Abstract
Advanced modeling techniques have been employed by BCBSLA to predict the risk of hospitalization (ROH) among its members. BCBSLA noted a strong association between members who were predicted as “high risk” in their ROH AI Predictive Model and members who actually had a COVID-19 admission. As a result, BCBSLA was asked to create a simplified model that could extend to the entire state of Louisiana knowing that detailed member data would not be available to score Louisiana’s entire population.
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