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Methods and concepts for elaborating a decision aided tool for optimizing healthcare medicines dispatching flows

机译:用于阐述决策辅助工具的方法和概念,以优化医疗保健药物调度流动

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Globalization and new technologies are causes of the development of industry 4.0 concepts. Nowadays, Industry is becoming increasingly technological, machines are reaching spaces previously destined in factories to humans. Indeed, industry 4.0 concepts based on scientific, technological, and organizational concepts & tools (Internet of thing, RFID, Cobots, decision aided tools) and including sustainability could be used in different activity sectors. Healthcare sector is being transformed by new technologies and complex problems of this sector are solved by insisting on new technological parameters. FEI and Icam engineering schools are collaborating on healthcare logistics & transport area. The idea is to use the previous approach being elaborated for industrial companies to improve healthcare logistics and transport domain (Healthcare logistics 4.0). This paper presents concepts and tools (healthcare logistics 4.0) for solving real healthcare logistics problems. The approach elaborated is hybrid (combination of experimentation for acquiring real data and design for elaborating concepts and methods required for developing an adapted problem-solving tool). The decision aided tool is elaborated by using formalisms of artificial intelligence (such as expert systems, machine learning, multi-agent systems) in order to optimize medicine dispatching flows in a hospital. After describing healthcare logistics dispatching problems, a literature review will be presented for choosing concepts and formalisms that could be for developing the new decisional tool. Then, an example will be given for illustrating concepts elaborated.
机译:全球化和新技术是行业4.0概念发展的原因。如今,行业正在变得越来越多的技术,机器正在达到以前注定的工厂的空间。实际上,基于科学,技术和组织概念和工具(物联网,RFID,Cobots,决策辅助工具)和包括可持续发展的行业4.0概念可以在不同的活动部门中使用。医疗保健部门正在通过新技术改造,并通过坚持新技术参数来解决这一部门的复杂问题。 FEI和ICAM Engineering Schools在医疗保健物流和运输区合作。该想法是利用以前的方法为工业公司制定,以改善医疗保健物流和运输领域(医疗保健物流4.0)。本文介绍了解决真正医疗物流问题的概念和工具(医疗物流4.0)。阐述的方法是混合动力(用于获取真实数据的实验组合,用于制定开发改进的问题求解工具所需的阐述和方法)。通过使用人工智能的形式主义(如专家系统,机器学习,多种子体系统)来阐述决策辅助工具,以便优化医院的药物调度流动。在描述医疗物流调度问题后,将提出文献综述来选择可能是开发新的决策工具的概念和形式。然后,将给出一个例子来说明阐述的概念。

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