Updates

Anyone with access to Claude can build a healthcare chatbot in a weekend. But getting from a demo to a regulated product clinicians can actually use with their patients can still take months or years of work. Here are the things I believe are critical to get adoption and are difficult to shortcut.

Six years of real-world research and more than 150,000 patient conversations later, we have shown that there is a better way to deliver healthcare.

We wouldn't license a physician who could diagnose accurately but couldn't communicate with patients. So why deploy AI systems that way? Our new Nature Medicine paper proposes a framework for evaluating clinical AI - drawing on lessons from autonomous vehicles, that goes beyond diagnostic accuracy to assess both 'cure' and 'care' behaviors.

In the week before Christmas, a patient at Dell Medical School at the University of Texas in Austin completed a routine follow up after eye surgery. The conversation was led by Dora, Ufonia's AI clinical assistant—marking the first US trial call.