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Preventive maintenance prioritization index of medical equipment using quality function deployment
IEEE Journal of Biomedical and Health Informatics
|July 17, 2014
Summary
This study introduces a new model for prioritizing medical equipment preventive maintenance using Quality Function Deployment. The model effectively correlates risk-based criteria with maintenance priorities, ensuring optimal equipment function.
Area of Science:
- Clinical Engineering
- Biomedical Equipment Management
- Healthcare Technology Management
Background:
- Effective preventive maintenance (PM) is crucial for clinical engineering to ensure medical equipment functionality.
- Increasing medical equipment variety necessitates improved management and control of maintenance activities.
- Current PM strategies may lack robust prioritization, impacting resource allocation and equipment reliability.
Purpose of the Study:
- To develop and validate a novel model for prioritizing preventive maintenance of medical equipment.
- To integrate Quality Function Deployment (QFD) principles into a framework for medical equipment maintenance.
- To establish a systematic approach for assigning PM priorities based on critical criteria.
Main Methods:
- A three-domain framework model was developed: requirement (House of Quality matrix), function (design matrix), and concept.
- Quality Function Deployment (QFD) was employed to generate a prioritization index for PM.
- The model was tested on 200 medical devices across 17 departments in two Italian hospitals, covering 70 equipment types.
Main Results:
- The developed model successfully generated a prioritization index for preventive maintenance.
- A high correlation was observed between risk-based criteria and the resulting prioritization list.
- The model proposes five distinct priority levels for implementing preventive maintenance actions.
Conclusions:
- The proposed QFD-based model offers a structured and effective method for prioritizing medical equipment preventive maintenance.
- This approach enhances the management and control of maintenance activities, crucial in diverse clinical settings.
- The model's validation demonstrates its utility in aligning maintenance efforts with equipment risk and criticality.
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