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Archetype Modeling Methodology

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Archetype Modeling Methodology

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dc.contributor.author Moner Cano, David es_ES
dc.contributor.author Maldonado Segura, José Alberto es_ES
dc.contributor.author Robles Viejo, Montserrat es_ES
dc.date.accessioned 2019-07-25T20:01:18Z
dc.date.available 2019-07-25T20:01:18Z
dc.date.issued 2018 es_ES
dc.identifier.issn 1532-0464 es_ES
dc.identifier.uri http://hdl.handle.net/10251/124220
dc.description.abstract [EN] Clinical Information Models (CIMs) expressed as archetypes play an essential role in the design and development of current Electronic Health Record (EHR) information structures. Although there exist many experiences about using archetypes in the literature, a comprehensive and formal methodology for archetype modeling does not exist. Having a modeling methodology is essential to develop quality archetypes, in order to guide the development of EHR systems and to allow the semantic interoperability of health data. In this work, an archetype modeling methodology is proposed. This paper describes its phases, the inputs and outputs of each phase, and the involved participants and tools. It also includes the description of the possible strategies to organize the modeling process. The proposed methodology is inspired by existing best practices of CIMs, software and ontology development. The methodology has been applied and evaluated in regional and national EHR projects. The application of the methodology provided useful feedback and improvements, and confirmed its advantages. The conclusion of this work is that having a formal methodology for archetype development facilitates the definition and adoption of interoperable archetypes, improves their quality, and facilitates their reuse among different information systems and EHR projects. Moreover, the proposed methodology can be also a reference for CIMs development using any other formalism. es_ES
dc.description.sponsorship This work was partially funded by grant DI-14-06564 (Doctorados Industriales) of the Ministerio de Economia y Competitividad of Spain. The authors would also thank the participants of all R&D projects that have served to evaluate and improve the presented methodology. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Journal of Biomedical Informatics es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Archetype es_ES
dc.subject Methodology es_ES
dc.subject Dual model es_ES
dc.subject ISO 13606 es_ES
dc.subject Openehr es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.title Archetype Modeling Methodology es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.jbi.2018.02.003 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//DI-14-06564/ES/DI-14-06564/
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/692023/EU/Linking excellence in biomedical knowledge and computational intelligence research for personalized management of CVD within PHC/
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Aplicaciones de las Tecnologías de la Información - Institut Universitari d'Aplicacions de les Tecnologies de la Informació es_ES
dc.description.bibliographicCitation Moner Cano, D.; Maldonado Segura, JA.; Robles Viejo, M. (2018). Archetype Modeling Methodology. Journal of Biomedical Informatics. 79:71-81. https://doi.org/10.1016/j.jbi.2018.02.003 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1016/j.jbi.2018.02.003 es_ES
dc.description.upvformatpinicio 71 es_ES
dc.description.upvformatpfin 81 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 79 es_ES
dc.identifier.pmid 29454107
dc.relation.pasarela S\354019 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad


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