Title: A study of decision support models for online patient-to-room assignment planning
Authors: Vancroonenburg, Wim ×
De Causmaecker, Patrick #
Vanden Berghe, Greet #
Issue Date: Apr-2016
Publisher: Baltzer Science Publishers
Series Title: Annals of Operations Research vol:239 issue:1 pages:253-271
Abstract: The present paper studies patient-to-room assignment planning in a dynamic context. To this end, an extension of the patient assignment (PA) problem formulation is proposed, for which two online ILP-models are developed. The first model targets the optimal assignment for newly arrived patients, whereas the second also considers future, but planned, arrivals. Both models are compared on an existing set of benchmark instances from the PA planning problem, which serves as the basic problem setting. These instances are then extended with additional parameters to study the effect of uncertainty on the patients’ length of stay, as well as the effect of the percentage of emergency patients. The results show that the second model provides better results under all conditions, while still being computationally tractable. Moreover, the results show that pro-actively transferring patients from one room to another is not necessarily beneficial.
ISSN: 0254-5330
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Computer Science Technology TC, Technology Campuses Ghent and Aalst
Technologiecluster Computerwetenschappen
Computer Science, Campus Kulak Kortrijk
Informatics Section
× corresponding author
# (joint) last author

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anor-patat2012.pdf Accepted 221KbAdobe PDFView/Open Request a copy
art%3A10.1007%2Fs10479-013-1478-1.pdf Published 1241KbAdobe PDFView/Open Request a copy

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