A realistic-but-fictional administrative claims dataset with 300 synthetic records. Contains claim identifiers, procedure codes (haven-labelled), costs, and provider locations. No real patient data.
Format
A tibble with 300 rows and 9 columns:
- claim_id
Integer. Claim identifier.
- patient_id
Character. Patient identifier.
- service_date
Date. Date of service.
- dx_code
Factor. Diagnosis code.
- proc_code
haven_labelled. Procedure type (Consult / Surgery / Lab / Imaging).
- cost
Numeric. Claim cost in dollars, some missing.
- approved
Logical. Whether the claim was approved, some missing.
- provider_city
Character. City of the service provider.
- postal_code
Character. Forward sortation area (FSA).