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Publisher Wiley is using its rich database of research to train large language models.

Welcome back! What do football and weight loss have in common? Tom Brady, of course. The former NFL quarterback announced last week an “exclusive offer” for healthcare workers to access GLP-1s for $25 per month. Hopefully that doesn’t leave anyone feeling too deflated…

In today’s edition:

Learning from the experts

A billion here, a billion there…

Making Rounds with Scale AI

—Cassie McGrath, Caroline Catherman

AI

A physician on a desktop computer that shows a healthcare cross made of binary code

Brittany Holloway-Brown, Photos: Adobe Stock

When we think of AI in healthcare, our minds tend to go to tech companies like Abridge or Nvidia. But what about the research that teaches large language models (LLMs) about medicine?

In early March, “ChatGPT for doctors” OpenEvidence announced it had added academic journal and research publisher Wiley’s content to its platform, which provides real-time answers based on peer-reviewed research to queries from medical professionals. OpenEvidence also partnered with journals JAMA Network and the New England Journal of Medicine in June 2025 and February 2026, respectively, with this deal marking a continued shift that may prompt medical researchers to update their strategies in the face of AI.

With a 219-year history, Wiley publishes 1,500+ peer-reviewed journals and 1,500+ books each year, according to its website. In 2026, that work will also mean incorporating new technologies, like AI.

“We wanted to ultimately be able to shape how AI influenced our ecosystem, rather than be shaped by it,” Josh Jarrett, Wiley’s SVP and general manager of AI growth, told us.

Here’s how AI learns from a publisher.—CM

From The Crew

Health symbol with stars flickering

Illustration: Francis Scialabba

The Medicare Advantage (MA) multibillion-dollar rating and rewards system is getting a makeover and a payday.

On April 2, the Centers for Medicare and Medicaid Services (CMS) finalized an update to the five-star performance rating system that impacts rebates and determines which providers receive quality bonus payments.

These changes include removing 11 measures, some focused on administrative processes and others that provided “little useful comparison” of plan quality because most plans score similarly in those areas, CMS said in an April 2 press release.

The agency also added a new Part C depression screening and follow-up measure, dropped a previous proposal that aimed to reward plans for addressing health disparities, and kept a measure in place that rewarded plans for past strong scores. (The measure was previously proposed to end.)

The changes will cost an additional $18.6 billion in federal funding from the Medicare Trust Fund from 2027 through 2036, about 0.21% of total Medicare payments to private health plans during that time, CMS estimates.

Read on for mixed reactions to all of the above.—CC

TECH

Headshot of Scale AI's MaryAnne Rizk

Scale AI

Each week, we schedule our rounds with Healthcare Brew readers. Want to be featured in an upcoming edition? Click here to introduce yourself.

For this week’s Making Rounds, we talked with MaryAnne Rizk, general manager of healthcare and life sciences at Scale AI.

The software company focuses on providing data and other tools to help develop and oversee AI systems. Since its 2016 founding, it has worked with big names including Cisco, Mayo Clinic, the US federal government, and even the government of Qatar. Meta announced plans to invest $14.3 billion in the company in June 2025 after Scale generated close to $1 billion in revenue the year before, per CNBC.

Rizk talked with us about the company’s efforts to increase responsible, evidence-based AI in healthcare.

Read the full conversation here.—CC

VITAL SIGNS

A laptop tracking vital signs is placed on rolling medical equipment.

Francis Scialabba

Today’s top healthcare reads.

Stat: 40. That’s how many measles cases have been confirmed in California in 2026 so far, the most in seven years. (LA Times)

Quote: “It actually is embarrassing to me that I used to use family members to help with interpretation in the office.”—Kevin Coleman, Grand River Health’s chief medical officer, on how the Colorado rural hospital is making money by addressing language barriers (NPR)

Read: Meet the MAHA movement’s major machers. (Politico)

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