More than 85% of Epic’s customers are now using its AI tools, and independent data from KLAS Research show clinicians who use them report a notably better EHR experience than those who don’t, though a training gap appears to be limiting how much of that benefit clinicians actually see.
Epic reported in a March 10 news release that its AI tools, which include a clinician-facing assistant called Art, a revenue cycle tool called Penny and a patient-facing assistant called Emmie, had reached that adoption level across its customer base, with early site-level results pointing to faster documentation and fewer administrative burdens. Those figures are Epic’s own, drawn from customer health systems and shared in the company’s release, so they describe outcomes at specific sites rather than an industry-wide average.
A KLAS Arch Collaborative report published July 17 offers an independent look at that adoption. Drawing on survey data from 12 Epic organizations, the report found clinicians using at least one AI tool reported a Net EHR Experience Score of 72.2, compared with 64.9 for non-users.
But the report’s clearest finding concerned training, not the technology itself. Fewer than 25% of clinicians who had adopted AI tools agreed they’d received adequate training on using AI-generated content, and that gap showed up directly in the scores. Among clinicians using ambient speech tools, those who strongly agreed they knew how to optimize the tool reported a score of 90.8, compared with 50.4 among those who strongly disagreed.
“Implementing AI tools isn’t as simple as just turning them on,” one CMIO told KLAS.
Read together, the two reports suggest AI use inside Epic’s EHR is now common among its customers, and that using it is associated with a better-rated experience, but the size of that gap tracks closely with how well clinicians are trained.
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