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Clinical information modeling processes for semantic interoperability of electronic health records: systematic review and inductive analysis

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Clinical information modeling processes for semantic interoperability of electronic health records: systematic review and inductive analysis

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dc.contributor.author Moreno-Conde, Alberto es_ES
dc.contributor.author Moner Cano, David es_ES
dc.contributor.author Da Cruz, Wellington Dimas es_ES
dc.contributor.author Santos, Marcelo R. es_ES
dc.contributor.author Maldonado Segura, José Alberto es_ES
dc.contributor.author Robles Viejo, Montserrat es_ES
dc.contributor.author Kalra, Dipak es_ES
dc.date.accessioned 2016-06-01T08:08:44Z
dc.date.available 2016-06-01T08:08:44Z
dc.date.issued 2015-07
dc.identifier.issn 1067-5027
dc.identifier.uri http://hdl.handle.net/10251/65033
dc.description This is a pre-copyedited, author-produced PDF of an article accepted for publication in Journal of the American Medical Informatics Association following peer review. The version of record is available online at: http://dx.doi.org/10.1093/jamia/ocv008 es_ES
dc.description.abstract [EN] [Objective] This systematic review aims to identify and compare the existing processes and methodologies that have been published in the literature for defining clinical information models (CIMs) that support the semantic interoperability of electronic health record (EHR) systems. [Material and Methods] Following the preferred reporting items for systematic reviews and meta-analyses systematic review methodology, the authors reviewed published papers between 2000 and 2013 that covered that semantic interoperability of EHRs, found by searching the PubMed, IEEE Xplore, and ScienceDirect databases. Additionally, after selection of a final group of articles, an inductive content analysis was done to summarize the steps and methodologies followed in order to build CIMs described in those articles. [Results] Three hundred and seventy-eight articles were screened and thirty six were selected for full review. The articles selected for full review were analyzed to extract relevant information for the analysis and characterized according to the steps the authors had followed for clinical information modeling. [Discussion] Most of the reviewed papers lack a detailed description of the modeling methodologies used to create CIMs. A representative example is the lack of description related to the definition of terminology bindings and the publication of the generated models. However, this systematic review confirms that most clinical information modeling activities follow very similar steps for the definition of CIMs. Having a robust and shared methodology could improve their correctness, reliability, and quality. [Conclusion] Independently of implementation technologies and standards, it is possible to find common patterns in methods for developing CIMs, suggesting the viability of defining a unified good practice methodology to be used by any clinical information modeler. es_ES
dc.description.sponsorship This research has been partially funded by the Instituto de Salud Carlos III (Platform for Innovation in Medical Technologies and Health), grant PT13/0006/0036 and the Spanish Ministry of Economy and Competitiveness, grants TIN2010-21388-C02-01 and PTQ-12-05620.
dc.language Inglés es_ES
dc.publisher Oxford University Press es_ES
dc.relation.ispartof Journal of the American Medical Informatics Association es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Electronic health record es_ES
dc.subject Semantic interoperability es_ES
dc.subject Clinical information modeling es_ES
dc.subject Systematic review es_ES
dc.subject Clinical information model es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.title Clinical information modeling processes for semantic interoperability of electronic health records: systematic review and inductive analysis es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1093/jamia/ocv008
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//PT13%2F0006%2F0036/ES/Plataforma de Innovación en Tecnologías Médicas y Sanitarias/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2010-21388-C02-01/ES/HERRAMIENTAS INTELIGENTES PARA ENLAZAR HISTORIAS CLINICAS ELECTRONICAS CON SISTEMAS DE ENSAYOS CLINICOS-I/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//PTQ-12-05620/ES/PTQ-12-05620/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada 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 Moreno-Conde, A.; Moner Cano, D.; Da Cruz, WD.; Santos, MR.; Maldonado Segura, JA.; Robles Viejo, M.; Kalra, D. (2015). Clinical information modeling processes for semantic interoperability of electronic health records: systematic review and inductive analysis. Journal of the American Medical Informatics Association. 22(4):925-934. https://doi.org/10.1093/jamia/ocv008 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1093/jamia/ocv008 es_ES
dc.description.upvformatpinicio 925 es_ES
dc.description.upvformatpfin 934 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 22 es_ES
dc.description.issue 4 es_ES
dc.relation.senia 283759 es_ES
dc.identifier.pmid 25796595
dc.contributor.funder Ministerio de Economía y Competitividad
dc.contributor.funder Instituto de Salud Carlos III
dc.contributor.funder Ministerio de Ciencia e Innovación
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