Evaluating record history of medical devices using association discovery and clustering techniques

In this research, association discovery and clustering techniques were utilized for improving the efficiency of a hospital's service and of the maintenance tasks in a clinical engineering department. The indicator in this study is service requests. The association discovery techniques revealed...

Full description

Autores:
Tipo de recurso:
Fecha de publicación:
2013
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/24051
Acceso en línea:
https://doi.org/10.1016/j.eswa.2013.03.034
https://repository.urosario.edu.co/handle/10336/24051
Palabra clave:
Biomedical engineering
Cluster analysis
Data mining
Hospitals
Maintenance
Medical problems
Operations research
Quality of service
Association discoveries
Clinical engineering
Clustering analysis
Clustering techniques
Corrective actions
Intrinsic failure
Outsourced services
Scheduled maintenance
Biomedical equipment
Biomedical engineering
Clinical engineering
Clustering analysis
Data mining
Hospital
Maintenance and engineering
Operations research
Outsourced services
Rights
License
Abierto (Texto Completo)
Description
Summary:In this research, association discovery and clustering techniques were utilized for improving the efficiency of a hospital's service and of the maintenance tasks in a clinical engineering department. The indicator in this study is service requests. The association discovery techniques revealed problems in users' training (errors in operating procedures), intrinsic failures in medical devices, and badly scheduled maintenance policies. Clustering techniques uncovered the main causes of failures. With the evidence obtained corrective actions were taken. The service request average dropped dramatically from 6.4 to 0.4 during the analyzed period. © 2013 Elsevier Ltd. All rights reserved.