I bet just even solving the errors in diagnostics and/or catching stuff before it's too far gone would be huge in itself. I'm not talking AGI here, just bog standard perceptual stuff: looking at xrays, MRIs, mining medical records for patterns, handing unstructured medical records better, low hanging stuff like that.
Automating literally any automatable healthcare process with software is virtually guaranteed to eliminate errors in that process, because it wouldn't be implemented in the first place if its accuracy wasn't superhuman. It's a lot of different bog standard stuff like you said. Medical imaging, yeah this should already have been done by now. Parsing medical records--you don't even need neural networks for that. But then it's no longer a Solving Medical Errors problem but instead a Automating Medical Job X problem. The general problem per se as I envision it would watch a stream of written actions performed in a hospital (maybe even surveillance footage) and determine if an error happened or is likely to happen; that's AGI.
