A stochastic model to minimize patient waiting time in an emergency department-Reference-Cited by-同舟云学术

A stochastic model to minimize patient waiting time in an emergency department

Published:2018-09 Issue: Volume:18 Page:16-25
ISSN:2211-6923
Container-title:Operations Research for Health Care
language:en
Short-container-title:Operations Research for Health Care

Author:

Daldoul Dorsaf,Nouaouri Issam,Bouchriha Hanen,Allaoui Hamid

Publisher

Elsevier BV

Subject

Management Science and Operations Research,General Health Professions,Medicine (miscellaneous)

Reference29 articles.

1. Institute of Medicine Committee on the Future of Emergency Care in the US Health System, Hospital-Based Emergency Care: At the Breaking Point, National Academies Press, 2006.

2. Rapport Agence Régionale de Santé, l’évolution des activités des urgences hospitalières en région Rhône-Alpes, 2012.

3. Modeling the impact of changing patient flow processes in an emergency department: Insights from a computer simulation study;Konrad;Oper. Res. Health Care,2013

4. Optimization of healthcare emergency departments by agent-based simulation;Cabrera;Procedia Comput. Sci.,2011

5. MeaH Réduire les temps d’attente et de passage aux urgences, Dispositif de déploiement 2006–2007 Bilan et résultats obtenus, dispositif de déploiement 2006–2007 Bilan et résultats obtenus, 2008.

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