A recent study found significant racial bias in an algorithm used by hospitals across the nation to determine who needs follow-up care and who does not.
A recent study published in Science magazine found significant racial bias in an algorithm used by hospitals across the nation to determine who needs follow up care and who does not. Megan Thompson recently spoke with STAT's Shraddha Chakradhar, who explained what the researchers found.There are two ways that we can identify how sick a person is. One, is how many dollars are spent on that person.
In other words, the more dollars a patient was projected to spend on the part of an insurance company or a hospital, then that was a sign of how sick they were going to be. And that seems to be where the bias emerged.I understand that the researchers then sort of use the algorithm using a different type of data. Can you just tell us a little bit more about that? What did they use?Yeah.
Yes. So the day after the study came out, actually, New York regulators, the Department of Financial Services and the Department of Health sent a letter to the company saying they were investigating this algorithm and that the company had to show that the way the algorithm worked wasn't in violation of anti-discrimination laws in New York. So that investigation is pending.
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