Abstract
Traditionally, simulation models serve long-term decision making and are built based on manually collected statistical data, equipment specifications, and so on. This raises the time for the construction of the models which does not justify the support of the simulation for the short term decision making. However, hospital environments equipped with data collection and storage software contribute to the process mining technique to reliably capture how the processes are being executed and this facilitates the rapid construction of simulation models that justify decision making in the short term. Due to the characteristics of the processes and the high variability of the demand in the first aid, the operational decisions are evidenced, in this way, the study presents a short-term simulation framework with the aid of process mining to meet the demand of patients in the first aid.
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We thank the Araucária Foundation for the financial support provided to carry out this work.
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Pegoraro, F., Santos, E.A.P., de Freitas Rocha Loures, E., da Silva Dias, G., dos Santos, L.M., Coelho, R.O. (2018). Short-Term Simulation in Healthcare Management with Support of the Process Mining. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 746. Springer, Cham. https://doi.org/10.1007/978-3-319-77712-2_68
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