HIPAA-Compliant Medical Training Module Data Anonymizer

Design a Python script using pandas and cryptography that automatically anonymizes student training records in medical education datasets. The script must remove personally identifiable information while preserving statistical integrity, generate encrypted mapping logs, and ensure full HIPAA compliance. Include robust error handling for different data formats and demonstrate how the anonymization can be reversibly tracked for audit purposes.