Questionário de IA em Enfermagem

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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. O que é “fadiga de alarme” no contexto da IA de enfermagem?
   • Enfermeiras ficando cansadas de caminhar
   • Alarmes que são muito silenciosos para serem ouvidos
   • Dessensibilização de muitos alertas, incluindo falsos
   • Um bug no software de agendamento
4. Em que tipo de dados se baseiam principalmente os modelos de sepse e deterioração?
   • Fotos do lobby do hospital
   • Postagens de pacientes nas redes sociais
   • Previsões meteorológicas
   • Sinais vitais de série temporal e valores laboratoriais do 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. Qual é o papel pretendido da IA em relação ao julgamento clínico de enfermagem?
   • Para anular as decisões dos enfermeiros
   • Para aumentar e apoiar, e não substituir, o julgamento clínico
   • Para eliminar a necessidade de enfermeiras
   • Para tomar todas as decisões de forma independente
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