nikilr

Yes we've taken a look at this. In fact we had a pretty good test case from our teammate's real visit where the text to speech was mistranscribed (despite using a medical model) to the point where it looked like the doctor said to eat a topical steroid. However, because of that case and a few other complicated cases in our internal benchmarks, we've made the after visit prompt much more reliable, both identifying and cleaning up mistakes in the transcript, and marking points where you really ought to confirm with your doctor if it's unclear from context what it was actually supposed to be.

Please try it out and lmk what you think! We would love your feedback!

Note that our tool is not diagnosing or prescribing, simply noting what the doctor said and giving suggestions to the patient of useful questions to ask and contextual plain English definitions of medical jargon

Yes, actually that was our first experiment! We stripped it for this launch so we could more intelligently handle the cost and latency.

Every time I talk to a doctor they suggest we should do this. Honestly there's often enough time in the waiting room even if the patient doesn't do it at home lmao. Then just show the doctor a few bullets with quotes.

Thoughts?

wait how does that work? because you're borrowing the heat from somewhere else?