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Wyniki wczesnego ostrzegania AI dotyczące quizu dotyczącego pogorszenia stanu pacjenta

Testuje parametry życiowe wykorzystywane przez NEWS2, dlaczego przepływ pracy Kaiser Advance Alert Monitor był tak ważny i dlaczego sam AUROC może wprowadzić w błąd przy ocenie modeli pogorszenia stanu.

Powiązane ścieżki prowadząceWczesne ostrzeganie AI ocenia pogorszenie stanu pacjenta
Pytanie 1 z 8

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

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Odpowiedzi i wyjaśnienia pojawiają się w miarę rozwiązywania quizu.

  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