Enhancing Emergency Department Triage Equity With Artificial Intelligence: Outcomes From a Multisite Implementation
Year: 2024
Type: article
Abstract: 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.
Source: Annals of Emergency Medicine
Language: English
Subfield: Emergency Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,850
Funder: Beckman Coulter Foundation
OpenAlex ID: W4404553439
