[NorthOf33rd]

This is the scariest real life attempt to use the bullshit machine I’ve seen so far.

Nothing like “subtly wrong” clinical notes to affect positive medical outcomes. And time pressed medical professionals are certainly well suited to vigilance tasks like correcting machine generated errors. /s.

I sincerely hope this never sees the light of day.

[manv1]

If you think this is scary you should see how it's done today without AI.

Doctor's handwriting is notoriously bad. Now try putting that into an EMR. Good luck with that! You think you're going to get someone who gets paid $2000/hr to type shit up? Yeah, guess again.

[Pigalowda]

We don’t get paid even close to $2k/hr. Where is that number from? Many physicians type notes, others use dragon dictation, or medical assistants/scribes.

I used to type, now I dictate.

Quality of note is provider dependent though. If an LLM can improve quality of notes across the board through simple summary that’s interesting. But the input matters - is the provider actually asking the right questions? Did they look at past relevant history and other notes and put it in their current note?

The LLM should be in a HIPAA compliant environment and have access to the EMR. Then it provides a tidy summary for that. Second it should have relevant questions for the provider to ask during the interview but also a real time/dynamic component which generates relevant follow up questions dependent on patient responses.

Lastly it should put together the old and the new and generate a new note which can then be edited by the provider. Editing notes is much easier than generation of a new high quality note.