REGRESSION MODELING SYSTEM USING ACTIVATION SCALE VALUES AS INPUTS TO A REGRESSION TO PREDICT HEALTHCARE UTILIZATION AND COST AND/OR CHANGES THERETO

摘要

#$%^&*AU2017200863A120170831.pdf#####ABSTRACT OF THE DISCLOSURE In a regression modeling system, activation scale values over a plurality of survey participants is used to generate a regression to identify a predictive model that can have a direct explanatory relationship to healthcare utilization and cost. The survey can comprise a number of declarative statements and the responses can be an indication of a participant's level of agreement. The activation scale value for a given individual is thus a predictive dependent variable that can be changed with a known effect on outcomes (independent variables). For example, healthcare utilization and costs will decline as an activation scale value goes up.00 U) 0 0 oC 0 0 cU) 0 Lu 0J ci, Ln (Un( ~U) -Mci TOM C/) a, 0 0 0u 0 :3 . .- U) oM M Ci 0 2:ci 0 7 UJ0 0 C0