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Evaluating record history of medical devices using association discovery and clustering techniques

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dc.creatorCruz, Antonio Miguelspa
dc.date.accessioned2020-05-26T00:08:03Z
dc.date.available2020-05-26T00:08:03Z
dc.date.created2013spa
dc.description.abstractIn this research, association discovery and clustering techniques were utilized for improving the efficiency of a hospital's service and of the maintenance tasks in a clinical engineering department. The indicator in this study is service requests. The association discovery techniques revealed problems in users' training (errors in operating procedures), intrinsic failures in medical devices, and badly scheduled maintenance policies. Clustering techniques uncovered the main causes of failures. With the evidence obtained corrective actions were taken. The service request average dropped dramatically from 6.4 to 0.4 during the analyzed period. © 2013 Elsevier Ltd. All rights reserved.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1016/j.eswa.2013.03.034
dc.identifier.issn9574174
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/24051
dc.language.isoengspa
dc.publisherElsevier Ltdspa
dc.relation.citationEndPage5305
dc.relation.citationIssueNo. 13
dc.relation.citationStartPage5292
dc.relation.citationTitleExpert Systems with Applications
dc.relation.citationVolumeVol. 40
dc.relation.ispartofExpert Systems with Applications, ISSN:9574174, Vol.40, No.13 (2013); pp. 5292-5305spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84878317994&doi=10.1016%2fj.eswa.2013.03.034&partnerID=40&md5=d4d7b59c39ac55179f005ea8b47e9cfespa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordBiomedical engineeringspa
dc.subject.keywordCluster analysisspa
dc.subject.keywordData miningspa
dc.subject.keywordHospitalsspa
dc.subject.keywordMaintenancespa
dc.subject.keywordMedical problemsspa
dc.subject.keywordOperations researchspa
dc.subject.keywordQuality of servicespa
dc.subject.keywordAssociation discoveriesspa
dc.subject.keywordClinical engineeringspa
dc.subject.keywordClustering analysisspa
dc.subject.keywordClustering techniquesspa
dc.subject.keywordCorrective actionsspa
dc.subject.keywordIntrinsic failurespa
dc.subject.keywordOutsourced servicesspa
dc.subject.keywordScheduled maintenancespa
dc.subject.keywordBiomedical equipmentspa
dc.subject.keywordBiomedical engineeringspa
dc.subject.keywordClinical engineeringspa
dc.subject.keywordClustering analysisspa
dc.subject.keywordData miningspa
dc.subject.keywordHospitalspa
dc.subject.keywordMaintenance and engineeringspa
dc.subject.keywordOperations researchspa
dc.subject.keywordOutsourced servicesspa
dc.titleEvaluating record history of medical devices using association discovery and clustering techniquesspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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