WEBVTT

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We are the guinea pig generation. The reality

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is as a medical field, as the best physician

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in the world, we just don't know. Do you think

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patients just don't know that we don't know?

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Most people understand what that is on the surface,

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but and I honestly just think that as physicians

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we probably don't say that enough. It's challenging.

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The problem is we have all this access to all

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these different tests and the imaging is only

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getting better and better. And so I think we're

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in this weird kind of bubble right now where

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We have this amazing kind of technology for testing.

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We don't have a way to truly interpret it yet

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because we don't have like the data for it. You

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know, I just had this itch to go into the startup

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world myself. Didn't have the courage to do my

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own startup, but wanted to join one. So I joined

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the company General Medicine. If I could go back

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10 years, I would have probably told that person

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to... Hi, Adam. Thanks so much for joining us

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today. Happy to be here, Rashad. Looking forward

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to the convo. So let's give our audience a bit

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of an intro. Could you tell us what do you do

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in your professional life today and how did you

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end up here? Yeah, happy to. I'm a physician,

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I guess, first and foremost, but didn't kind

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of land on that path. I'd say the traditional

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way. I started college thinking I would be a

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math teacher. We were just briefly chatting about

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math background and prowess. I was also just

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pretty good at math and it was just natural.

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I liked teaching people and helping my classmates.

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I picked that as my initial major, but I played

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basketball in college too. I was really into

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training and performance and making myself as

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best as I could be personally as an athlete.

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And I ended up pivoting to the exercise sciences

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for my undergrad degree. So, you know, which

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was, I don't know, it was sort of like a pre

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-med light type of major. I took an intro class

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and I realized, man, there's a lot of different

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aspects you can go into this. And, you know,

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selfishly in college, I was like, man, this is

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going to be helpful for me to know how to exercise

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and how to train and learn about the body and

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how it adapts and that sort of thing. I got really

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into that, really into strength and conditioning

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performance as well. As an athlete, I was good,

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obviously good enough to play in college, but

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I wasn't great. I had to really work hard to

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be that differential. I finished college thinking

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I would go into exercise sciences, but I wasn't

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sure which avenue because you can go consumer

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or more clinical type of roles. I just decided

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to try both of them. I worked in some gyms. I

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worked for some companies that had their own

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kind of fitness kind of program internally, did

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that out of college. But I decided to go to grad

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school. And in grad school, I dipped my toe in

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my first clinical kind of role, which was working

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in cardiac rehabilitation. And so cardiac rehab,

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I was like, man, this is fun. I got to do stuff

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in the hospital and bedside teaching, education.

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and then got to work with patients, you know,

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in the outpatient facility, crafting their exercise

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programs and nutrition and education. So I kind

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of always followed that like kind of teaching

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kind of arc. I thought I would be a teacher originally

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in college, you know, for high school and maybe

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coach. I had a mentor there and she was one that

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suggested, you know, have you ever considered

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medicine? And I was like, no, I haven't, didn't

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have any doctors in my family. So it really wasn't

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ever really on the radar, but I thought it was.

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interesting in a good way to kind of go forward

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with, you know, the way my life had been. And

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so that took me to medicine. And I think like,

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you know, I was in college in the late nineties.

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So right when, you know, the internet was really

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blooming, you know, and Napster was around for,

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you know, free MP3 downloading, obviously highly

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illegal, but everyone was doing it, you know,

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and I just got really into the technology stuff

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that was coming up. So that whole arc was kind

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of like woven in throughout and always thought

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technology and medicine was something that I

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was super interested in. And so I always gravitated

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to those types of things. And, you know, I think

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in residency, that's probably when I first started

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really getting involved when our hospital system

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was transitioning to Epic as a EMR going from

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paper to Epic. And so I was one of the resident

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representatives on that transition. That just

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kind of was the catalyst that led me down a path

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of like really wanting to optimize the systems

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that physicians and other care teams use. It

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just made my own life so much easier and better

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and more efficient. And I loved being able to

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help others do that. So that is kind of what

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led down the path of informatics formally. And,

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and so, yeah, so I just I did that internally

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at Kaiser for many, many years, ultimately becoming

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the CMIO for the Colorado region of KP. And,

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um, and really enjoyed it, but, you know, I just

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had this itch to go into the startup world myself

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didn't have the courage to do my own startup,

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but wanted to join one. So, um, in August of

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2024, I, um, I left KP and I joined the company

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general medicine, which was really early and

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incubating at that time, but. started with them

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part -time and have continued to work with them

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through today. That is an amazing journey and

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I have a million questions. Let's maybe go in

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chronological order. Sure. One thing I really,

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and my math journey stopped after first year

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of undergrad. The one thing I really enjoyed

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about math is you can test everything, you can

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prove everything as part of learning math and

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doing math. That doesn't exist in the real world.

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Often what I found when I was doing my pre -med

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courses, eventually the answer is we don't know.

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for I found most of the things. They come from

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physiology to biology to chemistry. Like often

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it's like, we just don't know why this happens.

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You know, good example, maybe the Lasix has no

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mortality benefit, but obviously it works. No

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one's going to not use it for heart failure.

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Is that something you struggle with, with having

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the very defined worldview in math, at least

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at the university first year level? And I'm sure

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it gets more vague as we go further along. versus

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kind of being in the real world and real working

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scenarios where most things are unknown. There's

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a lot more probabilities as opposed to determinism

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happening. And how do you kind of tie that into

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how we naturally want a deterministic model of

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the world, but the world exists in a probabilistic

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model? Yeah, that's a great question. You know,

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I don't think I ever made the connection. Between

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me liking math and like what you just said, but

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that it actually makes a lot of sense I've always

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been someone who when I'm learning something

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new I can typically grasp it pretty quickly and

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I think for math it was that was particularly

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evident and you know, so like we could learn

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a new concept and say high school and calculus

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and You know, it's like once it clicked and it

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clicked pretty quickly. I would be like, okay

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I know how to do this. Like I understand the

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rules. I understand the formula, etc I think

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what I quickly learned and would help me like

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Excel in math at an early age was I could then

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like translate that to other people pretty easily.

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But that was, I think something that was just

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like a natural kind of gift that I had. You know,

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I think that piece is probably the piece that

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I think transferred some like much more to medicine

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because as you know, you're always like learning

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stuff. You're taking in kind of, like you said,

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real, real concrete, possibly even deterministic

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things. And then. there's like that gray area

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where there's the uncertainty, the, you know,

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and so, I mean, I tend to write about this type

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of topical bit too, but it's, you know, for me,

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like in medicine, I think the way I see it is

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I want to optimize the crap out of the deterministic

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stuff. Like make that like just so foolproof,

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like super easy for patients, super easy for

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clinicians. Make that part as like automated

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and amazing as possible. Because then I think

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then it leaves like more of that kind of gray

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area to actually focus on. I don't know. That's

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the way I would kind of answer, you know, your

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question. I kind of took it my own way a little

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bit, but I think that's, um, that's kind of like

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been my approach. And that's the part where I

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see, you know, us being able to actually be able

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to care for more people with less human resource

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is to do that. We got to automate the automatic

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stuff and the easy, you know, easy in quotes,

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but the you know, the deterministic, the algorithmic,

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those types of things. We've got to make those

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really simple and easy so we can take care of

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more people. That's been, that would be my connection,

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I think, to kind of the math roots to where I

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am today. A lot of VCs in particular, but people

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in general have predicted the AI physician happening

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in our lifetime and recently within the next

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five years. I think the future is easy to predict.

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It's very hard to predict when it will happen.

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We'll have flying cars, I don't know when. at

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some point in the future, we will. When do you

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think the AI physician is happening? I know there's

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a very early bill in the Senate pushing this

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as well. When do you think that's gonna happen?

