Patient-to-room assignment with single-rooms entitlements: Combinatorial insights and integer programming formulations
Patient-to-room assignment (PRA) is a scheduling problem in decision support for hospitals. It consists of assigning patients to rooms during their stay at a hospital according to certain conditions and objectives, e.g., ensuring gender separated rooms, avoiding transfers and respecting single-room...
Uloženo v:
| Vydáno v: | European journal of operational research Ročník 325; číslo 1; s. 20 - 37 |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier B.V
16.08.2025
|
| Témata: | |
| ISSN: | 0377-2217 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Shrnutí: | Patient-to-room assignment (PRA) is a scheduling problem in decision support for hospitals. It consists of assigning patients to rooms during their stay at a hospital according to certain conditions and objectives, e.g., ensuring gender separated rooms, avoiding transfers and respecting single-room requests. This work presents combinatorial insights about the feasibility of PRA and about how (many) single-room requests can be respected. We further compare different integer programming (IP) formulations for PRA as well as the influence of different objectives on the runtime using real-world data. Based on these results, we develop a fast IP-based solution approach, which obtains high quality solutions. In contrast to previous IP-formulations, the results of our computational study indicate that large, real-world instances can be solved to a high degree of optimality within (fractions of) seconds. We support this result by a computational study using a large set of realistic but randomly generated instances with 50% to 95% capacity utilisation.
•Insights about real-life patient-to-room assignment (PRA) in German hospitals.•Hands-on formula for checking an instance’s feasibility.•Efficient computation of the number of fulfillable single-room requests.•Exact solution approach for PRA evaluated on real-life data.•Efficient BIP-based heuristic obtains high quality solution for dynamic PRA. |
|---|---|
| ISSN: | 0377-2217 |
| DOI: | 10.1016/j.ejor.2025.02.018 |