Matt Blosl, CEO of DexCare, has a core mission to help large health systems use AI responsibly to attract patients and work with them to get appropriate care. While AI's data-processing capabilities are transformative, its use in clinical recommendations remains in its early stages, constrained by fragmented data and the limited availability of validated diagnoses. Matt advises healthcare leaders to adopt a problem-first approach to AI implementation and to use technology to drive significant change rather than just incremental improvements to existing workflows.

Matt explains, "Artificial intelligence is interesting. We're still in what I consider to be the Gold Rush phase of a new technology. Certainly one as disruptive as this. So I think a lot of our clients are still trying to figure out what it means. From my perspective, you said it very well. Google or the internet was kind of our first foray into providing patients more access before they even seek care or before they go in to receive care. And what I see right now is that the AI platforms are kind of the next level of that. The richness of the information is greater. And so patients are coming in more informed, and they can feel comfortable making decisions even more than they could with Google. That's clear in terms of how it's impacting the patients. I think the health systems are still trying to get their arms wrapped around what the appropriate use of AI across the enterprise is."

"Now, when it comes to making treatment recommendations, I still think we're in the early stages. There are still many hallucinations. The data sources we're pulling from are still fragmented. Data hygiene and some of that data are not always accurate. So I think there's going to have to be a lot of evolution in how we manage the data and improve interoperability, so that all of the data can start to talk to one another, and we can really have a complete picture before these platforms can really impact care."

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