosis, intervention, drug or observa...

This paper describes the steps followed in the creation of a local Interface Terminology to SNOMED CT (as reference terminology) with a strong focus on user acceptability. The resulting list of terms is used for clinical data input by physicians and nurses at the Hospital Italiano in Buenos Aires, Argentina. Description includes data model, mappings to SNOMED CT and classifications, subsets def...

OBJECTIVE To explore link mining approaches over transitive relationship paths in the Unified Medical Language System (UMLS). The goal is to classify relevant and 'interesting' cross-terminology links/paths for integration of Electronic Health Records (EHRs) and information resources. METHODS We present approaches for using the link semantics as learning features, sampling the UMLS to create ...

Desiderata for interface terminologies (IT), designed to support interactions between humans and structured medical information, differ from desiderata for reference terminologies (RT). Terminology experts have recommended that IT be mapped to RT. The interface terminology of the Georges Pompidou European Hospital (GPEH-IT) contains more than 5,000 concepts, sometimes linked to ICD-10 but not y...

OBJECTIVES The aim of the study was to develop a metadata and ontology-based health information search engine ensuring semantic interoperability to collect and provide health information using different application programs. METHODS Health information metadata ontology was developed using a distributed semantic Web content publishing model based on vocabularies used to index the contents gene...

Methods: In this paper, we propose a novel context-enhanced disease prediction approach based on leveraging semantic and contextual medical entity relations. Patient signs and symptoms are first mapped to SNOMED-CT concepts, which compose a feature space for disease prediction. Our major contributions in this paper consist of expanding the feature space using semantic and contextual concept rel...

The Systematized Nomenclature of Medicine – Clinical Terms (SNOMED CT) is a terminological resource designed to support electronic applications in health and medicine. Its design has evolved over a period of more than thirty years, and continues to evolve. Recently several authors working on formal ontological theory have observed that applying certain principles and constraints to terminology ...

This work describes a hysteroscopy surgery management application that was designed based on the medical information standard SNOMED. We describe how the application fulfils the needs of this procedure and the way in which existing handwritten medical information is effectively transmitted to the application's database.

BACKGROUND The Systematized Nomenclature of Medicine--Clinical Terms (SNOMED CT) is officially released in English and Spanish. In the Basque Autonomous Community two languages, Spanish and Basque, are official. The first attempt to semi-automatically translate the SNOMED CT terminology content to Basque, a less resourced language is presented in this paper. METHODS A translation algorithm th...