A Networked and Intelligent Regional Collaborative Treatment System for AMI

作者：Sheng, Ming^*; Liu, Jianwei^*; Liu, Hongxia^*; Zhang, Yong^*; Xing, Chunxiao^*; Li, Yinan^*

来源：International Conference for Smarth Health (ICSH), Haikou, PEOPLES R CHINA, 2016-12-24 To 2016-12-25.

DOI：10.1007/978-3-319-59858-1_13

• PCI hospital
• STEMI
• AMI
• FMC-D time
• Data analysis
• Smart health

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.

• 出版日期2017
• 单位深圳清华大学研究院