quiz bu lëkkale ak tegtal · Diggante Niveau
IA ci quiz infirmiye
Xoolaat ndimbalu këyitu liggéey, àrtu ci yàqu-yàqu, yab alarm, siiwal dëkk, ak wareefu infirmiye ci dogal yi klinik bi wara jël.
Laaj 1 de 8
In the 2026 NARRATE study, which outcomes were compared between conventional and AI-supported supervisor reports?
Xoolaatal laaj bu nekk8 laaj
Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.
- 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
- 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
- Luy 'coono alarm' ci wallu IA infirmiye?
- Infirmiye yi sonn nañu dox
- Alarm yu noppeeku lool ngir dégg
- Desensitization ci ay àrtu yu bari, boole ci yu baaxul
- ab bug losisel buy waajal
- Ban xeetu done la sepsis ak xeetu yàqu-yàqu gëna yéem?
- Nataali foyer bu hopitaal bi
- Malaad yi publie ci reso sosio yi
- Meteo
- Màndarga dundu yu lalu ci jamono ak valeur lab yu bawoo ci EHR
- 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
- Lan mooy wareefu IA ci wàllu àtte klinik ci infirmiye?
- Ngir dindi dogal yi infirmiye yi jël
- Yokk ak jàppale, te baña wecci, àtteb klinik
- ngir dindi soxla infirmiye
- Jël bépp dogal ci boppam
- 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
- 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