Mostrar el registro sencillo del ítem

Ponencia

dc.creatorMorales Trujillo, Leticiaes
dc.creatorCid de la Paz Furest, Virginiaes
dc.creatorGonzález Enríquez, Josées
dc.creatorNavarro, Josées
dc.date.accessioned2022-11-14T10:27:37Z
dc.date.available2022-11-14T10:27:37Z
dc.date.issued2018
dc.identifier.citationMorales Trujillo, L., Cid de la Paz Furest, V., González Enríquez, J. y Navarro, J. (2018). A Model Oriented Approach for Managing Traceability of Biological Samples and Tests of Patients in Assisted Reproduction Clinics. En WEBIST 2018: 14th International Conference on Web Information Systems and Technologies (301-307), Sevilla, España: SciTePress.
dc.identifier.isbn978-989-758-324-7es
dc.identifier.issn2184-3252es
dc.identifier.urihttps://hdl.handle.net/11441/139385
dc.description.abstractAssisted reproduction has become a service that more and more people access. Current problems such as the delay in the age of motherhood, single-parent couples, etc. they have proliferated the options and the different treatments that are put at the service of society. A fundamental part of these processes lies in the work of laboratories, in the samples that are handled in clinical processes and then be implanted in future mothers. The management of the samples is a critical aspect that requires all the opportune mechanisms that guarantee the traceability of said samples, avoiding fatal errors. The correct identification, monitoring and control of them is a fundamental aspect and of special relevance. However, the systems currently offered to clinics present important problems. On the one hand, they offer little security, are very expensive or very independent of a specific provider, so that the traceability system cannot be connected to the hospital central management system, or they are very intrusive control systems in the daily work of the laboratory technicians. In this paper a software solution based on the definition of automatic models and protocols is proposed. It includes the appropriate devices, to manage the traceability of the samples in parallel to the work of the laboratory technician.es
dc.description.sponsorshipMinisterio de Economía y Competitividad TIN2016-76956-C3-2-R (POLOLAS)es
dc.formatapplication/pdfes
dc.format.extent7es
dc.language.isoenges
dc.publisherSciTePresses
dc.relation.ispartofWEBIST 2018: 14th International Conference on Web Information Systems and Technologies (2018), pp. 301-307.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectTraceabilityes
dc.subjectControl Processes
dc.subjectAssisted Reproductiones
dc.titleA Model Oriented Approach for Managing Traceability of Biological Samples and Tests of Patients in Assisted Reproduction Clinicses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.projectIDTIN2016-76956-C3-2-R (POLOLAS)es
dc.relation.publisherversionhttps://www.scitepress.org/Link.aspx?doi=10.5220/0006961003010307es
dc.identifier.doi10.5220/0006961003010307es
dc.contributor.groupUniversidad de Sevilla. TIC-021: Engineering and Science for Software Systemses
dc.publication.initialPage301es
dc.publication.endPage307es
dc.eventtitleWEBIST 2018: 14th International Conference on Web Information Systems and Technologieses
dc.eventinstitutionSevilla, Españaes
dc.relation.publicationplaceSetúbal, Portugales
dc.contributor.funderMinisterio de Economía y Competitividad (MINECO). Españaes

FicherosTamañoFormatoVerDescripción
A Model Oriented Approach for ...453.1KbIcon   [PDF] Ver/Abrir  

Este registro aparece en las siguientes colecciones

Mostrar el registro sencillo del ítem

Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Excepto si se señala otra cosa, la licencia del ítem se describe como: Attribution-NonCommercial-NoDerivatives 4.0 Internacional