Fully Automatic Calculation of Medical Equipment Down Time Phases

Tarawneh, Walid; Mobarek, Iyad

doi:10.1007/978-3-540-36841-0_921

Cited by 2 publications

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The available within the directorate of biomedical engineering at MOH computerized maintenance management system (CMMS) allows to calculate and to report the uptime A and DT for each piece of the available in MOHlocations medical equipment [4] as shown in figure 1. The implemented CMMS also allow to monitor A and DT for a long period of equipment life time for example 4, 5, 6 or more years, and also to monitor the A or DT trends for all equipment of certain model or type as shown in figure 2.…”

Section: Down Time Mesurment and Monitoringmentioning

confidence: 99%

Assessment Of Medical Equipment In Respect To Their Down Time

Tarawneh

El-Sharo

2009

IFMBE Proceedings

Self Cite

View full text Add to dashboard Cite

Abstract-The assessment of medical equipment condition has become an issue of increasing concern within healthcare services over the recent years. Most of the used tools to assess medical equipment condition ignore the effect of equipment Down Time (DT) as major factors in determining medical equipment status. This manuscript describes the use of equipment DT over the assessment process, factors that impact equipment DT , auto measurement of equipment Up Time and DT, the assessment criteria, and the assessment of medical equipment condition (MEC) in respect to their DT. The assessment process was implemented for 27653 medical equipment in 30 hospitals, 732 health centers at the Jordanian Ministry of Health (MOH). Along with the use of others assessment factors, the assessment of MEC in respect to their DT provided a significant improvement to the assessment, planning, and replacement processes of medical equipment at the Jordanian Ministry of Health during the last three years.

show abstract

Section: Down Time Mesurment and Monitoringmentioning

confidence: 99%