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A Networked and Intelligent Regional Collaborative Treatment System for AMI

机译:AMI的网络化智能区域协同处理系统

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In "China Cardiovascular Disease Report 2015", research shows that mortality of Acute Myocardial Infarction (AMI) was rapidly increased since 2005. The mortality in 2014 was 123.92/lakh, which was 4.4 times higher than in 2002. Cardiovascular disease is ranked No. 1 in cause of death in China right now, in both rural and urban areas. This paper presents a medical information sharing platform based on mobile Internet, cloud computing and big data mining. It is designed to support the PB-level data management and analysis, and millions of concurrent instant messaging. The platform has the following functions: intelligent transportation decision support based on FMC-D time, built-in medical communication unit, built-in medical information sharing unit and quality control system of PCI hospital interventional images. The platform is divided into two parts - medical unit terminals (including EMS terminal, non-PCI hospital terminal and PCI hospital terminal) and cloud computing server, in which data is exchanged via 3G/4G wireless networks. The system has the following characteristics: (1) Timeline, which is a collection of key nodes that describe the AMI patient care process, (2) Smart recommendation technology, for example recommending hospitals based on the distance, medical care ability, idle resource. (3) Capacity to support, such as large number of concurrent collaborative treatment process among multiple PCI hospitals, multi-non-PCI medical institutions, and multi-EMS institutions, as well as the PB level data which are generated in the process.
机译:在《 2015年中国心血管疾病报告》中,研究表明,自2005年以来,急性心肌梗死(AMI)的死亡率迅速上升。2014年的死亡率为123.92 / 10万,比2002年高4.4倍。目前,在中国无论是农村还是城市地区,死因排在第一位。本文提出了一种基于移动互联网,云计算和大数据挖掘的医学信息共享平台。它旨在支持PB级数据管理和分析以及数百万个并发即时消息。该平台具有以下功能:基于FMC-D时间的智能交通决策支持,内置医疗通信单元,内置医疗信息共享单元以及PCI医院介入图像质量控制系统。该平台分为两个部分-医疗单位终端(包括EMS终端,非PCI医院终端和PCI医院终端)和云计算服务器,其中的数据通过3G / 4G无线网络进行交换。该系统具有以下特征:(1)时间线,它是描述AMI患者护理过程的关键节点的集合;(2)智能推荐技术,例如根据距离,医疗能力,空闲资源推荐医院。 (3)支持的能力,例如多个PCI医院,多个非PCI医疗机构和多个EMS机构之间的大量并行协同治疗过程,以及在过程中生成的PB级数据。

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