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Updated: Jan 7, 2026

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

救急医療における暗黙のバイアスのユニークな影響

Amber Cibrario¹, Rahul Bhat², Bruce M Lo³

¹Hawaii Emergency Physician Associated, Hilo Medical Center Hilo Hawaii USA.

AEM education and training

|December 25, 2025

Abstract:

Implicit bias refers to unconscious attitudes and associations an individual holds about others, which can impact behavior and decisions. In the emergency department (ED)-a setting characterized by unpredictable patient volumes, overcrowding, high acuity, and significant stress-physicians often face increased cognitive demands, which may heighten susceptibility to implicit bias. This can adversely impact emergency medicine (EM) patient care and outcomes, as well as the well-being of frontline healthcare providers. In this paper, we outline how specific biases can affect both patient care and physician practice. Recognizing that the ED presents unique challenges, we propose targeted solutions to address bias at the individual, institutional, and specialty levels with the ultimate aim of improving the patient care experience and promoting equity in the EM workforce.

キーワード:

暗黙のバイアス救急医療患者ケア医療従事者の幸福公平性

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