Guide-linked quiz · Medium Level

AI in Nurse Staffing and Scheduling Quiz

Tests census and acuity forecasting, hard versus soft scheduling constraints, and the documentation feedback loop and union concerns about algorithmic staffing.

Question 1 of 8

According to the guide, which state has had mandated minimum nurse-to-patient ratios since 2004?

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  1. According to the guide, which state has had mandated minimum nurse-to-patient ratios since 2004?
    • Texas
    • New York
    • California
    • Florida
  2. What feedback loop does the guide warn about when acuity scores come from documentation?
    • Understaffed nurses chart fewer interventions, so patients look less acute and the model recommends fewer staff
    • More charting always raises the hospital's reimbursement
    • Nurses who pick more shifts receive lower acuity patients
    • Forecast errors automatically correct themselves over time
  3. Why should a census forecast be shown as a range rather than a single number?
    • Ranges are required by federal law
    • Uncertainty grows as the forecast looks further ahead
    • Single numbers cannot be stored in scheduling software
    • Ranges always produce lower staffing costs
  4. In scheduling optimization, which of these is a hard constraint?
    • A nurse's preference for day shifts
    • Rotating holidays evenly
    • Keeping overtime costs low
    • A nurse must hold the competencies required for the unit
  5. What role does an hours per patient day (HPPD) target play in AI staffing?
    • It measures patient satisfaction scores
    • It converts forecast census and acuity into required nursing hours
    • It sets a nurse's hourly wage
    • It ranks nurses by productivity
  6. What is the central concern nurse unions such as National Nurses United raise about algorithmic staffing?
    • The software is too expensive for small hospitals
    • Apps make it too easy to pick up extra shifts
    • Opaque tools can override nurse judgment and be tuned to cut labor costs
    • Algorithms always recommend too many nurses
  7. Which statement reflects the misconception the guide corrects about AI and nurse shortages?
    • AI forecasting and optimization move existing staff around but do not create more nurses
    • AI can train new nurses faster than nursing schools
    • Scheduling algorithms eliminate the need for float pools
    • Accurate forecasts automatically prevent understaffing
  8. In the guide's self-scheduling example, what does the app do when a nurse picks a shift that breaks mandatory rest time?
    • Charges the nurse a penalty fee
    • Automatically approves it and notifies payroll
    • Transfers the nurse to another unit
    • Blocks the selection because it breaks a scheduling rule

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