Machine Learning Can Revolutionize Healthcare, But It Also Carries Legal Risks

In a preview of the HIMSS Machine Learning & AI for Healthcare event, Carium general counsel Matt Fisher explains two areas of potential liability concerning artificial intelligence – and explains how healthcare organizations can protect themselves.

As machine learning and artificial intelligence have become ubiquitous in healthcare, questions have arisen about their potential impacts.

And as Matt Fisher, general counsel for the virtual care platform Carium, pointed out, those potential impacts can, in turn, leave organizations open to possible liabilities.  

"It's still an emerging area," Fisher explained in an interview with Healthcare IT News. "There are a bunch of different questions about where the risks and liabilities might arise." 

Fisher, who is moderating a panel on the subject at the HIMSS Machine Learning & AI for Healthcare event this December, described two main areas of legal concern: cybersecurity and bias. (HIMSS is the parent organization of Healthcare IT News.)