266
Nvidia Wants to Replace Nurses With AI for $9 an Hour
(gizmodo.com)
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 20 Mar 2024
266 points (94.0% liked)
News
23367 readers
2643 users here now
Welcome to the News community!
Rules:
1. Be civil
Attack the argument, not the person. No racism/sexism/bigotry. Good faith argumentation only. This includes accusing another user of being a bot or paid actor. Trolling is uncivil and is grounds for removal and/or a community ban. Do not respond to rule-breaking content; report it and move on.
2. All posts should contain a source (url) that is as reliable and unbiased as possible and must only contain one link.
Obvious right or left wing sources will be removed at the mods discretion. We have an actively updated blocklist, which you can see here: https://lemmy.world/post/2246130 if you feel like any website is missing, contact the mods. Supporting links can be added in comments or posted seperately but not to the post body.
3. No bots, spam or self-promotion.
Only approved bots, which follow the guidelines for bots set by the instance, are allowed.
4. Post titles should be the same as the article used as source.
Posts which titles don’t match the source won’t be removed, but the autoMod will notify you, and if your title misrepresents the original article, the post will be deleted. If the site changed their headline, the bot might still contact you, just ignore it, we won’t delete your post.
5. Only recent news is allowed.
Posts must be news from the most recent 30 days.
6. All posts must be news articles.
No opinion pieces, Listicles, editorials or celebrity gossip is allowed. All posts will be judged on a case-by-case basis.
7. No duplicate posts.
If a source you used was already posted by someone else, the autoMod will leave a message. Please remove your post if the autoMod is correct. If the post that matches your post is very old, we refer you to rule 5.
8. Misinformation is prohibited.
Misinformation / propaganda is strictly prohibited. Any comment or post containing or linking to misinformation will be removed. If you feel that your post has been removed in error, credible sources must be provided.
9. No link shorteners.
The auto mod will contact you if a link shortener is detected, please delete your post if they are right.
10. Don't copy entire article in your post body
For copyright reasons, you are not allowed to copy an entire article into your post body. This is an instance wide rule, that is strictly enforced in this community.
founded 1 year ago
MODERATORS
Telemedicine is fantastic and an amazing advancement in medical treatment. It's just that people keep trying to use it for things it's not good at and probably never will be good at.
For reference, here's what telemedicine is good at:
It's never going to replace a nurse or doctor completely (someone has to listen to you breathe deeply and bonk your knee). However, with advancements in medical testing it may be possible that telemedicine could diagnose and treat more conditions in the future.
Using an Nvidia Nurse™ to do something like answering questions about medications seems fine. Such things have direct, factual answers and often simple instructions. An AI nurse could even be able to check the patient's entire medical history (which could be lengthy) in milliseconds in order to determine if a particular medication or course or action might not be best for a particular patient.
There's lots of room for improvement and efficiency gains in medicine. AI could be the prescription we need.
I think the main thing is that
is a much bigger deal than it seems. There's just so many little things that you gain from a physical examination that would be lost through the cracks otherwise. Lots of people get major diagnoses from routine lymph node checks or abdominal palpitations. Or the patient stands up to leave, winces, the doctor goes "You okay?" and the patient suddenly remembers "Oh yeah, my dog knocked me over and my leg has been hurting for three weeks and it pops when I put weight on it".
We're physical beings, and taking care of our physical forms requires physical care, not a digital approximation of it. I definitely agree telemedicine has a place especially in the spots you identified, but they can't replace a yearly physical exam without degradation of care.
Yes, I was a bit too extreme with my answer above, however, you'll be hard pressed to find people who don't already know, to formulate such a good question as:
Refilling meds, absolutely... As long as the AI has access and can accurately interpret your medical history
This subject is super nuanced but the gist of the matter is that, at the moment, AI has been super hyped and it's only in the best interest of the people pumping this hype to keep the bubble growing. As such, Nvidia selling us the opportunities in AI, is like wolves telling us how Delicious, and morally sound it is to eat sheep 3 times daily
Oh and I don't know what kind of "therapy" you were referring to... But any psy therapy simple cannot be done by AI... You might as well tell people to get a dog or "when you feel down, smile"
This is the crux of the issue imo. Interpreting real peoples' medical situations is HARD. So the patient has a history of COPD in the chart. Who entered it? Did they have the right testing done to confirm it? Have they been taking their inhalers and prophylactic antibiotics? The patient says yes but their outpatient pharmacy fill history says otherwise (or even the opposite lol) Who do we believe, how do we find out what most likely happened? Also their home bipap machine is missing a part so better find somebody to fix that, or get a new machine.
Everyone wants to believe that medicine is as simple as "patient has x y z symptom, so statistics say they've got x y z condition," when in reality everything is intense shades of grey and difficult to parse, overlapping problems.
That's exactly right... I've been working IT in healthcare for over 20 years and seen this over and over
Even IT stuff, which is 1000 times closer to binary compared to the human body, is very hard to troubleshoot when humans are involved