the medical records should automatically include Bayesian probability data on symptoms to help nurses recognize when the diagnosis doesn't fit
Medical expert systems are getting pretty good, I don't see why you wouldn't just jump straight to an auto-updated list of most likely diagnoses (generated by a narrow AI) given the current list of symptoms and test results.
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I am not saying this narrow AI should be given direct control of IV drips :-/
I am saying that a doctor, when looking at a patient's chart, should be able to see what the expert system considers to be the most likely diagnoses and then the doctor can accept one, or ignore them all, or order more tests, or do whatever she wants.
No, I don't think so because even if you rely on an automated diagnosis you still have to treat the patient.
Even assuming that the machine would not be modified to give treatment recommendations, that wouldn't change the effect I'm concerned about. If the doctor is accustomed to the machine giving the correct diagnosis for every patient, they'll stop remembering how to diagnose disease and instead remember how to use the machine. It's called "transactive memory".
I'm not arguing against a machine with a button on it that says, "Search for conditions matching recorded symptoms". I'm not arguing against a machine that has automated alerts about certain low-probability risks - if there was a box that noted the conjunction of "from Liberia" and "temperature spiking to 103 Fahrenheit" in Thomas Eric Duncan during his first hospital visit, there'd probably only be one confirmed case of ebola in the US instead of three, and Duncan might be alive today. But no automated system can be perfectly reliable, and I want doctors who are accustomed to doing the job themselves on the case whenever the system spits out, "No diagnosis found".