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Yeah, I mean, I think I generally say the similar

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thing that you just said, that I'm pretty confident

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it's gonna happen. And I think whatever time

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I'd say somebody with a more conservative estimate

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says, my general gut is that it will be quicker

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than that. But I still do think it's gonna take

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some time. Is that nebulous enough of an answer?

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I mean, I think it'll honestly be iterative and

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kind of progressive in a certain way. I mean,

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I see more of the kind of more innovative startups

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probably pushing the envelope and kind of pushing

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what different AI tools can do for care. And

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it'll be a much longer adoption curve for the

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traditional kind of legacy health systems, you

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know, that just have a lot of reasons why they

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can't change really quickly. But, you know, I

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think like anything, they'll probably be a disruptor

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or significant disruptors that I think will catalyze

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this and will kind of force it to spread. And

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I truly feel it's going to be something that

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truly patients gravitate towards and they demand

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it, right? I mean, I think that's the way it

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happens in all. aspects of our society is ultimately

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it's the customers that really will drive it.

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And so that's why I try and, you know, kind of

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beat the dead horse of like, I really feel strongly

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that physicians and other clinicians need to

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really be leading and pushing this forward and

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really testing and trying things and not being

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so guarded. Because I think if we protect the

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old ways, I think you're just, you're going to

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get usurped at some point. It seems like Chad

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GP and maybe OpenEvidence are sort of leading

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the forefront here from a consumer DTC perspective

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where there seems to be there will be a solution

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now where consumers and patients can upload their

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records into Chad GPT bleed records. Epic is

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building this as well with Cosmos and other tools

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where you can ask queries. from your records

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what are your general thoughts and that is an

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obvious fear that everyone ask do i have hypermaldia

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ADHD and not to say that you know those conditions

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are very real i treat a lot of patients with

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it but the social media push towards if you have

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these symptoms you have this. That sentence is

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as it can be very dangerous and that's a little

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bit of knowledge can be dangerous thing no physician

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diagnosis something from four symptoms. Right.

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I think you just need more information there,

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right? Correct. Yeah. Do you think this is good

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or bad? I think if the LLMs are tuned a little

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bit differently, not just tuned for validation,

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not just tuned to tell me I'm the smartest human

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being ever to walk on this planet, which I know

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I'm not, then I can see this actually being good.

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But the problem is then people won't use it.

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We're kind of in a catch -22. This could be really

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good, but then it... it won't get usage and that

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the quote unquote bad versions of this, the validated

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versions of this will probably get more usage.

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What are your thoughts here? Yeah. I mean, I

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think we're in this weird position right now

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where the tools, you know, like the consumer

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grade and just take chat GPT or Claude or Gemini.

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I mean, all of them are, they're extremely good.

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And like you said, like they're pretty darn good

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with clinical things. Like I think the challenge

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right now, yeah, is like, I think If you just

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use the generic model and just kind of upload

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your stuff, present your information, and ask

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it a simple question, I don't think it's going

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to generate something that is consistently accurate,

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because they really are kind of aimed to please,

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right? That's the way these models really function.

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I think OpenAI just recently published a thing

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where they said that's the reason why these things

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actually hallucinate, because it's actually designed

00:13:01.710 --> 00:13:06.259
to do that. It's designed to kind of give a convincing

00:13:06.259 --> 00:13:09.559
answer to something that may not actually be

00:13:09.559 --> 00:13:12.779
true. But I think, you know, there are ways to

00:13:12.779 --> 00:13:15.360
kind of make guardrails around these things too,

00:13:15.659 --> 00:13:18.559
even in the open kind of models that are out

00:13:18.559 --> 00:13:20.960
there for consumers. I think the challenge is

00:13:20.960 --> 00:13:23.759
like, either the consumer has to be savvy enough

00:13:23.759 --> 00:13:27.860
to put around their own kind of prompting guardrails

00:13:27.860 --> 00:13:30.179
around these types of things and use it in that

00:13:30.179 --> 00:13:33.529
way or they have to like constantly be fact checking,

00:13:33.710 --> 00:13:35.710
you know, everything with another source, which

00:13:35.710 --> 00:13:37.909
is obviously you don't know what to fact check

00:13:37.909 --> 00:13:39.710
when you when you have all that. And I still

00:13:39.710 --> 00:13:43.309
think though, from like, the standpoint of patients

00:13:43.309 --> 00:13:46.990
being able to kind of noodle on their kind of

00:13:46.990 --> 00:13:49.350
concerns, their health information, their data,

00:13:49.610 --> 00:13:51.789
their different studies and things in labs that

00:13:51.789 --> 00:13:54.870
have been done, and to potentially like poke

00:13:54.870 --> 00:13:58.129
and look for other potential explanations, I

00:13:58.129 --> 00:14:01.039
still think is overly positive. I encourage patients

00:14:01.039 --> 00:14:03.620
to do that. I think the part where you just have

00:14:03.620 --> 00:14:06.860
to be careful and stop is if it does say something,

00:14:07.279 --> 00:14:10.360
you really do need to get that validated by someone

00:14:10.360 --> 00:14:13.039
who knows, you know, or knows where to look up

00:14:13.039 --> 00:14:15.500
that information accurately. So I think like

00:14:15.500 --> 00:14:17.440
where things are right now, where I think these

00:14:17.440 --> 00:14:20.450
models are extremely good is On the clinical

00:14:20.450 --> 00:14:23.870
side, so someone who has a clinical mind or say

00:14:23.870 --> 00:14:26.710
like a lawyer, like someone who has law experience

00:14:26.710 --> 00:14:29.149
and knows how to infer which things are wrong

00:14:29.149 --> 00:14:32.669
and not. If you have that expertise and you have

00:14:32.669 --> 00:14:34.830
the right guardrails and prompting around these

00:14:34.830 --> 00:14:38.250
tools, they can be extremely, extremely accurate

00:14:38.250 --> 00:14:41.049
and powerful for what you're trying to use them

00:14:41.049 --> 00:14:43.350
with. So it's going to be wild. I think we've

00:14:43.350 --> 00:14:46.529
hit some crazy leaps and bounds with the LLMs

00:14:46.529 --> 00:14:48.970
that are out there. And maybe we're hitting a

00:14:48.970 --> 00:14:51.350
little bit of like, I wouldn't call it a plateau,

00:14:51.490 --> 00:14:54.149
but it's maybe a little bit of a flattening of

00:14:54.149 --> 00:14:57.070
the ascent. But I still think there's going to

00:14:57.070 --> 00:15:00.450
continue to be significant gains over the next

00:15:00.450 --> 00:15:03.129
few years that handled in the right way are going

00:15:03.129 --> 00:15:06.049
to be really powerful for both clinicians and

00:15:06.049 --> 00:15:09.159
consumers. From what little I know about athletic

00:15:09.159 --> 00:15:11.419
performance and kinesiology, and it is very,

00:15:11.659 --> 00:15:14.419
very little, it seems like we don't differentiate

00:15:14.419 --> 00:15:17.259
as much between physical and mental health as

00:15:17.259 --> 00:15:19.379
we do in medicine. Something I'm thinking about

00:15:19.379 --> 00:15:22.659
a little bit more recently. We seem to just look

00:15:22.659 --> 00:15:25.539
at them through completely separate lenses where

00:15:25.539 --> 00:15:27.559
it's part of the same human body. I don't know

00:15:27.559 --> 00:15:30.799
why we have this arbitrary distinction of mental

00:15:30.799 --> 00:15:32.720
health versus physical health. We're looking

00:15:32.720 --> 00:15:35.379
for an organic cause of mental health, right?

