A Novel Mobile-Cloud based Healthcare Framework for Diabetes

Maria Salama, Ahmed Shawish

2014

Abstract

Healthcare is one of the most important sectors in all countries; consuming an average of 9.5% of their domestic product. Among the widely spread endemic diseases, Diabetes is particularly a non-cured one that consumes medical resources, follow-up efforts, regular set of diverse checkups, continual needs for physicians and medical supplies. The current advanced healthcare systems succeeded to be a reservoir of healthcare records focussing on emergency and medical imaging only. At the same time, most of the currently deployed systems cannot provide a daily follow up to patients as well as not being able to help governments to smartly allocate their medical resources. In this paper, we propose a comprehensive framework that incorporates Mobile and Cloud computing with data mining techniques to efficiently provide a real-time smart healthcare framework for Diabetes. Mobile application is emerged as a widely deployed communication tool between the patients and the proposed system hosted on the Cloud. The Cloud is incorporated to accommodate the system due to its known features that makes it possible to acquire continually fresh data from the field. The data is then processed through smart data mining techniques to extract knowledge and draw conclusions for governments. As discussed in the paper, the proposed framework promises a significant enhancement in the resources allocation and utilization, as well as provides a faster emergency response. The proposed architecture has been simulated using Junosphere, a cloud simulator, and it could represent a significant step towards future smart healthcare systems specialized to cover other endemic diseases.

References

  1. Retrieved 2012, from glucose buddy: http://www.glucosebuddy.com/
  2. Retrieved 2013, from QiC Quality in Care: http://www.qualityincareblog.org.
  3. Retrieved 2012, from IBG Star: http://www.ibgstar.us.
  4. Retrieved April 2013, from Organization of economics cooperation and development: http://www.oecd.org/
  5. Retrieved 2013, from Diabetes.co.uk: http:// www.diabetes.co.uk/
  6. Retrieved 2013, from BBC - Health: Diabetes: http://www.bbc.co.uk/health/physical_health/condition s/in_depth/diabetes/index.shtml.
  7. Retrieved 2013, from Diabetes matters: https:// www.diabetesmatters.co.uk/
  8. bglumon. (2012). Retrieved 2012, from Apple Store: http://itunes.apple.com/us/app/bglumon-bloodglucose-monitor/id353118307?mt=8.
  9. Botts, N., Thoms, B., Noamani, A., and Horan, T. (2010). Cloud Computing Architectures for the Underserved: Public Health Cyberinfrastructures through a Network of HealthATMs. 43rd Hawaii Int. Conf. on System Sciences (HICSS). Hawaii, USA.
  10. Diabetes amputation rates show huge regional variation . (2012). Retrieved 2013, from BBC News: http://www.bbc.co.uk/news/health-17270379.
  11. Doukas, C., Pliakas, T., and Maglogiannis, I. (2010). Mobile healthcare information management utilizing Cloud Computing and Android OS. Annual Int. Conf. IEEE Engineering in Medicine and Biology Society (EMBC). Buenos Aires, Argentina.
  12. Hamdan, S. (2011). Rapid Increase of Diabetes Strains Middle East's Health Agencies. New York Times, The International Herald Tribune Section.
  13. Junosphere. (2013). Retrieved November 2013, from Juniper Networks: http://www.juniper.net.
  14. Koufi, V., Malamateniou, F., and Vassilacopoulos, G. (2010). Ubiquitous access to cloud emergency medical services. 10th IEEE Int. Conf. on Information Tech. and App. in Biomedicine (ITAB). Corfu, Greece.
  15. Levy, K., Sargent, B., and Bai, Y. (2011). A trust-aware tag-based privacy control for eHealth 2.0. Information technology education. West Point, NY, USA.
  16. Löhr, H., Sadeghi, A., and Winandy, M. (2010). Securing the e-health cloud. 1st ACM Int. Health Informatics Symposium (IHI'10). Arlington, VA, USA.
  17. Mohammed, D., and Fiaidhi, J. (2010). HCX: A Distributed OSGi Based Web Interaction System for Sharing Health Records in the Cloud. IEEE/WIC/ACM Int. Conf. on Web Intelligence and Intelligent Agent Technology (WI-IAT). Toronto, Canada.
  18. On Track. (2012). Retrieved 2012, from Android Market: https://play.google.com/store/apps/details ?id=com.gexperts.ontrackandhl=en.
  19. Salama, M., and Shawish, A. (2013). A Comprehensive Mobile-Based Companion for Diabetes Management. 7th WSEAS European Computing Conf. Dubrovnik, Croatia: WSEAS.
  20. Vazhenin, D. (2012). Cloud-based Web-service for Health 2.0. Int. Conf. on Human-Centered Computer Environments. Aizu-Wakamatsu, Japan.
  21. Vree. (2012). Retrieved 2012, from Apple Store: http://itunes.apple.com/us/app/vree-fordiabetes/id355923059?mt=8.
  22. Wooten, R., Klink, R., Sinek, F., Bai, Y., and Shar, M. (2012). Design and Implementation of a Secure Healthcare Social Cloud System. 12th IEEE/ACM Int. Symp. Cluster, Cloud and Grid Computing (CCGRID 2012). Ottawa, Canada.
Download


Paper Citation


in Harvard Style

Salama M. and Shawish A. (2014). A Novel Mobile-Cloud based Healthcare Framework for Diabetes . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014) ISBN 978-989-758-010-9, pages 262-269. DOI: 10.5220/0004750702620269


in Bibtex Style

@conference{healthinf14,
author={Maria Salama and Ahmed Shawish},
title={A Novel Mobile-Cloud based Healthcare Framework for Diabetes},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)},
year={2014},
pages={262-269},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004750702620269},
isbn={978-989-758-010-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)
TI - A Novel Mobile-Cloud based Healthcare Framework for Diabetes
SN - 978-989-758-010-9
AU - Salama M.
AU - Shawish A.
PY - 2014
SP - 262
EP - 269
DO - 10.5220/0004750702620269