AI in Emergency Medicine and Triage Quiz

Answers and explanations appear as you take the quiz.

1. What is the main purpose of emergency-department triage?
   • Prioritize patients by urgency so those at greatest immediate risk are assessed first
   • Diagnose every patient before registration
   • Replace clinician judgment with an automated score
   • Determine insurance coverage before clinical assessment
2. In the cited retrospective study, what input did machine learning use to recognize out-of-hospital cardiac arrest?
   • Satellite images of ambulance routes
   • Audio recordings of emergency calls
   • Only pharmacy claims
   • Hospital discharge summaries written after the event
3. What did the cited prehospital AI-ECG study evaluate?
   • A model to predict water demand from weather
   • A speech system to transcribe patient histories
   • A CNN-LSTM model to classify STEMI from ambulance-acquired ECGs
   • A robot to perform catheterization without clinicians
4. What does AHRQ mean by alert fatigue?
   • A patient becomes tired after an emergency alert
   • A triage nurse receives no patient information
   • A medical device battery stops charging
   • Clinicians become desensitized to frequent alerts and may ignore important ones
5. Which inputs did the cited eCART Lite deterioration model use?
   • Patient age, heart rate and respiratory rate
   • Only free-text social-media posts
   • CT scans and genetic sequences only
   • Billing codes without vital signs
6. What stage of AI clinical decision-support evaluation does DECIDE-AI provide a reporting guideline for?
   • Only simulation before any human use
   • Early-stage live clinical evaluation in real clinical workflows
   • Only retrospective model development with no clinical context
   • A universal authorization for automated treatment
7. Which outcomes did the cited ED triage prediction study use?
   • Crop yield and soil moisture only
   • Insurance premiums and readmission penalties only
   • Critical care (ICU admission or in-hospital death) and hospitalization
   • Patient satisfaction and staff retention only
8. Which conventional triage system did the cited machine-learning study use as its reference model?
   • The Montreal Cognitive Assessment
   • The Glasgow Coma Scale
   • NEWS2 as a radiology image model
   • The Emergency Severity Index (ESI)