AI in Nursing Quiz

Answers and explanations appear as you take the quiz.

1. In the 2026 NARRATE study, which outcomes were compared between conventional and AI-supported supervisor reports?
   • WHO-aligned incident-report completeness and adapted PDQI narrative-quality scores
   • Time to complete nursing documentation and bedside visit counts
   • Automatic transcription accuracy against retained audio recordings
   • Nurse adoption rates across all hospitals
2. In a 2025 study of sepsis patients, what outcome was the Epic Deterioration Index evaluated against?
   • Medication cost per patient
   • First-episode rapid-response-team activation
   • Patient satisfaction with nursing staff
   • Length of a physician note
3. What is 'alarm fatigue' in the context of nursing AI?
   • Nurses getting tired from walking
   • Alarms that are too quiet to hear
   • Desensitization from too many alerts, including false ones
   • A scheduling software bug
4. What kind of data do sepsis and deterioration models mainly rely on?
   • Photos of the hospital lobby
   • Patient social media posts
   • Weather forecasts
   • Time-series vital signs and lab values from the EHR
5. Why is local validation important before deploying a nursing deterioration model?
   • Patient populations, data quality, and workflows can differ by hospital
   • All hospitals use identical patient data
   • A high score guarantees clinical deterioration
   • Validation is unnecessary after training
6. What is the intended role of AI relative to nursing clinical judgment?
   • To override nurses' decisions
   • To augment and support, not replace, clinical judgment
   • To eliminate the need for nurses
   • To make all decisions independently
7. How can a hospital reduce the risk that an early-warning score creates excessive low-value alerts?
   • Send every possible alert to every nurse
   • Remove human review from the workflow
   • Calibrate alert thresholds against local data and review alert burden with clinical staff
   • Assume more alerts always improve safety
8. What should teams monitor after deploying a nursing deterioration model?
   • Only the model’s training loss
   • Only the number of installed workstations
   • Whether every nurse clicks every alert
   • Clinical performance, false-alert workload, and subgroup behavior in the local workflow