HIPAA-Compliant Patient Data Anonymization Pipeline

Design a Laravel-based automated data anonymization pipeline for electronic health records that uses advanced encryption and tokenization techniques. Create a robust script that can process large CSV/XML medical datasets, automatically removing personally identifiable information while preserving critical medical metadata. The solution must include configurable anonymization rules, logging of transformation processes, and a reversible encryption mechanism that maintains data integrity for research purposes.