President Donald Trump signed an executive order Thursday that aims to challenge state laws on artificial intelligence and speed up plans to create one national AI framework.
NASHVILLE, Tenn.—Health plans often struggle to cross a significant gap in trust with members, and meeting that challenge is critical to engaging with them through digital avenues, experts said.
At the Fierce Health Payer Summit in Nashville, Tennessee, executives from payer organizations discussed the difficulty they've faced accurately pricing their plans for 2026 and reassuring members.
At an event hosted on Wednesday, O'Neill decried the federal government's regulatory wrangling of AI and digital health companies and explained initiatives inside HHS to unleash the power of AI.
The annual conference was held in Anaheim, California, and saw about 2,400 attendees. The topic of courage often showed up in keynotes and in sessions addressing economic and policy pressures.
Two startup leaders—Shiv Rao, CEO of Abridge, and Derek Lo, CEO of Medallion—and an investor, Vineeta Agarwala, general partner at Andreessen Horowitz, give their takes on the state of healthcare AI and how it will evolve in 2026.
The proportion of hospitals offering only the lowest level of pediatric care services more than doubled over a 20-year period, researchers found, with moderate-level services in particular becoming more rare.
The Trump administration has offered the first look at enrollment in marketplace plans as the debate over the future of the enhanced premium tax credits rages on.
Independent pharmacies face a paradox today between offering in-demand therapies like GLP-1s and staying solvent. GoodRx Community Link is changing that.
Discover biosimilars, a newer class of drug positioned to save Americans billions, and how one company is leading this cost-saving, medical revolution.
Fitch Ratings gave the sector a "neutral" outlook for 2026, while noting strong demand and ongoing work to cut expenses and boost revenues ahead of the One Big Beautiful Bill Act's full implementation.