Latest / Age Defiantly with Mark Young / Can AI Make Personalized Healthcare More Affordable? with Dr. Nasha Winters
Transcript
- 0:03I want to ask you a question because I realize you're also involved in multiple businesses.
- 0:09Yes.
- 0:09And I love that.
- 0:11And as I've gotten to know more about your business setup, you are now the face and co-founder of an organization called Terrain House.
- 0:21Yeah.
- 0:22Which is rolling.
- 0:23I know, right?
- 0:24It's exciting.
- 0:25I know.
- 0:26Which is not only dealing with training people, but now you're leaning into the AI side of people's care.
- 0:34And that's, it's a place where I spend a lot of time, right?
- 0:37Like I spend a lot of time in that space and I'm like, man, the idea that not only are you able to speak from a stage and you're able to offer training courses, which by the way, I've already decided I'm going to go take all your training courses and become one of your practitioners.
- 0:48He's drinking the Kool-Aid.
- 0:49A hundred percent, a hundred percent.
- 0:52But, but yeah.
- 0:53Additionally to that, now you're leaning into this AI.
- 0:58AI does one of two things.
- 1:00And I've said this to my team, and that is AI is going to either help you solve problems or it's going to help you fail faster.
- 1:08you know, sometimes all you do is magnify the mistakes with it.
- 1:11Because if you don't know where you're going with it, how do you know if it gave you a right answer?
- 1:16Right, right.
- 1:16And sometimes we put inputs in that are biased and it picks up our bias and feeds us answers that follow our bias.
- 1:24We gotta be careful with that.
- 1:25And we do have to be careful with it.
- 1:26So I'm curious, like, I love that when practitioners who are training on your course, it doesn't replace the training.
- 1:35In fact, it helps the practitioner get to the right answer faster.
- 1:38Yep.
- 1:39As opposed to, I know a lot of people are out there figuring that what they can do is just, you know, what's the quote I just saw today?
- 1:45Like, oh, I just saw a meme today.
- 1:48And it was something along the lines of like, somewhere your future doctor is using AI to pass medical school.
- 1:53You better start taking care of your health now.
- 1:54Exactly.
- 1:56Exactly.
- 1:56And I'm like, that's so honestly true.
- 1:58That's hilarious.
- 1:58Everybody becomes a lawyer on GPT now.
- 2:01Yeah.
- 2:01Oh God.
- 2:02You know, and then people are going to prison.
- 2:07How have you integrated this?
- 2:08Talk to me about that.
- 2:10Well, I have to say I was very resistant to the idea of it because I'm really against protocols, and I'm worried that even this AI approach will perpetuate the protocol approach to medicine, which is everyone gets the same treatment.
- 2:27And we're like, oh, autoimmunity, you all get this.
- 2:29Cancer, you all get this.
- 2:30Cardiovascular, you all get this.
- 2:31And yet what we're trying to do
- 2:34sort of deconstruct is that it's absolutely personalized, absolutely precise.
- 2:38And it is going to have to learn AI is going to have to learn each individual.
- 2:46And that's what we're training into this for it to really get to know you or you or you.
- 2:54And that's what's the exciting thing because at first I was so resistant thinking it could create more of just a zombie nation,
- 3:05like exponentially really create precise, personalized medicine.
- 3:11Because we've been giving that a lot of lip service for a long time.
- 3:14And it's just that, it's a marketing tool.
- 3:17Well, and the thing is, so one of the things that I find when I'm looking at AI driven in the medicine, because I use it all the time, I use it for myself, right?
- 3:23It's like, I've got my own bot trained to probably know my health better than anybody.
- 3:27But I put in my own labs, I put in my own blood work, I do all this, and it's like, I literally, I keep a list of all the supplements I take on a daily basis.
- 3:35And I go take my labs and I'm like, here's my labs, here's my list of supplements.
- 3:39What am I missing?
- 3:40Tell me, is there a gap, is there an overlap?
- 3:44What's going on?
- 3:44And then I review it every six months or so.
- 3:47Like, no, I need to go review this again.
- 3:48I need to review this again, like change the protocol.
- 3:51Yeah.
- 3:52But it's a protocol that's been designed specifically.
- 3:54Correct.
- 3:55That's different.
- 3:56And you get this as much as I do.
