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A system dynamics based model for medical equipment maintenance procedure planning in developing countries

机译:基于系统动态的发展中国家医疗设备维护程序规划模型

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Clinical Engineering (CE) department activities include acquisition, maintenance of medical instrumentation, health technology assessment, medical informatics, and risk management. In this work the authors focus on maintenance activities in developing countries where there is a lack of acquisition planning, assessment, budgeting planning, and critical equipment breakdown. In the past decade there has been an explosion in the use of system dynamics modeling in healthcare. In this paper a system dynamics based model for medical equipment maintenance is designed; it incorporates 8 key variables that influence the progress of medical equipment maintenance. This model shows the effect of changing a key variable on the others. This model is intended to maximize the quality and to minimize the cost and time of medical equipment maintenance. This is developed in a causal loop diagram, which is a cause and effect diagram. iThink software has been used in the development of this model, together with vensim in the development of the causal loop diagram. The results show that the critical variables for maintenance are the defect rate, breakdown rate, and maintenance cost. In conclusion the medical equipment maintenance cost determines the decision for acquiring new equipment. The type and number of equipment to be acquired is determined according to the available budget.
机译:临床工程(CE)部门的活动包括收购,维护医疗仪器,保健技术评估,医学信息学和风险管理。在这项工作中,作者侧重于发展中国家的维护活动,缺乏收购规划,评估,预算规划和关键设备故障。在过去的十年中,在医疗保健中使用系统动力学建模一直爆炸。本文设计了一种基于系统动态的医疗设备维护模型;它包含了8个关键变量,影响医疗设备维护进展。此模型显示在其他方面更改键变量的效果。该型号旨在最大限度地提高质量,并最大限度地降低医疗设备维护的成本和时间。这是在因果环图中开发的,这是一个原因和效果图。 iThink软件已被用于该模型的开发,以及Vensim在发生因果环图中的开发中。结果表明,维护的临界变量是缺陷率,故障率和维护成本。总之,医疗设备维护成本决定了获取新设备的决定。根据可用预算确定要获取的设备的类型和数量。

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