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.
|Number of pages||6|
|Publication status||Published - Jun 2007|
|Event||20th IEEE International Symposium on Computer-Based Medical Systems - Maribor, Slovenia|
Duration: 01 Jun 2007 → 01 Jun 2007
|Conference||20th IEEE International Symposium on Computer-Based Medical Systems|
|Period||01/06/2007 → 01/06/2007|
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