Publication: A model-driven approach for representing clinical archetypes for Semantic Web environments
Authors
Martínez Costa, Catalina ; Menárguez Tortosa, Marcos ; Fernández Breis, Jesualdo Tomás ; Maldonado, Jose Alberto
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Publisher
Elsevier
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DOI
https://doi.org/10.1016/j.jbi.2008.05.005
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info:eu-repo/semantics/article
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
Abstract
The 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.
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Citation
Journal of Biomedical Informatics, 42 (1):150-164, 2009, ISSN 1532-0464
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Este ítem está sujeto a una licencia Creative Commons. http://creativecommons.org/licenses/by-nc/4.0/