‘If it weren’t for the intransigence of the American Medical Association, we’d be well on our way to fleets of AI doctors diagnosing diseases and prescribing treatments.’

AI software embedded in video devices, wearables and sensors—not to mention actual patient monitors—can continuously track post-surgery patients in real time, sending predictive insights to care teams regardless of where they’re stationed. 

A network of more than 100 clinics is leveraging AI to lay off more than 175 of its 2,500 or so nonclinical staff by early November.

The Utah Department of Workforce Services warns that 177 people at Revere Health are expected to lose their jobs by Nov. 3. The health system said automation upgrades are necessary to stay competitive. 

People with substance use disorders stand to benefit from healthcare AI just like any other patients. But they may have to wait a bit longer than most others since AI has only just begun to emerge in addiction medicine. 

AI could appreciably improve the delivery of healthcare services to patients—if only people trusted it. For many, the difference-maker would be nicely crafted federal regulations. 

It’s too soon to characterize the economic impact of AI across Western healthcare with anything more than rough guesstimates. This is so for two reasons. 

Many Gen Z-ers pursuing careers in healthcare to avoid AI-related workforce shrinkage will learn a hard lesson: Job security and job satisfaction are two very different things.