Decision support for rehabilitation hospital scheduling

Katja Schimmelpfeng, Stefan Helber () and Steffen Kasper

Hannover Economic Papers (HEP) from Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät

Abstract: We present a detailed analysis of the patient and resource scheduling problem in rehabilitation hospitals. In practice, the predominantly therapeutical treatments and activities which are prescribed for the patients are typically scheduled manually. This leads to rigid and inefficient schedules which can have negative effects on the quality of care and the patients' satisfaction. We outline the conceptual framework of a decision support system for the scheduling process that is based on formal optimization models. To this end, we first develop a large-scale monolithic optimization model. Then we derive a numerically tractable hierarchical model system in order to deal with problem instances of realistic sizes. We report numerical results with respect to solution times, model sizes and solution quality.

Keywords: rehabilitation hospital scheduling; decision support; decomposition; mathematical programming (search for similar items in EconPapers)
JEL-codes: C61 (search for similar items in EconPapers)
Pages: 25 pages
Date: 2010-10
New Economics Papers: this item is included in nep-cmp
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Citations: View citations in EconPapers (3)

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