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.
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References
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_10
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_1
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_5
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_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)
Ahmed, M.A., Alkhamis, T.M.: Simulation optimization for an emergency department healthcare unit in Kuwait. Eur. J. Oper. Res. 198, 936–942 (2009)
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_11
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
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Cáceres, C., Rosário, J.M., Amaya, D. (2019). Towards Health 4.0: e-Hospital Proposal Based Industry 4.0 and Artificial Intelligence Concepts. In: Riaño, D., Wilk, S., ten Teije, A. (eds) Artificial Intelligence in Medicine. AIME 2019. Lecture Notes in Computer Science(), vol 11526. Springer, Cham. https://doi.org/10.1007/978-3-030-21642-9_12
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