Automated Clinical Trial Data Validation Framework

Create a comprehensive Python validation framework for clinical trial datasets using pandera for schema validation and great_expectations for data quality checks. The system should automatically detect missing values, outliers, and statistical anomalies in medical research data. Implement custom validation rules specific to different medical domains (oncology, cardiology, etc.) and generate detailed error reports with recommendations for data cleaning. Include automated email notifications to research coordinators when data quality thresholds are not met.