Lucas Voss

And where does clinical AI meaningfully change that equation for you?

I do want to follow up on this really quickly because it feels like it's a very personal issue for you, I feel like, because you know both sides.

Is that correct?

And why is that so important to you personally from your position where you're at?

You mentioned something really important, which is the technical readiness piece.

And this is one of my favorite topics to talk about because we saw so much of this in 2025.

There's a ton of AI pilots.

Every organization wants to do it, right?

They start projects and then they sort of fade.

There's very few examples of sustained impact.

We're seeing some, but very few across the nation right now, especially for ASCs.

For ASCs today, what are some of those AI use cases with clinical AI use cases that you're looking to that are actually delivering value and what separates those from the pilots that don't scale?

You mentioned my favorite F word, the facts.

It's still being mentioned in 2026 in podcasts.

So make sure that you know what a facts is.

If you don't, you probably don't.

You talked about scalability here.

What's that one factor for you personally that's most important for organizations to scale?

To be able to do that, you've touched on it earlier in the conversation, you need data and you need good data.

And we talk about quality reporting and it's sort of this compliance exercise that a lot of folks are talking about, but it's also a leading indicator for readiness for a lot of organizations.