Measured Effects of User and Clinical Engineer Training Using a Queuing Model

This 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 10...

Descripción completa

Detalles Bibliográficos
Autores Principales: A. Miguel Cruz, E. Rodríguez Denis, C. Sánchez Villar, E. T. Pozo Puñales, I. Vergara Perez
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: Association for the Advancement of Medical Instrumentation 2003
Materias:
Acceso en línea:https://repository.urosario.edu.co/handle/10336/28118
id ir-10336-28118
recordtype dspace
spelling ir-10336-281182020-08-19T14:45:53Z Measured Effects of User and Clinical Engineer Training Using a Queuing Model Efectos medidos de la formación de usuarios e ingenieros clínicos mediante un modelo de colas A. Miguel Cruz E. Rodríguez Denis C. Sánchez Villar E. T. Pozo Puñales I. Vergara Perez Measured Effects User and Clinical Engineer Training Using a Queuing Model This 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%. 2003-01-01 2020-08-19T14:45:53Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion ISSN: 0899-8205 https://repository.urosario.edu.co/handle/10336/28118 eng info:eu-repo/semantics/openAccess application/pdf Association for the Advancement of Medical Instrumentation Biomedical Instrumentation and Technology
institution EdocUR - Universidad del Rosario
collection DSpace
language Inglés (English)
topic Measured Effects
User and Clinical Engineer
Training Using a Queuing Model
spellingShingle Measured Effects
User and Clinical Engineer
Training Using a Queuing Model
A. Miguel Cruz
E. Rodríguez Denis
C. Sánchez Villar
E. T. Pozo Puñales
I. Vergara Perez
Measured Effects of User and Clinical Engineer Training Using a Queuing Model
description This 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%.
format Artículo (Article)
author A. Miguel Cruz
E. Rodríguez Denis
C. Sánchez Villar
E. T. Pozo Puñales
I. Vergara Perez
author_facet A. Miguel Cruz
E. Rodríguez Denis
C. Sánchez Villar
E. T. Pozo Puñales
I. Vergara Perez
author_sort A. Miguel Cruz
title Measured Effects of User and Clinical Engineer Training Using a Queuing Model
title_short Measured Effects of User and Clinical Engineer Training Using a Queuing Model
title_full Measured Effects of User and Clinical Engineer Training Using a Queuing Model
title_fullStr Measured Effects of User and Clinical Engineer Training Using a Queuing Model
title_full_unstemmed Measured Effects of User and Clinical Engineer Training Using a Queuing Model
title_sort measured effects of user and clinical engineer training using a queuing model
publisher Association for the Advancement of Medical Instrumentation
publishDate 2003
url https://repository.urosario.edu.co/handle/10336/28118
_version_ 1676074360674189312
score 11,381624