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Improving corrective maintenace efficiency in clinical engineering departments - Multiple linear regression and clustering techniques for analyzing quality and effectiveness of technical services

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dc.creatorCruz, Antonio Miguelspa
dc.creatorBarr, Cameronspa
dc.creatorPunales, Elsa P. Pozospa
dc.date.accessioned2020-08-06T16:20:51Z
dc.date.available2020-08-06T16:20:51Z
dc.date.created2007spa
dc.description.abstractMultiple linear regression and clustering techniques are tools that have been extensively applied in several financial, technical, and biomedical arenas, where vast quantities of data are produced and stored. These techniques show promise in analyzing the performance of departments responsible for and related to hospital equipment maintenance and, thereafter, identifying and improving areas of concern. As a contributory measure, this research is focused on the analysis of quality and effectiveness of corrective (nonscheduled) maintenance tasks in the healthcare environment and the improvement of those processes. The two main objectives of this research are to build a predictor for a TAT indicator to estimate its values and to use a numeric clustering technique to find possible causes of undesirable values of TAT.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1109/MEMB.2007.364931
dc.identifier.issnISSN: 0739-5175
dc.identifier.issnEISSN: 1937-4186
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/26169
dc.language.isoengspa
dc.publisherJournal & Magazinesspa
dc.relation.citationEndPage65
dc.relation.citationIssueNo. 3
dc.relation.citationStartPage60
dc.relation.citationTitleIEEE Engineering in Medicine and Biology Magazine
dc.relation.citationVolumeVol. 26
dc.relation.ispartofIEEE Engineering in Medicine and Biology Magazine, ISSN: 0739-5175 ; EISSN: 1937-4186, Vol.26, No.3 (2007); pp.60-65spa
dc.relation.urihttps://ieeexplore.ieee.org/document/4213103/authors#authorsspa
dc.rights.accesRightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.accesoRestringido (Acceso a grupos específicos)spa
dc.sourceIEEE Engineering in Medicine and Biology Magazinespa
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subject.keywordAlgorithmspa
dc.subject.keywordArticlespa
dc.subject.keywordBiomedical engineeringspa
dc.subject.keywordCluster analysisspa
dc.subject.keywordDevicespa
dc.subject.keywordHealth care qualityspa
dc.subject.keywordHealth servicespa
dc.subject.keywordMathematical analysisspa
dc.subject.keywordMedical auditspa
dc.subject.keywordMultiple linear regression analysisspa
dc.subject.keywordPolicyspa
dc.titleImproving corrective maintenace efficiency in clinical engineering departments - Multiple linear regression and clustering techniques for analyzing quality and effectiveness of technical servicesspa
dc.title.TranslatedTitleMejora de la eficiencia del mantenimiento correctivo en los departamentos de ingeniería clínica: técnicas de regresión lineal múltiple y agrupamiento para analizar la calidad y la eficacia de los servicios técnicosspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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