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An Ontology-Based Architecture to Support Language Variants of Model-Driven Electronic Health Records.
Chelsom, John; Cabrer, Stephanie; Hao, Zikai; Dogar, Naveed; Aden, Ilyas.
Afiliação
  • Chelsom J; Fordham University, USA.
  • Cabrer S; University of Victoria, Canada.
  • Hao Z; Fordham University, USA.
  • Dogar N; University of Victoria, Canada.
  • Aden I; University of Victoria, Canada.
Stud Health Technol Inform ; 310: 139-143, 2024 Jan 25.
Article em En | MEDLINE | ID: mdl-38269781
ABSTRACT
This paper describes the implementation of tools to support multiple language variants of the clinical information models that are used to define a model-driven EHR system. Beyond that, it describes how a complete EHR system can be created with multiple language variants, using the example of an EHR for clinical management of patients in a Fracture Liaison Service. A clinical information model, represented as ontology, was developed in the English language. This model was translated into Spanish and Mandarin, and the modeling tools were refined, on the basis of the experience gained. A workshop was then held, where participants used the EHR tools to create additional language variants in German, French, Portuguese, Arabic, Farsi, Urdu and Somali. The results from the workshop are presented here, with a brief summary of the lessons learned; further work will focus on improving the tools in response to those lessons.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fraturas Ósseas / Registros Eletrônicos de Saúde Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Stud Health Technol Inform / Stud. health technol. inform. / Studies in health technology and informatics (Online) Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fraturas Ósseas / Registros Eletrônicos de Saúde Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Stud Health Technol Inform / Stud. health technol. inform. / Studies in health technology and informatics (Online) Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos