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SmartHealth Simulation Representing a Hybrid Architecture Over Cloud Integrated with IoT

A Modular Approach
  • Sarah ShafqatEmail author
  • Almas Abbasi
  • Tehmina Amjad
  • Hafiz Farooq Ahmad
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 887)

Abstract

Every field is being evolved in a new direction with the technological advancement. In case of healthcare, the traditional system is being transferred over to cloud with integration of Internet of Things (IoT) inclusive of all the smart devices, wearable body sensors and mobile networks. This healthcare community cloud would be a beginning of context aware services being provided to patients at their home or at the place of medical incident. This context aware platform built over the cloud and IoT integrated infrastructure would save cost as well as time to reach to hospital and ensuring the availability of services by the qualified staff. In this paper, researchers would be simulating the healthcare community cloud that is context aware of the patients based on their current medical condition. This simulation model is compared to another previously simulated SelfServ Platform in combination with societal information system that used NetLogo.

Keywords

Hybrid cloud simulation Learning Healthcare System Healthcare analytics Community cloud 

Notes

Acknowledgment

This paper would not have existed without the guidance and support of Dr Tehmina Amjad, Dr Almas Abbasi and Dr Hafiz Farooq Ahmad who are already regarded as eminent scholars in the field.

References

  1. 1.
    Boukenze, B., Mousannif, H., Haqiq, A.: Predictive analytics in healthcare system using data mining techniques. Comput. Sci. Inf. Technol., Hassan 1st University, Morocco and Cadi Ayyad University, Morocco (2016)Google Scholar
  2. 2.
    Krumholz, H.M.: Big data and new knowledge in medicine: the thinking, training, and tools needed for a learning health system. Health Aff. 33(7), 1163–1170 (2014)CrossRefGoogle Scholar
  3. 3.
    Kaggal, V.C., et al.: Toward a learning healthcare system – knowledge delivery at the point of care empowered by big data and NLP. Innov. Clin. Inform., Division of Information Management and Analytics, Mayo Clinic, Rochester, MN, USA (2016)Google Scholar
  4. 4.
    Botta, A., et al.: Integration of cloud computing and internet of things: a survey. Future Gener. Comput. Syst., University of Napoli Federico II, Italy (2016)Google Scholar
  5. 5.
    Moein, S., Moallem, P., Monadjemi, A.: A Novel Fuzzy-Neural Based Medical Diagnosis System. University of Isfahan, Isfahan (2009)Google Scholar
  6. 6.
    Florio, V., et al.: Towards a smarter organization for a self-servicing society. In: ACM DSAI 2016, Morocco & Belgium (2016)Google Scholar
  7. 7.
    Anagnostou, A., Taylor, S.J.E.: A distributed simulation methodological framework for OR/MS applications. Simul. Model. Pract. Theory 70, 101–119. Elsevier, Department of Computer Science, Brunel University London, UK (2017)Google Scholar
  8. 8.
    Du, H., Taveter, K., Huhns, M.N.: Simulating a societal information system for healthcare. In: Proceedings of the Federated Conference on Computer Science and Information Systems, pp. 1239–1246. University of South California, USA (2012)Google Scholar
  9. 9.
    Zhao, J., et al.: Learning from heterogeneous temporal data in electronic health records. J. Biomed. Inform. 65, 105–119. Stockholm University, Sweden (2017)Google Scholar
  10. 10.
    Ling, Z.J., et al.: GEMINI: an integrative healthcare analytics system. Proc. VLDB Endow. 7(13). National University Health System, Singapore (2014)Google Scholar
  11. 11.
    Kulkarni, S.M., Babu, B.S.: Cloud-based patient profile analytics system for monitoring diabetes mellitus. IJITR, 228–231 (2015)Google Scholar
  12. 12.
    Cheng, Y., Wang, F., Zhang, P., Hu, J.: Risk prediction with electronic health records: a deep learning. Healthc. Anal. Res.,[IBM T.J. Watson Research Center and University of Connecticut (2016)Google Scholar
  13. 13.
    Ramesh, A., Kambhampati, C., Monson, J., Drew, P.: Artificial intelligence in medicine. The Royal College of Surgeons of England (2004)Google Scholar
  14. 14.
    Young, S.R., Rose, D.C., Karnowski, T.P., Lim, S., Patton, R.M.: Optimizing deep learning hyper-parameters through an evolutionary algorithm. MLHPC2015, ACM, 15–20 November, Oak Ridge National Laboratory (2015)Google Scholar
  15. 15.
    Alba, E., Giacobini, M., Tomassini, M., Romero, S.: Comparing Synchronous and Asynchronous Cellular Genetic Algorithms. University of Malaga, Spain and University of Lausanne, Switzerland (2000)Google Scholar
  16. 16.
    Miotto, R., et al.: Deep patient: an unsupervised representation to predict the future of patients from the electronic health records. Scientific Reports, Icahn School of Medicine at Mount Sinai, New York, NY (2016)Google Scholar
  17. 17.
    Baldwin, W.C., Saucer, B.J., Boardman, J.: Revisiting “the meaning of of” as a theory for collaborative system of systems. IEEE Syst. J. University of North Texas, USA (2015)Google Scholar
  18. 18.
    Sumari, S., et al.: Comparing three simulation model using taxonomy: system dynamic simulation, discrete event simulation and agent based simulation. Int. J. Manag. Excell. 1(3). Faculty of Computing, Universiti Teknologi Malaysia (2013)Google Scholar
  19. 19.
    Marshall, D.A., et al.: Transforming healthcare delivery: integrating dynamic simulation modelling and big data in health economics and outcomes research. PharmacoEconomics Springer, Clinical Engineering Learning Lab, Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, MN, USA (2015)CrossRefGoogle Scholar
  20. 20.
    Shukla, N., Keast, J.E., Ceglarek, D.: Role activity diagram-based discrete event simulation model for healthcare service delivery processes. Int. J. Syst. Sci., Online First 1–16, University of Wollongong, Wollongong, NSW, Australia, University of Wisconsin, Madison, USA (2015)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Sarah Shafqat
    • 1
    • 2
    Email author
  • Almas Abbasi
    • 1
  • Tehmina Amjad
    • 1
  • Hafiz Farooq Ahmad
    • 3
  1. 1.Department of Basic and Applied SciencesInternational Islamic University (IIU)IslamabadPakistan
  2. 2.Founder and President DreamSofTechIslamabadPakistan
  3. 3.Department of Computer Science, College of Computer Sciences and Information Technology (CCSIT)King Faisal University (KFU)AlahsaKingdom of Saudi Arabia

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