One Transfer perPatient Suffices: Structural Insights About Patient-to-Room Assignment
Autor(en): | Brandt, Tabea Büsing, Christina Knust, Sigrid |
Herausgeber: | Ljubić, I. Barahona, F. Dey, S.S. Mahjoub, A.R. |
Stichwörter: | Assignment problems; Combinatorial optimization; Combinatorial problem; Minimizing the number of; Patient transfer; Patient-to-room assignment; Structural insights | Erscheinungsdatum: | 2022 | Herausgeber: | Springer Science and Business Media Deutschland GmbH | Journal: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Volumen: | 13526 LNCS | Startseite: | 245 – 259 | Zusammenfassung: | Assigning patients to rooms is a fundamental task in hospitals and, especially, within wards. For this so-called patient-to-room assignment problem (PRA) many heuristics have been proposed with a large variety of different practical constraints. However, a thorough investigation of the problem's structure itself has been neglected so far. In this paper, we present insights about the basic, underlying combinatorial problem of PRA forbidding gender-mixed room assignments with a focus on minimizing the number of patient transfers which occur if patients have to change rooms during their stay. Particularly, we prove that in the case of double bedrooms, each patient has to be transferred at most once. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
Beschreibung: | Cited by: 0; Conference name: 7th International Symposium on Combinatorial Optimization, ISCO 2022; Conference date: 18 May 2022 through 20 May 2022; Conference code: 287399 |
ISBN: | 9783031185298 | ISSN: | 0302-9743 | DOI: | 10.1007/978-3-031-18530-4_18 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145252698&doi=10.1007%2f978-3-031-18530-4_18&partnerID=40&md5=c6607c59b6f891823e5c28ae26c40bb1 |
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geprüft am 01.06.2024