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Speaker 1: Hey, everybody, it's Bill Courtney with an army of normal folks.

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Speaker 1: And we continue now with part two of our conversation

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Speaker 1: with Pedro Velesquez Senior and Junior, right after these brief

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Speaker 1: messages from our general sponsors. First of all, thank you

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Speaker 1: so much for sharing all of that very personal experience.

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Speaker 1: But you get to get through that to understand your

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Speaker 1: commitment to this community. And the commitment to this community

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Speaker 1: is a deal that you made with God to spare

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Speaker 1: your son. And I hear you, Pedro Junior, use the

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Speaker 1: word commitment, and I think that comes very naturally from

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Speaker 1: your parents because they are clearly committed.

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Speaker 2: And the whole family is committed.

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Speaker 1: Committed, and you made a commitment and you intended to

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Speaker 1: make good on it. So here's the deal. You made,

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Speaker 1: the deal your son saved. You ain't going back to Venezuela.

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Speaker 1: And you decide, well, I've got this background in indo chronology,

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Speaker 1: I understand. My emphasis was on diabetes, and I read

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Speaker 1: a thing that says I read a demographic that says

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Speaker 1: the national average for diabetes is nine percent and memphisis

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Speaker 1: almost double that. So there's a huge needs. It's like

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Speaker 1: a thirty percent higher thirty percent higher.

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Speaker 2: It's nine point six is the prevalence of diabetes in America.

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Speaker 2: He had his fifteen percent.

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Speaker 1: So the war that the Lord works in mysterious ways.

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Speaker 1: Not only did you make a deal with God, but

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Speaker 1: little did you know you were making a deal where

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Speaker 1: your talents and expertise and education were actually really really needed.

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Speaker 2: Yeah.

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Speaker 1: So the thing is, though you don't go to work

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Speaker 1: in the diabetes world to just go make a bunch

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Speaker 1: of money. You say, the reason diabetes is so more,

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Speaker 1: so much more prevalent Memphis is because you find it

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Speaker 1: in the poverty stricken, underserved areas and you decide that's

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Speaker 1: where we're going to work.

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Speaker 2: It came from amberin researcher, I analyze, I create models

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Speaker 2: I've heard, so I didn't want to create lifeloc as

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Speaker 2: my practice. We tried to become with something that, actually,

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Speaker 2: let's do a little bit what's going on in Memphis.

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Speaker 2: I realized that Memphis what I was seeing in my

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Speaker 2: older folk. I'm an internal medicine by training and add

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Speaker 2: al in doctrinology. So when it came here to work

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Speaker 2: for the pediatric hospital, I got my attention to see

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Speaker 2: that kids, we're having the same risk factor that we

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Speaker 2: see and our adult person. Actually in it's totally different.

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Speaker 2: The level of illness and sickness that I found in

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Speaker 2: those kids that I didn't see in Boston.

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Speaker 1: We saw. You saw sickness in kids and Memphis that

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Speaker 1: you did not see in Boston.

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Speaker 2: I didn't see the severity of obesity, the complications of obesity, sleep,

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Speaker 2: apny and blundish sleep, and children very frequently really hypertension

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Speaker 2: and children and children we have. I mean, at some

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Speaker 2: point I hope that we can talk, because this is

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Speaker 2: part of life doc measure how we can communicate. Where

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Speaker 2: are we heading?

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Speaker 1: Oh yeah, we're getting to that, But first I want

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Speaker 1: to you know, your beginnings.

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Speaker 2: I got my attention and then I was funded at

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Speaker 2: that time interested in diabetes by Nahe And what is

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Speaker 2: cultural research is bench to practice. So I worked very

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Speaker 2: closely with the University of Tennessee College if Nursing, and

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Speaker 2: I developed like an incubator, So I was preceptor. I

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Speaker 2: was the designing different studies to characterize what's going on Memphis.

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Speaker 2: And this is how life dog model come. So we

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Speaker 2: develop a model that work for Memphis. And this is

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Speaker 2: what makes the difference with any other practice. That come

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Speaker 2: out this is what I'm gonna do, and this is

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Speaker 2: what I know how to do. No, we come out

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Speaker 2: what this is what is needed and this is how

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Speaker 2: we're going to approach based results. For many years, we

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Speaker 2: have been no only characterizing what is affecting Memphield the most,

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Speaker 2: but also whether or not what are the intervention the

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Speaker 2: best impact. And we've been testing this for many years.

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Speaker 1: Also, we've been there only are you treating p theatric diabetes, hypertension,

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Speaker 1: sleep apnea, all the things that are affecting children that

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Speaker 1: shouldn't be, you're also collecting data and the research to

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Speaker 1: try to understand not how to effectively treat it, but

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Speaker 1: the why, the.

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Speaker 2: Why, the why, And this has been probably the biggest

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Speaker 2: driver of what we do.

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Speaker 1: So interestingly, as I hear this, I can't imagine that Jackson, Mississippi,

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Speaker 1: Little Rock, many other city, Oklahoma City. Now, if this

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Speaker 1: exists Memphis, it has to exist in other cities the

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Speaker 1: exact same way it is.

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Speaker 2: I mean, it's impressive and I'm going to leave something

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Speaker 2: for you to see. The evolution and this is the

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Speaker 2: reason that we become.

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Speaker 3: Generation We become what an evidence generation center because of

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Speaker 3: the again, what Evidence Generation center.

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Speaker 1: An evidence generation center. All right, break that down for

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Speaker 1: a guy that's a football coach, because those are.

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Speaker 2: It's easy what you were saying. It's a center that

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Speaker 2: map characterized the impact of obesity and chronic conditions across

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Speaker 2: the generation.

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Speaker 1: Okay, we've jumped too far ahead. We're getting to that.

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Speaker 1: That is phenomenal and I cannot wait to explore that.

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Speaker 1: But we got to our listeners have to exchange. You

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Speaker 1: made this deal. You start. I think I read the

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Speaker 1: first year you were seeing nineteen patients a month.

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Speaker 3: Is nineteen patients a month for the first they opened

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Speaker 3: the clinic. On Valentine's Day two thousand and five was

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Speaker 3: the first day that.

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Speaker 2: And what was the clinic just a It itially was

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Speaker 2: a primary care. It was just a primary care. Because

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Speaker 2: we want.

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Speaker 1: To but serving the unserved.

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Speaker 2: I focus exclusively on minorities underserved.

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Speaker 1: Okay, And where was this thing at.

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Speaker 3: Mount Moriah and three eighty five Mount Marian.

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Speaker 1: Okay, for those listening, that is not really inner city,

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Speaker 1: but it's southeast inner City. It is. I wouldn't say

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Speaker 1: it's the hood or the projects, but it is certainly

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Speaker 1: a lower moderately income area.

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Speaker 3: And at that time in two thousand and five. It

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Speaker 3: was also one of the areas with the most uninsured populations.

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Speaker 3: It was one of the places that you know, there

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Speaker 3: was a vast health disparity in that area back then.

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Speaker 1: Okay, so that's where you open and you're seeing nineteen

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Speaker 1: people a month, and you start going to work. But

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Speaker 1: as you go to work, you start to collect this

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Speaker 1: date I work.

