[A comparative study of maintenance services using the data-mining technique].
OBJECTIVE
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.


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.
Cruz
Antonio M
AM
Escuela de Medicina, Universidad del Rosario. Bogotá D.C., Colombia. Antonio.cruz43.@urosario.edu.co
Aguilera-Huertas
Wilmer A
WA
Días-Mora
Darío A
DA
D001698:Biomedical Engineering / Q000295:instrumentation*; D003105:Colombia; D057225:Data Mining; D006801:Humans; D008284:Maintenance and Engineering, Hospital / Q000592:standards*