Consultas de urgencia general y por causa respiratoria en la Red de establecimientos del Sistema Nacional de Servicios de Salud (SNSS): un modelo predictivo en el Servicio de Salud de Chiloé

Abstract

Objective:The objective of this study was to evaluate a forecasting system, based on SARIMA models for demand Questions Total and Respiratory Emergency, measured in terms of the number of recorded weekly for the consolidated five visits Hospitals Health Service Chiloé network, Chiloé, Chile. Method: Identification, setting, prognosis and SARIMA (Seasonal Autoregressive Integrated the Moving Averages) Model validation for time series queries demand and total respiratory hospital emergency Health Service Chiloé, Chile. Results: applying the protocol identification Box-Jenkins ARIMA models seasonal component, we observed that the number of total views and consolidated emergency presents a seasonal 26-week stats and follows a family of Autoregressive Models-Seasonal SARIMA (p, 0.0) x (P, D, 0), which, for the case study SARIMA a particular structure (1,0,0) x (1,1,0) 26, for both cases, only distinct constant inclusion therein, which, when used to predict, showed failure prognosis according to the statistical models MAPE urgency and respiratory total 5.8% and 4.27% respectively. Conclusions: The predictive performance of the proposed system shows that the methodology set is valid to be used as a tool of demand management of emergency visits in Chiloé Health Service, whereas the projection of this model predicts increasing certainty their forecast periods to the extent that it is incorporating new demand periods which will enhance its use as a tool for planning and management. ResumenObjetivo: El objetivo de esta publicación es evaluar un sistema de pronóstico, a partir de modelos SARIMA para la demanda de Consultas de Urgencia Total y Respiratorias, medida en términos del número de visitas registradas semanalmente para el consolidado de los cinco Hospitales de la Red del Servicio de Salud Chiloé, Chile. Método: Identificación, ajuste, pronóstico y validación de modelo SARIMA para la serie temporal de demanda por consultas de urgencia total y respiratoria en los hospitales del Servicio de Salud Chiloé. Resultados: al aplicar el protocolo de identificación Box-Jenkins de Modelos ARIMA con componente estacional, se observó que las serie de consultas totales y de urgencia consolidadas presenta una estacionalidad de 26 semanas estadísticas y sigue una familia de modelos Autorregresivo -Estacional SARIMA (p,0,0)x (P,D,0), el cual, para el caso en estudio presenta una estructura particular SARIMA (1,0,0)x(1,1,0)26, para ambos casos, diferenciados solamente en la inclusión de la constante en el mismo, los cuales, al ser usados para pronosticar, mostraron un error de pronóstico según el estadístico MAPE para los modelos de urgencia total y respiratoria de 5,8% y

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