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Speaker 2: I still working for the university. Oh as well, Yes,

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Speaker 2: I worked for the university. I couldn't practice there, and

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Speaker 2: I choose to invest and developing the model. So I

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Speaker 2: hired more physicians that were able to track the patient,

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Speaker 2: implement the patient. But I was gathered in the data,

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Speaker 2: so I pay initially, we pay, We developed the insurance process,

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Speaker 2: and it wasn't we were not necessarily making money. But

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Speaker 2: I couldn't work as a physician there because of my

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Speaker 2: commitment with the university. But I was doing it was

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Speaker 2: what I was calling the incubator process because I make

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Speaker 2: all the nurses the PhD to analyze the data. Let's see,

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Speaker 2: let's explore what we can do combining the data of

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Speaker 2: this on the serve community with the data that we

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Speaker 2: see a labona and come up with different disparities and

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Speaker 2: if you see, most of the paper that we have

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Speaker 2: published has been in this party this difference and diseases,

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Speaker 2: challenging the guideline and trying to understand why these people

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Speaker 2: die more, why these people get sicker, and.

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Speaker 1: Because it is true people that live in poverty have

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Speaker 1: I think it's a fourteen year discrepancy and life expectancy,

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Speaker 1: and it sounds like it starts.

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Speaker 2: They what it's called early mortality before thirty. They represent

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Speaker 2: a significant percentage.

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Speaker 4: Of four thirty.

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Speaker 2: And there is another definition of early mortality or early

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Speaker 2: dead before fifty five. They represent the majority of the

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Speaker 2: people that die earlier. And we're going to go deeper

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Speaker 2: than that, but it is exactly where lifelog is head

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Speaker 2: and try to understand the design of light. Doog is

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Speaker 2: trying to understand because it doesn't start when you become

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Speaker 2: twenty one. You have to be something that you can't

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Speaker 2: from childhood. And this is why we choose to move

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Speaker 2: to understand better the diseases in younger people.

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Speaker 3: But one of the things that's worth also highlighting is

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Speaker 3: the fact of why it's an effective thing is because

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Speaker 3: there's different ways of doing research. Right, you can study

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Speaker 3: what other people are doing and come up with answers.

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Speaker 3: And how LIFETOC started was just get in there and

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Speaker 3: start doing the work and see what you learn. You know,

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Speaker 3: you get in there, you start seeing the patients, not

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Speaker 3: just reading about the patients, not just collecting data from

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Speaker 3: other places, but one on one with patients, getting to

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Speaker 3: do the work every day to see what does the

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Speaker 3: data show, what does the people show, and then where

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Speaker 3: do we go from there?

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Speaker 1: I gotta believe early on the first thing you saw

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Speaker 1: had to have been diet as much as anything.

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Speaker 2: I mean, it's beyond that, because is beyond it. That is,

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Speaker 2: of course that that is something there and we're going

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Speaker 2: to go deeper in that. But but is what what

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Speaker 2: I saw is that we were a dressing We were

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Speaker 2: a dressing things in an uniform way. And I believe

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Speaker 2: that race environment impost different race and environment and impose

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Speaker 2: different challenge that requires different approach.

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Speaker 1: And said, what you're saying, what you observed early on

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Speaker 1: was that race and environment required a different medical approach.

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Speaker 1: I agree with. Please explain that. So for instance, because honestly,

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Speaker 1: we're not supposed to say that, you know, I mean,

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Speaker 1: let's be honest, We're not supposed to talk about race

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Speaker 1: as a different approach. I mean, that's ooh, we got

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Speaker 1: to be careful with the same things I police misunder

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Speaker 1: Please don't misunderstand me and I being facetious. Of course

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Speaker 1: we should talk about that. If those are the facts,

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Speaker 1: we should talk about it. But that almost seems taboo.

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Speaker 2: Let me give you were I'm heading. Okay, Okay, If

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Speaker 2: I get you him and I that are overweight, we

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Speaker 2: have three different, totally different mechanics why we become overweight, Okay.

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Speaker 2: And also if we if we are exposed to different environments,

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Speaker 2: and we'll talk about what is what is usually called

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Speaker 2: today's social determinant of health, used to call barriers of

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Speaker 2: health care in the past, so we get access to

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Speaker 2: food that is not healthy. But also the genetic predisposition.

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Speaker 2: There is people that have a genetic predisposition. We human

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Speaker 2: beings are exactly the same like any other animals in

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Speaker 2: the world. We have predispositions in the same way the.

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Speaker 1: Pion genetic predispositions to genetic predispositions that don't have to

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Speaker 1: deal with rice.

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Speaker 2: It had to do with they have to they have

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Speaker 2: to do it, but.

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Speaker 1: Hold it political correctness. We don't need to talk about

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Speaker 1: those but it's one thing is what you're saying, that

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Speaker 1: political correctness.

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Speaker 2: Then one thing is racism. Another is race. Okay, in

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Speaker 2: my country with the I learned when I what was

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Speaker 2: my race? When I came to America. The first time

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Speaker 2: that I came to America, I was fifteen. I came

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Speaker 2: to New Orleans. And when I was when I wasn't

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Speaker 2: in the custom, they asked me, what is your rise?

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Speaker 2: My mother is Indian with Indian, uh with German, my

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Speaker 2: father is Spanish with black. So what race? And I so,

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Speaker 2: I did it? Doesn't I mean? So, I said, I

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Speaker 2: have no idea. And in many countries, race is a character.

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Speaker 2: It is something that they find something in the same

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Speaker 2: way that that you choose horse, a horse that is good, right,

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Speaker 2: race horse, the pedigree define the quality of the whole

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Speaker 2: or whether or not you know it runs. So and

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Speaker 2: also the genetic makeup and the genetic makeup is also

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Speaker 2: exposed and modified by environment. So people that are that

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Speaker 2: have never been in this level of poverty does and

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Speaker 2: for generations not necessarily will understand that, but it modified.

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Speaker 2: It makes a different makeup. And we have a full

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Speaker 2: line of research and that okay. So, and this is

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Speaker 2: something and today today build the most way the best

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Speaker 2: way to do medicine is what it's called precision medicine.

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Speaker 2: It's called what precision medicine precision, so meaning that that

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Speaker 2: the more specific I target your condition, I will have

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Speaker 2: more chance of success. This is what you did with better.

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Speaker 2: They did genetic mapping. The way that he responded to

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Speaker 2: the medication is different that the way that other people

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Speaker 2: respond to the medication, the way that they metabolize the

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Speaker 2: chemotherapy is different. So this is where medicingle pharmaco difference

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Speaker 2: in the way that the people respond to treatment has

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Speaker 2: been defined by genetic predisposition people in the way that

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Speaker 2: they metabolize how fast. You may take a blood pressure

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Speaker 2: medication that probably is metabolized faster and you don't respond

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Speaker 2: well and you may need another that will require.

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Speaker 1: So when you have your clinic and you're starting to

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Speaker 1: treat kids, you're mapping their reaction to your treatment to

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Speaker 1: start to better understand how certain people from certain environments

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Speaker 1: and certain that it make up respond to treatment well.

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Speaker 3: And they created a series an algorithm while they were

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Speaker 3: doing the NIH funded research. My father and the team

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Speaker 3: back then in two thousand and five, him and doctor Neira.

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Speaker 1: What were they doing.

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Speaker 3: They created an algorithm to predict who was going to

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Speaker 3: be a high risk of developing diabetes, pre diabetes, and

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Speaker 3: cardiometabolic conditions based on based on lab results, history, social history,

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Speaker 3: family history, medical history, and just a bunch of different factors,

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Speaker 3: because that lets you zone in on what is the

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Speaker 3: root cause of the diabetes. For example, for me, I'm

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Speaker 3: also a patient at lifetoc. I'm diabetic.

