Choosing between GPT and Claude for clinical drafting

Most clinical AI tools quietly pick a single model for you. That's fine until it isn't, whether that's a model update that changes tone, an outage, or a case where a different model's reasoning style would have caught something the first one missed.

In practice, the differences show up less in raw accuracy and more in style: how conservative a model is about uncertain findings, how it structures a differential, how verbose the output is by default. Some clinicians prefer a model that pushes back with alternative explanations; others want the fastest path to a clean draft.

Having access to more than one model behind the same compliant layer means you're not stuck with one vendor's default behavior. You can use one for structured note drafting and another when you want a second opinion worth arguing with.

The compliance layer should be the constant. The model underneath it is a preference, and it's worth treating it like one.