The Output Is Not the Execution

Last week I posted about catching ourselves overstating a capability. Here is the claim I am willing to make.

Most AI in healthcare does not fail because the model is wrong. It fails the moment someone treats the output as the outcome. A generated prior auth is not a submitted one. A flagged denial is not a worked denial. The system caught it is not somebody acted on it.

The output is not the execution. And the obligation never moved.

That gap is where we work. Not building the model, not scoring it, not governing it from a dashboard. Staffing the distance between what a system produces and what an organization can actually stand behind.

What that means in practice is narrow enough to describe.

Every output lands somewhere defined. A named person owns it. There is a stated condition for when a human steps in, rather than a general expectation that someone is watching. What happened gets written down, including the times nothing needed to happen.

We call it Human-Assured™ operations.

I want to be careful about what that buys, because this is the sentence most vendors skip.

It is not coverage. You cannot write a check for every failure, and the ones that hurt usually involve more than one thing going wrong at once. Neither people nor software get an error rate to zero, and anyone selling you a system that does is selling you the demo.

What it buys is that a failure has somewhere to surface. It has to get past more than one person to reach a patient, and when it does get past, there is a record that lets you find out how.

That is a smaller promise than the category usually makes. It is also the one I can defend on a Tuesday, in a real operation, when something has gone wrong and someone is asking who owned it.

If you are at MGMA this week, we are at booth 428. Worth a conversation if any of the last four months of this has landed near something you are dealing with.