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Optimal scheduling using length-of-stay data for diverse routine procedures

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
189
193-205
Springer
Currie, Christine S.M.
dcfd0972-1b42-4fac-8a67-0258cfdeb55a
Lu, Lanting
995a0288-56c7-4d1e-840b-ef46e2084bb7
McClean, Sally
Millard, Peter
El-Darzi, Elia
Nugent, C.D.
Currie, Christine S.M.
dcfd0972-1b42-4fac-8a67-0258cfdeb55a
Lu, Lanting
995a0288-56c7-4d1e-840b-ef46e2084bb7
McClean, Sally
Millard, Peter
El-Darzi, Elia
Nugent, C.D.

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, pp. 193-205. (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
ORCID for Christine S.M. Currie: ORCID iD orcid.org/0000-0002-7016-3652

Catalogue record

Date deposited: 16 Mar 2009
Last modified: 08 Jan 2022 02:57

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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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