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Modelos innovadores de previsión de la demanda de enfermeras en los sistemas de salud modernos
Kalpana Singh1, Abdulqadir J Nashwan2
1Department of Nursing and Midwifery Research, Hamad Medical Corporation, Doha 3050, Qatar.
World journal of methodology
|August 29, 2025
Resumen
La predicción precisa de la demanda de enfermeras es vital para la planificación de la fuerza laboral de la salud. Los modelos avanzados como el aprendizaje automático y el análisis de series temporales mejoran la dotación de personal y la calidad de la atención al paciente.
Área de la Ciencia:
- Gestión de la asistencia sanitaria
- Análisis predictivo
- Planificación de la fuerza laboral de enfermería
Sus antecedentes:
- Los métodos tradicionales de estimación de la demanda de enfermeras son insuficientes debido a la complejidad de los sistemas de salud y a la evolución de las necesidades de los pacientes.
- Los avances tecnológicos, los nuevos tratamientos y el aumento de las enfermedades crónicas requieren enfoques de predicción más sofisticados.
- La dotación de personal de enfermería precisa es esencial para las operaciones sanitarias eficientes y la atención de alta calidad a los pacientes.
Palabras clave:
Aprendizaje automáticoPrevisión de la demanda de enfermerasModelos de predicciónMétodos basados en la simulaciónAnálisis de las series temporalesMás Videos Relacionados
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