00:15:35.399 --> 00:15:38.159
Instead of just saying, this is health. And I

00:15:38.159 --> 00:15:42.220
think we would be much better off as a field,

00:15:42.379 --> 00:15:45.500
as a society, if we just got rid of the label

00:15:45.500 --> 00:15:49.000
of mental health. Because it's almost as if something

00:15:49.000 --> 00:15:52.220
is broken with you or in you. Whereas physical

00:15:52.220 --> 00:15:54.980
health, you know, no one says if you have diabetes,

00:15:55.200 --> 00:15:57.059
something's broken, you're broken, right? Whereas

00:15:57.059 --> 00:16:00.159
if you have depression, like people might say

00:16:00.159 --> 00:16:02.799
you're broken. Why do you think that is? And

00:16:02.799 --> 00:16:04.960
I kind of see this in the longevity space as

00:16:04.960 --> 00:16:08.600
well. It's all about physical health. You know,

00:16:08.679 --> 00:16:10.919
how do we get rid of this distinction? Can we

00:16:10.919 --> 00:16:12.820
get rid of the distinction? Why do you think

00:16:12.820 --> 00:16:15.320
it exists? And I have a follow up question I'll

00:16:15.320 --> 00:16:19.279
ask after. Yeah. No, I think humans love to compartmentalize

00:16:19.279 --> 00:16:21.659
things and traditionally in medicine, I mean,

00:16:21.820 --> 00:16:24.500
it's always been very compartmentalized, you

00:16:24.500 --> 00:16:27.379
know, over our careers. We've even just seen

00:16:27.379 --> 00:16:30.120
how much of an overlap there is, you know, across

00:16:30.120 --> 00:16:32.460
disease states. I think that just comes from

00:16:32.460 --> 00:16:35.279
historical context of why it is established that

00:16:35.279 --> 00:16:37.960
way. But like you were alluding to and what you

00:16:37.960 --> 00:16:40.980
were mentioning, physical problems can lead to,

00:16:40.980 --> 00:16:43.740
quote, mental problems in yourself. And mental

00:16:43.740 --> 00:16:45.879
problems can obviously lead to physical problems.

00:16:45.919 --> 00:16:48.879
So they're clearly tied together. I mean, I think

00:16:48.879 --> 00:16:51.159
what I a lot of times break down with patients,

00:16:51.700 --> 00:16:54.000
because I think, too, patients, if they come

00:16:54.000 --> 00:16:58.000
in with a symptom, say they come in with abdominal

00:16:58.000 --> 00:17:00.919
pain, And everything's been kind of ruled out

00:17:00.919 --> 00:17:04.579
from from a, you know, an actual digestive functional

00:17:04.579 --> 00:17:09.500
or a physical problem. And, you know, you ultimately

00:17:09.500 --> 00:17:11.920
arrive at something, you know, like, you know,

00:17:12.000 --> 00:17:14.779
IBS or something that's just, you know, this,

00:17:15.220 --> 00:17:17.799
and you start explaining it to them. And the

00:17:17.799 --> 00:17:20.099
way I always break it down is that, you know,

00:17:20.180 --> 00:17:22.480
our brain and our gut are like actually directly

00:17:22.480 --> 00:17:26.460
connected by the same nervous system. And Because

00:17:26.460 --> 00:17:28.740
if you just jump right to saying, hey, I think

00:17:28.740 --> 00:17:32.140
this is, is IBS and, you know, we should try

00:17:32.140 --> 00:17:34.660
X, Y, and Z that, you know, and then they go,

00:17:34.740 --> 00:17:36.099
wait a minute, those things you just mentioned,

00:17:36.180 --> 00:17:38.140
those are like, those are medicines that are

00:17:38.140 --> 00:17:40.519
used to treat depression and anxiety. Like, how

00:17:40.519 --> 00:17:42.420
is that going to help my gut? I mean, I think

00:17:42.420 --> 00:17:44.460
that's just like a perfect example in medicine

00:17:44.460 --> 00:17:46.599
of where there truly is that connection. But,

00:17:46.779 --> 00:17:48.359
you know, I mean, personal story for me, I mean,

00:17:48.420 --> 00:17:50.720
when I, I've had periods of my life where I've

00:17:50.720 --> 00:17:52.839
had some pretty significant orthopedic injuries,

00:17:52.839 --> 00:17:55.569
you know, from, from athletics. happened first

00:17:55.569 --> 00:17:58.069
in college. I broke my foot and had to have a

00:17:58.069 --> 00:18:00.809
screw put in there. That put me out a year. I

00:18:00.809 --> 00:18:03.269
was definitely depressed during that year. I

00:18:03.269 --> 00:18:06.269
mean, I clearly had some depression, but it was

00:18:06.269 --> 00:18:09.049
clearly related to, you know, a physical ailment.

00:18:09.150 --> 00:18:11.410
It happened to me again, you know, later in my

00:18:11.410 --> 00:18:14.849
adult year, you know, probably my 30s. I tore

00:18:14.849 --> 00:18:17.269
my patellar tendon and, you know, that really

00:18:17.269 --> 00:18:19.549
put me down and like even got me to the point

00:18:19.549 --> 00:18:21.170
where I was like, man, I can't play basketball

00:18:21.170 --> 00:18:24.250
anymore. And So there's been like these waves

00:18:24.250 --> 00:18:27.049
of things that have come and I think those two

00:18:27.049 --> 00:18:29.410
things really are connected and I'll flip it

00:18:29.410 --> 00:18:31.650
a little bit to like, I hate it in healthcare

00:18:31.650 --> 00:18:33.970
where things are compartmentalized too, right?

00:18:34.049 --> 00:18:36.430
I mean, we need specialties and specialists for

00:18:36.430 --> 00:18:39.369
different expertise, but like, I absolutely hate

00:18:39.369 --> 00:18:41.990
it when a specialist would be like, oh no, we

00:18:41.990 --> 00:18:44.569
can't talk about that because that's not my specialty.

00:18:44.849 --> 00:18:47.529
I think that's BS. Like every specialty has an

00:18:47.529 --> 00:18:49.549
overlap with something else, right? It's the

00:18:49.549 --> 00:18:52.559
human body. And then the terms we use in healthcare

00:18:52.559 --> 00:18:54.880
are also compartmentalized. Like, why do we call

00:18:54.880 --> 00:18:58.000
it telehealth or digital health or in -person

00:18:58.000 --> 00:19:00.740
health? Like, it's really all the same. I mean,

00:19:00.779 --> 00:19:03.920
the goal of it all is exactly the same. So, I

00:19:03.920 --> 00:19:06.460
don't know. I think it's just humans. We like

00:19:06.460 --> 00:19:09.140
to compartmentalize things and put things into

00:19:09.140 --> 00:19:11.819
a bucket. You know, I think the whole system

00:19:11.819 --> 00:19:14.980
has been set up that way, you know, from history

00:19:14.980 --> 00:19:17.440
until now. But I think there's a little bit of

00:19:17.440 --> 00:19:19.299
a shift. So much of the foundation is still.

00:19:19.589 --> 00:19:23.150
rock solid in that area. We know what we need

00:19:23.150 --> 00:19:25.569
for longevity and for athletic performance to

00:19:25.569 --> 00:19:27.569
an extent. We know we need to sleep seven to

00:19:27.569 --> 00:19:30.630
nine hours. We need to reduce our stress levels.

00:19:30.690 --> 00:19:32.509
We need to let go of thoughts that are harmful.

