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Triage effectiveness: a framework for quantifying the effect of emergency triage prioritization
by
Forberg, Jakob Lundager
, Ekwall, Anna
, Ekelund, Ulf
, Fodor, Viktoria
, Johansson, André
in
Analysis
/ Anaphylaxis
/ Electronic health records
/ Emergency Care
/ Emergency medical care
/ Emergency Room Visits
/ Emergency Service, Hospital - organization & administration
/ Emergency Service, Hospital - statistics & numerical data
/ Evaluation
/ Health Sciences
/ Humans
/ Intensive care
/ Intervention
/ Medical research
/ Medicine
/ Medicine & Public Health
/ Medicine, Experimental
/ Methodology
/ Methods
/ Missing data
/ Mortality
/ Patients
/ Performance Metrics
/ Priority Queues
/ Priority Triage
/ Statistical Theory and Methods
/ Statistics for Life Sciences
/ Theory of Medicine/Bioethics
/ Time Factors
/ Triage (Medicine)
/ Triage - methods
/ Triage - standards
/ Triage - statistics & numerical data
/ Triage Effectiveness
/ Waiting Lists
/ Waiting Time Analysis
2026
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Triage effectiveness: a framework for quantifying the effect of emergency triage prioritization
by
Forberg, Jakob Lundager
, Ekwall, Anna
, Ekelund, Ulf
, Fodor, Viktoria
, Johansson, André
in
Analysis
/ Anaphylaxis
/ Electronic health records
/ Emergency Care
/ Emergency medical care
/ Emergency Room Visits
/ Emergency Service, Hospital - organization & administration
/ Emergency Service, Hospital - statistics & numerical data
/ Evaluation
/ Health Sciences
/ Humans
/ Intensive care
/ Intervention
/ Medical research
/ Medicine
/ Medicine & Public Health
/ Medicine, Experimental
/ Methodology
/ Methods
/ Missing data
/ Mortality
/ Patients
/ Performance Metrics
/ Priority Queues
/ Priority Triage
/ Statistical Theory and Methods
/ Statistics for Life Sciences
/ Theory of Medicine/Bioethics
/ Time Factors
/ Triage (Medicine)
/ Triage - methods
/ Triage - standards
/ Triage - statistics & numerical data
/ Triage Effectiveness
/ Waiting Lists
/ Waiting Time Analysis
2026
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Triage effectiveness: a framework for quantifying the effect of emergency triage prioritization
by
Forberg, Jakob Lundager
, Ekwall, Anna
, Ekelund, Ulf
, Fodor, Viktoria
, Johansson, André
in
Analysis
/ Anaphylaxis
/ Electronic health records
/ Emergency Care
/ Emergency medical care
/ Emergency Room Visits
/ Emergency Service, Hospital - organization & administration
/ Emergency Service, Hospital - statistics & numerical data
/ Evaluation
/ Health Sciences
/ Humans
/ Intensive care
/ Intervention
/ Medical research
/ Medicine
/ Medicine & Public Health
/ Medicine, Experimental
/ Methodology
/ Methods
/ Missing data
/ Mortality
/ Patients
/ Performance Metrics
/ Priority Queues
/ Priority Triage
/ Statistical Theory and Methods
/ Statistics for Life Sciences
/ Theory of Medicine/Bioethics
/ Time Factors
/ Triage (Medicine)
/ Triage - methods
/ Triage - standards
/ Triage - statistics & numerical data
/ Triage Effectiveness
/ Waiting Lists
/ Waiting Time Analysis
2026
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Triage effectiveness: a framework for quantifying the effect of emergency triage prioritization
Journal Article
Triage effectiveness: a framework for quantifying the effect of emergency triage prioritization
2026
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Overview
Background
Emergency departments use triage to identify time-critical patients and reduce waiting times by assigning higher priority. However, no existing method directly measures this core clinical function. We developed and validated Triage Effectiveness (TE) as a framework for quantifying how well triage systems reduce waiting times for time-critical patients.
Methods
Using data from 463,209 visits across eight emergency departments, we developed TE as a scale where 0% equals a first-come-first-serve strategy (no triage) and 100% equals perfect prioritization. The framework includes two complementary measures: 1. Waiting Time-based TE (WTE) measuring actual waiting time reduction, where 100% represents zero waiting time, and 2. Rank-based TE (RTE) measuring queue position improvement where 100% represents placement first in queue. Both can be calculated as theoretical TE (based only on priorities) and observed TE (actual clinical performance). We validated WTE and RTE calculations using analytical queueing models adapted for classification uncertainty and assessed transferability across hospitals.
Results
Queueing theory validation showed strong alignment with both WTE and RTE calculations, with RTE demonstrating greater robustness and less sensitivity to ED utilization patterns. TE increased with accuracy and produced negative values when triage performance was worse than chance. When applying the framework we found substantial gaps between theoretical and observed TE across all emergency departments, indicating significant post triage reprioritization.
Conclusions
The TE framework provides the first method for directly measuring the effectiveness of triage while utilizing full ordinal priority information. TE can assess the effectiveness of initial triage and the impact of post-triage re-prioritization.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
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