Analytics for hospital resource planning: Two case studies
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 analy...
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| Main Authors: | , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2021
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/lkcsb_research/6525 https://ink.library.smu.edu.sg/context/lkcsb_research/article/7524/viewcontent/Analytics_hospital_res_plan_2020_av.pdf |
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| Institution: | Singapore Management University |
| Language: | English |
| Summary: | 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. |
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