dc.creatorA. Miguel Cruz
dc.creatorE. Rodríguez Denis
dc.creatorC. Sánchez Villar
dc.creatorE. T. Pozo Puñales
dc.creatorI. Vergara Perez
dc.date.accessioned2020-08-19T14:45:53Z
dc.date.accessioned2022-09-22T15:11:15Z
dc.date.available2020-08-19T14:45:53Z
dc.date.available2022-09-22T15:11:15Z
dc.date.created2020-08-19T14:45:53Z
dc.identifierISSN: 0899-8205
dc.identifierhttps://repository.urosario.edu.co/handle/10336/28118
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3445814
dc.description.abstractThis article puts forward a new proposal to calculate count, turnaround, response, and service time of work orders in a clinical engineering (CE) department. These are calculated by means of a queuing model as a measurement tool. This proposal was tested in a 600-bed hospital with an inventory of 1094 medical devices and with 6 full-time clinical engineers. In April 1999, a simulation (with ARENA 3.01 developed by System Modeling Corporation) of the working of this proposal was performed with desired values being applied to the queuing model. At the end of 2002, real work order data from the database was recorded. As predicted, the results showed that all the indicators of nonscheduled work orders decreased. Response and turnaround time were reduced from 27 to 0.56 hours and 27.48 to 1.13 hours, respectively. From a backlog of 22 outstanding repair orders per month between April 1999 and January 2000, the number was reduced to 4 in December 2002. The queuing model also helped to measure the positive effects on arrival and service rates when users and CE were trained. The difference between simulated and real values was under 5%.
dc.languageeng
dc.publisherAssociation for the Advancement of Medical Instrumentation
dc.relationBiomedical Instrumentation and Technology, ISSN: 0899-8205, Vol.37, No.6 (November, 2003); pp. 405-421
dc.relationhttps://www.aami-bit.org/doi/abs/10.2345/0899-8205(2003)37%5B405%3AMEOUAC%5D2.0.CO%3B2?mobileUi=0
dc.relation421
dc.relationNo. 6
dc.relation405
dc.relationBiomedical Instrumentation and Technology
dc.relationVol. 37
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAbierto (Texto Completo)
dc.sourceBiomedical Instrumentation and Technology
dc.sourceinstname:Universidad del Rosario
dc.sourcereponame:Repositorio Institucional EdocUR
dc.titleMeasured Effects of User and Clinical Engineer Training Using a Queuing Model
dc.typearticle


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