[DigDugDude]

As I said above, there is widespread use of clinical decision support systems already. They do things like flag patients that the program determines might have sepsis in the hospital.

The issue is, even these relatively simple programs generate large numbers of false positives and negatives.

Now, let's say someone has an uncommon cause of epigrastric pain. Epigastric pain is a very non-specific symptom to begin with. So, the amount of rule based work up you can do on that information alone even for common causes is very small. Nevermind the uncommon causes.

Accurately diagnosing and following up on each patient that walks through your door over the course of an entire 80 year medical history is infinitely more complex than getting a plane from point A to point B.

And, the problem of people giving up after having worked through algorithms isn't necessarily solved by more and more formal algorithms. Airline safety is actually a perfect example of why that is the case. Plenty of cases of pilots getting fixated on what the auto pilot is telling them.