But what motivated you to write a Service Dogs for Mental Health, uh, w- to write your Service Dogs for Mental Health, uh, only months after graduating from the program? Like, who were you trying to reach with this?

this?So, I've spent the last four decades in my career as, as a computational statistician, a data scientist.

And, and when I...

So I want, you know, I do research.

It's just an obsessive thing for me.

And when I started researching whether a psychiatric service dog might help me, I read like 50 books, academic papers, blog posts, training videos, and all of them covered like a slice of it.

You know, the training manuals, they talk about technique, and the legal, legal guides, they talk about your rights, and the memoirs tell somebody's story, but, but the whole picture wasn't in one place and I couldn't synthesize it, and I wanted hard evidence.

Uh, I assume in your book you probably talk about this sort of thing.

And good morning, Frank.

Good morning, Chuck.

So over the last two weeks, what I've talked about is this chess match analogy and how practicing doing everything right at the chart level can still result in an extrapolated overpayment demand.

This week asked the question, so what do you actually do when the demand letter shows up? Now, traditionally, defending an audit has meant defending charts, right? The defense team pulls the records.

They walk through the documentation.

They argue the coding one claim at a time.

And that work still matters, especially at the ALJ level.

Welcome to Talking Tuesday.

Well, good morning, Chuck.

Let me start with a question for our listeners.

If you're a provider using AI to help with documentation and coding, and at this point, I know a lot of you are, do you also know who else is using AI on those same data? Well, the answer is the people who audit you.

So on one side, providers are deploying tools that listen to the encounters, draft the notes, adjust diagnoses, and they recommend codes.

And these tools are genuinely useful.

They save time, they reduce documentation burden, and for the most part, they capture clinical detail that might otherwise go under unrecorded.

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