Here is a different take on AI in healthcare: train and only allow clinicians who understand the limitations of AI, to use AI. Make savvy clinicians better. Don’t give it to all clinicians.
This is a throwback to our experience with Dragon Speech recognition over the past decade: DON’T give Dragon speech to a clinician struggling with computer use; instead, give Dragon to a clinician who is computer-savvy and understands the limitations of Dragon.
But, (in the early years) give the non-computer savvy clinician an “opt out” to dictate their notes by dictaphone or telephone, and gradually bring them along.
Having given several non-computer savvy docs access to Dragon in those early years, our hair stood on end when we ended up reading their notes later: they were clearly NOT proof-reading their work and assuming the Dragon engine was perfect at transcription.
Back to the future.
CMIO’s take? Be careful out there, everyone, both on the road with Tesla, and in healthcare with AI.
One thought on “Making clinicians worthy of medical AI, Lessons from Tesla… (statnews)”
I agree with this approach. Having said that, we went live on epic in 2013 and still have a bunch of docs using old fashion transcription. We need some secret sauce that really entices old school docs to learn some level of tech, IMO.