Imperfect algorithms. Resistant clinicians. Wary patients. Divisive disparities. The plot ingredients of a flashy techno-thriller coming to a cineplex near you? No—just a few of the many worries that provider organizations take on when they move to adopt AI at scale. 

It’s more critical for U.S. healthcare to get medical AI right than to get it adopted far, wide and ASAP.

Early May will mark the first anniversary of the officially declared end of the COVID-19 public health emergency by the U.S. Department of Health and Human Services. Nevertheless ... 

December 2023 brought the 10th consecutive month with balance sheets in the black—and most healthcare financial leaders believe the momentum will have some legs.

Just 10.5% of U.S. physicians said they view private equity ownership in healthcare in a positive light. 

Bringing inexperienced clinicians up to speed on real-world patient care is now the No. 1 safety issue troubling healthcare providers. 

Years will pass before the global economy’s healthcare sector sufficiently leverages AI to build major financial muscle off of it. And even then, industry players are likely to see gains well ahead of hospitals and health systems. 

The White House held a roundtable discussion on lowering healthcare costs last week. Fortune magazine followed up with one of the panelists, business mogul and Cost Plus Drugs cofounder Mark Cuban.