Abstract
Clinical engineering departments have to establish and continuously regulate a Medical Equipment Management Program (MEMP) to ensure a high reliability and safety of their critical medical devices. Asset criticality assessment is an essential element of reliability centered maintenance and risk-based maintenance, especially when enormous various devices exist and the worst failure consequences are not evident. This paper presents a new risk-based prioritization framework for maintenance decisions. We propose a Multi-Expert Multi-Criteria decision making (MEMC) model to classify medical devices according to their criticality and we describe how obtained scores are used to set up guidelines for appropriate maintenance strategies.
Highlights
Medical devices are over 5000 different types used in all aspects of healthcare services, ranging from a simple tongue depressor to a sophisticated pacemaker (Dhillon, 2000)
This paper presents a Hybrid Group Decision Making (HGDM) model to the medical devices classification problem within Risk-Based Maintenance (RBM) framework
We propose a diagram based on criticality scores −1 ≤ φ ≤ 1 achieved by the third step of our approach
Summary
Medical devices are over 5000 different types used in all aspects of healthcare services, ranging from a simple tongue depressor to a sophisticated pacemaker (Dhillon, 2000). Clinical engineers have been developing Medical Equipment Management Programs (MEMP) to reduce risks and improve the safety of medical equipment in support of patient care These programs appeal for an effective and efficient framework to prioritize medical devices for appropriate maintenance decisions based on key criteria (Wang, 2012). This paper presents a Hybrid Group Decision Making (HGDM) model to the medical devices classification problem within Risk-Based Maintenance (RBM) framework. This approach first prioritizes medical equipments in a group decision environment based on their criticality, using a hybrid (AHP-PROMETHE) method and proposes a diagram for deciding on adequate maintenance policy for each device. The proposed framework is illustrated by a case study in a Moroccan hospital
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