Cuestionario vinculado a una guía · Medio Nivel

Cuestionario de respuestas redactadas por IA a mensajes del portal de pacientes

Prueba lo que los estudios del sistema de salud encontraron sobre el ahorro de tiempo y el agotamiento, cómo el sesgo de automatización afecta la revisión del borrador y qué salvaguardas y reglas de divulgación se aplican.

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What did the 2024 Stanford study by Garcia and colleagues find about AI-drafted inbox replies?

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  1. What did the 2024 Stanford study by Garcia and colleagues find about AI-drafted inbox replies?
    • Drafts cut reply time in half
    • Clinicians used drafts for nearly every message
    • Task load and burnout scores fell, but there was no significant time savings
    • The program was shut down for patient harm
  2. Why does the Ayers 2023 study not prove AI drafts beat physicians in real clinical inboxes?
    • It compared answers to public questions on Reddit, not messages from patients in a health system
    • It used only nurses as evaluators
    • It measured only spelling errors
    • It tested an image model
  3. The UC San Diego study by Tai-Seale and colleagues found which pattern?
    • Shorter replies and faster sending
    • No drop in reply time, longer time reading messages, and longer replies
    • Complete elimination of nurse triage
    • Drafts were sent automatically without review
  4. A physician leaves a fluent draft mostly unchanged even though it contains an error. What is this tendency called?
    • Fatiga de alerta
    • Retrieval failure
    • Disparate impact
    • Automation bias
  5. A draft tells a patient to double a blood pressure medication, missing yesterday's high potassium result. What risk does this show?
    • Missing context, because the model sees only what the prompt includes
    • A problem with the patient portal's font
    • The model working too slowly
    • A billing code mismatch
  6. Which safeguard sends high-risk messages away from AI drafting?
    • Making replies longer
    • Removing the start-blank option
    • Excluding categories such as test results and possible emergencies from drafting and routing them to triage
    • Sending drafts automatically after five minutes
  7. What does California's AB 3030 generally require?
    • A ban on all AI in healthcare
    • Disclosure of AI-generated patient communications unless a licensed provider reviewed them
    • Federal FDA approval for every draft
    • Patients to write their own replies
  8. Which monitoring practice best catches drafts that were sent without real review?
    • Counting total portal logins
    • Measuring server response time
    • Tracking the number of patients enrolled
    • Logging how much clinicians edit drafts and reviewing a sample of sent messages with minimal changes