What question did this study set out to answer?

The aim is to analyze racial bias present in health algorithms and its effects on the identification of patient care needs.

October 24, 2019ScienceOpen Access

Dissecting racial bias in an algorithm used to manage the health of populations

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Randomized trial reveals racial bias in a health algorithm, suggesting reforms for equitable care.

The aim is to analyze racial bias present in health algorithms and its effects on the identification of patient care needs.
Evaluated a widely used health algorithm for racial bias in patient risk assessment.
Estimated the impact of bias on the number of Black patients receiving extra care.
Proposed reforms to the algorithm to eliminate reliance on costs for health needs.
Black patients with the same risk level are found to be sicker than White patients.
Racial bias leads to more than half of Black patients not being identified for additional care.
Reformulation of the algorithm removes the bias, improving health equity.

Obermeyer et al. (2019) studied this question.

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