Combining lexical and structure-based methods to align clinical archetypes to SNOMED CT
نویسندگان
چکیده
Semantic interoperability of health systems will be only possible if clinical data models, such as OpenEHR Archetypes, are agreed by experts and aligned to standard terminology systems. In this paper we present an automated approach combining mapping algorithms to align clinical archetype terms to SNOMED CT concepts.
منابع مشابه
A Study of Semantic Proximity between Archetype Terms Based on SNOMED CT Relationships
The OpenEHR archetypes have been suggested as a standard for detailing data models of electronic healthcare records, as a means of achieving interoperability between clinical systems. But, mapping terms of these clinical data models to a terminology system, such as SNOMED CT, is a crucial step to provide the required interoperability. Through this study, we aim to understand better how archetyp...
متن کاملبررسی تطبیقی سیر تکامل و ساختار سیستم های نامگذاری نظام یافته پزشکی SNOMED در کشورهای آمریکا ، انگلستان و استرالیا 86-85
Background and Aim: Systematized Nomenclature of Medicine systems are the important supportive for electronic health record in registration and retrieval of data. Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT) is the most comprehensive language and then the consistency of exchanged data across health care providers and finally the high effectiveness of health care. Material...
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BACKGROUND The Archetype formalism and the associated Archetype Definition Language have been proposed as an ISO standard for specifying models of components of electronic healthcare records as a means of achieving interoperability between clinical systems. This paper presents an archetype editor with support for manual or semi-automatic creation of bindings between archetypes and terminology s...
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OBJECTIVE To explore semantic search to improve management and user navigation in clinical archetype repositories. METHODS In order to support semantic searches across archetypes, an automated method based on SNOMED CT modularization is implemented to transform clinical archetypes into SNOMED CT extracts. Concurrently, query terms are converted into SNOMED CT concepts using the search engine ...
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