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医疗实验室设备风险管理的综合方法
Neven Saleh1,2, Omnia Gamal3, Mohamed A A Eldosoky3
1Electrical Communication and Electronic Systems Engineering Department, Faculty of Engineering, October University for Modern Sciences and Arts (MSA), 6th of October City, Giza, Egypt. nesaleh@msa.edu.eg.
Scientific reports
|February 20, 2024
概括
本研究引入了使用TOPSIS和SAW方法对医疗实验室设备 (MLE) 的新风险评估. 它优先考虑设备维护和更换决策,以改善医疗保健诊断.
科学领域:
- 医疗保健管理的管理
- 医疗设备工程 医疗设备工程
- 风险评估方法 风险评估方法
背景情况:
- 医疗实验室设备 (MLE) 对于准确的患者诊断至关重要.
- 确保临床实验室检测的可靠性在医疗保健中至关重要.
- 现有的MLE风险管理方法存在局限性.
研究的目的:
- 制定和提出一个风险降低计划来管理医疗实验室设备.
- 通过改善MLE管理,提高临床实验室测试的准确性和可靠性.
- 建立MLE维护和更换战略的优先级系统.
主要方法:
- 使用故障模式和影响分析 (FMEA) 作为初始基础.
- 通过相似性对理想解决方案 (TOPSIS) 和简单增量权衡 (SAW) 方法进行排序偏好的综合技术.
- 采用五个机器学习分类器来根据TOPSIS结果进行决策.
主要成果:
- 开发了一个新的风险优先级号码 (RPN) 系统来排名MLE风险.
- 与FMEA和SAW相比,TOPSIS在排名MLE风险方面表现出更高的稳定性.
- 确定了用于维护和废弃决策的MLE优先清单.
结论:
- 基于TOPSIS的方法为MLE风险评估提供了一种稳定有效的方法.
- 该研究提供了一个数据驱动的框架,用于优化MLE性能和资源配置.
- 机器学习集成增强了埃及医院MLE管理的决策.
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