Quiz połączony z przewodnikiem · Ciężko Poziom

Quiz dotyczący przewidywania ryzyka upadku AI w szpitalach

Testuje ograniczenia Skali Upadku Morse'a, dlaczego rzadkie upadki dają modelom predykcyjnym niską precyzję oraz w jaki sposób wykrywanie wyjścia z łóżka wideo różni się od alarmów podkładki uciskowej.

Powiązane ścieżki prowadzącePrzewidywanie ryzyka upadku AI w szpitalach
Pytanie 1 z 8

How many items does the Morse Fall Scale score?

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Odpowiedzi i wyjaśnienia pojawiają się w miarę rozwiązywania quizu.

  1. How many items does the Morse Fall Scale score?
    • Cztery
    • Sześć
    • Osiem
    • Dziesięć
  2. Why can a fall prediction model with a high AUROC still produce mostly false alarms?
    • AUROC only measures processing speed
    • Hospitals cannot calculate AUROC for fall models
    • High AUROC means the model predicts every patient will fall
    • Falls are rare, so even good ranking yields low precision at usable thresholds
  3. How does computer vision bed-exit detection differ from a pressure-pad bed alarm?
    • It can detect posture changes like sitting up before weight leaves the mattress
    • It only works after the patient has fallen
    • It uses the patient's heart rate instead of movement
    • It requires the patient to press a call button
  4. What did a large randomized trial of increased bed alarm use find, according to the guide?
    • Falls fell by more than half
    • Alarms eliminated injurious falls
    • It did not find a reduction in falls
    • Alarms increased patient satisfaction but not staffing
  5. What CMS policy does the guide mention regarding falls?
    • CMS requires video monitoring in every room
    • Since 2008, CMS has not paid hospitals extra for falls with injury acquired during a stay
    • CMS bans the use of the Morse Fall Scale
    • CMS pays a bonus for each fall alert generated
  6. What limitation of the Morse Fall Scale does the guide highlight?
    • It is usually scored once a shift, misses changes between assessments, and labels many inpatients at risk
    • It can only be used in pediatric units
    • It requires laboratory data to calculate
    • It gives a single yes or no answer with no score
  7. After a patient is flagged as high fall risk, which action does the guide link to actually reducing falls?
    • Adding a second alarm with a louder tone
    • Moving the patient to a room farther from the nurses' station
    • Rescoring the patient every hour without other changes
    • Scheduled toileting rounds and a medication review
  8. Which privacy design do many computer vision fall systems use, according to the guide?
    • Streaming all footage to social media for review
    • Recording audio only and sharing it with families
    • Live viewing without recording, sometimes with blurring or outlines
    • Storing full-resolution video indefinitely for model training