Guide-linked quiz · Hard Level

AI Early Warning Scores for Patient Deterioration Quiz

Tests the vital signs NEWS2 uses, why the Kaiser Advance Alert Monitor workflow mattered, and why AUROC alone can mislead when evaluating deterioration models.

Question 1 of 8

Which of these is one of the parameters scored in NEWS2?

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  1. Which of these is one of the parameters scored in NEWS2?
    • Serum creatinine
    • Use of supplemental oxygen
    • White blood cell count
    • Blood lactate
  2. What was a defining feature of Kaiser Permanente's Advance Alert Monitor deployment?
    • Alerts went straight to patients' phones
    • The model ran only in ICUs
    • Trained remote nurses screened alerts before they reached the bedside team
    • Alerts automatically ordered antibiotics
  3. Why does the guide warn that a high AUROC does not guarantee better care?
    • What matters is how often an alert is right at the chosen threshold, the number of alerts per shift, lead time and whether the response changes treatment
    • AUROC only works for imaging models
    • AUROC is always lower for AI than for NEWS2
    • AUROC measures cost, not accuracy
  4. How can orders for lactate or blood cultures cause a deterioration model to overstate its usefulness?
    • They slow down the EHR
    • They are recorded in the wrong units
    • They reset the model's score to zero
    • They signal that clinicians already suspect trouble, so the model may flag deterioration staff have already recognized
  5. Why does computing AUROC over every observation inflate a deterioration model's performance?
    • Stable patients contribute hundreds of easy negative observations
    • It double-counts deaths
    • It ignores vital signs
    • It only includes ICU patients
  6. What is the purpose of running a deterioration model in silent mode before go-live?
    • To hide the model from regulators
    • To reduce electricity use
    • To compute scores without showing them, so the hospital can measure local calibration, subgroup performance and alert volume
    • To train nurses without any patient data
  7. If a deterioration model's positive predictive value at the alert threshold is 0.1, what is the number needed to evaluate?
    • 1
    • 10
    • 0.1
    • 100
  8. What did the University of Michigan's 2021 independent evaluation of Epic's sepsis model show?
    • It performed exactly as the vendor reported
    • It worked only for children
    • It could replace blood cultures
    • It performed substantially worse than the developer had reported

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