A strategic corrective maintenance prioritization assessment for medical equipment

• Main Authors: Zamzam, Aizat Hilmi, Al-Ani, Ayman Khallel Ibrahim, Hasikin, Khairunnisa, Abdul Wahab, Ahmad Khairi
• Format: Conference or Workshop Item
• Published: Springer Science and Business Media Deutschland GmbH 2022
• Subjects: R Medicine; TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/43461/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129229741&doi=10.1007%2f978-3-030-90724-2_15&partnerID=40&md5=576148e9134473bf9ec2d8c7db41c157

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.