Interaction between maintenance variables of medical ultrasound scanners through multifactor dimensionality reduction.

IF 2.9 3区医学 Q3 ENGINEERING, BIOMEDICAL

Expert Review of Medical Devices Pub Date : 2023-07-01 Epub Date: 2023-08-07 DOI:10.1080/17434440.2023.2243208

Alejandro Prieto-Fernández, Gonzalo Sánchez-Barroso, Jaime González-Domínguez, Justo García-Sanz-Calcedo

{"title":"Interaction between maintenance variables of medical ultrasound scanners through multifactor dimensionality reduction.","authors":"Alejandro Prieto-Fernández, Gonzalo Sánchez-Barroso, Jaime González-Domínguez, Justo García-Sanz-Calcedo","doi":"10.1080/17434440.2023.2243208","DOIUrl":null,"url":null,"abstract":"Background: Proper maintenance of electro-medical devices is crucial for the quality of care to patients and the economic performance of healthcare organizations. This research aims to identify the interaction between Ultrasound scanners (US) maintenance variables as a function of maintenance indicators: US in service or decommissioned, excessive number of failures, and failure rate. Knowing those interactions, specific maintenance measures will be developed to improve the reliability of the US.Research design and methods: Multifactor Dimensionality Reduction (MDR) method was eployed to analyze data from 222 US and their four-year maintenance history. Models were developed based on the variables with the greatest influence on maintenance indicators, where US were classified according to the associated risk.Results: US with more than one major failure or at least one major component replacement had up to 496.4% more failures than the average. Failure rate increased by up to 188.7% over the average for those US with more than three moderate failures, three replacements, or both.Conclusions: This study identifies and quantifies the causes of risk to establish a specific maintenance plan for US. It helps to better understand the degradation of US to optimize their operation and maintenance.","PeriodicalId":12330,"journal":{"name":"Expert Review of Medical Devices","volume":" ","pages":"851-864"},"PeriodicalIF":2.9000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Review of Medical Devices","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/17434440.2023.2243208","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/8/7 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}

引用次数: 0

Abstract

Background: Proper maintenance of electro-medical devices is crucial for the quality of care to patients and the economic performance of healthcare organizations. This research aims to identify the interaction between Ultrasound scanners (US) maintenance variables as a function of maintenance indicators: US in service or decommissioned, excessive number of failures, and failure rate. Knowing those interactions, specific maintenance measures will be developed to improve the reliability of the US.

Research design and methods: Multifactor Dimensionality Reduction (MDR) method was eployed to analyze data from 222 US and their four-year maintenance history. Models were developed based on the variables with the greatest influence on maintenance indicators, where US were classified according to the associated risk.

Results: US with more than one major failure or at least one major component replacement had up to 496.4% more failures than the average. Failure rate increased by up to 188.7% over the average for those US with more than three moderate failures, three replacements, or both.

Conclusions: This study identifies and quantifies the causes of risk to establish a specific maintenance plan for US. It helps to better understand the degradation of US to optimize their operation and maintenance.

查看原文本刊更多论文

通过多因素降维实现医学超声扫描仪维护变量之间的相互作用。

背景：电子医疗设备的正确维护对患者的护理质量和医疗机构的经济绩效至关重要。本研究旨在确定超声扫描仪（US）维护变量与维护指标之间的相互作用：US在役或退役、故障次数过多和故障率。了解这些相互作用，将制定具体的维护措施来提高美国的可靠性。研究设计和方法：采用多因素降维（MDR）方法分析222名美国及其四年维护历史的数据。模型是基于对维护指标影响最大的变量开发的，其中US根据相关风险进行分类。结果：美国发生一次以上重大故障或至少更换一次主要部件的故障率比平均水平高出496.4%。对于三次以上中度故障、三次更换或两者兼有的美国，故障率比平均水平上升了188.7%。结论：本研究通过识别和量化风险原因，为US制定具体的维护计划。有助于更好地了解US的退化情况，优化其操作和维护。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Expert Review of Medical Devices 医学-工程：生物医学

CiteScore

5.90

自引率

3.20%

发文量

审稿时长

6-12 weeks

期刊介绍： The journal serves the device research community by providing a comprehensive body of high-quality information from leading experts, all subject to rigorous peer review. The Expert Review format is specially structured to optimize the value of the information to reader. Comprehensive coverage by each author in a key area of research or clinical practice is augmented by the following sections: Expert commentary - a personal view on the most effective or promising strategies Five-year view - a clear perspective of future prospects within a realistic timescale Key issues - an executive summary cutting to the author''s most critical points In addition to the Review program, each issue also features Medical Device Profiles - objective assessments of specific devices in development or clinical use to help inform clinical practice. There are also Perspectives - overviews highlighting areas of current debate and controversy, together with reports from the conference scene and invited Editorials.