My follow up question is now “if junior doctors are exposed to AI through their training is doctor + AI still better overall?” e.g. do doctors need to train their ‘eye’ without using AI tools to benefit from them.
In a perfect world, there would be no problem - those of us who enjoy the experience would vibe-code whatever they need, and the rest of us would develop our skills the way we want. Unfortunately, there is a group of CXOs, such as the ones at Github, who know better and force the only right way down their employees throats.
I agree.
I work in healthcare and if you take a tech view of all the data there are a lot of really low hanging fruit to pick to make things more standardised and efficient. One example is extracting data from patient records for clinical registries.
We are trying to automate that as much as possible but I have the nagging sense that we’re now depriving junior doctors of the opportunity to look over hundreds of records about patients treated for X to find the data and ‘get a feel’ for it. Do we now have to make sure we’re explicitly teaching something since it’s not implicitly being done anymore? Or was it a valueless exercise.
The assumptions that we make about training on the job are all very chesterton’s fence really.