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Optum Algorithmic Health Risk Scores Reportedly Underestimated Black Patients' Needs

AI Incident Database · article · Oct 24, 2019 · UTC

Researchers analyzing an Optum algorithm used by a large academic hospital reportedly found evidence that it tended to under-predict the health care needs of Black patients, which in turn appeared to result in lower prioritization for extra care programs compared with white patients exhibiting similar health profiles.

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recordType
incident-report
evidenceStatus
reported
region
Global

Reported occurrence date: 2019-10-24T00:00:00.000Z

Evidence & attribution

AI Incident Database, Responsible AI Collaborative; McGregor (2021), Preventing Repeated Real World AI Failures by Cataloging Incidents. Incident-specific contributor credits are available at each citation link. Metadata adapted; article text excluded.

License: CC BY-SA 4.0

First collected: 2026-09-19T22:50:59.123Z. This is not the publication date.

Observed changes

AIIC observation times, not verified publisher revision times. Up to eight recent revisions.

2026-09-20T23:22:28.549Z

  • publishedAt: Not provided2019-10-24T00:00:00.000Z