Public health systems sit on mountains of data — yet insight remains scarce. The organizations closing that gap aren’t just investing in better dashboards. They’re fundamentally rethinking who gets to ...

As MyMichigan Health continues to refine its leadership model to streamline operations across the health system, three nursing leaders have assumed combined roles as vice president and chief ...

As AI becomes more embedded in clinical workflows, nursing leaders are clear on one point: AI will not replace clinicians. But clinicians who know how to use AI — and leaders who know how to govern it ...

I carefully read Bert Keller’s Feb. 2 column in the Health section invoking the elder prophet Amos. As an 86-year-old physician, Vietnam War veteran and Citadel graduate, I agree that elders have a ...

GeekWire chronicles the Pacific Northwest startup scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and VC directory. by Kurt Schlosser on Feb 9, 2026 at ...

An artificial intelligence (AI) tool accurately predicted which patients would need a skilled nursing facility after leaving the hospital, a new study shows. Led by researchers from NYU Langone Health ...

Consensus proposes retrospective workflows, metrics, multidisciplinary teams, design principles, feedback, and reporting standards for safe deployment of models in healthcare A new expert consensus ...

Following the conversion of Medicaid rate-setting tools in 36 states, Medicaid offices are looking closely at how accurately providers are capturing patient characteristics that drive reimbursement.

UpToDate—the popular clinical research and information database used by thousands of hospitals around the globe—has officially tacked on an AI solution. As one family physician put it, who currently ...

City of Hope ®, one of the largest and most advanced cancer research and treatment organizations in the U.S., launched an innovative national clinical trials model to expand access to emerging ...

The inherent variability and potential inaccuracies of AI-generated output can leave even experienced clinicians uncertain about AI recommendations. This dilemma is not novel; it mirrors the broader ...