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Related Experiment Video

Updated: May 15, 2025

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

Evaluating Acute Stroke Diagnosis Using Simulation Scenarios.

Ava L Liberman¹, Daniel Apley², Jingyu Zhu²

¹Department of Neurology, Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY.

Annals of Emergency Medicine

|April 9, 2025

Summary

This summary is machine-generated.

Distractions during patient evaluation and the presence of a witness significantly impact stroke diagnosis accuracy in the emergency department (ED). Improving diagnostic accuracy requires addressing these factors.

Keywords:

Design of experiments Diagnostic error Emergency medicine Patient safety Simulation Stroke

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Area of Science:

Emergency Medicine
Neurology
Applied Statistics

Background:

Accurate stroke diagnosis in the emergency department (ED) is critical for timely treatment.
Clinical and process factors can influence diagnostic accuracy, leading to potential misdiagnosis.

Purpose of the Study:

To explore clinical and process factors influencing stroke diagnosis accuracy in the ED.
To apply a novel design of experiments methodology to simulated patient scenarios.

Main Methods:

Utilized design of experiments with 4 simulated stroke base cases and 12 influencing factors.
Physicians (neurology and emergency medicine) participated in in-person and virtual assessments.
Multivariate regression analyzed factors affecting physician diagnostic confidence.

Main Results:

Typical ischemic stroke was accurately diagnosed; other cases showed lower accuracy.
Stroke overdiagnosis occurred in complex migraine (83% false positive); underdiagnosis in intracerebral hemorrhage (36% false negative).
Physician distraction and witness availability significantly impacted diagnostic confidence and accuracy.

Conclusions:

Distraction during evaluation and witness presence are key factors influencing stroke diagnostic accuracy.
Findings inform future research on ED misdiagnosis mechanisms.
Results can guide the design of interventions to enhance stroke diagnostic formulation.