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Speaker 1: You're a patient of lifetoc that your father started crazy, I'm.

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Speaker 3: A patient of as but it you know, what he

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Speaker 3: was referring to earlier is that, you know, most people,

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Speaker 3: even in the early two thousands were saying diabetes, throw

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Speaker 3: insulin at it, right, And that's a band aid on

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Speaker 3: a problem that isn't really a great band aid because

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Speaker 3: it has its own complications. But by understanding root causes,

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Speaker 3: we can see what other treatments exist. I'm not on insulin.

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Speaker 3: I've been diabetic for twelve years now, and I was

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Speaker 3: on insulin for a while. I've and you know, because

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Speaker 3: of everything that we can learn along the way. You know,

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Speaker 3: I've been off of insulin now for like seven or

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Speaker 3: eight years because with other medications and lifestyle and everything,

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Speaker 3: but it's not type one, it's not type two, it's

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Speaker 3: chemo induced diabetes. And you know it's got a different

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Speaker 3: cause and treatment option.

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Speaker 2: People, the causes are different. With the model that we

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Speaker 2: try to embrace is that initially the initial approach was

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Speaker 2: let's find out what are the risk factors and from

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Speaker 2: those risk factor what are the predictors, and then based

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Speaker 2: on those risk factor and predictor we tratify. Actually, in

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Speaker 2: two thousand and five we publish one of the model,

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Speaker 2: one of the papers that say to teach physicians what

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Speaker 2: kids is going to become with diabetes when I become obyes,

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Speaker 2: and when I become with heart disease before they the better. Okay,

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Speaker 2: So and this is what I try to see. We

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Speaker 2: haven't done a good job stopping the propation of obesity

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Speaker 2: and diabetes, not only in Memphis and the whole country.

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Speaker 2: This map, when you have a chance, take a look

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Speaker 2: two thousand and four, and then you will see that

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Speaker 2: we haven't done anything in prevention because we choose to

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Speaker 2: treat once you are to bees and going to approachect

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Speaker 2: once you develop the heart disease, when you develop the diabetes.

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Speaker 2: Even though nih CDC invested two hundred and fifty million

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Speaker 2: dollars to prove that diabetes is a predictable, unpreventable disease.

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Speaker 2: We choose to treat, not to prevent. So life doog

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Speaker 2: is reusing all this data and adapted to the Memphis

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Speaker 2: in order to see what are therees, How can we

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Speaker 2: intervene earlier? And there is instead of way for you

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Speaker 2: to develop, David.

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Speaker 1: We'll be right back in bold letters. Our mission is

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Speaker 1: to build healthier communities by preventing diabetes and obesity through

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Speaker 1: healthcare and research, all while serving underserved, underserved communities. We

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Speaker 1: started just only nineteen years ago, So tell me what

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Speaker 1: lifetoc has grown to from nineteen patients a month in

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Speaker 1: Mamraa area to now.

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Speaker 3: So you know, since it is a data driven approach,

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Speaker 3: we never really believe in if you build it, they

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Speaker 3: will come. It's got to be more intentional. It's it's

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Speaker 3: got to be based on you know, what do people

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Speaker 3: need and how do we make a solution that works. Right.

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Speaker 3: So it started as primary care and over the years

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Speaker 3: that it developed into indo chronology, diet and exercise, optometry, cardiology,

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Speaker 3: behavioral health, pharmacy and all these services get added over

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Speaker 3: those and.

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Speaker 1: All right, so cardiology, pharmacy, indochronology, diabetes and obesity, optometry

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Speaker 1: and behavioral health, these pediatrics and pediatricts and philoprats and

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Speaker 1: all of these are now folded into lifetocs treating for

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Speaker 1: the underserved communities in Memphis.

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Speaker 3: And right now we see anywhere from nine hundred to

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Speaker 3: eleven hundred patients.

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Speaker 1: A week, holy crowl oh, my gosh. Yeah, and how

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Speaker 1: many facilities.

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Speaker 3: So we have three clinics and we're also in four

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Speaker 3: schools in Memphis.

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Speaker 1: And all the while still collecting the data, still doing

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Speaker 1: the research.

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Speaker 3: The main thing is systemic change. Right, We're not going

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Speaker 3: to really change the world on our own, the same

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Speaker 3: way that Saint Jude couldn't change the world on their own.

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Speaker 3: They have to find out what works and share it

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Speaker 3: and try to instigate systemic changes to make it more doable.

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Speaker 3: And when you're talking about healthcare, that talks more than

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Speaker 3: just access to care. That's the things that my father

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Speaker 3: was talking about earlier. You know, access to healthy food, lifestyle, safety, jobs, income,

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Speaker 3: all these things are connected. And so the way that

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Speaker 3: we see this is providing a roadmap for people to

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Speaker 3: make better decisions who are in the positions to make

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Speaker 3: those decisions.

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Speaker 1: So your father just gave me a map that I

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Speaker 1: will show for those who can see it on film.

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Speaker 1: This is two thousand and four, and for those listening

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Speaker 1: in two thousand and four, it's just a map that

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Speaker 1: is age adjusted prevalence of diagnosed diabetes and obestia among

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Speaker 1: adults by county in the United States. And as you look,

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Speaker 1: there's a little band in the South that's the wider

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Speaker 1: the color, the less the prevalence, the darker into red purples,

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Speaker 1: and honestly, around Arizona, New Mexico there's a little bit.

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Speaker 1: And then there's kind of a band starting in Oklahoma,

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Speaker 1: going down through Mississippi, Alabama, Georgian up to the Carolinas

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Speaker 1: that has a little bit in Alaska. The rest of

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Speaker 1: it is very light. In two thousand and four and

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Speaker 1: twenty nineteen, fifteen years later, the map.

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Speaker 2: Is just dark purple.

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Speaker 1: It's purple the whole map. I mean, there's a really

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Speaker 1: small area of white somewhere in the mountains of Colorado,

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Speaker 1: and I don't even think anybody lives there. Wow, that's white.

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Speaker 1: But if you look in the South, it's purple. It

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Speaker 1: is it is, It is dark how you go from

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Speaker 1: white new purple. And so this is your point. You

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Speaker 1: circle this area. It's just deep purple. But your point

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Speaker 1: is the CDC in the country has spent two hundred

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Speaker 1: and fifty million dollars in research and in the last

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Speaker 1: fifteen years we've gone from not that bad to horrific

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Speaker 1: because we're not working on prevention. We're working on treatment.

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Speaker 2: That's it. You put it in black and white. The way,

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Speaker 2: the way, and the reason that we are moving. If

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Speaker 2: you choose to analyze our population is sixty sixty five

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Speaker 2: percent is younger than twenty one. Because we can't prevent

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Speaker 2: in this population, even though if you go most of

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Speaker 2: the people that pay better more insurance in medicaid, the

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Speaker 2: older people, but we won't be able to prevent. So

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Speaker 2: our mission is to be sure that we prevent. So

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Speaker 2: we are working with people at risk, and the lifelog

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Speaker 2: model is focusing in managing the risk, the risk to

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Speaker 2: become sick. But if you are sick, how can I

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Speaker 2: prevent you to develop complication?

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Speaker 1: So you're saying about twelve thousand patients a year. Now

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Speaker 1: you provide I don't know, fifty to fifty five thousand visits.

