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Emergency department (ED) triage is performed to prioritize patients with critical time-sensitive conditions above those who can safely wait.1 Conventional approaches to ED triage rely heavily on user experience and intuition, are prone to high interoperator variability, and have been strongly associated with biased decisionmaking across race, ethnicity, and spoken language.1-3 Here, we measured the effect of outcomes-driven artificial intelligence (AI)-informed decision support on the equity of ED triage decisionmaking.
Hinson et al. (Wed,) studied this question.