One expert's perspective on smart health AI investments

AI is a "shiny object" right now, but finding success depends on getting the scut work of data management right, says Dr. Deepti Pandita, CMIO & VP of Clinical Informatics at University of California Irvine Health.

AI is more readily adopted in other industries, and there are "thousands of reasons for that," says HIMSS Chief Scientific Research Officer Anne Snowdon. The biggest is that in healthcare lives are at stake. "We don't ever take that for granted."

Yesha Patel, data scientist at Keck Medicine of USC says some applications come out of the box "ready to go." Others require a more customized approach – but that requires a lot of in-house expertise, like data scientists and AI architects.