发明名称 |
Regression Modeling System Using Activation Rating Values as Inputs to a Regression to Predict Healthcare Utilization and Cost and/or Changes Thereto |
摘要 |
In a regression modeling system, activation rating 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 activation rating for a given individual is thus a predictive variable that can be changed with a known effect on outcomes. For example, healthcare utilization and costs will decline as an activation rating value goes up. |
申请公布号 |
US2015317650(A1) |
申请公布日期 |
2015.11.05 |
申请号 |
US201514704860 |
申请日期 |
2015.05.05 |
申请人 |
Insignia Health, LLC |
发明人 |
Mahoney Eldon R.;Delaney Christopher R. |
分类号 |
G06Q30/02;G06Q50/22 |
主分类号 |
G06Q30/02 |
代理机构 |
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代理人 |
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主权项 |
1. A computer-implemented method for modeling, using a computer system, to predict healthcare utilization and cost based upon a person's activation rating, wherein the activation rating is a variable representing, as a number, the person's self-management ability or activation score, the method comprising:
obtaining activation-rating values over a plurality of survey participants; generating a regression to identify a predictive model that can have a direct explanatory relationship to healthcare utilization and cost; and outputting results. |
地址 |
Portland OR US |