Optimal scheduling using length-of-stay data for diverse routine procedures
Optimal scheduling using length-of-stay data for diverse routine procedures
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.
statistics, scheduling, operating theatres, beds, length-ofstay
3642001785
193-205
Currie, Christine S.M.
dcfd0972-1b42-4fac-8a67-0258cfdeb55a
Lu, Lanting
995a0288-56c7-4d1e-840b-ef46e2084bb7
4 March 2009
Currie, Christine S.M.
dcfd0972-1b42-4fac-8a67-0258cfdeb55a
Lu, Lanting
995a0288-56c7-4d1e-840b-ef46e2084bb7
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.
(Studies in Computational Intelligence, 189)
Berlin.
Springer, .
(doi:10.1007/978-3-642-00179-6_12).
Record type:
Book Section
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.
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More information
Published date: 4 March 2009
Keywords:
statistics, scheduling, operating theatres, beds, length-ofstay
Organisations:
Operational Research
Identifiers
Local EPrints ID: 65699
URI: http://eprints.soton.ac.uk/id/eprint/65699
ISBN: 3642001785
PURE UUID: 49ed276c-d25a-4c36-82a7-02fb87195353
Catalogue record
Date deposited: 16 Mar 2009
Last modified: 14 Mar 2024 02:47
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Contributors
Author:
Lanting Lu
Editor:
Sally McClean
Editor:
Peter Millard
Editor:
Elia El-Darzi
Editor:
C.D. Nugent
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