EURO 2024 Copenhagen
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2964. Dependence between patient arrivals and service times in emergency department data

Invited abstract in session WA-10: ED logistics, stream OR in Health Services (ORAHS).

Wednesday, 8:30-10:00
Room: 11 (building: 116)

Authors (first author is the speaker)

1. Laura Boyle
Queen's University Belfast

Abstract

Hospital emergency departments are frequently modelled components of healthcare systems, owing to their importance in primary healthcare access and to their scrutiny in politics and the media. Queueing models are routinely used to model emergency departments and it is commonly assumed that service time distributions are independent of system state. This talk will explore a motivating emergency department dataset to discuss the dependence between patient arrivals and service times. A method for detecting the source of the dependence will be presented and the implications for developing accurate queuing models of hospital systems will be discussed.

Keywords

Status: accepted


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