Data Collection and Reporting
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
Outcomes of Interest
Reduction of Health Disparities
Priority Population(s)
Setting(s) of Implementation
Geographic Area of Implementation
Implementation Period
2021