评估电子医疗设备过时:线性和模糊逻辑方法的比较。

Andrea Adele Grassi, Simone Falco, Laura Oddera, Ezio Nicolàs Bruno Urbina, Mauro Giacomini
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引用次数: 0

摘要

本研究的重点是通过不同的分析方法对电子医疗设备进行评估,因此有可能确定其过时程度,从而确定是否需要退役或重新评估。这项研究是与IRCCS Giannina Gaslini研究所的更新浪潮同时进行的,特别是根据护理强度组织的新零号馆的建设。这一转变需要对现有的所有医疗设备进行重组和认识,同时需要进行适当的管理、重新分配和在某些情况下进行处置。为了支持这一进程,本研究侧重于通过使用两种不同的评估方法对研究所内的医疗器械进行评价:MVO(过时评价法)和基于模糊逻辑的定制指数。这项分析涉及8000多台设备。第一个索引(MVO)是由负责维护研究所内医疗设备的公司,即医院咨询公司开发的,该公司使用了内部数据库中的一些客观参数。第二个是由作者使用MVO中使用的相同参数设计的,但后来通过进一步分析进行了改进,这导致了对评估至关重要的参数的排除或包含。在模糊逻辑参数的支持下,建立了该指标。最后,对两种方法进行比较,以确定所使用的两种方法的一致性和所获得的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing Electromedical Device Obsolescence: A Comparison Between Linear and Fuzzy Logic Approaches.

The focus of this study is the evaluation of electromedical devices through different methods of analysis, thanks to which it is possible to determine the obsolescence and therefore the need for decommissioning or revaluation of the same. The study has been conducted in parallel with the wave of renewal that is involving the IRCCS Giannina Gaslini Institute, particularly with the construction of the new Pavilion Zero, organized by intensity of care. This transformation requires a reorganization and awareness of all the existing medical equipment, along with the need for appropriate management, redistribution, and, in some cases, disposal. To support this process, the present study focuses on the evaluation of medical devices within the Institute, through the use of two different assessment methodologies: MVO (Obsolescence Evaluation Method) and a custom-developed index based on fuzzy logic. The analysis involved more than 8,000 devices. The first index (MVO) was developed by the company, which is responsible for maintaining medical devices within the Institute, namely Hospital Consulting S.p.A., which has used some objective parameters from the internal database. The second one was designed by the authors using the same parameters employed in the MVO, but was later refined through further analysis, which led to the exclusion or inclusion of parameters deemed crucial for the evaluation. This index was also developed with the support of some fuzzy logic based parameters. In the end, the two methodologies were compared in order to determine the consistency of the two methods used and the differences obtained.

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