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De la teoría a la práctica: la evaluación de la IA en la farmacia

Steven M Smoke1, Alice Hou2, Scott D Nelson2

  • 1RWJBarnabas Health, West Orange, NJ, USA.

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
|September 1, 2025
PubMed
Resumen

Los farmacéuticos deben comprender la evaluación del modelo de inteligencia artificial (IA) para mejorar la atención al paciente y las operaciones farmacéuticas. Esta guía ayuda a los farmacéuticos a evaluar críticamente los estudios y las métricas de IA para una integración efectiva.

Palabras clave:
Algoritmo de vigilanciaInteligencia artificialModelos generativosAprendizaje automáticoEvaluación del modelocuidado del pacienteoperaciones farmacéuticasPráctica farmacéuticaModelos de predicción

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Área de la Ciencia:

  • Práctica farmacéutica
  • Informática de la salud
  • Inteligencia artificial en el cuidado de la salud

Sus antecedentes:

  • La inteligencia artificial (IA) es cada vez más importante en el cuidado de la salud, particularmente en la farmacia.
  • Los farmacéuticos necesitan habilidades para evaluar modelos y estudios de IA para una implementación efectiva.
  • Comprender la evaluación de la IA es clave para aprovechar su potencial en la farmacia.

Objetivo del estudio:

  • Proporcionar a los farmacéuticos una guía para evaluar los modelos y estudios de IA.
  • Hacer hincapié en la evaluación crítica de las definiciones de IA, los datos, las poblaciones y los procesos de capacitación.
  • Discutir las métricas de rendimiento comunes para la IA en el cuidado de la salud.

Principales métodos:

  • Revisión de los principios de evaluación del modelo de IA relevantes para la práctica farmacéutica.
  • Discusión de los componentes clave en la evaluación de los estudios de IA, incluida la calidad y la validación de los datos.
  • Explicación de las métricas de rendimiento estándar utilizadas en la investigación de IA.

Principales resultados:

  • Los farmacéuticos pueden evaluar eficazmente los modelos de IA mediante la comprensión de los principios básicos.
  • La evaluación crítica de los estudios de IA garantiza una integración tecnológica responsable y efectiva.
  • El conocimiento de las métricas de evaluación de la IA ayuda a la toma de decisiones informadas.

Conclusiones:

  • La IA tiene un potencial significativo para transformar la práctica farmacéutica y la atención al paciente.
  • Equipar a los farmacéuticos con habilidades de evaluación de la IA es crucial para una implementación responsable.
  • Un enfoque holístico de la integración de la IA mejora la atención al paciente y la eficiencia operativa.