I had no idea when I wrote that that the talk I was going to tonight would be closely related to this topic. It was a talk about the 20th century polymath Michael Polyani (physician, physicist, economist, philosopher), given by a former surgeon and teacher of surgery who's made a late-in-life career change into teaching writing. One of the things he touched on, and which deserves a lot more thought on my part, is the relationship between reductionism and heuristics in critical decision making.

A good chunk of medicine (and I think many, but not all, aspects of nursing in particular) is about decision-making under conditions of limited information. The speaker observed that doctors coming into surgery from a hard science background tended to be less good at it, because their versions of reductionism led them into continuous loops of information gathering, trying to find more and more grains of detail. Doctors who were able to reductively eliminate information in order to converge on decisions were more talented. I asked him how this related to the current developments in medicine with respect to machine learning, robotic surgery, "AI"-driven imaging, etc. He said he didn't have any good answers, but if he were starting his medical career again, that's where he'd want to be.

So first, I think that the kind of intelligence required to make good decisions in an information-restricted environment is maybe not as immediately glamorous as the kind that makes the cover of Nature, but it's just as important. Second, the ways in which different areas of knowledge are converging in medicine makes it a pretty exciting place to be for someone with your interests, and you've got a lot of time to explore them.

Edited to add: I suppose I should note that almost all the nurses I know are or were ER, flight, or ICU nurses, which colors my views.