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 utilizes...
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| Vydáno v: | BMC health services research Ročník 22; číslo 1; s. 429 - 10 |
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| Hlavní autoři: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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London
BioMed Central
01.04.2022
BioMed Central Ltd Springer Nature B.V BMC |
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| ISSN: | 1472-6963, 1472-6963 |
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| Abstract | 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. |
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| AbstractList | 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. Abstract 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. 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.BACKGROUNDMedical 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.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.METHODSThe 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.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.RESULTSThe 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.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.CONCLUSIONSThis 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. 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. Keywords: Ultrasound device, Failure analysis, Risk assessment, Failure mode |
| ArticleNumber | 429 |
| Audience | Academic |
| Author | Shen, Guofeng Zheng, Yunxin Zheng, Yuanyi Li, Bin Hu, Bing Wang, Longchen |
| Author_xml | – sequence: 1 givenname: Longchen surname: Wang fullname: Wang, Longchen organization: Department of Ultrasound in Medicine, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital – sequence: 2 givenname: Bin surname: Li fullname: Li, Bin email: libin2001@hotmail.com organization: Department of Biomedical Engineering, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital – sequence: 3 givenname: Bing surname: Hu fullname: Hu, Bing organization: Department of Ultrasound in Medicine, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital – sequence: 4 givenname: Guofeng surname: Shen fullname: Shen, Guofeng organization: School of Biomedical Engineering, Shanghai Jiao Tong University – sequence: 5 givenname: Yunxin surname: Zheng fullname: Zheng, Yunxin email: cuat0255@sina.com organization: Department of Biomedical Engineering, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital – sequence: 6 givenname: Yuanyi surname: Zheng fullname: Zheng, Yuanyi email: zhengyuanyi@163.com organization: Department of Ultrasound in Medicine, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35361206$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_3390_diagnostics13243678 crossref_primary_10_1002_jum_16763 crossref_primary_10_1007_s13198_024_02617_z crossref_primary_10_1016_j_egyr_2022_05_159 crossref_primary_10_3389_fpubh_2024_1444721 |
| Cites_doi | 10.1016/j.ijrobp.2017.01.035 10.1016/j.ress.2020.106929 10.4103/JMU.JMU_104_18 10.1136/gutjnl-2020-321299 10.1002/qre.2852 10.1016/j.ultrasmedbio.2011.05.007 10.1046/j.1365-2648.2000.t01-1-01567.x 10.1136/bmjqs-2017-006481 10.1016/j.media.2019.01.002 10.1148/radiol.2522081954 10.1001/jamainternmed.2019.5171 10.1136/bmj.i2139 10.1016/j.ultrasmedbio.2017.08.936 10.1111/1754-9485.12762 10.1001/jama.295.16.1901 10.1016/j.ijnurstu.2019.02.006 10.1001/jamainternmed.2019.5170 10.1002/ejhf.1604 10.1016/j.ultrasmedbio.2017.05.009 10.1007/s00134-019-05564-7 10.1016/j.jacc.2020.04.069 10.1177/1742271X16662301 10.1016/j.crad.2013.10.006 10.1056/NEJMvcm1406114 10.1148/rg.2015150057 10.1088/0952-4746/34/4/891 |
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| Keywords | Failure mode Failure analysis Risk assessment Ultrasound device |
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| References | F Hasson (7843_CR24) 2000; 32 AM Kelly (7843_CR9) 2015; 35 NJ Dudley (7843_CR18) 2016; 24 PM Schulman (7843_CR14) 2018; 379 M Giardina (7843_CR26) 2014; 34 NJ Dudley (7843_CR19) 2017; 43 G Chu (7843_CR16) 2018; 26 NJ Hangiandreou (7843_CR17) 2011; 37 N Parvizi (7843_CR8) 2014; 69 M Antico (7843_CR10) 2019; 54 D Jackson (7843_CR7) 2019; 92 J Sengupta (7843_CR2) 2019; 180 JW Salazar (7843_CR5) 2020; 180 HH Abujudeh (7843_CR1) 2009; 252 WH Maisel (7843_CR4) 2006; 295 AM Vitikainen (7843_CR20) 2017; 43 H Frewen (7843_CR21) 2018; 62 M Rivas-Lasarte (7843_CR12) 2019; 21 MA Makary (7843_CR3) 2016; 353 CF Chi (7843_CR23) 2020; 200 JC O'Daniel (7843_CR22) 2017; 98 J Neuberger (7843_CR13) 2020; 69 L Pintelon (7843_CR25) 2021; 37 GA Schmidt (7843_CR15) 2019; 45 AB Freitas-Ferraz (7843_CR11) 2020; 5 AR Gagliardi (7843_CR6) 2018; 27 |