- 3:58Every single time I run into somebody who understands my background in healthcare, and they're like, what should I be taking?
- 4:03I'm like, I don't know.
- 4:05We've got to gather a lot more information.
- 4:08I don't know what you should be taking because I don't know enough about you.
- 4:11I can tell you some things that aren't going to hurt you and probably help.
- 4:16There are some things that will probably support anybody.
- 4:20But I can't tell you if you should be taking boron.
- 4:25How would I know that?
- 4:29So really, but I use it for that type of stack as well.
- 4:33And then the difference is, is that sometimes I look at it and I'm like, well, I know better than that.
- 4:37Yeah, yeah.
- 4:39That I don't agree with.
- 4:40And then I'll go in and ask, why did you say this?
- 4:44And this is the key right there of when you have a training opportunity, when you've got a training program environment, and you're training clinicians, allied health professionals, advocates, and even just the layperson, you have the opportunity to train them on evidence-informed and evidence-based approaches that may not be standard.
- 5:02Yeah.
- 5:03Yes.
- 5:03Right.
- 5:03Because a lot of those things, they call it the 17 year gap for a reason that takes an average of 17 years to get from the bench ideas to the bedside application.
- 5:12And this is the technology that says we have a lot.
- 5:15We've got enough information to say this is probably a valid thought approach, you know, assessment.
- 5:22And then we can scale that because now my clinicians have to spend six to seven hours just reviewing people's data by hand, then making sense of it, finding the patterns, then making sense of what is the best treatment to match those patterns.
- 5:39It's like doing a homeopathic intake.
- 5:41And so by the end of that, they're loving it because it's fascinating to learn these people and see these patterns pop out like a Rorschach chart or something.
- 5:49Mm-hmm.
- 5:50Once they find that, then they have to sit down with the patient for an hour and a half, two hours, explain their findings, explain that protocol that was individualized.
- 5:59And then they still have to then make sense and answer all the questions to that person.
- 6:02So you're looking at a 10 to 12 hour period.
- 6:06per patient on average.
- 6:09There's no way to pay someone enough to do that.
- 6:12And so people don't lean into this type of medicine unless they're just honestly crazy like me and just really passionate to know that we won't change anything without doing it this way.
- 6:21Well, and most of that boils down to the fact that a practitioner is not going to be compensated for 10 to 12 hours worth of work.
- 6:27That's exactly.
- 6:28So you've got to meet that reality.
- 6:29What patient is going to pay that?
- 6:30You're talking at a minimum, a $5,000 consult.
- 6:33Yeah.
- 6:34Yeah.
- 6:34And people charge that and there are people who get that, but it doesn't have to be that way.
- 6:38We're trying to create this to be accessible and scalable.
- 6:41And so that's what AI is doing.
- 6:44It is ingesting all of those data points.
- 6:46It is making sense.
- 6:48It's going through all the massive databases of literature, backing the patterns to understand and assess.
- 6:55And then it's helping make sense of clinical decision making.
- 6:58in more of a real time that suddenly it's a reasonable prep for the patient.
- 7:03Maybe your typical half hour, hour prep and then the time with the patient and then very quick and easy follow up.
- 7:09You've now condensed that to actually make it affordable and scalable.
- 7:13Yeah, no, it makes complete sense.
- 7:16And I love that.
- 7:16And like I said, I never want to take the, you know, my my mission that I'm using right now, that the catchphrase that I'm using for my own properties are
- 7:25relationship first AI fueled.
- 7:29See?
- 7:29Like we have to stay on this relationship.
- 7:32And that is, you know, even to my team, the constant thing that I keep saying is, I'm willing to automate and AI anything that we're doing.
- 7:39Find out what only the humans can do.
- 7:42Well, and here's the piece.
- 7:43Because if a doctor has to spend so much time just going through all the data, which is how it is, or doing all the paperwork or filling out all the insurance claims, there is no time to cultivate a relationship with the patient.
- 7:55Correct.
- 7:55And so the AI swooping in and doing that heavy lifting of the data aggregation and translation
- 8:04then the real magic gets to happen because that's where the medicine really is, is in the relationship.
- 8:10And so that frees up the doctor to actually do what they came into medicine to do.
- 8:14Well, and hopefully what I'm hoping to see out of this anyways is that we actually see a medical practice that becomes more bedside focused.
