Hospitalization admission control of emergency patients using markovian decision processes and discrete event simulation

Martin Prodel 1 Vincent Augusto 1 Xiaolan Xie 1
1 CIS-ENSMSE - Centre Ingénierie et Santé
Abstract : This paper addresses the hospitalization admission control policies of patients from an emergency department that should be admitted shortly or transferred. When an emergency patient arrives, depending on his/her health condition, a physician may decide to hospitalize him/her in a specific department. Patient admission depends on the availability of beds, the length of stay (LOS) and the reward of hospitalization which are both patient-class specific. The problem consists in determining patient admission policies in order to maximize the overall gain. We first propose a Markov Decision Process (MDP) Model for determination of the optimal patient admission policy under some restrictive and necessary assumptions such as exponentially distributed LOS. A simulation model is then built to assess MDP admission policies under realistic conditions. We show that MDP policies significantly improve the overall gain for different types of facilities.
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Communication dans un congrès
2014 Winter Simulation Conference, Dec 2014, Savannah, United States. IEEE Press Piscataway, NJ, USA ©2014, pp.Pages 1433-1444, 2014, Proceedings of the 2014 Winter Simulation Conference
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Martin Prodel, Vincent Augusto, Xiaolan Xie. Hospitalization admission control of emergency patients using markovian decision processes and discrete event simulation. 2014 Winter Simulation Conference, Dec 2014, Savannah, United States. IEEE Press Piscataway, NJ, USA ©2014, pp.Pages 1433-1444, 2014, Proceedings of the 2014 Winter Simulation Conference. 〈emse-01108932〉

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