| References_xml | – volume: 98 start-page: 56 year: 2017 ident: 7843_CR22 publication-title: Int J Radiat Oncol Biol Phys doi: 10.1016/j.ijrobp.2017.01.035 – volume: 200 start-page: 1 year: 2020 ident: 7843_CR23 publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2020.106929 – volume: 26 start-page: 42 year: 2018 ident: 7843_CR16 publication-title: J Med Ultrasound doi: 10.4103/JMU.JMU_104_18 – volume: 69 start-page: 1382 year: 2020 ident: 7843_CR13 publication-title: Gut doi: 10.1136/gutjnl-2020-321299 – volume: 37 start-page: 2189 year: 2021 ident: 7843_CR25 publication-title: Qual Reliab Eng Int doi: 10.1002/qre.2852 – volume: 37 start-page: 1350 year: 2011 ident: 7843_CR17 publication-title: Ultrasound Med Biol doi: 10.1016/j.ultrasmedbio.2011.05.007 – volume: 32 start-page: 1008 year: 2000 ident: 7843_CR24 publication-title: J Adv Nurs doi: 10.1046/j.1365-2648.2000.t01-1-01567.x – volume: 27 start-page: 190 year: 2018 ident: 7843_CR6 publication-title: BMJ Qual Saf doi: 10.1136/bmjqs-2017-006481 – volume: 54 start-page: 149 year: 2019 ident: 7843_CR10 publication-title: Med Image Anal doi: 10.1016/j.media.2019.01.002 – volume: 252 start-page: 544 year: 2009 ident: 7843_CR1 publication-title: Radiology doi: 10.1148/radiol.2522081954 – volume: 180 start-page: 198 year: 2019 ident: 7843_CR2 publication-title: JAMA Intern Med doi: 10.1001/jamainternmed.2019.5171 – volume: 353 start-page: 2139 year: 2016 ident: 7843_CR3 publication-title: BMJ doi: 10.1136/bmj.i2139 – volume: 43 start-page: 2954 year: 2017 ident: 7843_CR19 publication-title: Ultrasound Med Biol doi: 10.1016/j.ultrasmedbio.2017.08.936 – volume: 62 start-page: 707 year: 2018 ident: 7843_CR21 publication-title: J Med Imaging Radiat Oncol doi: 10.1111/1754-9485.12762 – volume: 295 start-page: 1901 year: 2006 ident: 7843_CR4 publication-title: JAMA doi: 10.1001/jama.295.16.1901 – volume: 92 start-page: 109 year: 2019 ident: 7843_CR7 publication-title: Int J Nurs Stud doi: 10.1016/j.ijnurstu.2019.02.006 – volume: 180 start-page: 179 year: 2020 ident: 7843_CR5 publication-title: JAMA Intern Med doi: 10.1001/jamainternmed.2019.5170 – volume: 21 start-page: 1605 year: 2019 ident: 7843_CR12 publication-title: Eur J Heart Fail doi: 10.1002/ejhf.1604 – volume: 43 start-page: 1930 year: 2017 ident: 7843_CR20 publication-title: Ultrasound Med Biol doi: 10.1016/j.ultrasmedbio.2017.05.009 – volume: 45 start-page: 434 year: 2019 ident: 7843_CR15 publication-title: Intensive Care Med doi: 10.1007/s00134-019-05564-7 – volume: 5 start-page: 3164 year: 2020 ident: 7843_CR11 publication-title: J Am Coll Cardiol doi: 10.1016/j.jacc.2020.04.069 – volume: 24 start-page: 190 year: 2016 ident: 7843_CR18 publication-title: Ultrasound doi: 10.1177/1742271X16662301 – volume: 69 start-page: 263 year: 2014 ident: 7843_CR8 publication-title: Clin Radiol doi: 10.1016/j.crad.2013.10.006 – volume: 379 start-page: e1 year: 2018 ident: 7843_CR14 publication-title: NEJM doi: 10.1056/NEJMvcm1406114 – volume: 35 start-page: 1630 year: 2015 ident: 7843_CR9 publication-title: Radiographics doi: 10.1148/rg.2015150057 – volume: 34 start-page: 891 year: 2014 ident: 7843_CR26 publication-title: J Radiol Prot doi: 10.1088/0952-4746/34/4/891 |
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Medical ultrasound device has been more and more widely used in the hospital and Its safety risk is significantly increased when failures occur.... 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... Background Medical ultrasound device has been more and more widely used in the hospital and Its safety risk is significantly increased when failures occur.... Abstract Background Medical ultrasound device has been more and more widely used in the hospital and Its safety risk is significantly increased when failures... |
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| SubjectTerms | Classification Diagnosis, Ultrasonic Equipment and supplies Failure Failure analysis Failure mode Health Administration Health Informatics Health services Human error Medical equipment Medical errors Medical technology Medicine Medicine & Public Health Nursing Research Patient safety Preventive maintenance Public Health Quality control Risk assessment Software Ultrasonic imaging Ultrasound device |
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| Title | Failure mode effect and criticality analysis of ultrasound device by classification tracking |
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