00:19:33.049 --> 00:19:37.250
We need to eat better foods. Ideally, a more

00:19:37.250 --> 00:19:39.130
plant -based diet. We need to lift weights. We

00:19:39.130 --> 00:19:42.089
need to do cardio. None of these things require

00:19:42.089 --> 00:19:46.029
any technology. Yet, it's technology and AI that's

00:19:46.029 --> 00:19:49.470
unlocking the longevity space. It's tests we

00:19:49.470 --> 00:19:52.470
don't need, it's more biomarkers we don't need

00:19:52.470 --> 00:19:57.309
to an extent. There is some role for imaging,

00:19:57.970 --> 00:20:00.269
for market detection of preventive health in

00:20:00.269 --> 00:20:02.470
general. I'm not saying preventive health shouldn't

00:20:02.470 --> 00:20:05.690
exist. But do I really need a biomarker for sleep

00:20:05.690 --> 00:20:11.730
or for lifting weights? Do you think we're at

00:20:11.730 --> 00:20:15.440
a point where... We are testing too much and

00:20:15.440 --> 00:20:18.440
not optimizing for what's needed. Or do you think

00:20:18.440 --> 00:20:21.200
given the way our human brains are designed for

00:20:21.200 --> 00:20:23.839
convenience and reward and scarcity and, you

00:20:23.839 --> 00:20:26.180
know, the principles of marketing, we need to

00:20:26.180 --> 00:20:28.640
do it this way? Yeah. I mean, I don't think it's

00:20:28.640 --> 00:20:31.599
like an either or. Um, it's one of those things

00:20:31.599 --> 00:20:33.440
that, you know, kind of like you just said, I

00:20:33.440 --> 00:20:36.119
can be on, I can be on both sides of the fence,

00:20:36.200 --> 00:20:39.180
you know, like, you know, I mean, I think, and,

00:20:39.180 --> 00:20:41.279
and I think there's a, there's a tug and a pull

00:20:41.279 --> 00:20:44.799
between traditional quality based health care

00:20:44.799 --> 00:20:48.279
and what consumers actually want and need to.

00:20:48.759 --> 00:20:50.960
So I think there has to be a balance between

00:20:50.960 --> 00:20:54.700
these things, you know, and that's, um, you know,

00:20:54.759 --> 00:20:57.579
so like I've had plenty of conversations with,

00:20:57.579 --> 00:20:59.900
you know, my neighbors who know I'm a physician

00:20:59.900 --> 00:21:01.779
and they'll just be like, you know, why wouldn't

00:21:01.779 --> 00:21:03.500
I go into the doctor? Like, why won't they just

00:21:03.500 --> 00:21:05.140
let me, why won't they just order everything?

00:21:05.400 --> 00:21:07.160
you know, to make sure everything's not right,

00:21:07.180 --> 00:21:10.660
wrong, right? Or, you know, we have several companies

00:21:10.660 --> 00:21:12.700
that are doing kind of whole body imaging, you

00:21:12.700 --> 00:21:14.640
know, to try and look and see if there's potentially

00:21:14.640 --> 00:21:17.680
anything. And, you know, on one hand, I totally

00:21:17.680 --> 00:21:19.599
understand that, like, right? I mean, you want

00:21:19.599 --> 00:21:22.279
to know, like, it's like this element of unknown.

00:21:22.740 --> 00:21:25.680
But I think, like, you know, if you go into the

00:21:25.680 --> 00:21:27.759
actual, like, statistical probability of these

00:21:27.759 --> 00:21:30.559
tests being positive, and you get into all the

00:21:30.559 --> 00:21:33.359
details of that, like, you quickly realize that

00:21:33.640 --> 00:21:37.079
it's not really good to just blankly do all of

00:21:37.079 --> 00:21:39.720
those. I think what we have to do is we have

00:21:39.720 --> 00:21:44.779
to find a way that these tests can actually be

00:21:44.779 --> 00:21:47.920
much more sensitive and much more specific, which

00:21:47.920 --> 00:21:49.980
is obviously the holy grail of any test, right?

00:21:50.299 --> 00:21:52.779
You have those both at 100%. You're like pretty

00:21:52.779 --> 00:21:54.720
much money. You can use it as a screening test

00:21:54.720 --> 00:21:59.299
and confirmatory test. And I think that's like

00:21:59.299 --> 00:22:02.339
where we just have to really push with these,

00:22:02.500 --> 00:22:05.539
you know, so -called biomarker tests, which I

00:22:05.539 --> 00:22:07.880
hate that term because really all of it, it's

00:22:07.880 --> 00:22:09.599
the same things we always have. They've just

00:22:09.599 --> 00:22:12.900
tagged on a catchy name. But, and then I think

00:22:12.900 --> 00:22:15.259
the other thing, obviously everyone wants to

00:22:15.259 --> 00:22:17.559
live a fruitful life and everyone wants to live

00:22:17.559 --> 00:22:19.119
a long life, right? I mean, unless something

00:22:19.119 --> 00:22:20.779
horrible happens to you that you're miserable.

00:22:21.240 --> 00:22:23.799
I think this whole rush for kind of longevity,

00:22:24.819 --> 00:22:27.220
I wish it wasn't called longevity because that

00:22:27.220 --> 00:22:29.859
infers that people just want to live longer.

00:22:30.119 --> 00:22:32.740
And I really think like, What people really want

00:22:32.740 --> 00:22:35.640
is they want to live the way they are right now

00:22:35.640 --> 00:22:38.380
as a younger person for a longer time. You know,

00:22:38.380 --> 00:22:40.680
and there's all sorts of obviously terms and

00:22:40.680 --> 00:22:42.140
things that are used for that. But I think it's

00:22:42.140 --> 00:22:45.420
like, if all of this is truly just allowing people

00:22:45.420 --> 00:22:47.660
to live a longer, fruitful life and be able to

00:22:47.660 --> 00:22:49.799
do the things that they want to do for the longest

00:22:49.799 --> 00:22:52.299
period of time, then I think that's good. But

00:22:52.299 --> 00:22:54.200
I think this whole like, I don't know, the whole

00:22:54.200 --> 00:22:56.859
industry around hacking different things and

00:22:56.859 --> 00:22:58.900
trying to find certain things that are going

00:22:58.900 --> 00:23:02.829
to degrade aging and uh, be able to prolong different

00:23:02.829 --> 00:23:05.269
cell life. I don't know. I just think that's

00:23:05.269 --> 00:23:07.569
we're like splitting hairs at that point. Cause

00:23:07.569 --> 00:23:10.589
like where you led with all those core tenants

00:23:10.589 --> 00:23:13.410
are really the things that if you do those, you're

00:23:13.410 --> 00:23:15.609
pretty much going to live a good healthy life.

00:23:16.029 --> 00:23:18.269
And I always tell patients, especially my older

00:23:18.269 --> 00:23:20.609
patients, you know, or that are patients that

00:23:20.609 --> 00:23:24.329
are approaching an older age. Like it's even

00:23:24.329 --> 00:23:26.210
just more important that you do those basics

00:23:26.210 --> 00:23:28.569
when you get older, right? Like you've got to

00:23:28.569 --> 00:23:31.109
preserve that strength. I mean, cause If you

00:23:31.109 --> 00:23:33.089
fall down or you slip and you're on the ground

00:23:33.089 --> 00:23:35.930
and you can't get yourself up, I mean, that's

00:23:35.930 --> 00:23:38.269
a problem, right? Like a little kid, I mean,

00:23:38.349 --> 00:23:39.930
they fall all the time, hit their face, they

00:23:39.930 --> 00:23:42.869
bounce right back up. But just getting on and

00:23:42.869 --> 00:23:45.390
off the toilet or slipping in the shower and

00:23:45.390 --> 00:23:47.769
not being able to get yourself back up, I mean,

00:23:48.130 --> 00:23:49.710
those are the things that can really do people

00:23:49.710 --> 00:23:52.549
in. I don't know, that was like a serendipitous

00:23:52.549 --> 00:23:54.829
answer to your original question, but I think

00:23:54.829 --> 00:23:56.329
all this stuff that's happening right now is

00:23:56.329 --> 00:23:58.849
very well intended, but I think a lot of people

00:23:58.849 --> 00:24:01.789
are jumping on the bandwagon of this term, longevity,

