HIPAA-Compliant Patient Record Anonymization Pipeline

Design a Python data pipeline using pandas and cryptography that automatically anonymizes patient medical records while preserving statistical integrity. The script must remove personally identifiable information (PII), replace names with randomized identifiers, and generate an encrypted mapping file for potential future re-identification. Implement robust encryption using Fernet symmetric encryption and ensure all transformations maintain HIPAA compliance standards. Include error handling for different data formats and logging mechanisms to track anonymization processes.