Amanda Eisel

getting there on the data.

But understand also in that, this is kind of like any classic problem that you solve.

You set a goal, you get to that goal, and you look around and you say, well, that probably wasn't perfect.

So in this case, what we find is a lot of the formats aren't consistent.

And that makes it hard to use the data, even for companies like

Awesome.

That ups the barriers to it being useful.

And so that's some of what you see now in this next evolution of how do we think about putting more guidance around consistent formats, how the data comes out so that it can be useful.

Well, I think it's a decade-long journey for a couple of reasons.

One, because of what we talked about here, that this first phase of just getting to clean and useful data is a multi-year journey.

Two, because of what we also talked about of you've got to bring other data in for it to be useful.

But there's a third one that we haven't talked about yet, which is you got to get people to start using the data.

And so this is the what does it alone not solve?

It doesn't solve the engagement part either on.

side of the healthcare consumer or the system itself.

Let me talk about the consumer part, because that's probably the easiest.

Look, just because this data itself, you can get it to a useful part, we still also have to advance, how do we get tools in the hands of

consumers that literally at the point that they're thinking about shopping for care, they think, I'm going to go there.

I'm going to use that.

Part of that is a tool being useful.