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How race became ubiquitous in medical decision-making tools
It was created with the best intentions: a government policy asking researchers to collect racial data to help address health disparities. But it may have had an unintended opposite effect, paving the way for the problematic use of race in an array of medical decision-making tools.
Starting in the 1990s, the National Institutes of Health began requiring the collection and reporting of racial data in its funded research. It was a major pivot point, revealing in stark, undeniable numbers racial divides in health outcomes. But to a new generation of researchers, that quantification enabled the development of algorithms that misused race as a health risk factor.
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