Kedis ku xidhan hagaha · Dhexdhexaad Heerka
AI ee Kalkaalinta Shaqaalaha iyo Jadwalka Kediska
Tijaabada tirakoobka iyo saadaalinta miyir-qabka, adag ka soo horjeedka jadwal jilicsan, iyo wareegtada jawaab celinta dukumeentiga iyo walaacyada ururka ee ku saabsan shaqaaleysiinta algorithm.
Su'aal 1 ee 8
According to the guide, which state has had mandated minimum nurse-to-patient ratios since 2004?
Horudhac su'aal kasta8 su'aalo
Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.
- According to the guide, which state has had mandated minimum nurse-to-patient ratios since 2004?
- Texas
- New York
- California
- Florida
- 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
- 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
- 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
- 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
- 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
- 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
- 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