The unintended consequences of population health algorithms
The results of a 2019 research article in the journal Science uncovered significant racial bias in commonly used population health algorithms used to identify and assign care to patients with complex, active health needs. Using a large clinical data set, the researchers showed that Black patients are considerably sicker than white patients at any given risk score. They demonstrated that remedying this disparity would more than …
The unintended consequences of population health algorithms





















