管理紧急情况下受伤人员优先顺序的上下文感知框架

IF 1.7 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Fathia Ouakasse, O. Stitini, S. Rakrak
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引用次数: 0

摘要

医疗物联网(IoMT)在医院系统中的集成将传统的医疗服务从基于住院和疾病的反应性系统转变为主要基于患者和卫生专业人员之间的交互式数据流的预防性和互操作性系统。使用医学连接对象(MCO)来收集和处理医学数据。根据收集的数据,新的医疗系统应该能够根据紧急和关键的生命体征对患者状态进行分类,从而确定优先事项。在本文中,我们将注意力集中在医院紧急情况下的优先级管理上,以便根据不同利益相关者执行环境的变化动态调整操作和与他们的互动。事实上,根据从救护车上实施的MCO中感知到的数据,急诊室可能会准备接收受伤人员,如道路事故或其他事件的受害者。因此,我们根据收集的医疗数据为受伤人员设计了一个上下文感知监测框架,以管理优先级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Context-Aware Framework to Manage the Priority of Injured Persons Arriving at Emergencies
The integration of Internet of Medical Things (IoMT) in Hospital system has modified the traditional medical service as a reactive system based on hospitalization and diseases to a preventive and interoperable system based mainly on the interactive data flow between patient and health professionals. Using medical connected objects (MCOs), medical data is collected and processed. According to gathered data, the new medical system should be able to sort patient states based on urgent and critical vital signs, and consequently priorities are defined. In this paper, we direct our attention to manage priority in hospital emergencies in order to adapt dynamically operations and interactions with different stakeholders according to the changes in their execution context. Indeed, based on data sensed from MCOs implemented in ambulances, emergency rooms might be prepared to receive injured persons like victims of road accidents or other incidents. Therefore, we design a context-aware monitoring framework for injured people based on gathered medical data to manage priorities.
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来源期刊
CiteScore
4.00
自引率
46.20%
发文量
143
审稿时长
12 weeks
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