HIPAA-Compliant Patient Data Anonymization Pipeline

Design a comprehensive Python data anonymization script using pandas and cryptography that automatically sanitizes patient records while preserving statistical integrity. The solution must remove all Personal Health Information (PHI) including names, addresses, and unique identifiers, implement k-anonymity principles, and generate a secure audit log. Include robust error handling for different data source formats and ensure HIPAA compliance with encryption standards.