A Data Mining Based Algorithm to Enhance Maintenance Management: A Medical Equipment Case Study

Mokfi, Taha; Almaeenejad, Mahsa; Sedighi, Mohamad

doi:10.1109/ici.2011.23

Cited by 6 publications

(1 citation statement)

References 20 publications

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“…The tools employing for maintenance management frequently found as web-based applications and database. Once installed to the web server, users can work via internet network from any place as well as analyze data from [3].…”

Section: Introductionmentioning

confidence: 99%

The development of medical equipment repairing management module for WepMEt program set

Nutdanai

Pornthip

Sanpanich

2015

2015 8th Biomedical Engineering International Conference (BMEiCON)

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This research purposes to develop the medical equipment repairing management system in hospitals which is a part ofWepMEt Application (WepMEt-The Web Application for Medical Equipment Management in Hospitals). Work procedure and significant data recording were designed by a group of experts who had experience on the medical equipment management system. This web-based application supports both in-house and contract service. Users can check the maintenance status throughout the procedures. The maintenance order status which indicated by coloring update every 7 days for a fast tracking of pending orders and able to support a decision system by sending maintenance order to technician automatically. Our application provides priority to record all significant information which may lead to new knowledge discovery in medical equipment management. It can control users' access permission in various levels and also link to the spare parts management system, preventive maintenance, and stock system automatically. This module had been tested in an 800 beds hospital in our research project for 6 months, using 2,248 records of medical equipment database from WepMEt program set. Results presented in this study are only some parts of a total data analysis which can be used to improve the quality of maintenance work as well as decrease expenses on maintenance management. It is also useful for spare parts planning and the decision to equipment disposal. These factors are essential for an efficient medical equipment management.

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Section: Introductionmentioning

confidence: 99%