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

Adele Marshall, Lisa Burns

Research output: Contribution to conferencePaper

1 Citation (Scopus)

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 languageEnglish
Pages91-96
Number of pages6
DOIs
Publication statusPublished - Jun 2007
Event20th IEEE International Symposium on Computer-Based Medical Systems - Maribor, Slovenia
Duration: 01 Jun 200701 Jun 2007

Conference

Conference20th IEEE International Symposium on Computer-Based Medical Systems
CountrySlovenia
CityMaribor
Period01/06/200701/06/2007

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  • Cite this

    Marshall, A., & Burns, L. (2007). A Bayesian network hybrid model for representing accident and emergency waiting times. 91-96. Paper presented at 20th IEEE International Symposium on Computer-Based Medical Systems, Maribor, Slovenia. https://doi.org/10.1109/CBMS.2007.1