On Patient Flow in Hospitals: A Data-Based Queueing-Science Perspective-Reference-Cited by-同舟云学术

On Patient Flow in Hospitals: A Data-Based Queueing-Science Perspective

Published:2015-06 Issue:1 Volume:5 Page:146-194
ISSN:1946-5238
Container-title:Stochastic Systems
language:en
Short-container-title:Stochastic Systems

Author:

Armony Mor¹,Israelit Shlomo²,Mandelbaum Avishai³,Marmor Yariv N.⁴,Tseytlin Yulia⁵,Yom-Tov Galit B.³

Affiliation:

1. Stern School of Business, NYU 44 West 4th Street, New York, NY 10012

2. Director, Emergency Trauma Department, Rambam Health Care Campus (RHCC), 6 Ha’Aliya Street, Haifa, Israel, 31096

3. Faculty of Industrial Engineering and Management, Technion—Israel Institute of Technology, Technion city, Haifa, Israel, 32000

4. Department of Industrial Engineering and Management, ORT Braude College Karmiel, Israel and Health Care Policy and Research Department, Mayo Clinic, 200 First Street SW Rochester, MN, USA, 55905

5. IBM Haifa Research Lab, Haifa University Campus, Mount Carmel, Haifa, Israel, 31905

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Modelling and Simulation,Statistics and Probability

Reference99 articles.

1. “We Will Be Right with You”: Managing Customer Expectations with Vague Promises and Cheap Talk

2. Dynamic Routing in Large-Scale Service Systems with Heterogeneous Servers

3. Armony, M., Chan, C. W. and Zhu, B. (2013). Critical Care in Hospitals: When to Introduce a Step Down Unit? Working paper, Columbia University.

4. Fair Dynamic Routing in Large-Scale Heterogeneous-Server Systems

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