The difference is that the practitioner can distinguish the difference from hallucination from fact while an LLM cannot.

Sorry, what do you mean by this? Can you elaborate? Hundreds of thousands of medical errors occur annually from exhausted medical workers doing something in error and ultimately "hallucinating," and not having caught themselves. Might, like a spellchecker, an AI have tapped them on the proverbial shoulder to alert them of such an error?

A supercomputer is only as powerful as it’s programming.

As a software engineer, I understand that; but the capacity to aggregate large amounts of data and to provide a probabilistic determination on risk-assessment simply isn't something a single, exhausted physician's mind can do in a moment's notice no differently than calculating Pi to a million digits in a second. I'm not even opposed to more specialized LLMs being deployed as a check to this, of course.

Example: I know most logical fallacies pretty well, and I'm fairly well versed on current-events, US history, civics, politics, etc. But from time-to-time, I have an LLM analyze conversations with, say, Trump supporters to double-check not only their writing, but my own. It has pointed out fallacies in my own writing that I myself missed; it has noted deviations in facts and provided sources that upon closer analysis, I agreed with. Such a demonstration of auditing suggests it can equally be quite rapidly applied to healthcare in a similar manner, with some additional training material perhaps, but under the same principle.