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Nurses Protest 'Deeply Troubling' Use of AI in Hospitals (www.404media.co)

submitted 7 months ago by dexa_scantron@lemmy.world to c/technology@lemmy.world

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“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.

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[–] Sterile_Technique@lemmy.world 3 points 7 months ago (6 children)

At least in the US, the healthcare system is fucked-and-a half with staffing issues alone. With boomers on the way out of the work force and into the fucking ER, we're in trouble.

If 'AI' algorithms can help manage the dumpster fire, bring it on. Growing pains are expected, but that doesn't mean we shouldn't explore its potential.

[–] bobs_monkey@lemm.ee 8 points 7 months ago (5 children)

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.

[–] Maeve@kbin.social 3 points 7 months ago (1 children)

Sure, but this is the same company that lobbied Nixon to institute HMO rather than public health care.

[–] bobs_monkey@lemm.ee 1 points 7 months ago

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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