Abstract
In this chapter, we focus on reducing fluctuations in bed usage of scheduled admissions. We hypothesize that a substantial part of the fluctuation of
demand for bed capacity can be reduced by improving the planning methods used to schedule those patients in the operating theatre. We test a model of a “cyclical case type schedule” to reduce the fluctuations in bed usage of planned admissions. The results show that it brings a large improvement potential to reduce the maximum number of required beds on peak moments. Importantly, this was demonstrated without a (substantial) increase in waiting times for patients. This approach can be used to increase the number of available beds for emergency admissions, reduce the workload for nurses, or reduce the number of required beds.
demand for bed capacity can be reduced by improving the planning methods used to schedule those patients in the operating theatre. We test a model of a “cyclical case type schedule” to reduce the fluctuations in bed usage of planned admissions. The results show that it brings a large improvement potential to reduce the maximum number of required beds on peak moments. Importantly, this was demonstrated without a (substantial) increase in waiting times for patients. This approach can be used to increase the number of available beds for emergency admissions, reduce the workload for nurses, or reduce the number of required beds.
Original language | English |
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Title of host publication | Handbook of Healthcare Logistics |
Subtitle of host publication | Bridging the Gap between Theory and Practice |
Publisher | Springer |
Chapter | 12 |
Pages | 231-247 |
Number of pages | 17 |
ISBN (Electronic) | 978-3-030-60212-3 |
ISBN (Print) | 978-3-030-60211-6 |
DOIs | |
Publication status | Published - 2021 |
Publication series
Name | International Series in Operations Research & Management Science |
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Publisher | Springer |
Volume | 302 |
ISSN (Print) | 0884-8289 |
ISSN (Electronic) | 2214-7934 |
Keywords
- 2022 OA procedure