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Speaker 1: You're in schools. You're collecting the data, you're treating people,

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Speaker 1: but you're also working on prevention with.

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Speaker 2: Your identifying mapping the population.

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Speaker 1: Mapping the popul So the thing that I found phenomenal

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Speaker 1: is from your experience with Saint Jude. I gotta believe

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Speaker 1: your experience with Saint Jude had a part in this process.

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Speaker 1: Your goal is, yes, to absolutely do everything you can

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Speaker 1: to prevent and treat the most underserved communities in Memphis,

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Speaker 1: to make good on your commitment because your son lived.

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Speaker 2: That's it.

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Speaker 1: But further is you are trying to get this data

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Speaker 1: mapped and understand through these things that you've learned, and

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Speaker 1: your goal is to share with the country to say,

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Speaker 1: this is what we can do to be better. Despite

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Speaker 1: the two hundred and fifty million the government spent, we

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Speaker 1: have a better.

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Speaker 2: Way and also not only Joe what we can do,

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Speaker 2: but also what we can do with our own resources. Okay,

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Speaker 2: because all the research problem that life has been self financed,

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Speaker 2: soul fun we rain best battle forward earning and understanding

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Speaker 2: better the community, and it's been the bodyet has been

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Speaker 2: growing significantly. But initially, like that was not recognized by

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Speaker 2: any insurance, so.

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Speaker 1: It was not recognized by insurance.

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Speaker 2: Now, for the first two or three years they didn't

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Speaker 2: like the model that we proposed. Now we're adding every

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Speaker 2: single because yeah, because.

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Speaker 1: Unlike a lot of places like you, I know you

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Speaker 1: receive some donations, but the vast majority of your revenue

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Speaker 1: comes from Medicaid, Medicare right.

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Speaker 3: Medicaid, from patient care. You know, about seventy percent of

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Speaker 3: the patients we see or medicaid, the fifteen is about

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Speaker 3: about fifteen is uninsured, so eighty five percent is what

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Speaker 3: we would consider medically underserved, and then the rest is

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Speaker 3: Medicare and commercial insurances. And so the makeup of what

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Speaker 3: we do is the gist of self sustainability means that

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Speaker 3: we don't want what we do to be dependent on

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Speaker 3: a donation or a grant, and if we don't get

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Speaker 3: that donation that year, that we can't provide the care.

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Speaker 3: So it's been very intentionally designed so that you know,

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Speaker 3: the care that's provided is self sustainable and long term.

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Speaker 1: You could have made a hell of a lot more

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Speaker 1: money going to the private practice, but that wasn't your

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Speaker 1: commitment was I'm starting to really dig this commitment thing

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Speaker 1: inside your family. That's a beautiful thing. So Petro Jr.

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Speaker 1: You're not a doctor.

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Speaker 3: I'm not a doctor.

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Speaker 1: What are you.

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Speaker 3: Been? Whatever I needed to be since I was a kid.

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Speaker 1: You know, I've read where you said it was free

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Speaker 1: child labor for a while. Yeah, and it sounds like

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Speaker 1: your dad would have smacked you if you didn't go

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Speaker 1: to work.

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Speaker 2: You know.

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Speaker 3: It was after high school, after wrestling practice at Cbhschool

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Speaker 3: Christian Brothers High School, down to the clinic until it

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Speaker 3: was time to go home, and which was seven eight o'clock,

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Speaker 3: you know. You know. The idea was that we'd be

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Speaker 3: doing our volunteer hours there and all those things, so

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Speaker 3: you sort of get grow up around it. And then

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Speaker 3: during college I would do my summer internships there.

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Speaker 1: Where'd you go to school?

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Speaker 3: I went to Florida International University down in Miami. Got it,

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Speaker 3: and so during those summer internships had come back, we'd

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Speaker 3: see what was going on. One of my first projects

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Speaker 3: was back in twenty eleven, for the uninsured population, creating

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Speaker 3: a membership model so that they could get access to

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Speaker 3: everything that we do at the clinics for ninety percent off.

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Speaker 1: How do you do that?

440
00:28:48,200 --> 00:28:53,040
Speaker 3: Just projections data and trying to tie what has to

441
00:28:53,080 --> 00:28:56,040
Speaker 3: happen medically to how can you make it happen operationally,

442
00:28:56,680 --> 00:29:00,920
Speaker 3: Like once the doctors sort of identify what work, we

443
00:29:00,960 --> 00:29:04,040
Speaker 3: can try to make sure that it can be implemented. Right,

444
00:29:04,880 --> 00:29:07,080
Speaker 3: And sometimes that's the other way around.

445
00:29:07,320 --> 00:29:09,880
Speaker 1: Hold it you say that, yes, right, I get it,

446
00:29:10,440 --> 00:29:14,280
Speaker 1: But that's not the reality in most places across the country. No.

447
00:29:14,520 --> 00:29:18,240
Speaker 3: Usually it's the financial people that will say what needs

448
00:29:18,240 --> 00:29:20,440
Speaker 3: to happen, and the doctors have to try to make

449
00:29:20,480 --> 00:29:23,800
Speaker 3: it work. And that's you know, one of the biggest

450
00:29:24,120 --> 00:29:27,480
Speaker 3: things that is why there's so much purple on that map, right,

451
00:29:28,240 --> 00:29:31,720
Speaker 3: is that it's not really with the health. A lot

452
00:29:31,720 --> 00:29:34,640
Speaker 3: of decisions weren't necessarily made for the health.

453
00:29:34,560 --> 00:29:38,640
Speaker 1: That made it financially rather than the health decisions.

454
00:29:38,120 --> 00:29:39,880
Speaker 3: Which is normal for any country.

455
00:29:40,000 --> 00:29:40,200
Speaker 4: Right.

456
00:29:40,360 --> 00:29:42,640
Speaker 3: It's just that and is again why we are so

457
00:29:42,800 --> 00:29:45,320
Speaker 3: intentional about the work that we do, is that we

458
00:29:45,440 --> 00:29:48,000
Speaker 3: have to provide an avenue for people to be successful

459
00:29:48,040 --> 00:29:51,000
Speaker 3: and make money by keeping people healthy and not necessarily

460
00:29:51,040 --> 00:29:52,120
Speaker 3: by treating diseases.

461
00:29:52,640 --> 00:29:55,160
Speaker 1: So you go to Florida and National you do your thing,

462
00:29:55,280 --> 00:29:56,480
Speaker 1: and then after you graduate.

463
00:29:57,160 --> 00:30:00,640
Speaker 3: It was actually my junior year. My father and the

464
00:30:00,720 --> 00:30:04,080
Speaker 3: business were going through some pretty difficult times, so I

465
00:30:04,120 --> 00:30:06,760
Speaker 3: was there here this summer I was hoping on difficult.

466
00:30:07,880 --> 00:30:12,640
Speaker 3: So it was two thousand and twelve back then, and

467
00:30:12,680 --> 00:30:18,240
Speaker 3: I was here for my summer internship. There was a

468
00:30:18,280 --> 00:30:21,720
Speaker 3: difficult situation with his partner at the time, and so

469
00:30:23,000 --> 00:30:27,440
Speaker 3: my father being a businessman, he eric sorry, a medical person,

470
00:30:27,480 --> 00:30:30,160
Speaker 3: he wasn't really business. He had a partner that handled

471
00:30:30,160 --> 00:30:33,040
Speaker 3: the business side of things, and some things were happening

472
00:30:33,120 --> 00:30:36,959
Speaker 3: that shouldn't have been happening, and he had to end

473
00:30:37,000 --> 00:30:40,000
Speaker 3: that partnership and was sort of left with the clinic

474
00:30:40,080 --> 00:30:42,880
Speaker 3: in a state of I'm a doctor, not the business.

