60. Trade-off analysis of different objective functions for the patient-to-room assignment problem
Invited abstract in session MD-2: Patient to room, stream Sessions.
Monday, 13:30-15:00Room: NTNU, Realfagbygget R8
Authors (first author is the speaker)
| 1. | Johanna Leweke
|
| Research and Teaching Area Combinatorial Optimization, RWTH Aachen University | |
| 2. | Christina Büsing
|
| Lehr- und Forschungsgebiet Kombinatorische Optimierung, RWTH Aachen University | |
| 3. | Tabea Brandt
|
| Lehr- und Forschungsgebiet Kombinatorische Optimierung, RWTH Aachen |
Abstract
Upon arriving at a hospital, patients need to be assigned to rooms where they will spend most of their stay. This patient-to-room assignment serves multiple objectives such as minimizing patient transfers between rooms and/or maximizing single-room requests.
It is insufficient to consider these objectives independently; practitioners are often interested in solutions that simultaneously optimize multiple objectives and the trade-offs between them. We first consider theoretical questions such as: What is the maximum number of single-room requests that can be fulfilled when no transfers are allowed? And what is the minimum number of transfers required to fulfill the maximum number of single-room requests?
We then evaluate the empirical trade-off between these two objectives and the effect of using combinatorial insights on the optimization in a computational study based on real-world data.
Keywords
- Strategic and operational planning
- Decision support
- Analytics
Status: accepted
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