Publication Type
Journal Article
Version
acceptedVersion
Publication Date
6-2021
Abstract
Using real data and process flows from two large hospitals (in Singapore and in Chengdu, China) as cases, we illustrate how to apply certain modeling and optimization techniques, along with simulation as a validation tool, to hospital resource planning problems. We demonstrate how these simple analytical tools can help achieve significant improvements in both patient service and resource utilization, and without the need to increase the overall level of existing capacities. Two resource planning problems are studied in detail, one concerns the re-balancing of bed capacities among various wards, and the other addresses the allocation of medical diagnostic resource among different types of patients.
Keywords
hospital resource planning, bed capacity allocation, diagnostic resource allocation
Discipline
Health and Medical Administration | Operations and Supply Chain Management
Research Areas
Operations Management
Publication
Production and Operations Management
Volume
30
Issue
6
First Page
1863
Last Page
1885
ISSN
1059-1478
Identifier
10.1111/poms.13158
Publisher
Wiley: 24 months
Citation
XIE, Jingui; ZHUANG, Weifen; ANG, Marcus; CHOU, Mabel C.; LUO, Li; and YAO, David D..
Analytics for hospital resource planning: Two case studies. (2021). Production and Operations Management. 30, (6), 1863-1885.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/6525
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1111/poms.13158
Included in
Health and Medical Administration Commons, Operations and Supply Chain Management Commons