Abstract
ABSTRACT Performance metrics (PMs) are essential in aiding hospital building maintenance managers in their decision-making processes. Although computerized maintenance management systems (CMMSs) are widely used in hospital maintenance and can store extensive data, there is limited literature documenting PMs derived from these sources. This study aimed to identify PMs in corrective building maintenance using a CMMS dataset from a Brazilian public hospital covering the years 2017–2022. A case study was conducted by analysing the evolution of work orders (WOs) over time and investigating lead times across hospital sectors and maintenance services. Textual analysis was used to explore the relationship between specific terms within WOs and lead times. The findings revealed (i) the impact of COVID-19 on WOs, (ii) a lack of evidence that requests were prioritized based on their origin and (iii) the relationship between specific keywords in user requests and faster responses. This study demonstrates that analysing past WOs can potentially enhance hospital corrective maintenance processes.
Published Version
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