Two Years of RCM Intelligence. Here Is What Actually Mattered.

Hi and Happy Tuesday.

This is the last edition of this newsletter. 

We are pausing to redirect our energy toward something new. Our door is always open to questions - feel free to reach out to me directly at [email protected].

Before we go, we want to leave you with the six ideas that showed up again and again across two years of coverage. Not summaries of articles. The actual insights. The ones that proved durable.

The six things that kept being true

1. Your clean claim rate is hiding the real number.

It measures what got through, not what made it to submission. The most expensive denials never become claims at all.

2. One overlooked line in the 835 can cost you 60 hours of rework.

A single documentation gap produced 74 denials before anyone connected the pattern. The fix was in the data the whole time.

3. Cash velocity and collections are not the same number.

You can collect everything you are owed and still have a cash flow problem if the timing is wrong. The practices pulling ahead shortened the distance between service and payment.

4. Medical necessity is where clean claims go to die quietly.

By the time the EOB arrives, the rework cost has already been paid. The gap closes before submission, not after.

5. AI's real value is not speed. It is pattern recognition at volume.

Every tool that moved revenue did the same thing: surfaced a pattern invisible to humans at scale. It did not replace the decision. It made the right decision obvious.

6. The staffing squeeze is not the cause. It is what happens when inefficiency runs out of headcount to absorb it. 

The practices gaining ground are not hiring their way out. They are removing the rework that made the headcount necessary.

The question we are leaving you with:

Of the six problems above, which one does your organization know about, has the data to fix, and has not fixed yet? 

That gap is not a technology problem. 

What is it?

Thank you for reading every Tuesday. It has been a real pleasure sharing these ideas with you, and we hope some of them made a difference.

Feel free to stay in touch via our other newsletters:

• Behind the Project

• Becoming AI Native

See you on the other side,

Dino Gane-Palmer