Optimal scheduling using length-of-stay data for diverse routine procedures
Currie, Christine S.M. and Lu, Lanting (2009) Optimal scheduling using length-of-stay data for diverse routine procedures. In, McClean, Sally, Millard, Peter, El-Darzi, Elia and Nugent, C.D. (eds.) Intelligent Patient Management. Berlin, Springer, 193-205. (Studies in Computational Intelligence 189). (doi:10.1007/978-3-642-00179-6_12)
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Official URL: http://dx.doi.org/10.1007/978-3-642-00179-6_12
Description/Abstract
The paper describes the use of length-of-stay data to derive an optimal schedule for operating theatres. We consider situations where there are a large number of types of procedures that must be scheduled. The general approach we describe is to classify procedures by their length-of-stay data. An efficient scheduling tool can then be used to determine the optimal schedule for operations, where the aim is to reduce variability in the number of beds being used. We describe the application
of the method using a case study coming from a network of private hospitals in the UK.
| Item Type: | Book Section |
|---|---|
| ISBN: | 3642001785 (hardback) 9783642001789 (hardback) |
| Uncontrolled Keywords: | statistics, scheduling, operating theatres, beds, length-ofstay |
| Related URLs: | http://dx.doi.org/10.1007/978-...00179-6_12 |
| Subjects: | R Medicine > R Medicine (General) Q Science > QA Mathematics |
| Divisions: | University Structure - Pre August 2011 > School of Mathematics > Operational Research |
| ePrint ID: | 65699 |
| Deposited On: | 16 Mar 2009 |
| Last Modified: | 02 Jul 2010 01:42 |
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