title: Forecasting patient census: commonalities in time series models.
abstract: Highly accurate patient census forecasting models are specified for five hospitals by use of a general equation for integrated autoregressive moving average (IARMA) forecasts. A general census forecasting model, based on features common to all five institution-specific models, is described and its forecasts are compared to those from the specific models.
mesh_terms: D006761:Hospitals / Q000706:statistics & numerical data*; D006801:Humans; D008962:Models, Theoretical; D010361:Patients