Is trial and error any way for a sprawling health system to roll out AI? Duke Health’s chief medical information officer believes so. 

Many if not most hospitals and other provider organizations take a decided interest in what their peer institutions are doing with AI. A major motivator for the keen curiosity is gauging how well one is keeping up with the Joneses. So to speak.

Apple’s AI Doctor had better be one good virtual physician. 

Among the myriad processes to which AI could be meaningfully applied in healthcare, perhaps few are more easily overlooked than discharging patients from the hospital. 

Investors are betting on generative AI to solve costly provider workflow inefficiencies. So are provider executives. 

Wearable health gadgets equipped with AI present myriad opportunities and challenges to healthcare consumers and the healthcare professionals who diagnose, treat and track them. 

California has moved assertively to legislate guardrails around AI in healthcare. Will other states follow? 

Healthcare AI agents can be classified as one of four models. In increasing order of autonomy and clinical integration, these are: foundation, assistant, partner and pioneer.