Off-service Placement in Inpatient Ward Network: Resource Pooling versus Service Slowdown

41 Pages Posted: 10 Jan 2019 Last revised: 31 Jul 2019

See all articles by Jing Dong

Jing Dong

Columbia University

Pengyi Shi

Purdue University - Krannert School of Management

Fanyin Zheng

Columbia University - Columbia Business School

Xin Jin

National University Hospital, Singapore

Date Written: July 18, 2019

Abstract

Inpatient ward beds play a central role in hospital operations. To better facilitate coordination of care, the beds are usually grouped into different specialized units, with each unit designated to serve patients in certain primary specialties. However, inpatient wards are often associated with high level of bed utilization and large variability in demand. When waiting time is excessively long before a bed in the primary ward becomes available, the patient may be assigned to a bed in a non-primary ward. This is referred to as off-service placement. In this paper, we take a data-driven approach to study off-service placement by taking into account three key aspects of the problem: the network structure of the wards; the complex bed assignment decisions; and the causal effect of off-service placement on patient outcome. Our analysis quantifies the trade-off between off-service placement and admission delay, and provides prescriptive solutions to improve system performance.

Keywords: Inpatient Bed Management, Off-service Placement, Network Effect, Patient Outcome, Empirical Methods, Stochastic Models

Suggested Citation

Dong, Jing and Shi, Pengyi and Zheng, Fanyin and Jin, Xin, Off-service Placement in Inpatient Ward Network: Resource Pooling versus Service Slowdown (July 18, 2019). Columbia Business School Research Paper Forthcoming. Available at SSRN: https://ssrn.com/abstract=3306853 or http://dx.doi.org/10.2139/ssrn.3306853

Jing Dong

Columbia University ( email )

3022 Broadway
New York, NY 10027
United States

Pengyi Shi

Purdue University - Krannert School of Management ( email )

1310 Krannert Building
West Lafayette, IN 47907-1310
United States

Fanyin Zheng (Contact Author)

Columbia University - Columbia Business School ( email )

3022 Broadway
New York, NY 10027
United States

HOME PAGE: http://www.fanyinzheng.com

Xin Jin

National University Hospital, Singapore ( email )

5 Lower Kent Ridge Rd
Singapore, 119074
Singapore

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