Automated Clinical Trial Data Validation Framework

Create a Python-based automated validation framework for clinical trial datasets using pandera and great_expectations. Develop custom data quality checks that validate statistical distributions, detect anomalies in patient response data, and generate comprehensive validation reports. The system should automatically flag potential data entry errors, inconsistent measurements, and outliers while maintaining a detailed audit trail of all validation processes.