Abstract
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.
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Warren, S., Craft, R., Bosma, B.: Designing smart health care technology into the home of the future. In: Workshops on Future Medical Devices, vol. 2, p. 667 (1999)
Fox, S., Rainie, L.: Vital decisions: how internet users decide what information to trust when they or their loved ones are sick: plus a guide from the medical library association about smart health-search strategies and good web sites. Pew Internet & American Life Project (2002)
Clancy, M.: Getting to ‘smart’ health care. Health Aff. 25(6), w589–w592 (2006)
Lymberis, A.: Research and development of smart wearable health applications: the challenge ahead. Stud. Health Technol. Inform. 108, 155–161 (2004)
Irwig, L.: “Smart health choices,” Judy Irwig (2007)
Kao, H.-Y., Cheng, Y.-T., Chien, Y.-K.: Develop and evaluate the mobile-based self-management application for tele-healthcare service. In: Ali, M., Pan, J.-S., Chen, S.-M., Horng, M.-F. (eds.) IEA/AIE 2014. LNCS, vol. 8481, pp. 460–469. Springer, Cham (2014). doi:10.1007/978-3-319-07455-9_48
Elgazzar, K., AboElFotoh, M., Martin, P., Hassanein, H.S.: Ubiquitous health monitoring using mobile web services. In: ANT/MobiWIS, pp. 332–339 (2012)
García-Sánchez, P., González, J., Miguel Mora, A., Prieto, A.: Deploying intelligent E-health services in a mobile gateway. Expert Syst. 40(4), 1231–1239 (2013)
Deng, Z., Mo, X., Liu, S.: Comparison of the middle-aged and older users’ adoption of mobile smart health services in China. Int. J. Med. Inform. 83(3), 210–224 (2014)
Acknowledgment
This work was supported by NSFC (91646202), the National High-tech R&D Program of China (Grant No. SS2015AA020102), the 1000-Talent program, Tsinghua University Initiative Scientific Research Program.
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Sheng, M., Liu, J., Liu, H., Zhang, Y., Xing, C., Li, Y. (2017). A Networked and Intelligent Regional Collaborative Treatment System for AMI. In: Xing, C., Zhang, Y., Liang, Y. (eds) Smart Health. ICSH 2016. Lecture Notes in Computer Science(), vol 10219. Springer, Cham. https://doi.org/10.1007/978-3-319-59858-1_13
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DOI: https://doi.org/10.1007/978-3-319-59858-1_13
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