Prieto-Fernández Alejandro, Sánchez-Barroso Gonzalo, González-Domínguez Jaime, García-Sanz-Calcedo Justo
Engineering Projects Area, School of Industrial Engineering, University of Extremadura, Badajoz, Spain.
Expert Rev Med Devices. 2023 Jul-Dec;20(10):851-864. doi: 10.1080/17434440.2023.2243208. Epub 2023 Aug 7.
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.
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.
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.
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.
正确维护电子医疗设备对于患者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）维护变量之间的相互作用，该相互作用是维护指标的函数：US在役或退役、故障数量过多以及故障率。了解这些相互作用后，将制定具体的维护措施以提高US的可靠性。
采用多因素降维（MDR）方法分析来自222台US及其四年维护历史的数据。基于对维护指标影响最大的变量建立模型，其中根据相关风险对US进行分类。
发生一次以上重大故障或至少进行一次主要部件更换的US，其故障数量比平均水平多496.4%。对于发生三次以上中度故障、三次更换或两者兼有的US，其故障率比平均水平高出188.7%。
本研究识别并量化了风险原因，为US制定了具体的维护计划。它有助于更好地了解US的性能退化情况，以优化其操作和维护。
