this post was submitted on 29 Oct 2024
6 points (100.0% liked)

Medicine

1092 readers
3 users here now

This is a community for medical professionals. Please see the Medical Community Hub for other communities.

Official Lemmy community for /r/Medicine.

[email protected] is a virtual lounge for physicians and other medical professionals from around the world to talk about the latest advances, controversies, ask questions of each other, have a laugh, or share a difficult moment.

This is a highly moderated community. Please read the rules carefully before posting or commenting.

Related Communities

See the pinned post in the Medical Community Hub for links and descriptions. link ([email protected])

Rules

Violations may result in a warning, removal, or ban based on moderator discretion. The rule numbers will correspond to those on /r/Medicine, and where differences are listed where relevant. Please also remember that instance rules for mander.xyz will also apply.

  1. Flairs & Starter Comment: Lemmy does not have user flairs, but you are welcome to highlight your role in the healthcare system, however you feel is appropriate. Please also include a starter comment to explain why the link is of interest to the community and to start the conversation. Link posts without starter comments may be temporarily or permanently removed. (rule is different from /r/Medicine)

  2. No requests for professional advice or general medical information: You may not solicit medical advice or share personal health anecdotes about yourself, family, acquaintances, or celebrities, seek comments on care provided by other clinicians, discuss billing disputes, or otherwise seek a professional opinion from members of the community. General queries about medical conditions, prognosis, drugs, or other medical topics from the lay public are not allowed.

  3. No promotions, advertisements, surveys, or petitions: Surveys (formal or informal) and polls are not allowed on this community. You may not use the community to promote your website, channel, community, or product. Market research is not allowed. Petitions are not allowed. Advertising or spam may result in a permanent ban. Prior permission is required before posting educational material you were involved in making.

  4. Link to high-quality, original research whenever possible: Posts which rely on or reference scientific data (e.g. an announcement about a medical breakthrough) should link to the original research in peer-reviewed medical journals or respectable news sources as judged by the moderators. Avoid login or paywall requirements when possible. Please submit direct links to PDFs as text/self posts with the link in the text. Sensationalized titles, misrepresentation of results, or promotion of blatantly bad science may lead to removal.

  5. Act professionally and decently: /c/medicine is a public forum that represents the medical community and comments should reflect this. Please keep disagreement civil and focused on issues. Trolling, abuse, and insults (either personal or aimed at a specific group) are not allowed. Do not attack other users' flair. Keep offensive language to a minimum and do not use ethnic, sexual, or other slurs. Posts, comments, or private messages violating Reddit's content policy will be removed and reported to site administration.

  6. No personal agendas: Users who primarily post or comment on a single pet issue on this community (as judged by moderators) will be asked to broaden participation or leave. Comments from users who appear on this community only to discuss a specific political topic, medical condition, health care role, or similar single-topic issues will be removed. Comments which deviate from the topic of a thread to interject an unrelated personal opinion (e.g. politics) or steer the conversation to their pet issue will be removed.

  7. Protect patient confidentiality: Posting protected health information may result in an immediate ban. Please anonymize cases and remove any patient-identifiable information. For health information arising from the United States, follow the HIPAA Privacy Rule's De-Identification Standard.

  8. No careers or homework questions: Questions relating to medical school admissions, courses or exams should be asked elsewhere. Links to medical training communitys and a compilation of careers and specialty threads are available on the /r/medicine wiki. Medical career advice may be asked. (rule is different from /r/Medicine)

  9. Throwaway accounts: There are currently no limits on account age or 'karma'. (rule is different from /r/Medicine)

  10. No memes or low-effort posts: Memes, image links (including social media screenshots), images of text, or other low-effort posts or comments are not allowed. Videos require a text post or starter comment that summarizes the video and provides context.

  11. No Covid misinformation, conspiracy theories, or other nonsense

Moderators may act with their judgement beyond the scope of these rules to maintain the quality of the community. If your post doesn't show up shortly after posting, make sure that it meets our posting criteria. If it does, please message a moderator with a link to your post and explanation. You are free to message the moderation team for a second opinion on moderator actions.

founded 2 years ago
MODERATORS
[email protected]
[email protected]
[email protected]
6
Leaked Training Shows How Doctors in New York’s Biggest Hospital System Are Using AI (www.404media.co)
submitted 2 weeks ago* (last edited 2 weeks ago) by [email protected] to c/[email protected]
1 comments fedilink hide all child comments
 

My thoughts are summarized by this line

Casey Fiesler, Associate Professor of Information Science at University of Colorado Boulder, told me in a call that while it’s good for physicians to be discouraged from putting patient data into the open-web version of ChatGPT, how the Northwell network implements privacy safeguards is important—as is education for users. “I would hope that if hospital staff is being encouraged to use these tools, that there is some significant education about how they work and how it's appropriate and not appropriate,” she said. “I would be uncomfortable with medical providers using this technology without understanding the limitations and risks. ”

It's good to have an AI model running on the internal network, to help with emails and the such. A model such as Perplexity could be good for parsing research articles, as long as the user clicks the links to follow-up in the sources.

It's not good to use it for tasks that traditional "AI" was already doing, because traditional AI doesn't hallucinate and it doesn't require so much processing power.

It absolutely should not be used for diagnosis or insurance claims.

top 1 comments
sorted by: hot top controversial new old
[–] [email protected] 2 points 1 day ago

I blame my tech background for being intensely suspicious of pretty much all AI. The AI developed by MIT for early detection of preliminary stages of breast cancer on mammograms that was trained on an extremely rigorously vetted and sanitized data set is probably the only breed of AI I would actually trust in medicine.

I once had ideas about creating a learning algorithm (not quite as complex as AI and not a black box) that uses data from medical professional input to generate suggestions for triage and protocols in emergency medicine. My idea was to feed it the triage notes, vitals, labs, diagnosis, and disposition with patient demographics (and NO PII) to create a statistical model that would look at the triage notes and the intake vitals to make a suggestion for triage level and empiric labs/testing to expedite care.

Obviously, the triage nurse (or any other staff member, really) could override it and input a higher level of triage because there's no good way to reliably teach a machine gestalt or heuristics. A really experienced healthcare provider will almost always have a good sense for which patients are currently just compensating and will be crumping shortly. I just think having a statistical model that puts in empiric orders to get stuff started while the patient is still waiting to be brought back could expedite care a lot.

The thing that made me think of this is the fact that every time I have seen a kiddo come through the ER with vision changes that were not fixed by glasses, they had some kind of intracranial mass, and it would just make stuff go so much faster if the head CT was already done by the time the physician could actually see the patient. (Or patients that are on the border of meeting SIRS criteria having a bunch of labs already done.)