A Framework for emergency department management: a proposal based on process mining and simulation

Authors

  • Fábio Pegoraro Dr, Industrial and Systems Engineering, Department of Medicine, University of Gurupi (UNIRG), Brazil
  • Ana Caroline Costa Marques Graduating in Business Administration, University of Gurupi (UNIRG), Brazil
  • Geovana Maciel Lima Graduating in Medicine, University of Gurupi (UNIRG), Brazil
  • Rise Consolação Iuata Costa Rank Dr. Department of Pediatric Dentistry, University of Gurupi (UNIRG), Brazil
  • Nelita Gonçalves Faria de Bessa Dr. Department of Medicine, University of Gurupi (UNIRG), Brazil
  • Francicero Rocha Lopes Dr. Department of Medicine, University of Gurupi (UNIRG), Brazil
  • Karine Poletto Dr. Department of Medicine, University of Gurupi (UNIRG), Brazil
  • Samara Tatielle Monteiro Gomes Dr. Department of Medicine, University of Gurupi (UNIRG), Brazil
  • Jaqueline Cibene Moreira Borges Dr. Department of Medicine, University of Gurupi (UNIRG), Brazil
  • Sara Falcão de Sousa Dr. Department of Medicine, University of Gurupi (UNIRG), Brazil
  • Renata Oliveira Coelho Physician Specialist in Clinical Medicine,, Brazil
  • Fernanda Wanka Laus M.Sc. Department of Medicine, Pontifical Catholic University of Paraná (PUCPR), Brazil

Keywords:

Simulation, Process Mining, Emergency Department, Decision-Making

Abstract

An emergency department (ED) face random demands from patients with different needs, which may contribute to their overcrowding. therefore, the present study designed a framework to support decision making in ED management. The framework integrates simulation techniques supported by process mining. Simulation was used in this work because it contributes to capture the randomness and complexity of patient flow in the ED and support the decision-making process. However, the data to feed a simulation model is usually collected manually from the time between patient arrivals in the ED, time for triage, interviews with experts, among others. Nevertheless, use only these collection techniques may be error-induced because they are based on human perceptions, as well as they are long. In this sense, process mining contributed to the construction of the studied ED simulation model through the discovery of the real process and the historical data of the patients registered in the event log. Through process mining, little conceptual modeling effort was used for the simulation model, which may contribute to encouraging the use of simulation in hospital environments.

References

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Published

2022-01-14

How to Cite

Pegoraro, F., Costa Marques, A. C., Maciel Lima, G., Consolação Iuata Costa Rank, R., Gonçalves Faria de Bessa, N., Rocha Lopes, F., Poletto, K., Monteiro Gomes, S. T., Cibene Moreira Borges, J., Falcão de Sousa, S., Oliveira Coelho, R., & Wanka Laus, F. (2022). A Framework for emergency department management: a proposal based on process mining and simulation. American Academic Scientific Research Journal for Engineering, Technology, and Sciences, 85(1), 223–234. Retrieved from https://www.asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/7246

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