← the record
AIAAIC-0668

ENA Emergency Severity Index accused of racial, economic bias

A number of healthcare delivery and planning algorithms widely used across the US , notably The Emergency Nurses Association (ENA)'s Emergency Severity Index, actively reinforc e existing racial and economic biases , according to researchers. Researchers at The University of Chicago Booth School of Business' Center for Applied Artificial Intelligence assessed (pdf) algorithms that help emergency rooms triage patients and predict diabetes, amongst other uses. The Emergency Nurses Association (ENA)'s Emergency Severity Index was found to underestimate the severity of Black and Hispanic peoples' problems, perpetuating inequitable treatment in areas in which they reside for at least a decade, STAT reported . The finding was seen to highlight concerns about racial, ethnic and geographic bias when assigning of ESI scores to patie nts. System 🤖 Emergency Severity Index Operator: Brigham and Women’s Hospital, Boston; Emergency Nurses Association ( ENA) Developer: Emergency Nurses Association (ENA) Country: USA Sector: Health Purpose: Assess medical condition Technology: Triage algorithm Issue: Accuracy/reliability; Fairness

Date it happened
2021-06-01
Organisation involved
Brigham and Women’s Hospital, Boston; Emergency Nurses Association (ENA)
Product, system or model
Emergency Severity Index
Where this came from
Share this incident
XLinkedInFacebookWhatsAppEmail
Attribution

This incident was imported from AIAAIC and is used under CC BY-SA 4.0. Our additions to it — the structured fields, the translation, the checks against other reports — are published under the same licence.

This is a record of what was reported, not a finding that anyone broke the law. If it names your organisation and you believe it is wrong, the corrections process is free and open to everyone.