00:24:02.430 --> 00:24:04.769
to like promote stuff that we've kind of like

00:24:04.769 --> 00:24:07.390
already known or can already do. I haven't really

00:24:07.390 --> 00:24:10.650
seen a ton of net -net new things, but I think

00:24:10.650 --> 00:24:14.569
some of those are probably on the fringe of really

00:24:14.569 --> 00:24:17.130
coming together. Yeah, I think going a little

00:24:17.130 --> 00:24:18.869
bit deeper, you know, I had a patient who wanted

00:24:18.869 --> 00:24:22.089
a screening x -ray for no reason and ended up

00:24:22.089 --> 00:24:24.369
with a lung resection. But you know, these cases

00:24:24.369 --> 00:24:28.009
are rare. I can almost guarantee if we give you

00:24:28.009 --> 00:24:30.809
every single test we know, it will result in

00:24:30.809 --> 00:24:34.049
some invasive treatment for no reason. And the

00:24:34.049 --> 00:24:37.029
gap between what we know in medicine and medical

00:24:37.029 --> 00:24:40.369
knowledge and the appetite for knowing and optimizing

00:24:40.369 --> 00:24:44.829
our health is very wide. We know so little. about

00:24:44.829 --> 00:24:47.970
what to do with the test we order and even though

00:24:47.970 --> 00:24:50.890
the normal ranges are based on specific populations

00:24:50.890 --> 00:24:53.549
that maybe don't apply to other populations and

00:24:53.549 --> 00:24:56.769
they're based on gender and age and race and

00:24:56.769 --> 00:25:00.329
medical conditions. So I think there we are the

00:25:00.329 --> 00:25:03.210
guinea pig generation and I think collecting

00:25:03.210 --> 00:25:05.609
more data is good. We don't know what to do with

00:25:05.609 --> 00:25:07.750
it and I think patients should know that before

00:25:07.750 --> 00:25:10.509
signing up for these things. This is an amazing

00:25:10.509 --> 00:25:13.539
business opportunity. You feed people more uncertainty

00:25:13.539 --> 00:25:15.859
every time you order more tests because we don't

00:25:15.859 --> 00:25:18.240
know what to do with them. The reality is as

00:25:18.240 --> 00:25:21.200
a medical field, as the best physician in the

00:25:21.200 --> 00:25:24.440
world, you know, whatever the top doctors from

00:25:24.440 --> 00:25:26.240
wherever you think are the top doctors from,

00:25:26.420 --> 00:25:28.700
they don't, we just don't know. Like, I don't

00:25:28.700 --> 00:25:30.900
know if your sodium is 134, what does that mean?

00:25:31.480 --> 00:25:33.500
I know if it's under 130 that, you know, maybe

00:25:33.500 --> 00:25:35.519
we should optimize it a little bit because it

00:25:35.519 --> 00:25:38.119
can lead to bone demilitarization. And if you

00:25:38.119 --> 00:25:40.559
have a hyper, if your sodium is too high, Sure,

00:25:40.559 --> 00:25:44.420
I should look for maybe something called diabetes

00:25:44.420 --> 00:25:49.079
insipidus. But we don't know, there's no optimal

00:25:49.079 --> 00:25:52.460
sodium, right? Like a 137 versus 136, there's

00:25:52.460 --> 00:25:54.500
no difference. And I don't know if that's an

00:25:54.500 --> 00:25:56.900
answer people just aren't willing to accept.

00:25:57.299 --> 00:25:58.819
Or is it like, no, you know something, you're

00:25:58.819 --> 00:26:00.440
not telling me. Whereas I'm like, why would I

00:26:00.440 --> 00:26:02.960
hide it? Why do you think that? Do you think

00:26:02.960 --> 00:26:06.619
patients just don't know that we don't know?

00:26:06.759 --> 00:26:09.819
How do you kind of deal with the question? Well,

00:26:09.819 --> 00:26:12.359
why wouldn't you order every single test? Like,

00:26:12.400 --> 00:26:14.839
I want to know my complement pathway, right?

00:26:15.079 --> 00:26:18.900
I want to know everything, right? Like, all the

00:26:18.900 --> 00:26:20.940
genetic tests, you know, and all the tumor markers

00:26:20.940 --> 00:26:24.180
every single visit. Because if I get cancer now,

00:26:24.180 --> 00:26:27.960
I want to know now. I want to follow CA -99 hourly.

00:26:28.279 --> 00:26:30.160
And so the audience is not medical, the tests

00:26:30.160 --> 00:26:33.279
I'm measuring, mentioning CA -99 is a tumor marker

00:26:33.279 --> 00:26:35.180
for pancreatic cancer that we use in ovarian

00:26:35.180 --> 00:26:38.190
cancer. we use to monitor cancer, but not to

00:26:38.190 --> 00:26:40.170
detect it, because that's not what the test is

00:26:40.170 --> 00:26:41.869
designed for. And we just don't know what to

00:26:41.869 --> 00:26:44.730
do if it's a little bit high, because a pancreatic

00:26:44.730 --> 00:26:47.230
is not an easy procedure. But anyways, like,

00:26:47.410 --> 00:26:50.710
what is your kind of answer there? Yeah, I mean,

00:26:50.730 --> 00:26:53.250
my approach to it is generally like, just this

00:26:53.250 --> 00:26:55.970
true like shared decision making approach where

00:26:55.970 --> 00:26:59.049
I'll try and break it down to the patient of

00:26:59.049 --> 00:27:01.269
like, you know, this test or these tests are

00:27:01.269 --> 00:27:03.589
for X, Y and Z, but I usually will get a pulse

00:27:03.589 --> 00:27:06.259
of like, how much this person wants to dive in.

00:27:06.579 --> 00:27:08.859
Cause I can go into a whole deep dive of what

00:27:08.859 --> 00:27:11.339
sensitivity and specificity are. And I think

00:27:11.339 --> 00:27:12.980
people, most people understand what that is on

00:27:12.980 --> 00:27:15.319
the surface, but you know, when you specifically

00:27:15.319 --> 00:27:18.440
dive it in, dive into testing, I think that's

00:27:18.440 --> 00:27:20.720
when people really can kind of realize it. And

00:27:20.720 --> 00:27:22.859
then, you know, I'll flip and I'll start talking

00:27:22.859 --> 00:27:24.799
about positive predictive value and negative

00:27:24.799 --> 00:27:26.799
predictive value and like these types of things.

00:27:27.059 --> 00:27:29.859
And, and that all tests like vary and some of

00:27:29.859 --> 00:27:32.039
them, you know, like say, like those tumor markers

00:27:32.039 --> 00:27:33.579
that you're mentioning. I mean, those things

00:27:33.579 --> 00:27:36.359
can be really kind of horrible at some of those,

00:27:36.700 --> 00:27:39.000
but then also can be really good for some use

00:27:39.000 --> 00:27:42.160
cases. And so I think a lot of people think labs

00:27:42.160 --> 00:27:45.519
are very like black and white. And, you know,

00:27:45.519 --> 00:27:47.539
I think you asked the question specifically,

00:27:47.900 --> 00:27:50.480
why do patients have like maybe that skepticism

00:27:50.480 --> 00:27:54.339
around physicians and kind of the interpretation

00:27:54.339 --> 00:27:57.299
of these things? When in reality, a lot of these

00:27:57.299 --> 00:27:59.000
things, we don't know what they mean, right?

00:27:59.000 --> 00:28:02.000
I mean, it's And I honestly just think that as

00:28:02.000 --> 00:28:03.819
physicians, we probably don't say that enough.

