Dr. Michael Gao

And so you provide a lot of care.

All the sort of notes on the care goes into a binder.

And to get paid on that care, you couldn't FedEx the binder to a payer and say, like, please read through this and figure it out.

And so you come up with effectively shorthand to compress that binder into sort of a set of codes that correspond to payment.

And I think that sort of initially with kind of software, it actually...

didn't transform the process.

It just recreated that process in a digital way.

So now instead of... So all the complexity was still there.

All the complexity is still there.

So, you know, now instead of paper, you have electronic charts, but you're still going kind of tab by tab.

Instead of a stack of binders, you have a priority list and a work queue on some piece of software.

But fundamentally, you know, it's still a person going through each chart and kind of doing all of that work.

And I think with...

And then kind of the second part is that they have to – kind of each payer receives information in a slightly different way, has slightly different requirements.

And so it took a lot of human intelligence to understand those patterns.

Sure.

United wants it this way and Aetna wants it that way.

Exactly.

And now with AI, I think there's a transformation, which is it's not just –

humans doing the work, but switching from a paper medium to an electronic medium, it's that AI can take a first pass at doing the work and humans can actually just supervise that.