This is a preview of the September 24 edition of Access Health—Tap here to get this newsletter delivered straight to your inbox on Thursday mornings. Newsweek’s AI Health Summit was yesterday, which means I’m currently sorting through a full day’s worth of conversations, notes and insights to bring you the most useful takeaways. I’ll be back to regularly scheduled programming next week.
In the meantime, I have an extended Pulse Check that picks up right where last week’s edition left off. I spoke with Dan Shoenthal, chief innovation officer at MD Anderson Cancer Center, about what it actually takes to turn AI’s rapidly expanding capabilities into changes that work for the people expected to use them. I sat down with Dan Shoenthal, chief innovation officer at MD Anderson Cancer Center, in Chicago on September 15 to talk about the challenge health care leaders are confronting as AI advances faster than the people, workflows and institutions expected to put it to work.
Read on for a portion of our interview. Editor's Note: Responses have been lightly edited for length and clarity. We’ve been hearing about the promise of AI for several years now.
What’s top of mind for you as health care moves from the hype to actually trying to realize that impact? I think for the last probably two or three years, we’ve been hearing nothing but the hype of artificial intelligence. Every conversation begins and ends with AI, it seems, but I don’t know that we’ve actually seen the impact from the hype.
There are a lot of reasons for that. I think, as providers, we’ve been going through a maturation process of: How do you even adopt this technology, especially considering how rapidly it’s changing? We’re used to technology that we implement and it’s stable for five to 10 years outside of upgrades, not technology where yesterday’s version is nothing like today’s version.
There’s a maturation process that we needed to go through as providers in how you embrace technology like that, but then also, how do you help guide the change for all of our teams? Thinking about our nursing teams, they’ve been practicing the same way for years, and now all of a sudden we’re going to be introducing AI. How can they trust the tests that they used to do themselves?
Extract — continue reading at the source.
