Utilizing Business Intelligence Software to Track Key Performance Indicators (KPIs) for Assessing the Computerized Maintenance Management System (CMMS)

The growing reliance on electromedical equipment in hospital care services demands efficient management of complex devices, which existing control systems often do not support. This paper focuses on creating a set of evaluation metrics for the Clinical Engineering Department at ASST Grande Ospedale Metropolitano Niguarda in Milan, Italy. The goal is to improve awareness of economic value, evaluate operational units, and optimize maintenance processes. Utilizing Business Intelligence, the study identifies 18 Key Performance Indicators spanning logistics, technical aspects, and equipment management. An interactive dashboard, created with PowerBI, enables dynamic analysis and visualization of these KPIs, offering insights into maintenance efficiency and the obsolescence of medical devices. The findings highlight the potential of the developed KPIs and dashboard to enhance operational insights and guide improvements in the maintenance processes of the healthcare facility.

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Published
2024-09-18
DOI
https://doi.org/10.1109/rtsi61910.2024.10761646
Primary Topic
Big Data and Business Intelligence
Type
article
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article

Utilizing Business Intelligence Software to Track Key Performance Indicators (KPIs) for Assessing the Computerized Maintenance Management System (CMMS)

Verônica Cimolin, Paola Picozzi, Umberto Nocco, Andrea Pezzillo et al.
Big Data and Business Intelligence
article

Utilizing Business Intelligence Software to Track Key Performance Indicators (KPIs) for Assessing the Computerized Maintenance Management System (CMMS)

Verônica Cimolin, Paola Picozzi, Umberto Nocco, Andrea Pezzillo, Adriana De Cosmo
article en

Abstract

The growing reliance on electromedical equipment in hospital care services demands efficient management of complex devices, which existing control systems often do not support. This paper focuses on creating a set of evaluation metrics for the Clinical Engineering Department at ASST Grande Ospedale Metropolitano Niguarda in Milan, Italy. The goal is to improve awareness of economic value, evaluate operational units, and optimize maintenance processes. Utilizing Business Intelligence, the study identifies 18 Key Performance Indicators spanning logistics, technical aspects, and equipment management. An interactive dashboard, created with PowerBI, enables dynamic analysis and visualization of these KPIs, offering insights into maintenance efficiency and the obsolescence of medical devices. The findings highlight the potential of the developed KPIs and dashboard to enhance operational insights and guide improvements in the maintenance processes of the healthcare facility.

Politecnico di Milano (IT)
Openalex Percentile: Top 67%
Big Data and Business Intelligence
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Utilizing Business Intelligence Software to Track Key Performance Indicators (KPIs) for Assessing the Computerized Maintenance Management System (CMMS) — Verônica Cimolin, Paola Picozzi, et al. · (2024) | TGRS Research Map | TGRS