00:28:04.259 --> 00:28:06.460
I think patients expect us to just know everything,

00:28:06.680 --> 00:28:08.839
but like, you know, I think family docs, you

00:28:08.839 --> 00:28:10.819
know, biously probably do this a little bit better,

00:28:11.480 --> 00:28:13.539
but I think we're well, we're generally better

00:28:13.539 --> 00:28:15.759
at like saying, yeah, I really don't know what's

00:28:15.759 --> 00:28:17.940
going on with you. I agree. Your symptoms, you

00:28:17.940 --> 00:28:21.140
know, are disturbing and we've checked X, Y,

00:28:21.140 --> 00:28:23.720
and Z and they've all been okay. But I think

00:28:23.720 --> 00:28:26.589
where this gets into trouble is when there are

00:28:26.589 --> 00:28:29.089
some practitioners out there that will start

00:28:29.089 --> 00:28:32.670
to say, oh, there's this optimized level of this

00:28:32.670 --> 00:28:34.650
and that. And, you know, I've encountered this

00:28:34.650 --> 00:28:36.650
as a doctor, patients will bring me these reports

00:28:36.650 --> 00:28:39.470
and, you know, it's like a standard Quest lab,

00:28:39.569 --> 00:28:42.029
but like it has this custom kind of interpretation

00:28:42.029 --> 00:28:44.990
of it. And, you know, patients are like, oh,

00:28:45.049 --> 00:28:46.849
they're telling me I'm not optimizing this and

00:28:46.849 --> 00:28:48.990
that. And I'm like, well, I don't know what to

00:28:48.990 --> 00:28:52.089
do about that. You know, like drink more water.

00:28:52.150 --> 00:28:54.799
Like if you're, you know, creatinine isn't dead

00:28:54.799 --> 00:28:57.319
in the center of, you know, the creatinine range

00:28:57.319 --> 00:28:59.839
or less water. I don't know. It's like, yeah,

00:28:59.839 --> 00:29:02.420
it's challenging. The problem is we have all

00:29:02.420 --> 00:29:05.619
this access to all these different tests and

00:29:05.619 --> 00:29:08.000
the imaging is only getting better and better.

00:29:08.599 --> 00:29:10.460
And so I think we're in this weird kind of bubble

00:29:10.460 --> 00:29:13.579
right now where we have this amazing kind of

00:29:13.579 --> 00:29:15.960
technology for testing, but like what you kept

00:29:15.960 --> 00:29:18.279
saying, we don't have a way to truly interpret

00:29:18.279 --> 00:29:20.440
it yet because we don't have like the data for

00:29:20.440 --> 00:29:22.920
it. You know, like I'll take whole body MRI.

00:29:23.470 --> 00:29:26.049
as an example, I'm like pretty bullish that that's

00:29:26.049 --> 00:29:28.230
going to be something in the future, like that's

00:29:28.230 --> 00:29:30.130
going to be pretty transforming to healthcare.

00:29:31.250 --> 00:29:34.170
I think right now most physicians are super skeptical

00:29:34.170 --> 00:29:36.589
of it because of the way we were trained and

00:29:36.589 --> 00:29:38.609
the way things are, right? I mean, cause you

00:29:38.609 --> 00:29:40.569
don't want to just find all these incidental

00:29:40.569 --> 00:29:42.750
things that you're chasing down and people are

00:29:42.750 --> 00:29:44.750
having biopsies of and all this follow up, you

00:29:44.750 --> 00:29:46.950
know, like that's especially if it turns out

00:29:46.950 --> 00:29:48.470
to be nothing. Now you just put someone through

00:29:48.470 --> 00:29:52.029
a bunch of risk, but I think if the imaging in

00:29:52.029 --> 00:29:55.049
these tests can continue to get better and better,

00:29:55.470 --> 00:29:57.750
and the technology that interprets them, including

00:29:57.750 --> 00:30:01.190
the physicians, gets better and better, we will

00:30:01.190 --> 00:30:04.150
reach this point where it's a really, like I

00:30:04.150 --> 00:30:06.869
said originally, where it's extremely sensitive,

00:30:07.190 --> 00:30:10.730
but it's also very specific, and being able to

00:30:10.730 --> 00:30:14.549
characterize specific findings and not just be

00:30:14.549 --> 00:30:17.880
that kind of... typical radiology read that like

00:30:17.880 --> 00:30:20.779
hedges on something like looks sort of concerning

00:30:20.779 --> 00:30:23.900
but not definitive. I think we need to get to

00:30:23.900 --> 00:30:27.259
a place where we can definitively characterize

00:30:27.259 --> 00:30:29.400
things better because I think that will ultimately

00:30:29.400 --> 00:30:32.779
lead to better outcomes and better prevention.

00:30:32.980 --> 00:30:35.059
Pulling on the whole body MRI thread and I do

00:30:35.059 --> 00:30:37.319
recommend it to some select patients who I think

00:30:37.319 --> 00:30:40.200
are a good candidate with family history of cancer

00:30:40.200 --> 00:30:43.059
or patients I know will be comfortable handling

00:30:43.059 --> 00:30:46.920
incidentalomas. From talking to a radiologist

00:30:46.920 --> 00:30:50.400
and an oncologist friend, what they kind of,

00:30:50.500 --> 00:30:53.380
their frame of reference is a whole body MRI

00:30:53.380 --> 00:30:55.539
will never diagnose cancer because we cannot

00:30:55.539 --> 00:30:58.839
see the pathology slides, right? Like we cannot

00:30:58.839 --> 00:31:01.579
see in a system, it's magnetic waves, right?

00:31:02.160 --> 00:31:06.279
Like we cannot see inside the detail because

00:31:06.279 --> 00:31:09.640
the technology is limited. The MRI technology

00:31:09.640 --> 00:31:11.990
itself, the way it works is limited. So you cannot

00:31:11.990 --> 00:31:14.630
see through a wall, no matter what the resolution,

00:31:14.869 --> 00:31:16.869
no matter how many pictures you take. You're

00:31:16.869 --> 00:31:19.029
never going to be able to see through a wall

00:31:19.029 --> 00:31:21.549
because you're using light and light does not

00:31:21.549 --> 00:31:25.269
travel through walls. That's kind of their analogy

00:31:25.269 --> 00:31:28.269
is MRI will never diagnose cancer. The only way

00:31:28.269 --> 00:31:31.230
to train a model is to take a biopsy of every

00:31:31.230 --> 00:31:33.269
single incidentaloma to then train a model to

00:31:33.269 --> 00:31:35.250
have enough data to say this is cancer, this

00:31:35.250 --> 00:31:37.890
isn't cancer. What are your thoughts there? Do

00:31:37.890 --> 00:31:41.009
you think we're... Doing cancer screening a disservice

00:31:41.009 --> 00:31:44.309
by leaning so heavily into MRI and because they

00:31:44.309 --> 00:31:47.210
have this mythical Connotation somehow that's

00:31:47.210 --> 00:31:49.470
developed that it shows all when you know, it's

00:31:49.470 --> 00:31:52.369
still a picture You don't see the actual tissue

00:31:52.369 --> 00:31:55.730
or the actual cells and cancer is for those that's

00:31:55.730 --> 00:32:00.329
in cancer is very fast dividing cells and we

00:32:00.329 --> 00:32:03.569
see them under a microscope on pathology slides

00:32:03.569 --> 00:32:09.140
we can see cells in an MRI no matter how much

00:32:09.140 --> 00:32:11.740
you want to, I don't know, whatever you want

00:32:11.740 --> 00:32:13.420
to do with MRI, just like we can't see through

00:32:13.420 --> 00:32:15.359
the wall, no matter what you want to do with

00:32:15.359 --> 00:32:17.799
the light, or you can't see inside a ball with

00:32:17.799 --> 00:32:20.740
light. Yeah. So like, what are your thoughts

00:32:20.740 --> 00:32:24.579
there? Like, should we be building a technology

00:32:24.579 --> 00:32:29.000
that allows us to see at a cellular level based

00:32:29.000 --> 00:32:32.259
on a non -invasive test? I think that's what

00:32:32.259 --> 00:32:33.980
we should be building, not wasting our time with

00:32:33.980 --> 00:32:37.990
MRIs. Like they have such a big commercial Tailwind

