“Life-and-death decisions relating to patient acuity, treatment decisions, and staffing levels cannot be made without the assessment skills and critical thinking of registered nurses,” the union wrote in the post. “For example, tell-tale signs of a patient’s condition, such as the smell of a patient’s breath and their skin tone, affect, or demeanor, are often not detected by AI and algorithms.”
“Nurses are not against scientific or technological advancement, but we will not accept algorithms replacing the expertise, experience, holistic, and hands-on approach we bring to patient care,” they added.
I’d be all about having an AI system run analysis of data including test results, vitals, and use the output for suggestions like diagnosis, suggested treatment course, etc. These tools should be suggestive and assistive ONLY, with an actual human making the final call. In no way should we be using AI tech to replace qualified healthcare personnel, especially doctors and nurses.
Sure, but this is the same company that lobbied Nixon to institute HMO rather than public health care.
Dude all of these companies are shit stains, and as much as I hate to say it, it’ll probably be a while before we get universal healthcare here in the states, so anything to relieve the problems of the current system should at least be looked at. AI does have the potential to aid in bridging that gap by reducing costs that could ultimately sway public opinion on a single-payer system, while also reducing the workloads of the critically understaffed units so they can actually spend more time per patient and determine proper diagnosis and treatments without making rushed decisions.
The problem is that the allocation of these potential savings are determined by for-profit asshats, so we’ll see how that goes.
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I mostly agree with what you’ve said except for this:
That’s only somewhat true if you’re talking about LLMs like ChatGPT.
AI itself has become a much broader term than it used to be. There are a lot of different kinds of AI out there. Generative AI like text generation (LLMs), image generation (upscaling, or creating images from scratch), or music generation (Suno). Computer Vision is another kind which can include image recognition, object detection, facial recognition, etc. And there are others beyond this.
The AI we’re talking about here falls more under Computer Vision for AI which includes image recognition. In this case the machine learning model has been trained on massive amounts of images like MRIs or CT scans.
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