Love to hear from anyone with a different take.
My point, all of the interest and investment in AI diagnosis (IBM Watson comes to mind, but the field is decades old) is caused precisely by the poor practices in the medical field. It is of course naive to think we will solve medicine with software. But we only need to be better than average just like self driving cars are not aming to be perfect, just better than average.
Be a HUMAN doctor and we will need AGI to replace you. Be a robot and you will be replaced by an actual robot.
(note: I do not believe technology is the solution here. I am just a bit pissed after a doctor prescribed stuff without even touching or looking at an acquaintance.)
Experience-based medicine cannot.
So, it's tricky because we want to identify those treatments that actually work based on objective clinical data, as well as those that clinicians have anecdotally found effective based on experience.
And do we want treatments that have been demonstrated to work, or treatments that are based on a provider's best judgement? That's not an easy question to answer.
The benefits of demonstrated effect are balanced with those you describe of the experience-based approach.
It's a gray area.
You just can't AI-away an ER doc (at least not with current tech). Something's got to interview, intubate, suture, palpate, and prescribe all those bleeding, festering, diabetic masses flowing into the ER like the tide of the Thames. Note the downside, an ER doc is a very exhausted, burned-out human, prone to error.
I'm sorry about your acquaintance, I'd be pissed too. You definitely have a right to be!