475
00:30:42,920 --> 00:30:47,520
Speaker 3: And so during that summer I was trying to help

476
00:30:47,560 --> 00:30:50,040
Speaker 3: with as much as I could. And when it was

477
00:30:50,080 --> 00:30:52,160
Speaker 3: time for me to go back to school and register

478
00:30:52,320 --> 00:30:55,040
Speaker 3: for classes, when I asked him, if you know, it'd

479
00:30:55,080 --> 00:30:58,920
Speaker 3: be better if I stayed my senior year, and so

480
00:30:59,040 --> 00:31:02,240
Speaker 3: I registered for on line classes and stayed in Memphis

481
00:31:02,360 --> 00:31:04,760
Speaker 3: to see what I could do to help my senior year.

482
00:31:05,600 --> 00:31:09,000
Speaker 3: And that's when I sort of got into this mode

483
00:31:09,080 --> 00:31:13,520
Speaker 3: of going into different departments, learning what they do, helping

484
00:31:13,560 --> 00:31:16,800
Speaker 3: fix something, and going on to the next thing, you know,

485
00:31:16,840 --> 00:31:20,360
Speaker 3: whether that was the front office, the billing, the accounting,

486
00:31:20,440 --> 00:31:23,560
Speaker 3: and all the senior in college. As a senior in college,

487
00:31:23,600 --> 00:31:25,800
Speaker 3: I had one day a week where I had to

488
00:31:25,800 --> 00:31:29,640
Speaker 3: go to Miami. It was Tuesday. Tuesdays was my in

489
00:31:29,720 --> 00:31:32,360
Speaker 3: person days, and so I'd fly down on Monday, come

490
00:31:32,400 --> 00:31:36,680
Speaker 3: back on Wednesdays. And I got to know a bar

491
00:31:36,840 --> 00:31:40,640
Speaker 3: at the at the Charleston Airport very well that you know,

492
00:31:41,360 --> 00:31:45,680
Speaker 3: my cocaine rum with coconut shrimp would be a weekly,

493
00:31:46,400 --> 00:31:50,640
Speaker 3: a bi weekly thing every Monday and Wednesday there. And

494
00:31:50,840 --> 00:31:57,720
Speaker 3: so when I graduated, I ended up seeing a path

495
00:31:57,800 --> 00:32:01,760
Speaker 3: for me in healthcare, which was sort of you know, serendipitous.

496
00:32:01,800 --> 00:32:04,680
Speaker 3: That's sort of what my just about.

497
00:32:04,440 --> 00:32:06,600
Speaker 1: To say, serendipity.

498
00:32:05,880 --> 00:32:10,000
Speaker 3: Really, And so that's when I decided that I was

499
00:32:10,040 --> 00:32:14,760
Speaker 3: probably going to dedicate my career in healthcare in different ways.

500
00:32:14,760 --> 00:32:17,720
Speaker 3: I didn't know exactly what that meant, so what I'd

501
00:32:17,840 --> 00:32:20,000
Speaker 3: like doing and what I have done since it's just

502
00:32:20,760 --> 00:32:25,240
Speaker 3: identifying problems and finding solutions to them.

503
00:32:24,680 --> 00:32:26,520
Speaker 1: From a business perspective.

504
00:32:26,040 --> 00:32:30,280
Speaker 3: Now from a medical from a medical implementation perspective, there's

505
00:32:30,280 --> 00:32:32,400
Speaker 3: a lot of journals. There's a lot of things out

506
00:32:32,400 --> 00:32:35,600
Speaker 3: there that exist that tell people what they should be doing,

507
00:32:35,640 --> 00:32:37,800
Speaker 3: but don't really provide a path on how to do it?

508
00:32:38,160 --> 00:32:40,400
Speaker 3: How can you operate a clinic? How can you do

509
00:32:40,440 --> 00:32:42,600
Speaker 3: these things? How can you implement these things in your

510
00:32:42,640 --> 00:32:46,200
Speaker 3: community and your neighborhood and your organization without having to

511
00:32:46,240 --> 00:32:48,120
Speaker 3: be a nonprofit or a hospital?

512
00:32:50,240 --> 00:32:54,040
Speaker 1: Are you not so proud? You should be?

513
00:32:54,680 --> 00:32:55,120
Speaker 2: I am.

514
00:32:55,280 --> 00:32:59,000
Speaker 1: I am a kid that's a senior in college is

515
00:32:59,040 --> 00:33:03,080
Speaker 1: supposed to be going to keg parties and chasing girls

516
00:33:03,120 --> 00:33:07,000
Speaker 1: around and acting like an idiot. And he is flying

517
00:33:07,240 --> 00:33:11,040
Speaker 1: to school for one day, flying back and basically running

518
00:33:11,080 --> 00:33:15,240
Speaker 1: the operations of your clinic for he learned.

519
00:33:14,960 --> 00:33:18,000
Speaker 2: Every aspect of the clinic. He also partied a lot, but.

520
00:33:19,240 --> 00:33:20,240
Speaker 1: He did have podcast.

521
00:33:20,920 --> 00:33:25,320
Speaker 2: But is he he knows every single astpet of clinicating

522
00:33:25,720 --> 00:33:27,360
Speaker 2: and the way that people should know.

523
00:33:27,600 --> 00:33:30,880
Speaker 1: So well, you are now what my role?

524
00:33:31,160 --> 00:33:33,480
Speaker 3: Yeah is executive director of lifetoc.

525
00:33:34,800 --> 00:33:39,440
Speaker 2: He was the operational director. He's been the operational director

526
00:33:39,560 --> 00:33:42,960
Speaker 2: for a long time. He's been more than twelve years working.

527
00:33:43,240 --> 00:33:55,240
Speaker 4: We act as a thirty three year old. We'll be

528
00:33:55,320 --> 00:33:55,800
Speaker 4: right back.

529
00:34:03,480 --> 00:34:08,399
Speaker 3: We became a nonprofit in twenty twenty one, okay, and

530
00:34:08,640 --> 00:34:11,000
Speaker 3: that was a two year process that we started just

531
00:34:11,040 --> 00:34:12,080
Speaker 3: because I don't.

532
00:34:12,000 --> 00:34:13,799
Speaker 1: Know, it's not easy to get a five oh one

533
00:34:13,920 --> 00:34:16,840
Speaker 1: C three especially in the medical world, it's not.

534
00:34:17,160 --> 00:34:19,600
Speaker 3: And you know, we thought it was the best move

535
00:34:19,760 --> 00:34:22,680
Speaker 3: for the longevity because you know, the alternatives when my

536
00:34:22,840 --> 00:34:28,879
Speaker 3: father decides to stop practicing is that it can either

537
00:34:28,920 --> 00:34:31,640
Speaker 3: shut down or sell the clinics. And so as a nonprofit,

538
00:34:32,320 --> 00:34:35,040
Speaker 3: the organization is going to continue to live until you know,

539
00:34:35,160 --> 00:34:37,920
Speaker 3: diabetes and obesity is no longer a problem.

