Mayo Clinic sued by ex-AI compliance lead over alleged 67% error rate

Mayo Clinic is facing a federal lawsuit from its former AI compliance lead, who alleges the hospital system buried serious flaws in an internal AI tool and pushed her out after she raised the alarm. The complaint puts a hard number on the risk: an alleged 67% error rate in a clinical AI assistant that staff reportedly tried to hide.

What the lawsuit alleges

Former Mayo Clinic research director and AI compliance lead Traci Tamiko Eto alleges that the globally recognized hospital retaliated against her for blowing the whistle on its disastrous implementations of AI health tools. Eto filed the complaint on July 6 in U.S. District Court in Minnesota, accusing Mayo Clinic of retaliation, disability discrimination, and violations of federal medical leave law.

The lawsuit alleges that over roughly 18 months, Eto identified a series of lapses in Mayo’s compliance with federal research standards, including a bypassed institutional review board review, mishandling of patient data and, in one instance, authorization of a cardiac surgical device procedure that had not undergone institutional review board review.

The 67% error rate claim

Among the allegations, the complaint says a 2024 study of Mayo’s digital assistant tool, MAYA, mischaracterized outcomes, deleted unfavorable results and used unauthorized software. The lawsuit says 10 separate whistleblower reports raised similar concerns, alleging researchers sought to conceal a 67% error rate, but that the study was ultimately approved and exempted from IRB inspection.

In plain terms, employees working on the AI assistant allegedly knew it could make errors roughly two-thirds of the time.

Retaliation claims

Eto alleges her supervisor said addressing an earlier privacy issue would “jeopardize the pace on ongoing research projects, which in turn would compromise Mayo’s competitive advantage.”

She says she began to be excluded from executive meetings in early 2025, before being told she was a “poor cultural fit.” She was offered a choice, the lawsuit alleges: either resign, or face alterations to her personnel file that would render her unemployable at Mayo and would impede her career outside the institution.

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Why it matters for healthcare AI

Hospitals are rapidly adopting AI for tasks ranging from research and patient communication to note-taking and administrative support. If an AI system is inaccurate, poorly tested, or deployed without proper oversight, the consequences can be serious, especially in health care, where incorrect information can influence care decisions or undermine trust.

This is not the first high-profile complaint about medical AI accuracy. In November 2023, UnitedHealth was sued for improperly denying claims using an artificial intelligence algorithm, nH Predict, that critics say has a 90% error rate. Regulators, insurers, and health systems are all watching how these cases move through the courts. For more on the sector, see other news.

Options market and stocks to watch

Mayo Clinic is a nonprofit and not publicly traded, but the fallout could spill into listed names tied to healthcare AI, EHR software, and managed care.

• UNH: watch for renewed scrutiny of AI-driven claims tools given the ongoing nH Predict litigation.
• ORCL: watch as Oracle Health (Cerner) pushes generative AI into clinical workflows across hospital systems.
• MSFT: watch on Nuance/DAX Copilot exposure to hospital AI deployments and any tightening of vendor liability.
• GOOG: watch given Google’s Med-PaLM and cloud AI partnerships with major providers.
• HCA: watch as large hospital operators reassess AI vendor due diligence and IRB processes.

What comes next

The lawsuit brings four counts against Mayo Clinic, including retaliation under the False Claims Act, with Eto’s attorneys arguing that because Mayo receives hundreds of millions in federal research funding, her efforts to enforce compliance with federal standards constitute protected activity.

Mayo Clinic has not filed a response to the lawsuit. Traders should watch for any regulatory follow-through from HHS or the FDA, which could reset the compliance bar for clinical AI deployments industry-wide.

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