Health News June 11, 2026

White House warns 500+ hospitals to post price information or face fines: Report

The Trump administration has sent warning letters to 519 hospitals nationwide citing them for failing to provide transparent pricing information, the Associated Press reported June 9.

The AP exclusively received a list of hospitals that have either received warning letters or requests to submit plans to provide transparency pricing since April. A senior administration official who requested anonymity told the news outlet that President Donald Trump plans to ramp up price transparency enforcement and more hospitals are likely to receive letters for failure to comply.

In 2019, President Trump signed an executive order that directed HHS to develop rules requiring hospitals to publish prices “that reflect what people actually pay for services in a way that’s clear, straightforward and accessible to all.” Federal price transparency laws have been in effect for hospitals since Jan. 1, 2021, and July 1, 2022, for payers.

President Trump has revisited price transparency multiple times in his second term. In February 2025, he signed another executive order directing HHS and the Labor and Treasury departments to “rapidly implement and enforce” the regulations he introduced in his first term. The “Great American Healthcare Plan” proposal the White House unveiled in January called for any healthcare provider or insurer that accepts Medicare or Medicaid to prominently post their pricing and fees in their places of business.

New price transparency rules took effect for hospitals April 1 regarding machine readable files. The changes focus on three core areas: attestation language and executive accountability for file accuracy, new requirements for percentile allowed amount reporting and counts of allowed amounts, and National Provider Identifier reporting.

The list obtained by the AP shows that Texas-based hospitals received the most warning letters with 42, followed by California (38) and Indiana (34). Every state except Alaska had at least one hospital receive a warning letter.

Houston-based University of Texas MD Anderson Cancer Center was among the hospitals that received a warning letter, according to the report. CMS informed the cancer center that it found “a minor formatting issue involving a date field,” which was quickly corrected. CMS accepted the updated documentation and there “were no concerns regarding the integrity or completeness of the data.”

St. Louis-based Ascension — one of the largest nonprofit health systems in the U.S. — had 13 hospitals across multiple states receive letters, according to the report. The system said the letters identified a “minor technical error” and that it is committed to giving patients “the information they need to make informed decisions.”

The American Hospital Association told the AP in a statement that its member hospitals support price transparency and the majority have complied with the new requirements that took effect this year. The AHA said the price transparency system is not working as well as it could for patients, however, and that hospitals will continue working with the administration to improve pricing information and transparency.

CMS has fined 28 hospitals for alleged price transparency violations since the law took effect in 2021. To date, only one hospital has been fined for violations in 2026. Ten hospitals received fines in 2025.


Duke Health launches fund to accelerate nurse-led innovation

Duke Health has established a Nursing Innovation Fund to support nurse-led care models and help nurses develop, test and scale new ideas aimed at improving patient outcomes and strengthening the profession.

The fund was created through a gift from Nancy Schlichting, chair of the Duke University Health System Board of Directors, and her wife, Pam Theisen, according to a June 10 news release.

The Nursing Innovation Fund is designed to support nurses in imagining, testing and scaling innovations that improve care for patients and families while addressing challenges within the profession.

Ms. Schlichting, a Duke University alumna who graduated in 1976, began her healthcare career at Duke Hospital.


Kaiser prices 2026 healthcare workers strike at $1B

Oakland, Calif.-based Kaiser Permanente spent more than $1 billion on temporary staffing and related costs to keep facilities running during a January–February nurses strike, the health system said in a statement to Becker’s.

The walkout began Jan. 26 and ended Feb. 24, when the United Nurses Associations of California/Union of Health Care Professionals union accepted Kaiser’s offer of 21.5% across-the-board wage increases over four years. Members ratified the contracts in March. More than 3,000 pharmacy and lab workers represented by United Food and Commercial Workers also walked out for three days in solidarity before returning Feb. 12. UNAC/UHCP called the action the largest strike of nurses and healthcare professionals in U.S. history.

Kaiser said the $1 billion price tag reflected short-term operational spending and should be distinguished from the longer-term wage question. The union had sought increases that Kaiser said would have added roughly $3 billion annually to its payroll; the ratified agreement totals about $2 billion in annual increases. Kaiser also said its 2026 premium increases were among the lowest among peers and expects a similar outlook for 2027.

The Alliance of Health Care Unions said 2025 negotiations initially produced agreements on artificial intelligence, staffing, training and benefits before breaking down over pay. Both sides have said they are working to rebuild the labor-management partnership.

Kaiser reported $9.3 billion in net income in 2025, as health systems broadly navigate workforce pressures.


Anthropic Wants Government to be Able to Shut Down AI that Threatens Hospitals

Anthropic has published two policy frameworks urging the federal government to take a more assertive role in regulating frontier AI systems — including granting legal authority to block or deter deployments that pose catastrophic risks.

The company’s Advanced AI Framework proposes mandatory safety testing, independent evaluation, and civil penalties tied to global annual revenue for violations, according to the June 10 policy note.

Anthropic specifically flags cyber risk as a priority concern for critical infrastructure — including hospitals. The company’s own Claude Mythos Preview model identified thousands of high-severity vulnerabilities across major operating systems and browsers, illustrating the dual-use danger of frontier AI capabilities. The framework calls for hardening software infrastructure, deploying technical support to critical infrastructure operators, and replacing legacy systems.

A companion Economic Policy Framework addresses workforce displacement and the distribution of AI’s financial gains. Health systems are already dealing with AI-related job replacement and staff redeployment.

Anthropic said it does not believe Congress should preempt state AI law unless federal legislation meets or exceeds the standards proposed in the framework.


OpenAI May Slash Prices as AI Competition Heats Up

OpenAI is considering significant reductions to what it charges for tokens — the unit AI companies use to bill for services — as it anticipates similar moves from rival Anthropic, the Wall Street Journal reported June 10.

The potential cuts come as business executives have grown resistant to rising AI costs, according to the story. OpenAI CEO Sam Altman acknowledged the problem at a recent event, saying costs had become “a huge issue” and signaling the company would help customers “get more value for less spend.”

The pricing pressure reflects a broader enterprise spending reckoning, the Journal reported. Earlier this year, an Uber executive said the company had exhausted its 2026 budget for agentic AI.

For health system CIOs and AI procurement leaders, a price war between the two dominant AI platforms could meaningfully lower the cost of deploying large language models at scale — and increase pressure to justify current AI spending against measurable clinical or operational outcomes.