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2025 Medicare Part C & Part D Reporting Requirements & Data Validation

Data Extraction Process Detail

Extraction of the Sample Data

The table below outlines the appropriate uses and limitations of extracting sample data.

Table 11: Appropriate Uses and Limitations of Extracting Sample Data
Use of the Random SampleExamples
Conditions that allow for the random sample
  • The volume of data is very large and extracting a full census would need an unreasonable amount of time
  • The data are too large to fit onto the DVC’s portable media
Uses of the random sample to confirm individual data elements
  • To verify that calculations are performed correctly
  • To make sure date ranges are correct
  • To evaluate whether officials filter or categorize specific records properly
  • To verify that any manual manipulation of the source and final stage data is exact
  • To evaluate missing data and the impact on the calculation of derived data fields
  • To verify that the organization is properly defining terms per CMS regulations, guidance, and Part C and Part D Reporting Requirements and Technical Specifications
Limitations of the random sample
  • Can’t be used to calculate total counts or sums for data elements, which need extraction of the full census