SAS Analytics Pro Advanced Programming offers key statistical capabilities in a docker container. The product bundles selected executables from SAS Viya to create the container, which eases or streamlines the setup required for fixes and updates to the software.
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.
Welcome to this blog series on how to install SAS Analytics Pro on Viya on your personal MacBook. In this first post, we introduce what SAS Analytics Pro on Viya is and how to install the software.
When I started working at SAS in 2005, one of the most popular ways to use SAS software was the SAS Analytics Pro bundle on SAS®9. And why not? It provided all the analytics power of trusty SAS Display Manager coupled with the elegance and ease of use of SAS®
SAS Analytics Pro consists of three core elements of the SAS system: Base SAS®, SAS/GRAPH® and SAS/STAT®. The containerized deployment option adds the full selection of SAS/ACCESS engines making it even easier to work with data from virtually any source.
SAS Analytics Pro is an easy-to-use, yet powerful package for accessing, manipulating, analyzing and presenting information. It lets organizations improve productivity with all the tools and methods needed for desktop data analysis – in one package.