00:32:37.990 --> 00:32:40.089
that it's it's all it's easy enough to say well

00:32:40.089 --> 00:32:41.650
the outer hole better MRIs a lot of people get

00:32:41.650 --> 00:32:43.829
they will make a lot of money kind of thing Yeah,

00:32:44.230 --> 00:32:45.710
no, it's good question. I think we're gonna have

00:32:45.710 --> 00:32:47.690
to wait and see how the technology evolves I

00:32:47.690 --> 00:32:50.089
mean, I think I think in the MRI realm I think

00:32:50.089 --> 00:32:52.910
just what's improved significantly in the last

00:32:52.910 --> 00:32:57.630
few years is there the Obviously the quality

00:32:57.630 --> 00:33:00.430
of the machines continues to improve but I think

00:33:00.430 --> 00:33:02.970
the other piece that's really changed and improved

00:33:02.970 --> 00:33:06.799
is the quality and the configuration around the

00:33:06.799 --> 00:33:10.619
protocols of like how the image is rendered,

00:33:10.619 --> 00:33:14.380
you know, like on the actual screen. And so I

00:33:14.380 --> 00:33:16.519
mean, are we going to reach a point where like

00:33:16.519 --> 00:33:19.160
you can no longer improve what the image looks

00:33:19.160 --> 00:33:20.660
like and you got to look for some sort of new

00:33:20.660 --> 00:33:22.819
technology? Like you just mentioned, could there

00:33:22.819 --> 00:33:24.880
be some other sort of thing that could actually

00:33:24.880 --> 00:33:28.059
get to the level of like a pathology kind of

00:33:28.059 --> 00:33:31.160
evaluation through, yeah, some sort of light

00:33:31.160 --> 00:33:34.759
or image or something, you know, I mean, I think

00:33:34.759 --> 00:33:36.819
there's definitely a possibility that that could

00:33:36.819 --> 00:33:39.240
come about. Not aware of anything in the R &D

00:33:39.240 --> 00:33:41.180
area around that now, but I'm sure people are

00:33:41.180 --> 00:33:44.400
trying to look for those. I just think, you know,

00:33:44.740 --> 00:33:47.380
with what we have today, I think what will be

00:33:47.380 --> 00:33:51.480
interesting to show over time is if doing any

00:33:51.480 --> 00:33:54.819
of this stuff actually changes some sort of outcome.

00:33:55.119 --> 00:33:57.480
You know, I think that's going to be the most

00:33:57.480 --> 00:34:01.119
telling thing. Will there actually be positive

00:34:01.119 --> 00:34:04.529
outcome data from these types of things? And

00:34:04.529 --> 00:34:06.410
I think that's still to be told. And I think,

00:34:06.410 --> 00:34:08.849
you know, the emerging companies that are doing

00:34:08.849 --> 00:34:11.389
this, or that at least started doing this, I

00:34:11.389 --> 00:34:13.170
think that's why they're collecting this data.

00:34:13.389 --> 00:34:15.730
I think they're hoping to be able to show that

00:34:15.730 --> 00:34:18.670
sort of thing. Because yeah, as of right now,

00:34:18.750 --> 00:34:21.349
none of that stuff is, none of this can be covered

00:34:21.349 --> 00:34:25.070
by insurance yet until there's some sort of real

00:34:25.070 --> 00:34:27.170
substantial proof, you know, that it's going

00:34:27.170 --> 00:34:30.150
to change the outcome. I think we'll probably

00:34:30.150 --> 00:34:32.288
get there at some point. I just don't know what...

00:34:32.280 --> 00:34:34.300
timeframe that's going to be. And so for right

00:34:34.300 --> 00:34:36.280
now, I think these types of things are going

00:34:36.280 --> 00:34:39.119
to live in the kind of the cash -based business,

00:34:39.199 --> 00:34:42.059
you know, or companies will offer it as a perk,

00:34:42.059 --> 00:34:45.179
you know, as being a part of the company to get

00:34:45.179 --> 00:34:49.500
these not current evidence -based, you know,

00:34:49.840 --> 00:34:53.000
testing and exams done. I think time will show

00:34:53.000 --> 00:34:56.739
eventually it'll show either yes or no. And that

00:34:56.739 --> 00:34:59.420
could be kind of either the bloom or the doom

00:34:59.420 --> 00:35:02.000
for, you know, these types of things. I love

00:35:02.000 --> 00:35:03.980
the framing of focusing on the outcome. It's

00:35:03.980 --> 00:35:06.480
easy to get lost in the technology and the details,

00:35:06.900 --> 00:35:09.639
but what matters is outcomes. Yeah, so time will

00:35:09.639 --> 00:35:12.840
tell. What do you think went wrong or went right

00:35:12.840 --> 00:35:15.099
with the Brian Johnson experiment where he kind

00:35:15.099 --> 00:35:16.840
of launched this, grew it, and then it seems

00:35:16.840 --> 00:35:19.119
like he said maybe I've had enough or it's not

00:35:19.119 --> 00:35:21.239
working? Do you think that's kind of a case study

00:35:21.239 --> 00:35:23.980
and, you know, just sleep better, exercise more,

00:35:24.179 --> 00:35:26.099
lift weights so you're struggling a bit, doesn't

00:35:26.099 --> 00:35:28.139
matter how many reps you're doing or how much

00:35:28.139 --> 00:35:29.719
weight you're lifting as long as you're pushing

00:35:29.719 --> 00:35:32.329
yourself? that's what you want. And then tracking

00:35:32.329 --> 00:35:35.750
these things isn't the path to optimization,

00:35:36.030 --> 00:35:38.650
pushing yourself, sleeping better, being less,

00:35:38.690 --> 00:35:40.869
because you know when you're less stressed. I

00:35:40.869 --> 00:35:42.969
don't need anything to tell me if I'm not stressed.

00:35:43.110 --> 00:35:44.829
What are your thoughts on the Brian Johnson phenomena

00:35:44.829 --> 00:35:48.610
and then just the tracking all these things in

00:35:48.610 --> 00:35:51.130
general? Yeah, I mean, I think the tracking piece

00:35:51.130 --> 00:35:53.050
is like, you know, it's one of those things that

00:35:53.050 --> 00:35:56.880
I think is helpful for some and it can be very

00:35:56.880 --> 00:36:00.079
kind of anxiety provoking to others. And there's

00:36:00.079 --> 00:36:02.719
like a spectrum in between, you know, I think

00:36:02.719 --> 00:36:05.239
like so recently I've probably for the last six,

00:36:05.500 --> 00:36:08.679
six or seven weeks I've been using, you know,

00:36:08.800 --> 00:36:12.840
one of the, the Stelo CGMs, you know, just to

00:36:12.840 --> 00:36:15.639
track what my sugar does. I don't have diabetes.

00:36:15.719 --> 00:36:18.360
I don't have pre -diabetes, but, you know, I

00:36:18.360 --> 00:36:21.480
think what's been pretty eye -opening to me is

00:36:21.480 --> 00:36:24.139
just it's all the stuff that you kind of know,

00:36:24.320 --> 00:36:26.769
right? Like the more sugar you eat, like the

00:36:26.769 --> 00:36:29.250
higher your, the steeper your spikes will be.

