Analytics for Hospital Resource Planning—Two Case Studies

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

4 Scopus Citations
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Author(s)

  • Jingui Xie
  • Weifen Zhuang
  • Marcus Ang
  • Mabel C. Chou
  • Li Luo

Detail(s)

Original languageEnglish
Pages (from-to)1863–1885
Journal / PublicationProduction and Operations Management
Volume30
Issue number6
Online published9 Jan 2020
Publication statusPublished - Jun 2021
Externally publishedYes

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 rebalancing of bed capacities among various wards, and the other addresses the allocation of medical diagnostic resource among different types of patients. © 2020 Production and Operations Management Society

Research Area(s)

  • asymptotic optimality, optimization, resource allocation

Citation Format(s)

Analytics for Hospital Resource Planning—Two Case Studies. / Xie, Jingui; Zhuang, Weifen; Ang, Marcus; Chou, Mabel C.; Luo, Li; Yao, David D.

In: Production and Operations Management, Vol. 30, No. 6, 06.2021, p. 1863–1885.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review