Skip to main content

A Networked and Intelligent Regional Collaborative Treatment System for AMI

  • Conference paper
  • First Online:
  • 971 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10219))

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.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. 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)

    Google Scholar 

  2. 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)

    Google Scholar 

  3. Clancy, M.: Getting to ‘smart’ health care. Health Aff. 25(6), w589–w592 (2006)

    Article  Google Scholar 

  4. Lymberis, A.: Research and development of smart wearable health applications: the challenge ahead. Stud. Health Technol. Inform. 108, 155–161 (2004)

    Google Scholar 

  5. Irwig, L.: “Smart health choices,” Judy Irwig (2007)

    Google Scholar 

  6. 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

    Chapter  Google Scholar 

  7. Elgazzar, K., AboElFotoh, M., Martin, P., Hassanein, H.S.: Ubiquitous health monitoring using mobile web services. In: ANT/MobiWIS, pp. 332–339 (2012)

    Google Scholar 

  8. 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)

    Article  Google Scholar 

  9. 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)

    Article  Google Scholar 

Download references

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.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Ming Sheng , Jianwei Liu , Hongxia Liu , Yong Zhang , Chunxiao Xing or Yinan Li .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

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

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-59858-1_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59857-4

  • Online ISBN: 978-3-319-59858-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics