A comparative study of maintenance services using the data-mining technique

Antonio M. Cruz, Wilmer A. Aguilera-Huertas, Darío A. Días-Mora

Resultado de la investigación: Contribución a RevistaArtículo

6 Citas (Scopus)

Resumen

Objectives The main goal in this research was comparing two hospitals' maintenance service quality. One of them had a contract service; the other one had an in-house maintenance service. Materials and methods The authors followed the next stages when conducting this research: domain understanding, data characterisation and sample reduction, insight characterisation and building the TAT predictor. Multiple linear regression and clustering techniques were used for improving the efficiency of corrective maintenance tasks in a clinical engineering department (CED). The indicator being studied was turnaround time (TAT). Results The institution having an in-house maintenance service had better quality indicators than the contract maintenance service. Conclusions There was lineal dependence between availability and service productivity.
Idioma originalEnglish (US)
Páginas (desde-hasta)653-661
Número de páginas9
PublicaciónRevista de Salud Publica
EstadoPublished - ene 1 2009

Huella dactilar

Data Mining
Contract Services
Maintenance
Hospital Maintenance and Engineering
Biomedical Engineering
Research
Cluster Analysis
Linear Models

Citar esto

Cruz, A. M., Aguilera-Huertas, W. A., & Días-Mora, D. A. (2009). A comparative study of maintenance services using the data-mining technique. Revista de Salud Publica, 653-661.
Cruz, Antonio M. ; Aguilera-Huertas, Wilmer A. ; Días-Mora, Darío A. / A comparative study of maintenance services using the data-mining technique. En: Revista de Salud Publica. 2009 ; pp. 653-661.
@article{6454c5d63aa94257969c05495acb6ec6,
title = "A comparative study of maintenance services using the data-mining technique",
abstract = "Objectives The main goal in this research was comparing two hospitals' maintenance service quality. One of them had a contract service; the other one had an in-house maintenance service. Materials and methods The authors followed the next stages when conducting this research: domain understanding, data characterisation and sample reduction, insight characterisation and building the TAT predictor. Multiple linear regression and clustering techniques were used for improving the efficiency of corrective maintenance tasks in a clinical engineering department (CED). The indicator being studied was turnaround time (TAT). Results The institution having an in-house maintenance service had better quality indicators than the contract maintenance service. Conclusions There was lineal dependence between availability and service productivity.",
author = "Cruz, {Antonio M.} and Aguilera-Huertas, {Wilmer A.} and D{\'i}as-Mora, {Dar{\'i}o A.}",
year = "2009",
month = "1",
day = "1",
language = "English (US)",
pages = "653--661",

}

Cruz, AM, Aguilera-Huertas, WA & Días-Mora, DA 2009, 'A comparative study of maintenance services using the data-mining technique', Revista de Salud Publica, pp. 653-661.

A comparative study of maintenance services using the data-mining technique. / Cruz, Antonio M.; Aguilera-Huertas, Wilmer A.; Días-Mora, Darío A.

En: Revista de Salud Publica, 01.01.2009, p. 653-661.

Resultado de la investigación: Contribución a RevistaArtículo

TY - JOUR

T1 - A comparative study of maintenance services using the data-mining technique

AU - Cruz, Antonio M.

AU - Aguilera-Huertas, Wilmer A.

AU - Días-Mora, Darío A.

PY - 2009/1/1

Y1 - 2009/1/1

N2 - Objectives The main goal in this research was comparing two hospitals' maintenance service quality. One of them had a contract service; the other one had an in-house maintenance service. Materials and methods The authors followed the next stages when conducting this research: domain understanding, data characterisation and sample reduction, insight characterisation and building the TAT predictor. Multiple linear regression and clustering techniques were used for improving the efficiency of corrective maintenance tasks in a clinical engineering department (CED). The indicator being studied was turnaround time (TAT). Results The institution having an in-house maintenance service had better quality indicators than the contract maintenance service. Conclusions There was lineal dependence between availability and service productivity.

AB - Objectives The main goal in this research was comparing two hospitals' maintenance service quality. One of them had a contract service; the other one had an in-house maintenance service. Materials and methods The authors followed the next stages when conducting this research: domain understanding, data characterisation and sample reduction, insight characterisation and building the TAT predictor. Multiple linear regression and clustering techniques were used for improving the efficiency of corrective maintenance tasks in a clinical engineering department (CED). The indicator being studied was turnaround time (TAT). Results The institution having an in-house maintenance service had better quality indicators than the contract maintenance service. Conclusions There was lineal dependence between availability and service productivity.

M3 - Article

SP - 653

EP - 661

ER -

Cruz AM, Aguilera-Huertas WA, Días-Mora DA. A comparative study of maintenance services using the data-mining technique. Revista de Salud Publica. 2009 ene 1;653-661.