iSUB: A Proposal of an Indicator for Use in Medical Equipment Replacement Planning

Currently, one of the most challenging decisions in the management of medical equipment is the replacement of a device, given the limited nature of financial resources. Many replacement decision-making processes occur reactively, considering factors related to the age of the device, a malfunction, or solely subjective criteria, which can result in acquisitions that are not aligned with the actual needs of the health care service. These services must have appropriately sized and reliable equipment to ensure the quality and safety of health care professionals in patient care, as well as the optimization of resources for the institution. Therefore, it is essential to seek tools capable of facilitating and systematizing the process of selection and prioritization of medical equipment replacement, amidst other external demands. Thus, a model called the “iSUB Methodology (Replacement Index)” was developed, which formulates several objective variables derived from most asset management software systems. This is a case study describing the tool used for the study of medical equipment replacement in a federal university hospital. The “iSUB Methodology” tool utilizes the parameters of age, failure rate, maintenance cost, and equipment severity—through a matrix scoring system, producing results on a scale from 0 to 10. The result is a ranked, nonexhaustive list of devices that need to be replaced. This methodology can be adopted by any health care service that manages its medical equipment inventory through an information system and possesses data on the variables used in the model. The model enables clinical engineers and the ones responsible for managing medical equipment to make more accurate decisions regarding the renewal of them, based on clear and objective evidence, classifying and identifying technologies with the highest potential for replacement.

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Publication Details

Journal
Journal of Clinical Engineering
Published
2025-09-16
DOI
https://doi.org/10.1097/jce.0000000000000728
Primary Topic
Quality and Safety in Healthcare
Type
article
Field-Weighted Citation Impact
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article

iSUB: A Proposal of an Indicator for Use in Medical Equipment Replacement Planning

Gustavo de Castro Vivas, Fernanda de Carvalho Vieira
Journal of Clinical Engineering
Quality and Safety in Healthcare
article

iSUB: A Proposal of an Indicator for Use in Medical Equipment Replacement Planning

Gustavo de Castro Vivas, Fernanda de Carvalho Vieira
article en

Abstract

Currently, one of the most challenging decisions in the management of medical equipment is the replacement of a device, given the limited nature of financial resources. Many replacement decision-making processes occur reactively, considering factors related to the age of the device, a malfunction, or solely subjective criteria, which can result in acquisitions that are not aligned with the actual needs of the health care service. These services must have appropriately sized and reliable equipment to ensure the quality and safety of health care professionals in patient care, as well as the optimization of resources for the institution. Therefore, it is essential to seek tools capable of facilitating and systematizing the process of selection and prioritization of medical equipment replacement, amidst other external demands. Thus, a model called the “iSUB Methodology (Replacement Index)” was developed, which formulates several objective variables derived from most asset management software systems. This is a case study describing the tool used for the study of medical equipment replacement in a federal university hospital. The “iSUB Methodology” tool utilizes the parameters of age, failure rate, maintenance cost, and equipment severity—through a matrix scoring system, producing results on a scale from 0 to 10. The result is a ranked, nonexhaustive list of devices that need to be replaced. This methodology can be adopted by any health care service that manages its medical equipment inventory through an information system and possesses data on the variables used in the model. The model enables clinical engineers and the ones responsible for managing medical equipment to make more accurate decisions regarding the renewal of them, based on clear and objective evidence, classifying and identifying technologies with the highest potential for replacement.

Journal of Clinical EngineeringVol. 50(4)
Universidade Estadual de Campinas (UNICAMP) (BR), House of Representatives (NL), Universidade Federal do Rio Grande do Norte (BR), Ciência Viva (PT), Universidade Federal do Espírito Santo (BR)
Openalex Percentile: Top 54%
Quality and Safety in Healthcare
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