Predicting Ambulance Diversion in an Adult Emergency Department
using a Gaussian Process

Jeffrey  Leegon; Nathan  Hoot; Dominik  Aronsky; Amos Storkey

Predicting Ambulance Diversion in an Adult Emergency Department using a Gaussian Process

Jeffrey Leegon, Nathan Hoot, Dominik Aronsky, Amos Storkey

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

Abstract

When the Emergency Department (ED) reaches a critical level of overcrowding, it diverts ambulances to other hospitals. We evaluated the accuracy of a Gaussian process for prediction of ambulance diversion using March 1, 2005 – November 30, 2005 data. The area under the receiver operating characteristic curve (AUC) for 120 minutes in advance was 0.93 (SE: 0.19). The instrument demonstrated a high AUC and may be used to alert ED managers earlier of a diversion episode.

Original language	English
Title of host publication	AMIA 2007 Symposium Proceedings
Pages	1026
Number of pages	1
Publication status	Published - 2006

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title = "Predicting Ambulance Diversion in an Adult Emergency Department using a Gaussian Process",

abstract = "When the Emergency Department (ED) reaches a critical level of overcrowding, it diverts ambulances to other hospitals. We evaluated the accuracy of a Gaussian process for prediction of ambulance diversion using March 1, 2005 – November 30, 2005 data. The area under the receiver operating characteristic curve (AUC) for 120 minutes in advance was 0.93 (SE: 0.19). The instrument demonstrated a high AUC and may be used to alert ED managers earlier of a diversion episode. ",

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AB - When the Emergency Department (ED) reaches a critical level of overcrowding, it diverts ambulances to other hospitals. We evaluated the accuracy of a Gaussian process for prediction of ambulance diversion using March 1, 2005 – November 30, 2005 data. The area under the receiver operating characteristic curve (AUC) for 120 minutes in advance was 0.93 (SE: 0.19). The instrument demonstrated a high AUC and may be used to alert ED managers earlier of a diversion episode.

M3 - Conference contribution

SP - 1026

BT - AMIA 2007 Symposium Proceedings

ER -

Predicting Ambulance Diversion in an Adult Emergency Department using a Gaussian Process

Abstract

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