Let’s imagine the possibilities and theoretically demo the results based on current knowledge:
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yes AI made the process fast and the patient did not die unnecessarily.
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same but the patient died well.
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same but the patient died.
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same as either 1, 2, or 3 but AI made things slower.
Demo:
Pharmacy: Patient requires amoxicillin for a painful infection of the ear while allergic to penicillin:
AI: Sure! You will find penicillin in Isle 23 box number 5.
Pharmacy: the patient needs amoxicillin actually.
AI: Sure! The Patient must have an allergic reaction to more commonly used anti inflammatory medications.
Pharmacy: actually amoxicillin is more of an antibiotic, where can I find it?
AI: Sure! While you are correct that amoxicillin is an antibiotic, it is a well studied result that after an infection inflammation is reduced. You can find the inflammation through out the body including the region where the infection is located.
Pharmacy: amoxicillin location!
AI: Sure! Amoxicillin was invented in Beecham Research Laboratories.
What baffles me is why would you use an LLM when what you need is a digital inventory manager. Not bashing your argument’s merits. On the contrary, I think it depicts very well how people will shove AI-marketed shit on already-solved problems and make everyone’s lives worse because it’s ✨modern✨.
It’s the same crap like with blockchain.
People have no idea how sophisticated modern IT systems already are, and if you glue fancy words on solved problems, people will cheer you for being super innovative.
Ugh, blockchain. During the pandemic, I had absolutely no work to do so my boss asked me to make a presentation for him to present on the merits of blockchain. When my response was that it’s overhyped bullshit, he was not thrilled.
I made the requested presentation but it made me feel dirty, so I alt texted every slide’s graphics to include the counterpoint to the bullshit benefits being presented.
My question is: is it being used for inventory management? Or is it being used to feed the entire patient file in to make sure the Pharmacist doesn’t make a mistake as well. Double checking for conflict in the prescription interactions and stuff like that.
Should it be relied as the only thing? No. Is it nice to have another set of eyes on every task? Probably? Could this be solved with the hiring of more pharmacy techs and an education system not driven by profit margins for the investors that actually facilitates the workforce’s technical skills? Yes.
Idk. Just sounds like shitty companies being shitty companies all the way down.
Actual pharmacist here, working in pharmacy IT.
Unlike other industries, Pharmacy is not particularly thrilled about or interested in AI. In fact, my hospital explicitly blocks access to all LLMs.
I was actually kind of hoping to see what Microsoft is claiming here, and just walked away from this post more confused.
I think it’s in reference to this: https://news.microsoft.com/source/asia/features/taiwan-hospital-deploys-ai-copilots-to-lighten-workloads-for-doctors-nurses-and-pharmacists/
Looks like the benefit/headline comes from use of the entire software suite that provides access to a patient’s chart/medical history including checks for interactions/allergies. Most of that has nothing to do with AI but since it has a feature that generates a summary via a language model the whole thing is marketed as an AI Copilot.
You’re not great taking medical advice from a doctor either, seeing how often they’re wrong.
Is “pharmacists seeing more patients” really a measure of something good? I’m a non-native English speaker so cut me some slack but all I can imagine is just longer queues in the pharmacy and more tired pharmacists (and people who now need to wait in the queue now).
“pharmacists seeing more patients” Implies that the queue moves quicker.
A pharmacist can only have so much time in their shift, so being able to more effectively use that time (see more people) would be a good thing.
That’s a noble goal but does adding more people help the (long-term only, please) effectiveness? At what point does it start hindering it?
I would assume that someone like a pharmacist has to be focused all the time, stakes is high…
Do we have precise data about how physiological state of a pharmacist is changing through the shift? Do we know whether or not the pauses between people – which we might or might not have considered a wasted time – are actually essential for their ability to stay focused and reliable? (Is the answer the same for all of them?) Or maybe they could actually still use part of that time in a productive way, right? Also, why is there lack of people in the first place?
Focusing solely on adding more people to the equation seems to neglect factors like this. This tells me that whoever this factoid is trying to impress is not someone who I would want to trust with managing a pharmacy (or anything except maybe some production line) in the first place.
Suggestion: BS from MS about Al helping a
pharmacist filling Rx
