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Failure mode effect and criticality analysis of ultrasound device by classification tracking
BACKGROUND: Medical ultrasound device has been more and more widely used in the hospital and Its safety risk is significantly increased when failures occur. However, there is a lack of quantitative risk assessments of different types of failure modes for medical ultrasound device. This study utilize...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8973517/ https://www.ncbi.nlm.nih.gov/pubmed/35361206 http://dx.doi.org/10.1186/s12913-022-07843-4 |
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author | Wang, Longchen Li, Bin Hu, Bing Shen, Guofeng Zheng, Yunxin Zheng, Yuanyi |
author_facet | Wang, Longchen Li, Bin Hu, Bing Shen, Guofeng Zheng, Yunxin Zheng, Yuanyi |
author_sort | Wang, Longchen |
collection | PubMed |
description | BACKGROUND: Medical ultrasound device has been more and more widely used in the hospital and Its safety risk is significantly increased when failures occur. However, there is a lack of quantitative risk assessments of different types of failure modes for medical ultrasound device. This study utilizes a failure mode, effect and criticality analysis (FMECA) approach for quantitative risk evaluation of different failure modes for ultrasound devices. METHODS: The 4216 medical ultrasound device failure records at various hospitals were investigated. A failure mode and effect analysis method was developed for the quantitative evaluation of the risks of different failure modes. Visual correlation analysis was conducted for all categories to identify the causes of various failure modes. Based on the severity, occurrence and detectability of the failure causes determined, the risk priority number (RPN) for each failure mode was back-calculated through the obtained tracking diagram. RESULTS: The failure modes of unclear images, unable to power on and dark shadows on an image had the highest RPNs. One failure mode could be caused by various factors, and the failure location was not necessarily related to the cause of the failure. CONCLUSIONS: This quantitative approach more accurately evaluated the risks of different failure modes, and the results of the corresponding analysis of failure modes and causes could support the rapid determination of the causes of failures in clinical practice. |
format | Online Article Text |
id | pubmed-8973517 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89735172022-04-02 Failure mode effect and criticality analysis of ultrasound device by classification tracking Wang, Longchen Li, Bin Hu, Bing Shen, Guofeng Zheng, Yunxin Zheng, Yuanyi BMC Health Serv Res Research BACKGROUND: Medical ultrasound device has been more and more widely used in the hospital and Its safety risk is significantly increased when failures occur. However, there is a lack of quantitative risk assessments of different types of failure modes for medical ultrasound device. This study utilizes a failure mode, effect and criticality analysis (FMECA) approach for quantitative risk evaluation of different failure modes for ultrasound devices. METHODS: The 4216 medical ultrasound device failure records at various hospitals were investigated. A failure mode and effect analysis method was developed for the quantitative evaluation of the risks of different failure modes. Visual correlation analysis was conducted for all categories to identify the causes of various failure modes. Based on the severity, occurrence and detectability of the failure causes determined, the risk priority number (RPN) for each failure mode was back-calculated through the obtained tracking diagram. RESULTS: The failure modes of unclear images, unable to power on and dark shadows on an image had the highest RPNs. One failure mode could be caused by various factors, and the failure location was not necessarily related to the cause of the failure. CONCLUSIONS: This quantitative approach more accurately evaluated the risks of different failure modes, and the results of the corresponding analysis of failure modes and causes could support the rapid determination of the causes of failures in clinical practice. BioMed Central 2022-04-01 /pmc/articles/PMC8973517/ /pubmed/35361206 http://dx.doi.org/10.1186/s12913-022-07843-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Wang, Longchen Li, Bin Hu, Bing Shen, Guofeng Zheng, Yunxin Zheng, Yuanyi Failure mode effect and criticality analysis of ultrasound device by classification tracking |
title | Failure mode effect and criticality analysis of ultrasound device by classification tracking |
title_full | Failure mode effect and criticality analysis of ultrasound device by classification tracking |
title_fullStr | Failure mode effect and criticality analysis of ultrasound device by classification tracking |
title_full_unstemmed | Failure mode effect and criticality analysis of ultrasound device by classification tracking |
title_short | Failure mode effect and criticality analysis of ultrasound device by classification tracking |
title_sort | failure mode effect and criticality analysis of ultrasound device by classification tracking |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8973517/ https://www.ncbi.nlm.nih.gov/pubmed/35361206 http://dx.doi.org/10.1186/s12913-022-07843-4 |
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