540
00:34:38,080 --> 00:34:39,879
Speaker 1: That is so weird to hear you say, because that's

541
00:34:39,880 --> 00:34:43,840
Speaker 1: Saint Jude's that's Saint Jude's goal. Saint Jude wants to

542
00:34:43,840 --> 00:34:47,919
Speaker 1: work itself out of ever being needed, and LIFETOC wants

543
00:34:47,960 --> 00:34:48,680
Speaker 1: to work itself.

544
00:34:48,880 --> 00:34:51,239
Speaker 3: That should be the goal of every nonprofit, right is

545
00:34:51,280 --> 00:34:54,120
Speaker 3: that you know, eventually they don't have to exist, whether

546
00:34:54,160 --> 00:34:58,600
Speaker 3: you're fighting a lack of education, lack of economic or

547
00:34:58,640 --> 00:35:02,919
Speaker 3: income development, la of food in the goal of every

548
00:35:02,920 --> 00:35:05,919
Speaker 3: nonprofit should be that they can close shop one day.

549
00:35:06,760 --> 00:35:10,800
Speaker 3: But the reality is that you know it's going to

550
00:35:10,880 --> 00:35:13,080
Speaker 3: take a lot. So when we developed the board, when

551
00:35:13,080 --> 00:35:16,600
Speaker 3: we developed everything, we started shopping around for an executive director.

552
00:35:16,640 --> 00:35:18,359
Speaker 3: And you know, after a few months is when they

553
00:35:18,400 --> 00:35:22,080
Speaker 3: asked me if I could step into that role, and

554
00:35:22,760 --> 00:35:24,239
Speaker 3: you know, that's where it was.

555
00:35:25,280 --> 00:35:29,440
Speaker 1: I'm pro it was not me. It was the board.

556
00:35:30,400 --> 00:35:33,200
Speaker 1: It was not nepotism. I don't think it shouldn't be.

557
00:35:33,600 --> 00:35:36,360
Speaker 2: And I said, when I said that my family is committed,

558
00:35:36,480 --> 00:35:41,319
Speaker 2: is that every chat had been supported in different ways.

559
00:35:42,719 --> 00:35:45,719
Speaker 2: Who we are now? What we the organization that we are.

560
00:35:46,360 --> 00:35:52,239
Speaker 2: So everybody raised by merit. So it doesn't matter whether

561
00:35:52,360 --> 00:35:55,640
Speaker 2: they are my children or whoever. They have to compete.

562
00:35:55,840 --> 00:35:59,080
Speaker 2: And Pedro actually at some point he said, and they're

563
00:35:59,080 --> 00:36:02,800
Speaker 2: working the mass and in the less pain. So it's

564
00:36:02,920 --> 00:36:05,440
Speaker 2: because this is what makes people.

565
00:36:06,120 --> 00:36:12,080
Speaker 3: So nepotism tends to go the other way. In our family.

566
00:36:12,120 --> 00:36:14,160
Speaker 3: You know, the closer you are, the harder you have

567
00:36:14,239 --> 00:36:14,600
Speaker 3: to work.

568
00:36:14,920 --> 00:36:18,960
Speaker 1: So few demographics, nine point six percent of the US

569
00:36:19,080 --> 00:36:25,160
Speaker 1: population has diabetes. Shelby County, Memphis is fifteen. You guys

570
00:36:25,800 --> 00:36:30,480
Speaker 1: have been cited in eighty publications based on the work

571
00:36:30,480 --> 00:36:35,000
Speaker 1: that you've done. Your research has impacted seventy three practices

572
00:36:35,080 --> 00:36:40,680
Speaker 1: in Tennessee. You do not depend on charity. You use insurance,

573
00:36:40,719 --> 00:36:44,120
Speaker 1: Medicaid and Medicare, which many doctor's offices says you can't

574
00:36:44,120 --> 00:36:47,560
Speaker 1: operate on because it doesn't pay enough. But you have

575
00:36:47,719 --> 00:36:52,399
Speaker 1: spoken amazingly to how you've managed that less than ten

576
00:36:52,440 --> 00:36:55,360
Speaker 1: percent of your revenues from donations, although you could always

577
00:36:55,440 --> 00:36:57,719
Speaker 1: use donations for the work you do, it's still less

578
00:36:57,719 --> 00:37:02,000
Speaker 1: than ten percent. And Slingshot, who has been a guest

579
00:37:02,160 --> 00:37:07,520
Speaker 1: on our show, who they do through analytics, really go

580
00:37:07,719 --> 00:37:12,600
Speaker 1: into philanthropic endeavors five HO, one C three organizations and

581
00:37:12,640 --> 00:37:18,080
Speaker 1: they really measure the success of those organizations and do

582
00:37:18,160 --> 00:37:22,200
Speaker 1: it in a very analytical way. Slingshot found that for

583
00:37:22,360 --> 00:37:27,480
Speaker 1: every dollar invested in to lifetock, there's two point seven

584
00:37:27,560 --> 00:37:31,799
Speaker 1: dollars in poverty fighting impact. By what you.

585
00:37:31,760 --> 00:37:36,400
Speaker 3: Did last year, we spent eight million dollars running the

586
00:37:36,560 --> 00:37:41,160
Speaker 3: organization more or less, and so using what Impact saw,

587
00:37:41,239 --> 00:37:44,359
Speaker 3: which they analyzed twenty twenty three, that means that those

588
00:37:44,360 --> 00:37:48,880
Speaker 3: eight million dollars we spent generated over twenty million dollars

589
00:37:48,920 --> 00:37:51,560
Speaker 3: in economic benefit for the communities that we serve.

590
00:37:52,239 --> 00:37:56,239
Speaker 2: Fifty percent of the impact come from the ordination diabetes

591
00:37:56,280 --> 00:38:01,719
Speaker 2: and obesity prevention and early management. This is also that

592
00:38:01,960 --> 00:38:13,560
Speaker 2: somebody of the Lynchhot report, so and.

593
00:38:11,800 --> 00:38:14,360
Speaker 1: So say what you just said again, fifty percent.

594
00:38:15,520 --> 00:38:18,239
Speaker 3: So they analyzed a few things, right, They looked at

595
00:38:18,239 --> 00:38:21,080
Speaker 3: our medical model, they looked at our school based tell system,

596
00:38:21,200 --> 00:38:23,840
Speaker 3: and then they looked at our Community Health Worker Initiative,

597
00:38:24,680 --> 00:38:26,799
Speaker 3: and each one of these three parts of what we

598
00:38:27,000 --> 00:38:30,960
Speaker 3: do was analyzed to understand what was the impact that

599
00:38:30,960 --> 00:38:36,080
Speaker 3: it had on the patients. And you know, most investments

600
00:38:36,160 --> 00:38:39,480
Speaker 3: that well, any investment that gives a two hundred and

601
00:38:39,520 --> 00:38:43,360
Speaker 3: seventy percent return in a year would be considered.

602
00:38:42,960 --> 00:38:44,560
Speaker 1: A good investment to run.

603
00:38:44,760 --> 00:38:48,839
Speaker 3: Yeah, so the interesting thing about this third party analysis

604
00:38:48,920 --> 00:38:51,680
Speaker 3: was trying to tie the nod of you know, why

605
00:38:51,680 --> 00:38:52,560
Speaker 3: should people care?

606
00:38:52,640 --> 00:38:52,839
Speaker 4: Right?

