HIPAA-Compliant Patient Data Anonymization Pipeline

Design a robust Python data pipeline using pandas and scikit-learn that automatically anonymizes patient health records while preserving statistical integrity. The solution must remove personally identifiable information (PII), replace sensitive data with pseudonyms, and generate a comprehensive audit trail. Implement differential privacy techniques to ensure no individual can be re-identified, and create a configurable anonymization framework that can handle various medical record formats including JSON, CSV, and HL7 FHIR standards.