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Analytics for Hospital Resource Planning—Two Case Studies
Author(s) -
Xie Jingui,
Zhuang Weifen,
Ang Marcus,
Chou Mabel C.,
Luo Li,
Yao David D.
Publication year - 2021
Publication title -
production and operations management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.279
H-Index - 110
eISSN - 1937-5956
pISSN - 1059-1478
DOI - 10.1111/poms.13158
Subject(s) - resource planning , resource (disambiguation) , analytics , computer science , resource allocation , process (computing) , service (business) , operations management , operations research , service level , hospital bed , business , medicine , data science , environmental resource management , nursing , marketing , computer network , environmental science , economics , engineering , operating system
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.