Today you can try to cajole your human doctor into listening more, or ordering more tests, or considering things you heard online or from acquaintances. AI will be guided to take that into account less because a doctor being more sympathetic and bypassing "standard practice" is an expense caused by humanity that the machine can be trained to avoid.
Today you can go across town and try your luck with another doctor. If it's all AI, you'll just repeat your story to the same basic model and get the same basic dismissal.
The problem arose from trying to make people behave like machines in order to save money. Making a machine behave like a machine ain't gonna help.
You need to shift the goal from "saving money" to "helping people." AI doesn't do that.
In the absence of such a thing OpenAI is already quite good, some theoretical perfect shouldn't be trotted out as a counter if it doesn't actually exist.
How? I'd expect them to already have standardized lists of the most useful next thing to investigate given what's already known, and a modern "AI" would actually be worse at that than some sort of solver engine with a database of costs/risks (for tests) and conditional probabilities.
Maybe if they're still using (digitized versions of) paper flowcharts things could be improved, but the most powerful tech should be old-school stuff rather than modern "AI".
LLMs already work fantastically with pretty good UX.
[citation needed]