3 ms·
This is a problem with management, not AI. The acuity system obviously doesn't work well and wasn't properly rolled out. It's clear that they did not even expl
by ilaksh 2y ago
This is a problem with management, not AI.
The acuity system obviously doesn't work well and wasn't properly rolled out. It's clear that they did not even explain how it was supposed to work. That's a problem with that system and it's deployment, not AI in general.
Recording verbal conversations instead of making doctors and nurses always type things is surely the result of a massive portion of doctors saying that record keeping was too awkward and time intensive. It is not logical to assume that there is a privacy concern that overrides the time saving and safety aspect of doing that. People make that assumption because they are pre-conditioned against surveillance and are not considering physician burnout with record keeping systems.
It's true that there are large gaps in AI capability and that software rollouts are quite difficult and poor implementation can cause a significant burden on medical professionals as it has here. I actually think if it's as bad as he says with the acuity then that puts patients in danger and should result in firings or lawsuits.
But that doesn't mean that AI isn't useful and won't continue to become more useful.
- RandomGuy4567 2y agoI completelly agree with you. I am a Nurse and also work on AI research (deep learning). In my opinion most of the tension between healthcare profesionals and the diffferent AI systems out there boil down to poor management and shitty implementation. As "decision support tools" there should not be much mistrust or sense of fear towards AI. There are though some concerning isues regarding patient privacy, and employee surveilance/rights. Specially when these systems are sharing sensitive data with third parties. But this can (and provably should) be regulated. Nothing of this "mean that AI isn't useful and won't continue to become more useful". Right on point!