As the healthcare industry evaluates how to pay for artificial intelligence (AI) solutions, industry experts say data and real-world evidence are essential for reaching any payment decisions. In this Forbes article, McDermott Partners Dale C. Van Demark and Jiayan Chen provide insight into some of the regulatory challenges AI presents.
“For AI to be paid for, you need data that shows your product is making a difference,” Chen notes. “To do that, you need massive quantities of data to develop the tool or algorithm, but you also have to show that it works in a real-world setting.”
