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.