00:36:30.030 --> 00:36:32.789
And then on the flip side, you know that, I mean,

00:36:32.829 --> 00:36:35.150
I guess my background in exercise, I know what

00:36:35.150 --> 00:36:37.590
happens from a, like a biochemistry perspective

00:36:37.590 --> 00:36:40.530
for exercise with blood glucose and, and that

00:36:40.530 --> 00:36:43.250
sort of thing. But to actually see like what

00:36:43.250 --> 00:36:46.139
happens, you know, when you just When you do

00:36:46.139 --> 00:36:48.380
any sort of exercise, whether it's in the morning,

00:36:48.739 --> 00:36:52.019
the afternoon, or in the evening, and when it's

00:36:52.019 --> 00:36:57.039
around food, you can visually see the changes

00:36:57.039 --> 00:37:00.039
that that does. I think for some people, having

00:37:00.039 --> 00:37:03.019
that data is really helpful. I've had plenty

00:37:03.019 --> 00:37:04.840
of people where I think they're just trying to

00:37:04.840 --> 00:37:08.320
get so much data and you become obsessive about

00:37:08.320 --> 00:37:11.019
it. I think if you can use it in the way that

00:37:11.019 --> 00:37:14.460
it will help you to make behavioral changes,

00:37:15.449 --> 00:37:18.429
I'm all for it. But I think that has to be framed

00:37:18.429 --> 00:37:21.190
up. And I think when patients ask me, oh, hey,

00:37:21.550 --> 00:37:23.789
should I get this sleep tracker and do this and

00:37:23.789 --> 00:37:25.650
that? I usually have a conversation with them

00:37:25.650 --> 00:37:27.329
a little like, what are you hoping to get out

00:37:27.329 --> 00:37:31.090
of it? And how do you plan to use the information

00:37:31.090 --> 00:37:35.469
to help yourself? And as long as they have a

00:37:35.469 --> 00:37:37.849
good thought process around what they're going

00:37:37.849 --> 00:37:41.900
to do, I'm usually supportive of it. If I can

00:37:41.900 --> 00:37:43.900
tell they're like a super anxious type and that

00:37:43.900 --> 00:37:45.440
they're just, this is probably just going to

00:37:45.440 --> 00:37:48.039
make them super, super nervous all the time.

00:37:48.659 --> 00:37:50.079
You know, I'll probably be trying, I'll try and

00:37:50.079 --> 00:37:53.280
steer them away from it if possible. But so yeah,

00:37:53.280 --> 00:37:55.260
I think it's like kind of like, I think it has

00:37:55.260 --> 00:37:57.840
to be adaptable to the type of person that they

00:37:57.840 --> 00:38:00.420
are, you know, if or when this is going to be

00:38:00.420 --> 00:38:03.780
helpful or not. Earlier, you said that you are

00:38:03.780 --> 00:38:08.000
excited about technology in healthcare and optimizing

00:38:08.000 --> 00:38:10.739
systems. If you could magically optimize our

00:38:10.639 --> 00:38:13.559
In one system and healthcare, what would it be?

00:38:14.239 --> 00:38:15.380
So, I mean, the thing that's been on my mind

00:38:15.380 --> 00:38:18.340
for a very long time is, you know, there's a

00:38:18.340 --> 00:38:19.820
lot of, I think if you ask that question to a

00:38:19.820 --> 00:38:22.280
lot of people, they'll say like Pyrros or the

00:38:22.280 --> 00:38:23.780
in basket or whatever. I mean, because I think

00:38:23.780 --> 00:38:25.739
a clinician that's like what we're so, and I

00:38:25.739 --> 00:38:27.760
agree technology can fix all of those things

00:38:27.760 --> 00:38:30.480
pretty well, but I would zoom out even further.

00:38:31.000 --> 00:38:34.460
And what I really want is like, I want patients

00:38:34.460 --> 00:38:39.239
to have the ability to really kind of. um, accurately

00:38:39.239 --> 00:38:43.239
kind of noodle on their concerns and really allow

00:38:43.239 --> 00:38:48.780
them to like frame it up. So the time spent face

00:38:48.780 --> 00:38:51.280
to face or whatever it is with, with the actual

00:38:51.280 --> 00:38:54.619
kind of physician or clinician is like extremely

00:38:54.619 --> 00:38:57.659
efficient. And so I guess the way I would like

00:38:57.659 --> 00:39:01.179
break it down is I think we need still need better

00:39:01.179 --> 00:39:04.719
ways kind of pre -encounter how for patients

00:39:04.719 --> 00:39:07.449
to really formulate. what their concern is and

00:39:07.449 --> 00:39:10.349
what's going on. Like we have pretty good stuff

00:39:10.349 --> 00:39:12.670
right now to be able to help within the encounter

00:39:12.670 --> 00:39:16.170
and like synthesizing and capturing. We need

00:39:16.170 --> 00:39:18.250
even better tools downstream, you know, like

00:39:18.250 --> 00:39:21.610
the post and across like between visits. I think

00:39:21.610 --> 00:39:24.449
right now, like patients have real, real concerns

00:39:24.449 --> 00:39:27.530
about themselves or their health. And what we've

00:39:27.530 --> 00:39:29.750
done is we've made it so they only get to spend

00:39:29.750 --> 00:39:33.489
10 minutes with the actual like expert for this

00:39:33.489 --> 00:39:35.789
like one for this problem. And I just think that

00:39:35.789 --> 00:39:38.250
is like, it's not right. I mean, it's like, they

00:39:38.250 --> 00:39:39.989
don't remember anything that's said during those

00:39:39.989 --> 00:39:42.829
10 minutes. It's like, I don't know that that

00:39:42.829 --> 00:39:44.530
was a kind of a long winded way to your question,

00:39:44.550 --> 00:39:47.909
but I really do think we just need to, we need

00:39:47.909 --> 00:39:52.130
to optimize that the whole process of From concern

00:39:52.130 --> 00:39:54.929
to the patient feeling like they're getting some

00:39:54.929 --> 00:39:58.349
sort of resolution or next steps. I think that

00:39:58.349 --> 00:40:01.409
is still fundamentally like the same as it was

00:40:01.409 --> 00:40:04.409
when I was a child. It hasn't changed. So I want

00:40:04.409 --> 00:40:07.269
technology to be able to fix that stuff. As clinicians,

00:40:07.670 --> 00:40:10.349
we often kind of forget the patient perspective

00:40:10.349 --> 00:40:14.769
of things. We're so entangled in our inbox and

00:40:14.769 --> 00:40:17.769
prior, as you said, that it's difficult to kind

00:40:17.769 --> 00:40:20.250
of see their experience. And we just want to

00:40:20.250 --> 00:40:22.690
kind of get to the bottom of the medical query

00:40:22.690 --> 00:40:25.389
and solve it. Yeah. Yeah. So I can definitely

00:40:25.389 --> 00:40:29.730
see, I'm not sure the business model or the business

00:40:29.730 --> 00:40:31.989
case there, but I think there's this fairly a

00:40:31.989 --> 00:40:34.670
need there. Last question, Adam, if you could

00:40:34.670 --> 00:40:36.969
go back 10 years in time and talk to yourself,

00:40:37.170 --> 00:40:39.329
what would you tell him? Well, I think like just

00:40:39.329 --> 00:40:41.650
what I went through last year, you know, I finally

00:40:41.650 --> 00:40:44.269
made this kind of proverbial leap to something

00:40:44.269 --> 00:40:46.679
that I wanted to do for a long time. If I could

00:40:46.679 --> 00:40:48.440
go back 10 years, I would have probably told

00:40:48.440 --> 00:40:51.940
that person to follow that, you know, desire

00:40:51.940 --> 00:40:54.719
and instinct. I had a lot of people telling me

00:40:54.719 --> 00:40:56.400
over the years, like, you know, you should start

00:40:56.400 --> 00:40:58.400
working in the startup space or you should, I

00:40:58.400 --> 00:41:01.019
can see you doing X, Y, and Z. And I just kept

00:41:01.019 --> 00:41:03.519
going, yeah, I do too. But I never took the leap.

00:41:03.599 --> 00:41:07.699
So I would honestly just go back and tell myself

00:41:07.699 --> 00:41:11.039
to take the leap earlier. Well, congratulations

00:41:11.039 --> 00:41:14.980
on taking the leap. And I'm happy to meet a fellow

00:41:14.980 --> 00:41:16.980
physician entrepreneur and a physician in the

00:41:16.980 --> 00:41:19.579
start. No, you bet. Thank you. I appreciate it.

00:41:19.579 --> 00:41:20.639
Great conversation.
