Datasets that Support the EDGE Server DIY Logic
Adult Demographic Factors - Table 9
Adult Enrollment Duration Factors - Table 9
Adult HCC Grouping Factors - Table 9
Adult HCC Factors - Table 9
Adult Interaction Factors - Table 9
Adult Rx Condition Factors - Table 9
Adult RXC/HCC Interaction Factors - Table 9
Condition Category Hierarchies - Table 4
HCC to interaction group "H" mapping - Table 6
HCC to interaction group "M" mapping - Table 6
HCC to severity group mapping - Table 6
Child Demographic Factors - Table 9
Child HCC Grouping Factors - Table 9
Child HCC Factors - Table 9
RA-eligible CPT and HCPCS - Table 2
HCPCS to Rx Condition Crosswalk - Table 10b
ICD to Condition Category Crosswalk - Table 3
Infant Demographic Factors - Table 9
Infant Maturity/Severity Factors - Table 9
NDC to Rx Condition Crosswalk - Table 10a
Rx Condition Hierarchies - Table 11
Datasets from most recent CCIIO DIY entry in a tidy format. These support the Centers for Medicare and Medicaid Services' (CMS) risk adjustment Do-It-Yourself (DIY) process, which allows health insurance issuers to calculate member risk profiles under the Health and Human Services-Hierarchical Condition Categories (HHS-HCC) regression model. This regression model is used to calculate risk adjustment transfers. Risk adjustment is a selection mitigation program implemented under the Patient Protection and Affordable Care Act (ACA or Obamacare) in the USA. Under the ACA, health insurance issuers submit claims data to CMS in order for CMS to calculate a risk score under the HHS-HCC regression model. However, CMS does not inform issuers of their average risk score until after the data submission deadline. These data sets can be used by issuers to calculate their average risk score mid-year. More information about risk adjustment and the HHS-HCC model can be found here: <https://www.cms.gov/mmrr/Articles/A2014/MMRR2014_004_03_a03.html>.