Eric BurnettGuest
Alexander GlaserGuest
Mike ChengHost
Molly HeubleinHost

Yeah, I think a healthy skepticism of AI is perfectly normal, especially if you're a late adopter.

But I think it has, like I mentioned before, really tremendous potential in the medical education space.

So I try to ask people who are a little skeptical, what is it that you do? What is your niche? And there's a way that AI can help you.

And it's really fantastic for that to help learners who are struggling in certain domains like medical knowledge or inpatient care to help generate cases.

It's great for students to put their write-ups in there and get real-time feedback.

And it's great to sort of help you give feedback to learners, too, to help give you a sort of a formulaic approach to giving feedback.

So there's a lot of different aspects of AI that you can use for medical education.

I try to just sort of take the person and ask them what their specific niche is and then sort of go from there.


Yeah, I mean, I think AI, I see three big spheres, and this was sort of summarized really well in last year's New England Journal review that I think has gotten just super popular in talking about AI, where you can talk about task offloading for some of the things that we do, either administratively, like my fellowship letter example, or some of the administrative work we do in the EHR, like billing.

We can talk about offloading of our cognitive processes for patient care, and also thinking about the educational enhancement.

We can talk about this, I'm sure we'll get to this later in our recording, but talking about some of the great work that's happening out of programs like NYU for feedback and dashboard use with residents.

So there's a lot of great ways that AI can not just enhance our clinical care, but then also enhance the educational experience for our learners.

So I see a lot of great opportunity as this takes off and people really start having innovative applications.

And I would say personally, definitely the cognitive load of having an AI scribe is amazing, of not having to be like, oh, I'm going to remember this later because I didn't get to type it now.

If we want to kind of pivot it a little bit, there are also some risks to using AI in education.


Yeah, I think a healthy skepticism of AI is perfectly normal, especially if you're a late adopter.

But I think it has, like I mentioned before, really tremendous potential in the medical education space.

So I try to ask people who are a little skeptical, what is it that you do? What is your niche? And there's a way that AI can help you.

And it's really fantastic for that to help learners who are struggling in certain domains like medical knowledge or inpatient care to help generate cases.

It's great for students to put their write-ups in there and get real-time feedback.

And it's great to sort of help you give feedback to learners, too, to help give you a sort of a formulaic approach to giving feedback.

So there's a lot of different aspects of AI that you can use for medical education.

I try to just sort of take the person and ask them what their specific niche is and then sort of go from there.


Yeah, I mean, I think AI, I see three big spheres, and this was sort of summarized really well in last year's New England Journal review that I think has gotten just super popular in talking about AI, where you can talk about task offloading for some of the things that we do, either administratively, like my fellowship letter example, or some of the administrative work we do in the EHR, like billing.

We can talk about offloading of our cognitive processes for patient care, and also thinking about the educational enhancement.

We can talk about this, I'm sure we'll get to this later in our recording, but talking about some of the great work that's happening out of programs like NYU for feedback and dashboard use with residents.

So there's a lot of great ways that AI can not just enhance our clinical care, but then also enhance the educational experience for our learners.

So I see a lot of great opportunity as this takes off and people really start having innovative applications.

And I would say personally, definitely the cognitive load of having an AI scribe is amazing, of not having to be like, oh, I'm going to remember this later because I didn't get to type it now.

If we want to kind of pivot it a little bit, there are also some risks to using AI in education.
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