Healthcare Data Bias Detection Framework

Create a sophisticated framework for detecting and mitigating bias in healthcare datasets and machine learning models. Develop a multi-stage approach that can identify potential sources of bias across different data collection methods, patient demographics, and model architectures. Implement advanced statistical techniques for bias quantification, including intersectional analysis and fairness metrics. The solution should provide both automated bias detection and recommendations for model correction.