Where I'm familiar with AI in healthcare is tools to help radiologists and cardiologists detect cancer early. This is a support AI, not the AI doing all of the work.
I'm also hearing about the potential for generative AI to provide a good bedside manner in "discussing" a diagnosis with a patient. Not diagnosing, but having more patience and time than a doctor has to communicate with the patient on known entities.
We use ML for measuring sleep state and finding opportunities to stimulate the brain to improve the efficiency of deep sleep.
Where are these "worst possible ways" that I'm unfamiliar with?
Some doctor patient visits may fall under multiple codes, so billers will optimize for the highest paying code.
One instance I observed all the ED providers huddled around a screen watching a yt video for a pediatric patient, we are not a children’s hospital. They all watched then discussed the video before going back out to the pt.
I’m sure there should be better documentation available but so much of their jobs is judgement based already.
Medical specific trained LLMs are likely to be commonplace in near future for providers based on feedback I’ve gathered.