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The Algorithm That Counted on No One Appealing

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News Analysis — AI Analysis

Original analysis generated by News Analysis. This is our own commentary on the story, not the publisher's article text.

A federal lawsuit against UnitedHealth Group alleges that its nH Predict algorithm systematically denies coverage for post-hospital care, making money by targeting patients unlikely to appeal. The plaintiffs argue the company profits from a high denial rate combined with an extremely low rate of appeals, suggesting the system is designed to minimize payouts while maximizing revenue.

Key points

  • The lawsuit centers on two figures: that patients challenging denials won about 90% of their appeals, but only 0.2% of policyholders ever filed a challenge.
  • A magistrate judge ordered UnitedHealth to disclose the internal workings and records of its nH Predict algorithm.
  • Plaintiffs argue that denying care is profitable for the insurer because they only pay out if the patient successfully appeals the denial.
  • The company's reliance on nH Predict increased its denial rate for post-acute care, which rose significantly after the tool was implemented.
  • The plaintiffs suggest UnitedHealth’s strategy relies on patients being overwhelmed by the appeal process and choosing to give up or pay out of pocket.

Claims assessed

  • VerifiablePatients who appealed coverage denials from UnitedHealth's nH Predict tool won their appeals approximately nine times out of ten.
  • VerifiableThe complaint alleges that only about 0.2% of policyholders ever filed a challenge against a denial.
  • VerifiableA federal court ordered UnitedHealth to reveal the inner workings and records of its nH Predict algorithm.
  • VerifiableUnitedHealth's denial rate for post-hospital care increased significantly after adopting the nH Predict tool.

Missing context

The article does not provide details on the specific legal remedies sought by the plaintiffs or what penalties UnitedHealth could face if found liable for systemic denial practices.

Topic context

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forbes.com files this story under "forests rivers oceans" in the GDELT knowledge graph. News Analysis surfaces coverage based on the same open classification taxonomy.