Test Data for Risk Adjustment
test_data.RdA dataset containing randomly generated data with 1000 rows for each canton for three insurers.
Format
A data.table with 15 variables and 295'023 rows.
- BagNr
Integer with the BAG-Nr.
- Jahr
Integer with the year of the data.
- MonateHorizont
Integer with the months since the first day of
Jahr.- AhvNr
Numeric with 13 digits representing the AHV-Nr. of each individual. The first three digits are 756. The next digit represents a special test case if 0 or a randomly generated individual if 9.
- Kanton
Character with the canton of the individual.
- Geburtsjahr
Numeric with the year of birth.
- Geschlecht
Character with the sex.
- Gtin
Numeric with 13 digits.
- Pharmacode
Numeric with 5 to 7 digits.
- Packungen
Numeric with max. 2 decimals (rounded).
- Monate
Numeric with max. 2 decimals (rounded).
- Kosten
Numeric with max. 2 decimals (rounded).
- Kobe
Numeric with max. 2 decimals (rounded).
- LinieNr
Numeric with the line number of the uploaded csv-file.
Note
The data provided in the package is randomly generated with 1000 rows for each canton for three insurers. The randomly generated data serves the user for testing purposes but not for generating final invoices, according to SORA PCG. The output objects from this randomly generated data are thus clearly not the same as the output objects from SORA PCG. However when the GE KVG is using the original data provided by the insurers within this package the results are the same as in the output objects of SORA PCG. For a third party there is no possibility to reproduce these results because there is by law no way to get the original data provided by the insurers. The original data is accessible by law only to the GE KVG and the BAG (see VORA Art. 26).
Examples
data("test_data")