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A model-driven approach for representing clinical archetypes for Semantic Web environments

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dc.contributor.authorMartínez Costa, Catalina
dc.contributor.authorMenárguez Tortosa, Marcos
dc.contributor.authorFernández Breis, Jesualdo Tomás
dc.contributor.authorMaldonado, Jose Alberto
dc.contributor.departmentInformática y Sistemas
dc.date.accessioned2024-02-09T11:11:44Z
dc.date.available2024-02-09T11:11:44Z
dc.date.issued2009-02
dc.description©2009. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is the Accepted, version of a Published Work that appeared in final form in Journal of Biomedical Informatics. To access the final edited and published work see https://doi.org/10.1016/j.jbi.2008.05.005
dc.description.abstractThe life-long clinical information of any person supported by electronic means configures his Electronic Health Record (EHR). This information is usually distributed among several independent and heterogeneous systems that may be syntactically or semantically incompatible. There are currently different standards for representing and exchanging EHR information among different systems. In advanced EHR approaches, clinical information is represented by means of archetypes. Most of these approaches use the Archetype Definition Language (ADL) to specify archetypes. However, ADL has some drawbacks when attempting to perform semantic activities in Semantic Web environments. In this work, Semantic Web technologies are used to specify clinical archetypes for advanced EHR architectures. The advantages of using the Ontology Web Language (OWL) instead of ADL are described and discussed in this work. Moreover, a solution combining Semantic Web and Model-driven Engineering technologies is proposed to transform ADL into OWL for the CEN EN13606 EHR architecture.es
dc.formatapplication/pdfes
dc.format.extent14es
dc.identifier.citationJournal of Biomedical Informatics, 42 (1):150-164, 2009, ISSN 1532-0464
dc.identifier.doihttps://doi.org/10.1016/j.jbi.2008.05.005
dc.identifier.issnPrint: 1532-0464
dc.identifier.urihttp://hdl.handle.net/10201/139086
dc.languageenges
dc.publisherElsevieres
dc.relationSpanish Ministry for Science and Education through the projects TSI2007-66575-C02-01, TSI2007-66575-C02-02, FIT-350300-2007-31 and to the Séneca Foundation through the project 05738/PI/07es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S153204640800066X?via%3Dihubes
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rightsAtribución-NoComercial 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectBiomedical informaticses
dc.subjectElectronic Healthcare Records
dc.subjectArchetypes
dc.subjectSemantic Web
dc.subjectOntology
dc.subjectModel-driven Engineering
dc.titleA model-driven approach for representing clinical archetypes for Semantic Web environmentses
dc.typeinfo:eu-repo/semantics/articlees
dspace.entity.typePublicationes
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