‘I have all kinds of nightmare scenarios playing out in my head, like how am I going to pay my bills?’

AI adoption for real-world healthcare settings can’t happen in a vacuum. 

“Most health systems rely on a financial cost-containment model to inform staffing decisions. Clinicians understand the patient populations and needs over time, yet they are currently excluded from most staffing decisions,” the authors write. 

ChatGPT is only so-so at letting physicians know if any given clinical study is relevant to their patient rosters and, as such, deserving of a full, time-consuming read. On the other hand ... 

Going by compensation rates and trajectories, these might be the worst of times to be a physician in the United Kingdom.

Healthcare CFOs spend more time dealing with cost management and, by extension, operational issues than any other single set of items on their to-do lists.

“Applause broke out in the OR. It was quite an amazing experience,” recalls Winfred Williams, MD, associate professor of medicine at MGH and Slayman’s nephrologist, referring to the moment the kidney “immediately pinked up” during implantation. 

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.