HIPAA-Compliant Patient Data Anonymization Pipeline

Design a robust Python data processing script using pandas and cryptography that automatically anonymizes patient medical records while preserving statistical integrity. The script must: 1) Remove personally identifiable information, 2) Generate consistent pseudonymous identifiers, 3) Maintain referential consistency across multiple datasets, 4) Implement AES-256 encryption for sensitive fields, and 5) Generate comprehensive anonymization logs with traceability. Include error handling for edge cases like incomplete records or non-standard data formats.