In this third article, we will introduce an alternative approach that surfaces the CMS-HCC Risk Adjustment Model execution through SASPy integration to a Flask application. We will demonstrate how this integration allows a user to score an individual patient/member on-demand, using inputs to an interactive web form to execute the model score code, surfacing the resulting score to the user.
The CMS-HCC Risk Adjustment models are used to reimburse Medicare Advantage plans based on the health status of the plans’ members. CMS-HCC Risk Adjustment is the practice of assigning a risk score based on demographics and diagnoses to an individual beneficiary of Medicare for the purpose of calculating an expected cost of care, relative to the average beneficiary. Accurate risk adjustment requires an accurate diagnostic profile of an individual on an annual basis, documenting diagnoses via submitted claims or within a provider's medical record.
Whether you like it or not, Microsoft Excel is still a big hit in the data analysis world. From small to big customers, we still see fit for daily routines such as filtering, generating plots, calculating items on ad-hoc analysis or even running statistical models. Whenever I talk to customers,