Cuestionario vinculado a una guía · Medio Nivel
IA en medicina de emergencia y cuestionario de triaje
Revise los flujos de trabajo y los datos de IA de clasificación de emergencias, incluidas las etiquetas de resultados, las señales estructuradas, las puntuaciones de alerta temprana basadas en reglas y los umbrales de alerta.
Pregunta 1 de 8
What is the main purpose of emergency-department triage?
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Las respuestas y explicaciones aparecen a medida que realiza el cuestionario.
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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)