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The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...
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Guidelines for Nursing Documentation I01:30

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Quality documentation and reporting share essential characteristics that ensure they are practical and valuable resources for those who use them. These characteristics are:
Factual:  
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Entrevistas con médicos clínicos sobre una plataforma de documentación de inteligencia artificial ambiental y su

Cheryl D Stults1, Meghan C Martinez1, Nina K Szwerinski1

  • 1Center for Health Systems Research, Sutter Health, Palo Alto, CA 94301, United States.

Journal of the American Medical Informatics Association : JAMIA
|February 10, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Las plataformas de documentación de inteligencia artificial (IA) ambiental pueden reducir la carga cognitiva del clínico y ahorrar tiempo. Sin embargo, los desafíos con la precisión y la personalización de notas requieren más investigación para una integración óptima del flujo de trabajo.

Palabras clave:
Registros electrónicos de salud.La inteligencia artificial generativa es una inteligencia artificial generativa.médico médico médico médico médicoevaluación cualitativa de la evaluación cualitativa.

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Área de la Ciencia:

  • La informática clínica es la informática clínica.
  • Interacción hombre-computadora Interacción hombre-computadora.
  • Mejora de la calidad de la atención sanitaria Mejora de la calidad de la atención sanitaria

Sus antecedentes:

  • Las plataformas de documentación de inteligencia artificial ambiental (IA) son herramientas emergentes en el cuidado de la salud.
  • Comprender la experiencia del clínico es crucial para la adopción exitosa de la tecnología.

Objetivo del estudio:

  • Evaluar cualitativamente el impacto de una plataforma de documentación de IA ambiental en las experiencias y flujos de trabajo del clínico.
  • Identificar los beneficios y desafíos asociados con la implementación de IA ambiental en un entorno clínico.

Principales métodos:

  • Un estudio cualitativo que emplea entrevistas semi-estructuradas con médicos después de la implementación piloto.
  • El análisis pragmático temático se utilizó para analizar los datos de las entrevistas.

Principales resultados:

  • La IA ambiental redujo la carga cognitiva y ahorró tiempo para muchos médicos, con capacidades de transcripción multilingüe señaladas como un beneficio.
  • Los desafíos incluyeron información inexacta que requería ediciones y un formato de nota no deseado, especialmente para especialistas.
  • Participaron 42 de los 100 médicos invitados, con una mayoría en atención primaria.

Conclusiones:

  • Ambient AI muestra potencial para mejorar la experiencia laboral general de los médicos.
  • Se necesita más investigación para explorar las variaciones en la experiencia clínica a través de diferentes plataformas de IA ambientales y uso a largo plazo.