AI muNursing Quiz

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

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. Chii chinonzi 'alarm kuneta' mumamiriro ehukoti AI?
   • Vanamukoti vaneta nekufamba
   • Ma alarm akanyarara kuti asanzwe
   • Desensitization kubva kuchenjedzo dzakawanda, kusanganisira dzenhema
   • A kuronga software bug
4. Ndeupi rudzi rwe data inonyanya kutsamira sepsis uye kuora kwemhando?
   • Mapikicha epachipatara chinosvikira vanhu
   • Murwere pasocial media posts
   • Mamiriro ekunze
   • Nguva-yakatevedzana yakakosha zviratidzo uye lab kukosha kubva kuEHR
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. Ndeipi basa rinotarisirwa reAI zvine chekuita nekutonga kwekiriniki yehukoti?
   • Kudarika zvisarudzo zvevanamukoti
   • Kuwedzera uye kutsigira, kwete kutsiva, kutonga kwekiriniki
   • Kubvisa kudiwa kwemanesi
   • Kuita sarudzo dzese wakazvimirira
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