Control charts to establish and monitor proficiency in the detection of pulmonary B-lines with Point of Care Ultrasound
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Ecografía en el punto de atención
ultrasonografía
curva de aprendizaje

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Control charts to establish and monitor proficiency in the detection of pulmonary B-lines with Point of Care Ultrasound. (2023). Ingenieria Y Universidad, 27. https://doi.org/10.11144/Javeriana.iued27.ccem
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El ultrasonido en el punto de atención (POCUS) es una herramienta clínica ampliamente utilizada. Esta técnica dependiente del operador requiere métodos para establecer puntos de referencia individuales y monitorear el proceso de aprendizaje. Este artículo demuestra la utilidad de los gráficos de control de suma acumulativa (CUSUM) y curva de aprendizaje CUSUM (LC-CUSUM). Presentamos el ejemplo de un caso de curva de aprendizaje de un solo médico general para establecer y monitorear la competencia en POCUS para la detección de líneas B pulmonares. Se llevó a cabo un curso de capacitación para médicos generales para detectar fuga plasmática utilizando POCUS. El aprendiz y un radiólogo experto identificaron el número de líneas B pulmonares en los registros ecográficos de 53 pacientes hospitalizados. Se utilizaron gráficos de control para evaluar las curvas de aprendizaje de un alumno en comparación con los resultados del radiólogo, la calidad de la imagen y el sitio anatómico.

Descubrimos que no se ha adoptado ampliamente como una herramienta para evaluar el entrenamiento POCUS o para monitorear el desempeño de POCUS en el tiempo. Utilizamos dos escenarios diferentes, mostramos que la calidad de la imagen es un factor de evaluación importante que afecta la valoración de la curva de aprendizaje. Los gráficos de control LC-CUSUM y CUSUM son herramientas gráficas para evaluar de forma intuitiva las curvas de aprendizaje y se pueden utilizar para el seguimiento en tiempo real una vez que el alumno alcanza un nivel predefinido de competencia

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Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.

Derechos de autor 2023 Sandra Patricia Usaquén-Perilla, MSc, Deliana Ropero-Rojas, PhD, Jaime Mosquera-Restrepo, PhD, Jonathan D. Kirsch, MD, Zachary P. Kaltenborn, MD; José Isidro García-Melo, PhD; Lyda Elena Osorio-Amaya, PhD