Cuestionario vinculado a una guía · Medio Nivel

Prueba de IA para la escasez de medicamentos y el inventario de farmacias

Evalúa las causas fundamentales de la escasez, pronosticando a nivel de ingredientes en lugar de NDC, el efecto látigo del acaparamiento y el intercambio terapéutico aprobado.

Rutas de guía relacionadasIA para la escasez de medicamentos y el inventario de farmacias
Pregunta 1 de 8

Where does the guide say most drug shortages originate?

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Las respuestas y explicaciones aparecen a medida que realiza el cuestionario.

  1. Where does the guide say most drug shortages originate?
    • On the supply side, through quality failures, few manufacturers and thin margins
    • In pharmacies that forecast poorly
    • In prescribers overusing antibiotics
    • In insurance formulary changes
  2. Why does the guide warn against buying as much as possible when a shortage alert appears?
    • Warehouses charge by volume
    • Panic ordering amplifies through the supply chain and worsens shortages for others
    • FDA forbids stockpiling any drug
    • Drugs expire the moment they are purchased
  3. Why should demand be forecast at the ingredient, strength and form level rather than only by NDC?
    • NDCs are confidential
    • Ingredients never change price
    • During shortages pharmacies switch manufacturers and packages, breaking NDC-level history
    • FDA requires ingredient-level reporting
  4. What must therapeutic substitution follow, according to the guide?
    • The lowest-price option chosen by the wholesaler
    • Whatever the forecasting model outputs
    • The manufacturer's marketing guidance
    • Protocols approved by the pharmacy and therapeutics committee, confirmed by a pharmacist
  5. Which method suits items with many zero-use days?
    • Croston's method or probabilistic models for intermittent demand
    • Simple linear regression on price
    • Ignoring those items entirely
    • Counting only the busiest week
  6. How should a shortage risk model's output be interpreted?
    • As an exact date when supply will run out
    • As a risk ranking, since shortages are rare and often sudden
    • As a legal notice to prescribers
    • As an automatic purchase order
  7. Which measure does the guide recommend for evaluating shortage prediction?
    • Overall accuracy across all products
    • Number of products scored
    • Precision among top-ranked items and how much warning time it gives
    • How many NDCs the model memorized
  8. According to the guide, what would improve shortage warnings more than better algorithms?
    • More colorful dashboards
    • Faster pharmacy printers
    • Removing substitution protocols
    • Better data sharing between manufacturers, wholesalers and providers