Recognition Was Never a Separate Job

A person doing the work meets the problem while doing it. Someone reviewing AI output sees only what the system produced, not what it passed over or never examined.

That is a bigger change than the volume argument everyone makes, and I have not worked out what to do about it.

You cannot fully separate clinical from non-clinical by listing all the cases, and nobody fixes that by writing a better list. Nurse triage protocols cover hundreds of symptom presentations. Their own user guide tells the nurse she may override to a higher level of care and should not override to a lower one. The most enumerated system in this space says, in its own instructions, that it can under-call a situation and a person has to catch it.

Here is a recent one from our operation.

A patient called the contact center to schedule imaging. Next available was over a week out. During the call they reported significant chest pain.

Our person recognized chest pain as an escalation trigger, notified the clinic, and stayed on the line. All of that was written down in advance and they followed it.

Then clinical staff took more than five minutes to answer.

Nothing covered that. The protocol named the trigger and named the handoff. It assumed the handoff would be answered. For those minutes they were holding a patient reporting chest pain with no clinician on the other end, checking same-day availability and telling the patient to call 911 if symptoms worsened.

They did it well. The handoff completed and they documented it. I do not know the clinical outcome.

What interests me is where the protocol ran out. Not at the trigger. At the assumption someone would pick up.

That makes healthcare work inherently risky. Not because staff are making clinical decisions, but because the work puts them in contact with information that matters before anyone knows it matters.

Recognition is the thing that separates a person doing the work from a person reviewing the output of the work. The reviewer sees what the system produced. The person doing the work encounters what the system never knew to capture.

We are working on the rest of it now, sitting with the people who have demonstrated they can tell the difference, trying to get what they do intuitively written down into something that can be taught and checked.

Which brings it back to the opening. Recognition was never a separate job. It was a byproduct of doing the work. Automate the work and you keep the responsibility and lose the mechanism that was quietly meeting it.

I do not have a clean answer. What I am fairly sure of is that it will not come from a better policy document, and that an organization relying on recognition should know that is what it relies on.