There are a few sides to medicine:

1) looking at tests and working out a set of actions

2) following a pathway based on diagnosis

3) pulling out patient history to work out what the fuck is wrong with someone.

Once you have a diagnosis, in a lot of cases the treatment path is normally quite clear (ie patient comes in with abdomen pain, you distract the patient and press on their belly, when you release it they scream == very high chance of appendicitis, surgery/antibiotics depending on how close you think they are to bursting)

but getting the patient to be honest, and or working out what is relevant information is quite hard and takes a load of training. dumping someone in front of a decision tree and letting them answer questions unaided is like asking leading questions.

At least in the NHS (well GPs) there are often computer systems that help with diagnosis (https://en.wikipedia.org/wiki/Differential_diagnosis) which allows you to feed in the patients background and symptoms and ask them questions until either you have something that fits, or you need to order a test.

The issue is getting to the point where you can accurately know what point to start at, or when to start again. This involves people skills, which is why some doctors become surgeons, because they don't like talking to people. And those surgeons that don't like talking to people become orthopods. (me smash, me drill, me do good)

Where AI actually is probably quite good is note taking, and continuous monitoring of HCU/ICU patients