Table of Contents
Advances in Emergency Medicine
Volume 2014, Article ID 478675, 7 pages
Research Article

A Simulated Discrete-Event and Queuing Model to Reduce Transfers from the Emergency Department and to Optimize Hospital Bed Management

1Université Pierre et Marie Curie-Paris 6, UMR S 707, 75012 Paris, France
2Hôpital Saint Camille, 94360 Bry-sur-Marne, France
3Study Group on Efficiency and Quality in Non-Scheduled Activities, 75018 Paris, France
4Department of Medical Information, AP-HP, Hôpital Saint Antoine, 75012 Paris, France
5Emergency Department, AP-HP, Hôpital Bichat-Claude Bernard, 75018 Paris, France
6Université Paris Diderot, Sorbonne Paris Cité, UA REMES, 75013 Paris, France
7Department of Intensive Care, AP-HP, Hôpital Saint Antoine, 75012 Paris, France

Received 18 August 2014; Accepted 9 November 2014; Published 1 December 2014

Academic Editor: Michael Blaivas

Copyright © 2014 M. Wargon et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Alain Guinet, Nadine Meskens, and Tao Wang, “A Multi-objective Patient Admission Planning Improving Resources Utilisation Under Bed Capacity Constraints,” Health Care Systems Engineering for Scientists and Practitioners, vol. 169, pp. 13–24, 2016. View at Publisher · View at Google Scholar
  • Tolu K. Abe, Benita M. Beamon, Richard L. Storch, and Justin Agus, “Operations research applications in hospital operations: Part III,” IIE Transactions on Healthcare Systems Engineering, pp. 00–00, 2016. View at Publisher · View at Google Scholar
  • Paolo Landa, Michele Sonnessa, Elena Tànfani, and Angela Testi, “Multiobjective bed management considering emergency and elective patient flows,” International Transactions in Operational Research, 2016. View at Publisher · View at Google Scholar