A Bayesian network hybrid model for representing accident and emergency waiting times

Adele H. Marshall; Louise Burns

doi:10.1109/CBMS.2007.1

A Bayesian network hybrid model for representing accident and emergency waiting times

Adele H. Marshall, Louise Burns

School of Mathematics and Physics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

The paper introduces a new modeling approach that represents the waiting times in an accident and emergency (A&E) department in a UK based national health service (NHS) hospital. The technique uses Bayesian networks to capture the heterogeneity of arriving patients by representing how patient covariates interact to influence their waiting times in the department. Such waiting times have been reviewed by the NHS as a means of investigating the efficiency of A&E departments (emergency rooms) and how they operate. As a result activity targets are now established based on the patient total waiting times with much emphasis on trolley waits.

Original language	English
Title of host publication	Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems, CBMS'07
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	7
ISBN (Print)	0769529054
DOIs	https://doi.org/10.1109/CBMS.2007.1
Publication status	Published - 25 Jun 2007
Event	20th IEEE International Symposium on Computer-Based Medical Systems - Maribor, Slovenia Duration: 20 Jun 2007 → 22 Jun 2007

Publication series

Name	Annual IEEE Symposium on Computer-Based Medical Systems: Proceedings
Publisher	IEEE
ISSN (Print)	1063-7125

Conference

Conference	20th IEEE International Symposium on Computer-Based Medical Systems
Country/Territory	Slovenia
City	Maribor
Period	20/06/2007 → 22/06/2007

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10.1109/CBMS.2007.1Licence: Unspecified

A Bayesian network hybrid model for representing accident and emergency waiting times
Copyright 2007 IEEE. This work is made available online in accordance with the publisher’s policies. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 112 KBLicence: Unspecified

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Marshall, A. H., & Burns, L. (2007). A Bayesian network hybrid model for representing accident and emergency waiting times. In Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems, CBMS'07 (Annual IEEE Symposium on Computer-Based Medical Systems: Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CBMS.2007.1

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title = "A Bayesian network hybrid model for representing accident and emergency waiting times",

abstract = "The paper introduces a new modeling approach that represents the waiting times in an accident and emergency (A&E) department in a UK based national health service (NHS) hospital. The technique uses Bayesian networks to capture the heterogeneity of arriving patients by representing how patient covariates interact to influence their waiting times in the department. Such waiting times have been reviewed by the NHS as a means of investigating the efficiency of A&E departments (emergency rooms) and how they operate. As a result activity targets are now established based on the patient total waiting times with much emphasis on trolley waits.",

author = "Marshall, {Adele H.} and Louise Burns",

year = "2007",

month = jun,

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doi = "10.1109/CBMS.2007.1",

language = "English",

isbn = "0769529054",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems, CBMS'07",

address = "United States",

note = "20th IEEE International Symposium on Computer-Based Medical Systems ; Conference date: 20-06-2007 Through 22-06-2007",

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Marshall, AH & Burns, L 2007, A Bayesian network hybrid model for representing accident and emergency waiting times. in Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems, CBMS'07. Annual IEEE Symposium on Computer-Based Medical Systems: Proceedings, Institute of Electrical and Electronics Engineers Inc., 20th IEEE International Symposium on Computer-Based Medical Systems, Maribor, Slovenia, 20/06/2007. https://doi.org/10.1109/CBMS.2007.1

A Bayesian network hybrid model for representing accident and emergency waiting times. / Marshall, Adele H.; Burns, Louise.
Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems, CBMS'07. Institute of Electrical and Electronics Engineers Inc., 2007. (Annual IEEE Symposium on Computer-Based Medical Systems: Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - The paper introduces a new modeling approach that represents the waiting times in an accident and emergency (A&E) department in a UK based national health service (NHS) hospital. The technique uses Bayesian networks to capture the heterogeneity of arriving patients by representing how patient covariates interact to influence their waiting times in the department. Such waiting times have been reviewed by the NHS as a means of investigating the efficiency of A&E departments (emergency rooms) and how they operate. As a result activity targets are now established based on the patient total waiting times with much emphasis on trolley waits.

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Marshall AH, Burns L. A Bayesian network hybrid model for representing accident and emergency waiting times. In Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems, CBMS'07. Institute of Electrical and Electronics Engineers Inc. 2007. (Annual IEEE Symposium on Computer-Based Medical Systems: Proceedings). doi: 10.1109/CBMS.2007.1

A Bayesian network hybrid model for representing accident and emergency waiting times

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