Design for reusability of medical equipment for optimal modularization using an endoscope as case study

The reprocessing of reusable medical equipment (RME) is complex due to the difficulty of eliminating infections. Healthcare providers have expressed dissatisfaction with the difficulty faced in cleaning and disinfecting medical equipment after use. Reprocessed RMEs include endoscopes, valves, adapte...

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Autores principales: Celestine Aguwa, Leslie Monplaisir, Ozgu Turgut, Will Jordan, Egbe-Etu Etu
Formato: article
Lenguaje:EN
Publicado: Taylor & Francis Group 2019
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Acceso en línea:https://doaj.org/article/03b2a934390248daacc6478b0a367bdd
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spelling oai:doaj.org-article:03b2a934390248daacc6478b0a367bdd2021-11-04T15:51:56ZDesign for reusability of medical equipment for optimal modularization using an endoscope as case study2331-191610.1080/23311916.2019.1636516https://doaj.org/article/03b2a934390248daacc6478b0a367bdd2019-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23311916.2019.1636516https://doaj.org/toc/2331-1916The reprocessing of reusable medical equipment (RME) is complex due to the difficulty of eliminating infections. Healthcare providers have expressed dissatisfaction with the difficulty faced in cleaning and disinfecting medical equipment after use. Reprocessed RMEs include endoscopes, valves, adapters etc. This research aims to increase the ease of reprocessing and decrease the risk of infection using a collaborative modular architecture framework. The methodology is divided into four steps. First, we identify and define the product’s functional and physical decompositions. Secondly, based on stakeholders’ input, parameters such as design, human factors, and cost were identified to be the main factors affecting the reprocessing of an endoscope. The parameters’ subsequent metrics are selected for performance requirements. Thirdly, surveys are developed to collect data about the performance of different endoscope models. Fourthly, we utilize a linear multi-objective optimization model which aims at generating representative solutions on the true Pareto front of the problem that maximizes the similarity among module members in terms of the factors. Finally, we combine the module information with efficiency feedback to derive recommendations for the users. A case study is presented using hospital data. The results indicate that there is a high risk of infection caused by human errors during reprocessing for endoscopes clustered in Module 1 compared to Module 2 and 3. To ensure that the safety and quality of medical care rendered to patients are not compromised, we recommend that healthcare providers utilize endoscopes in Modules 2 and 3 as they are safe and easy to reprocess.Celestine AguwaLeslie MonplaisirOzgu TurgutWill JordanEgbe-Etu EtuTaylor & Francis Grouparticlereusable medical equipmentpatient careanalytic hierarchy processendoscopeclusteringmulti-objective optimizationproduct modularizationEngineering (General). Civil engineering (General)TA1-2040ENCogent Engineering, Vol 6, Iss 1 (2019)
institution DOAJ
collection DOAJ
language EN
topic reusable medical equipment
patient care
analytic hierarchy process
endoscope
clustering
multi-objective optimization
product modularization
Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle reusable medical equipment
patient care
analytic hierarchy process
endoscope
clustering
multi-objective optimization
product modularization
Engineering (General). Civil engineering (General)
TA1-2040
Celestine Aguwa
Leslie Monplaisir
Ozgu Turgut
Will Jordan
Egbe-Etu Etu
Design for reusability of medical equipment for optimal modularization using an endoscope as case study
description The reprocessing of reusable medical equipment (RME) is complex due to the difficulty of eliminating infections. Healthcare providers have expressed dissatisfaction with the difficulty faced in cleaning and disinfecting medical equipment after use. Reprocessed RMEs include endoscopes, valves, adapters etc. This research aims to increase the ease of reprocessing and decrease the risk of infection using a collaborative modular architecture framework. The methodology is divided into four steps. First, we identify and define the product’s functional and physical decompositions. Secondly, based on stakeholders’ input, parameters such as design, human factors, and cost were identified to be the main factors affecting the reprocessing of an endoscope. The parameters’ subsequent metrics are selected for performance requirements. Thirdly, surveys are developed to collect data about the performance of different endoscope models. Fourthly, we utilize a linear multi-objective optimization model which aims at generating representative solutions on the true Pareto front of the problem that maximizes the similarity among module members in terms of the factors. Finally, we combine the module information with efficiency feedback to derive recommendations for the users. A case study is presented using hospital data. The results indicate that there is a high risk of infection caused by human errors during reprocessing for endoscopes clustered in Module 1 compared to Module 2 and 3. To ensure that the safety and quality of medical care rendered to patients are not compromised, we recommend that healthcare providers utilize endoscopes in Modules 2 and 3 as they are safe and easy to reprocess.
format article
author Celestine Aguwa
Leslie Monplaisir
Ozgu Turgut
Will Jordan
Egbe-Etu Etu
author_facet Celestine Aguwa
Leslie Monplaisir
Ozgu Turgut
Will Jordan
Egbe-Etu Etu
author_sort Celestine Aguwa
title Design for reusability of medical equipment for optimal modularization using an endoscope as case study
title_short Design for reusability of medical equipment for optimal modularization using an endoscope as case study
title_full Design for reusability of medical equipment for optimal modularization using an endoscope as case study
title_fullStr Design for reusability of medical equipment for optimal modularization using an endoscope as case study
title_full_unstemmed Design for reusability of medical equipment for optimal modularization using an endoscope as case study
title_sort design for reusability of medical equipment for optimal modularization using an endoscope as case study
publisher Taylor & Francis Group
publishDate 2019
url https://doaj.org/article/03b2a934390248daacc6478b0a367bdd
work_keys_str_mv AT celestineaguwa designforreusabilityofmedicalequipmentforoptimalmodularizationusinganendoscopeascasestudy
AT lesliemonplaisir designforreusabilityofmedicalequipmentforoptimalmodularizationusinganendoscopeascasestudy
AT ozguturgut designforreusabilityofmedicalequipmentforoptimalmodularizationusinganendoscopeascasestudy
AT willjordan designforreusabilityofmedicalequipmentforoptimalmodularizationusinganendoscopeascasestudy
AT egbeetuetu designforreusabilityofmedicalequipmentforoptimalmodularizationusinganendoscopeascasestudy
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