Zamzam, Aizat Hilmi and Al-Ani, Ayman Khallel Ibrahim and Hasikin, Khairunnisa and Abdul Wahab, Ahmad Khairi (2022) A strategic corrective maintenance prioritization assessment for medical equipment. In: 6th Kuala Lumpur International Conference on Biomedical Engineering, BioMed 2021, 28-29 July 2021, Virtual, Online.
Full text not available from this repository.Abstract
The utilization of effective medical equipment significantly contributes to the quality of healthcare services. Breakdown of medical equipment can jeopardize healthcare delivery, maintenance expenditure, and resources. The implementation of equipment assessment for corrective maintenance throughout the equipment life cycle during the maintenance phase may enhance the medical equipment reliability and availability. The study aims to develop the corrective maintenance prioritization assessment system in managing the rectification work of breakdown medical equipment. The proposed system was developed by considering nine medical equipment features, which involve 1028 equipment with 19 categories located in public health clinics. The assessment of medical equipment uses the machine learning of k-Means clustering technique to analyze the equipment database to generate priority levels. The assessment by applying the k-Means clustering algorithm classifies the medical equipment into three priority levels. The corrective maintenance prioritization assessment system can assist the clinical engineers in managing the rectification expenditure, reporting, preparation, workforce, and material. This prioritization system can be incorporated with a real-time asset management database system in healthcare institutions for continuous supervision. © 2022, Springer Nature Switzerland AG.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Funders: | UNSPECIFIED |
Uncontrolled Keywords: | Biomedical equipment; Corrective maintenance; Health care; K-means clustering; Machine learning; Assessment system; Corrective maintenance; Healthcare delivery; Healthcare services; Maintenance prioritization; Medical Devices; Prioritization; Priority levels; Quality of health care; Unsupervised machine learning; Life cycle |
Subjects: | R Medicine T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Faculty of Engineering > Biomedical Engineering Department |
Depositing User: | Ms. Juhaida Abd Rahim |
Date Deposited: | 10 Feb 2025 07:33 |
Last Modified: | 10 Feb 2025 07:33 |
URI: | http://eprints.um.edu.my/id/eprint/43461 |
Actions (login required)
![]() |
View Item |