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Since you are a software engineer you must know the difference between deterministic software like a spellchecker and something stochastic like an LLM. You must also understand the difference between a well defined process like a spellchecker and an undefined behavior like an LLM hallucinating. Now ask your LLM if comparing these two technologies in the way you are is a bad analogy. If the LLM says it is a good analogy then you are prompting it wrong. The fact that we can't agree on what an LLM should say on this matter and that we can get it to say either outcome demonstrates that an LLM cannot distinguish fact from fiction, rather it makes these determinations on what is effectively a vibe check.
How about instead you provide your prompt and its response. Then you and I shall have discussion on whether or not that prompt was biased and you were hallucinating when writing it, or indeed the LLM was at fault — shall we?
At the end of day, you still have not elucidated why — especially within the purview of my demonstration of its usage in conversation elsewhere and its success in a similar implementation — it cannot simply be used as double-checker of sorts, since ultimately, the human doctor would go, "well now, this is just absurd" since after all, they are the expert to begin with — you following?
So, naturally, if it's a second set of LLM eyes to double-check one's work, either the doctor will go, "Oh wow, yes, I definitely blundered when I ordered that and was confusing charting with another patient" or "Oh wow, the AI is completely off here and I will NOT take its advice to alter my charting!"
Somewhat ironically, I gather the impression one has a particular prejudice against these emergent GPTs and that is in fact biasing your perception of their potential.
EDIT: Ah, just noticed my tag for you. Say no more. Have a nice day.