纠正性维护
临床工程学
医疗设备
预测性维护
计算机化维修管理系统
过程(计算)
可靠性工程
计划维护
工单
医疗设备管理
集合(抽象数据类型)
计算机科学
绩效指标
工作(物理)
预防性维护
风险分析(工程)
维修工程
主动维护
运营管理
工程类
医学
医疗保健
操作系统
机械工程
护理部
经济
管理
程序设计语言
经济增长
作者
Ernesto Iadanza,Valentina Gonnelli,Francesca Satta
标识
DOI:10.1007/s11517-019-02021-x
摘要
Maintenance is a crucial subject in medical equipment life cycle management. Evidence-based maintenance consists of the continuous performance monitoring of equipment, starting from the evidence—the current state in terms of failure history—and improvement of its effectiveness by making the required changes. This process is very important for optimizing the use and allocation of the available resources by clinical engineering departments. Medical equipment maintenance is composed of two basic activities: scheduled maintenance and corrective maintenance. Both are needed for the management of the entire set of medical equipment in a hospital. Because the classification of maintenance service work orders reveals specific issues related to frequent problems and failures, specific codes have been applied to classify the corrective and scheduled maintenance work orders at Careggi University Hospital (Florence, Italy). In this study, a novel set of key performance indicators is also proposed for evaluating medical equipment maintenance performance. The purpose of this research is to combine these two evidence-based methods to assess every aspect of the maintenance process and provide an objective and standardized approach that will support and enhance clinical engineering activities. Starting from the evidence (i.e. failures), the results show that the combination of these two methods can provide a periodical cross-analysis of maintenance performance that indicates the most appropriate procedures.
科研通智能强力驱动
Strongly Powered by AbleSci AI