Analytics for Hospital Resource Planning-Two Case Studies

• 成果类型: Article
• 署名作者: Xie, Jingui; Zhuang, Weifen; Ang, Marcus; Chou, Mabel C.; Luo, Li; Yao, David D.
• 署名单位: Brunel University; Chinese Academy of Sciences; University of Science & Technology of China, CAS; Xiamen University; Singapore Management University; National University of Singapore; National University of Singapore; Sichuan University; Columbia University
• 刊物名称: PRODUCTION AND OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1059-1478
• DOI: 10.1111/poms.13158
• 发表日期: 2021
• 页码: 1863-1885
• 关键词: health-care; capacity allocation; management; demand; service; performance; simulation; OPERATIONS; IMPACT

摘要

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.