The Potential for Bias in Machine Learning and Opportunities for Health Insurers to Address It

The authors present a guide to the data ecosystem used by health insurers to highlight where bias can arise along machine learning pipelines. The authors suggest mechanisms for identifying and dealing with bias, and discuss challenges and opportunities to increase fairness through analytics in the health insurance industry.

Resource Details

• Topics of Practice: Data Collection and Analysis
• Outcomes of Interest: Reduction of Health Disparities
• Level of Evidence: Emerging
• Tools or Materials Included in Resource: No
• Social Determinants of Health: Healthcare Access and Quality
• Outside of US: No