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| Yousefi,Milad; Yousefi,Moslem; Fogliatto,F.S.; Ferreira,R.P.M.; Kim,J.H.. |
| The objective of this study was to develop an agent based modeling (ABM) framework to simulate the behavior of patients who leave a public hospital emergency department (ED) without being seen (LWBS). In doing so, the study complements computer modeling and cellular automata (CA) techniques to simulate the behavior of patients in an ED. After verifying and validating the model by comparing it with data from a real case study, the significance of four preventive policies including increasing number of triage nurses, fast-track treatment, increasing the waiting room capacity and reducing treatment time were investigated by utilizing ordinary least squares regression. After applying the preventing policies in ED, an average of 42.14% reduction in the number... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: LWBS; Emergency department; Agent based simulation; Cellular automata; Healthcare industry. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2018000300610 |
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| Yousefi,M.; Ferreira,R.P.M.. |
| This study presents an agent-based simulation modeling in an emergency department. In a traditional approach, a supervisor (or a manager) allocates the resources (receptionist, nurses, doctors, etc.) to different sections based on personal experience or by using decision-support tools. In this study, each staff agent took part in the process of allocating resources based on their observation in their respective sections, which gave the system the advantage of utilizing all the available human resources during the workday by being allocated to a different section. In this simulation, unlike previous studies, all staff agents took part in the decision-making process to re-allocate the resources in the emergency department. The simulation modeled the behavior... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Agent-based simulation; Patient flow; Decision making; Emergency department; Health industry. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2017000500701 |
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