Complex Medical Research Data Normalization Pipeline

Create a comprehensive Excel workflow that uses MySQL stored procedures to normalize disparate medical research datasets across multiple clinical trials. Develop advanced data cleaning macros that handle multi-source data ingestion, standardize measurement units, resolve conflicting patient identifiers, and generate comprehensive data quality reports. Implement automated data validation checks with error logging and automatic quarantine of suspicious records.