607
00:38:53,480 --> 00:38:57,439
Speaker 3: You know, nobody wants Memphis to not progress economically, and

608
00:38:57,680 --> 00:39:00,640
Speaker 3: this what this shows is that, you know, a healthy

609
00:39:00,680 --> 00:39:06,200
Speaker 3: Memphis is a more prosperous Memphis. And so being able

610
00:39:06,239 --> 00:39:11,000
Speaker 3: to use data to paint that picture for people is

611
00:39:11,040 --> 00:39:13,600
Speaker 3: going to be extremely important, especially as we have to

612
00:39:13,719 --> 00:39:16,719
Speaker 3: start having more and more conversations around what has to

613
00:39:16,760 --> 00:39:21,640
Speaker 3: happen systemically for these things to be more realistic, more doable,

614
00:39:21,680 --> 00:39:24,520
Speaker 3: and that it doesn't take you know, people as committed

615
00:39:24,520 --> 00:39:26,640
Speaker 3: as my father and I and my family for it

616
00:39:26,680 --> 00:39:29,480
Speaker 3: to be possible. You know, it should be the standard

617
00:39:29,520 --> 00:39:29,879
Speaker 3: of care.

618
00:39:30,400 --> 00:39:35,240
Speaker 1: And you know what you said by extension, a healthier

619
00:39:35,280 --> 00:39:38,680
Speaker 1: Memphis is a more prosperous Memphis. A healthier Little Rock

620
00:39:38,960 --> 00:39:41,640
Speaker 1: is a more prosperous Little Rock. A healthier Louisville is

621
00:39:41,680 --> 00:39:46,120
Speaker 1: a more prosperous Louville. A healthier US is a more

622
00:39:46,160 --> 00:39:49,200
Speaker 1: prosperous Us. But I would even go as far to

623
00:39:49,320 --> 00:39:56,759
Speaker 1: say a healthier Memphis is a more prosperous Memphis. Thus,

624
00:39:57,680 --> 00:40:02,160
Speaker 1: a more prosperous Memphis is a safer Memphis, is a

625
00:40:02,200 --> 00:40:07,920
Speaker 1: less crime ridden Memphis, is a less blighted Memphis. It

626
00:40:08,239 --> 00:40:12,600
Speaker 1: all flows downhill. So when we talk about the things

627
00:40:12,640 --> 00:40:16,200
Speaker 1: that are plaguing our culture and our society, it follows

628
00:40:16,239 --> 00:40:23,360
Speaker 1: them that a healthier public generates a healthier culture, not

629
00:40:23,680 --> 00:40:27,120
Speaker 1: just from a physical health, but a cultural health, a

630
00:40:27,120 --> 00:40:30,360
Speaker 1: societal health, a safety health. And there is plenty of

631
00:40:30,400 --> 00:40:33,680
Speaker 1: resources support There's plenty of research that says what I

632
00:40:33,719 --> 00:40:36,000
Speaker 1: was saying, right, Well, why'd you do all the research?

633
00:40:36,040 --> 00:40:40,399
Speaker 1: I just said it? But tell me about that. That's

634
00:40:40,440 --> 00:40:43,840
Speaker 1: interesting because I just I'm hearing you, and I'm repeating

635
00:40:43,840 --> 00:40:44,759
Speaker 1: what I'm hearing from you.

636
00:40:44,800 --> 00:40:46,799
Speaker 2: This is nothing that I'm saying, but this is the way.

637
00:40:46,840 --> 00:40:49,040
Speaker 2: There is plenty of result of showing that. For intent.

638
00:40:49,080 --> 00:40:52,520
Speaker 2: There is different model of healthcare. One of the healthcare

639
00:40:52,920 --> 00:40:57,520
Speaker 2: is is called behavior an ecological model of health care.

640
00:40:57,600 --> 00:41:01,279
Speaker 2: Has been published by heart, but by anything. So they

641
00:41:01,320 --> 00:41:04,759
Speaker 2: show that the belief of the people, the access to

642
00:41:04,840 --> 00:41:09,640
Speaker 2: health care, the perception of diseases, the way that the

643
00:41:09,640 --> 00:41:13,400
Speaker 2: physicians treat them, the way that they feel they trust

644
00:41:13,400 --> 00:41:18,000
Speaker 2: in the primary care define the outcome of the society.

645
00:41:18,680 --> 00:41:23,520
Speaker 2: They associated with less crime, there is association with less depression.

646
00:41:23,560 --> 00:41:29,440
Speaker 2: That is association with less expenditure and unnecessary you are,

647
00:41:30,120 --> 00:41:34,840
Speaker 2: less hospitalization. Most of the resorts of whatever you said

648
00:41:35,000 --> 00:41:38,800
Speaker 2: so healthier will impact the whole economy to the point.

649
00:41:39,160 --> 00:41:44,720
Speaker 2: To the point. For since the stay of tennessee start

650
00:41:44,800 --> 00:41:48,520
Speaker 2: to measure quality metrics, life doog have achieved one hundred

651
00:41:48,520 --> 00:41:50,120
Speaker 2: percent of the quality metrics.

652
00:41:50,239 --> 00:41:50,840
Speaker 1: You're kidding.

653
00:41:51,280 --> 00:41:58,080
Speaker 2: However, even more since twenty seventeen that we start to

654
00:41:58,160 --> 00:42:03,680
Speaker 2: measure financial impact, lifetog produce. Patients that are seeing lifedog

655
00:42:04,000 --> 00:42:08,400
Speaker 2: have twenty seven percent lower total cost of care. Total

656
00:42:08,480 --> 00:42:12,120
Speaker 2: cost of care mean that they get less admission in art,

657
00:42:12,200 --> 00:42:16,160
Speaker 2: less admission the hospital, less pharmacy, later biology.

658
00:42:16,239 --> 00:42:18,920
Speaker 1: Let's start twenty seven percent reduction and the cost of

659
00:42:19,000 --> 00:42:19,959
Speaker 1: health care.

660
00:42:20,280 --> 00:42:23,120
Speaker 2: For patients seeing patients from life and this is data

661
00:42:23,200 --> 00:42:25,880
Speaker 2: that can be seen in think care. Okay, this is

662
00:42:25,920 --> 00:42:28,719
Speaker 2: part of the patient center, medical home that have been

663
00:42:28,800 --> 00:42:31,880
Speaker 2: polish by ten Care, basing that we're patients, So why.

664
00:42:31,719 --> 00:42:36,239
Speaker 1: Can't this be scaled in every city in the country.

665
00:42:36,680 --> 00:42:38,680
Speaker 3: That's one of the things that has to happen, right,

666
00:42:38,760 --> 00:42:43,360
Speaker 3: is that you know it's doable, it works, but there's

667
00:42:43,040 --> 00:42:46,520
Speaker 3: the systems aren't necessarily in place to support it.

668
00:42:46,640 --> 00:42:46,839
Speaker 4: Right.

669
00:42:47,239 --> 00:42:50,320
Speaker 3: A lot of the work that we do around creating

670
00:42:50,440 --> 00:42:54,200
Speaker 3: models of care, models of reimbursement, creating these things so

671
00:42:54,239 --> 00:42:57,239
Speaker 3: that it is more scalable, so that people can do

672
00:42:57,280 --> 00:43:00,479
Speaker 3: it in their own backyards. You know, we don't want

673
00:43:00,520 --> 00:43:05,040
Speaker 3: to be the clinic across the US trying to tell,

674
00:43:05,200 --> 00:43:07,759
Speaker 3: you know, New Orleans how to treat New Orleans. We

675
00:43:07,760 --> 00:43:12,200
Speaker 3: do want to create the around. We want to provide

676
00:43:12,239 --> 00:43:14,640
Speaker 3: the path to where people can do this on their side.