- 8:22Absolutely.
- 8:22Because, you know, I don't want to get too crazy into the energy of those types of relationships.
- 8:28But the reality is, is that when a doctor believes, we were talking about JJ Virgin earlier.
- 8:32Yeah, yeah, JJ.
- 8:33And one of the conversations that I had with JJ when she was a guest on PDL.
- 8:38One of the conversations I had with her was she's like, when her son was in a coma in the hospital, she said- She created that bubble.
- 8:46Yep.
- 8:46She's like, if a nurse, if a doctor, if an orderly
- 8:51walked into the room with negative energy, get out.
- 8:55Yeah, yeah.
- 8:56Any doubt, any negative energy, any bias, any of their own fear crap.
- 8:59Anything, get out of the room.
- 9:00Yeah, yeah.
- 9:01She said if she would talk to a doctor and before any procedure was done, she would ask the doctor, do you believe that this will be 100% successful?
- 9:08And if the doctor didn't say absolutely 100% success, she said, you're not working on my son with even the belief that it could fail.
- 9:17Yeah, yeah, yeah.
- 9:19Out, next.
- 9:20And especially when we have such a fear-based culture right now, and especially in the world I work in, which is cancer, that goes hand-in-hand typically with fear.
- 9:29And that's the other part I'm trying to dismantle in my lifetime and hopefully my lineage that I leave behind after I'm long gone is that we're changing that conversation that, no, cancer is not something to fear.
- 9:44It is something to understand, and it's something to help you transform.
- 9:48I recently, you and I had discussed a friend of mine whose father was diagnosed with multiple myeloma and I had put together a workup and so on.
- 9:55And thank you so much for your review of it.
- 9:58I later had a chance to meet with their family and talk with them about why natural solutions as opposed to, you know, taking the chemo route that they were talking about.
- 10:08And again, it's not necessarily in either or.
- 10:10Right, right.
- 10:11Sometimes it's an and.
- 10:12Right, right.
- 10:13And the conversation with him was, look, here's some of the things that are going on with you.
- 10:17And if you do move on to this immunotherapy, which he seems to want to do that, then at least let's pay attention to these things because we need to be... Let's prepare the field.
- 10:27Correct.
- 10:28Your kidney function is already suffering.
- 10:30Yeah.
- 10:30Like putting chemo on top of already suffering kidneys.
- 10:33Like what are the protocols?
- 10:35What are the actions we can take to support your kidney, to support your liver, to support the things about you?
- 10:41How can we make sure your gut microbiome is ready for this?
- 10:44Yeah, critical.
- 10:45And really walking him through that terrain, if you will.
- 10:48Yeah.
- 10:49And just having those conversations and it's nuances that people don't even know.
- 10:53Like, for instance, they walked me through, like, what are you taking and so on.
- 10:57And she's like, oh, well, we gave up coffee.
- 10:59And I'm like, well, coffee's not bad for you.
- 11:01Right, right, right, right.
- 11:02Like, where'd you get that story from?
- 11:03Yeah, yeah.
- 11:03Correct.
- 11:03And is that the right story for you?
- 11:05I'm like, okay, well, instead, we've been drinking this.
- 11:09But it's a matcha, which I'm a fan of matcha.
- 11:12But it's a matcha collagen peptide.
- 11:14Yeah.
- 11:15Like, I'm going to ask you to stop taking the peptides.
- 11:18Yeah, yeah.
- 11:19There's a growth factor.
- 11:19So we have to pause a bit of it.
- 11:21That's exactly right.
- 11:22Like, there's a growth factor in here now.
- 11:24So when you're creating cellular growth, it's growing all the cells.
- 11:28Like, we need to pull back anything that's doing that.
- 11:31Like, you can do it, but, you know, wife can do it, husband can't.
- 11:35Like, this is just something that we need to align with.
- 11:37And people just don't know this stuff.
- 11:39And that will not come out of a chat GPT.
- 11:41Correct.
- 11:42Correct.
- 11:43That's exactly correct.
- 11:45And part of it is how many people actually put those type of lifestyle things into it.
- 11:49Yeah, because you just kind of take it for granted.
- 11:51Correct.
- 11:52And I mean, it was the pushing through everything they're doing.
- 11:55And it was silly stuff right down to like, I just want you to go out and sit on the porch for a half hour every morning.