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

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.
Type de document :
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
Liste complète des métadonnées

Littérature citée [19 références]  Voir  Masquer  Télécharger

https://hal-emse.ccsd.cnrs.fr/emse-01108932
Contributeur : Amélie Chatagnon <>
Soumis le : lundi 4 janvier 2016 - 16:29:36
Dernière modification le : lundi 22 février 2016 - 17:00:57
Document(s) archivé(s) le : jeudi 7 avril 2016 - 16:26:31

Fichier

2014 Hospitalization admission...
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

  • HAL Id : emse-01108932, version 1

Collections

Citation

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〉

Partager

Métriques

Consultations de la notice

154

Téléchargements de fichiers

194