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Towards Health 4.0: e-Hospital Proposal Based Industry 4.0 and Artificial Intelligence Concepts

  • Camilo CáceresEmail author
  • Joao Mauricio Rosário
  • Dario Amaya
Conference paper
  • 828 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11526)

Abstract

The implementation of the most recent technologies is a requirement in this fast-growing and competitive world, especially in the improvement and development of the healthcare area, that is fundamental in life quality enhancement. This article has as objective the utilization of AI and Industry 4.0 concepts oriented to the optimization of a hospital, using a case study an Emergency Department (ED). This proposal allows the development of a current proposal of e-Hospital based on Health 4.0 features and the use of computational ED models will allow the avoidance and detection of bottlenecks in the workflow. Those blockages are automatically removed using an improved shift management proposal based on control theory, AI, and telemedicine. The results show an optimization in the use of the resources and a reduction of the length of stay improving the service quality. The simulation tools allow the test and validation of novel proposals for e-health.

Keywords

Health 4.0 Discrete Event Simulation e-Hospital Emergency Department Evolutionary Algorithm Optimization 

References

  1. 1.
    Grigoriadis, N., Bakirtzis, C., Politis, C., Danas, K., Thuemmler, C., Lim, A.K.: A health 4.0 based approach towards the management of multiple sclerosis. In: Thuemmler, C., Bai, C. (eds.) Health 4.0: How Virtualization and Big Data are Revolutionizing Healthcare, pp. 205–218. Springer, Cham (2017).  https://doi.org/10.1007/978-3-319-47617-9_10CrossRefGoogle Scholar
  2. 2.
    Thuemmler, C.: The case for Health 4.0. In: Thuemmler, C., Bai, C. (eds.) Health 4.0: how virtualization and big data are revolutionizing healthcare, pp. 1–22. Springer, Cham (2017).  https://doi.org/10.1007/978-3-319-47617-9_1CrossRefGoogle Scholar
  3. 3.
    McHugh, M.: The Consequences of Emergency Department Crowding and Delays for Patients. In: Hall, R. (ed.) Patient Flow. International Series in Operations Research & Management Science, vol. 206, pp. 107–127. Springer, Boston (2013).  https://doi.org/10.1007/978-1-4614-9512-3_5CrossRefGoogle Scholar
  4. 4.
    Feussner, H., et al.: Surgery 4.0. In: Thuemmler, C., Bai, C. (eds.) Health 4.0: how virtualization and big data are revolutionizing healthcare, pp. 91–107. Springer, Cham (2017).  https://doi.org/10.1007/978-3-319-47617-9_5CrossRefGoogle Scholar
  5. 5.
    Marconi, G.P., Chang, T., Pham, P.K., Grajower, D.N., Nager, A.L.: Traditional nurse triage vs physician telepresence in a pediatric ED. Am. J. Emerg. Med. 32, 325–329 (2014)CrossRefGoogle Scholar
  6. 6.
    Ahmed, M.A., Alkhamis, T.M.: Simulation optimization for an emergency department healthcare unit in Kuwait. Eur. J. Oper. Res. 198, 936–942 (2009)CrossRefGoogle Scholar
  7. 7.
    Cáceres, C., Rosário, J.M., Amaya, D.: Proposal of a smart hospital based on Internet of Things (IoT) concept. In: Lepore, N., Brieva, J., Romero, E., Racoceanu, D., Joskowicz, L. (eds.) SaMBa 2018. LNCS, vol. 11379, pp. 93–104. Springer, Cham (2019).  https://doi.org/10.1007/978-3-030-13835-6_11CrossRefGoogle Scholar
  8. 8.
    Cáceres Flórez, C.A., Rosário, J.M., Amaya, D.: Control structure for a car-like robot using artificial neural networks and genetic algorithms. Neural Comput. Appl. 1–14 (2018).  https://doi.org/10.1007/s00521-018-3514-1

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.School of Mechanical EngineeringUniversity of CampinasCampinas, São PauloBrazil
  2. 2.Faculty of EngineeringNueva Granada Military UniversityBogotáColombia

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