Each quarterly update in the Value Maximizer, a model is fit for every measure and for every provider. Depending upon the amount of data and the fit, the selected model may be a time series, simple linear regression, mean, or simply carrying forward the most recent value. Note that models may change from one quarter to the next for a given provider and vary across all providers for a given measure. While confidence limits range for each specific model, provider and data set, the overall accuracy of predicted financial penalties for each program is measured by mean absolute error (MAE) each year. MAE rates are calculated annually by Medisolv and are available upon request.