677
00:43:14,760 --> 00:43:20,399
Speaker 2: We've been able to treat the underserved community and drive organization. Right,

678
00:43:20,440 --> 00:43:24,480
Speaker 2: we be able to use the patient that we see.

679
00:43:25,680 --> 00:43:29,160
Speaker 2: Most practices doesn't accept those patients.

680
00:43:30,400 --> 00:43:34,440
Speaker 1: The most practices won't accept the patients that you see

681
00:43:34,520 --> 00:43:37,000
Speaker 1: because they don't have private insurance, they don't have prevent

682
00:43:37,080 --> 00:43:39,440
Speaker 1: Doctors want to make more money than what Medicare and

683
00:43:39,480 --> 00:43:40,440
Speaker 1: Medicaid will pay.

684
00:43:40,440 --> 00:43:43,400
Speaker 3: Well, and it's hard you know, because these patients do

685
00:43:43,719 --> 00:43:48,480
Speaker 3: have definitely a lot of challenges in their lives that

686
00:43:48,600 --> 00:43:52,399
Speaker 3: make it difficult for them to remain compliant. And that's

687
00:43:52,440 --> 00:43:56,400
Speaker 3: a very frustrating sentiment to have when you know you

688
00:43:57,080 --> 00:44:00,680
Speaker 3: are a doctor seeing a patient and it seems like

689
00:44:00,719 --> 00:44:03,720
Speaker 3: they just don't really care, and you want to focus

690
00:44:03,760 --> 00:44:06,120
Speaker 3: on the people that do care right now, they care

691
00:44:06,120 --> 00:44:10,239
Speaker 3: about their own health around their health and so understand the.

692
00:44:10,200 --> 00:44:13,520
Speaker 1: Whole time, you know from the data as a physician,

693
00:44:13,800 --> 00:44:17,160
Speaker 1: your patient doesn't really understand this. But you're thinking, if

694
00:44:17,200 --> 00:44:19,080
Speaker 1: I could get this person to care about their health

695
00:44:19,080 --> 00:44:22,240
Speaker 1: and listen to me and I can help prevent their cure,

696
00:44:23,000 --> 00:44:25,160
Speaker 1: I'm going to save them money and I'm going to

697
00:44:25,200 --> 00:44:26,080
Speaker 1: better my community.

698
00:44:26,320 --> 00:44:29,919
Speaker 2: Actually, you're right because the first step that we put

699
00:44:29,960 --> 00:44:34,920
Speaker 2: in the school system, when we save the significant amount

700
00:44:34,920 --> 00:44:38,800
Speaker 2: of plenty to one of the HMO insurance, we didn't

701
00:44:38,840 --> 00:44:42,400
Speaker 2: ask for higher reinforsement. Can you help us to impact

702
00:44:42,400 --> 00:44:47,080
Speaker 2: the community, and we finance the first school program. Today

703
00:44:47,200 --> 00:44:50,400
Speaker 2: we support high school program from our own resources. We

704
00:44:50,560 --> 00:44:54,080
Speaker 2: spend more than three hundred thousand dollars providing care to

705
00:44:54,080 --> 00:44:57,160
Speaker 2: twenty two hundred clock to twenty two hundred kids at

706
00:44:57,160 --> 00:45:00,160
Speaker 2: the school. We see about more than four thousand busy

707
00:45:00,520 --> 00:45:03,840
Speaker 2: and most of the basits are not reversible by insurance.

708
00:45:03,960 --> 00:45:07,799
Speaker 2: Is our decision. You've been doing this. We have been

709
00:45:07,800 --> 00:45:09,680
Speaker 2: doing this in twenty nineteen.

710
00:45:10,160 --> 00:45:13,160
Speaker 3: So when we talk about research and innovation, you know,

711
00:45:13,200 --> 00:45:17,520
Speaker 3: we've built a model of self sustainability. However, self sustainable

712
00:45:17,560 --> 00:45:21,560
Speaker 3: medical model doesn't really promote innovation, so we have to

713
00:45:21,600 --> 00:45:24,879
Speaker 3: continue to invest in sort of new models of care,

714
00:45:25,000 --> 00:45:28,600
Speaker 3: new ways of making sure that people in these communities

715
00:45:28,640 --> 00:45:31,320
Speaker 3: that where the parents can't take off work enough times

716
00:45:31,360 --> 00:45:33,760
Speaker 3: to get the kids to miss a lot of school

717
00:45:33,840 --> 00:45:35,640
Speaker 3: to get them to the doctor's office, you.

718
00:45:35,560 --> 00:45:38,799
Speaker 1: Know, instead of that, you're actually meeting them where they

719
00:45:38,880 --> 00:45:40,480
Speaker 1: are in their school.

720
00:45:40,360 --> 00:45:42,960
Speaker 3: In the schools again, to try to make sure that

721
00:45:43,040 --> 00:45:46,280
Speaker 3: we can generate the evidence so that this can become

722
00:45:46,320 --> 00:45:48,640
Speaker 3: the norm so other people can do this. We're not

723
00:45:49,160 --> 00:45:50,280
Speaker 3: trying to be in every.

724
00:45:50,080 --> 00:45:55,719
Speaker 2: Sex we invest in this dross companies working with Tank Care.

725
00:45:55,920 --> 00:46:00,279
Speaker 2: How why don't we and the University of Tennessee, why

726
00:46:00,320 --> 00:46:04,719
Speaker 2: don't we approve this type of code and rembursement so

727
00:46:04,880 --> 00:46:08,360
Speaker 2: any doctor, no lifelob they can go and serve to

728
00:46:08,400 --> 00:46:13,719
Speaker 2: the community, so that there is progress. The state is

729
00:46:13,920 --> 00:46:17,960
Speaker 2: very eager to make some changes that eventually not LifeLock

730
00:46:18,040 --> 00:46:21,279
Speaker 2: only Life Doog will develop the model, but any other

731
00:46:21,520 --> 00:46:23,200
Speaker 2: you can give it to all the doctors in the

732
00:46:23,239 --> 00:46:25,520
Speaker 2: state that this is the way. That's the way that

733
00:46:25,600 --> 00:46:29,680
Speaker 2: the epidemic is growing. Life Doog become non profit not

734
00:46:29,760 --> 00:46:35,160
Speaker 2: because of the operations budget. Life Dog becomes because we

735
00:46:35,239 --> 00:46:38,760
Speaker 2: need to expand the model faster if we want to

736
00:46:38,800 --> 00:46:41,600
Speaker 2: target the obesity and diabetes epidemic in the country.

737
00:46:42,040 --> 00:46:44,160
Speaker 1: It says, one of the things I've read is your

738
00:46:44,160 --> 00:46:48,000
Speaker 1: research has impacted seventy three practices in Tennessee. I said

739
00:46:48,000 --> 00:46:48,719
Speaker 1: that earlier.

740
00:46:49,239 --> 00:46:55,919
Speaker 3: How So, when we talk about developing different models of reimbursement,

741
00:46:56,000 --> 00:46:58,480
Speaker 3: different models, the way that we would do that is

742
00:46:58,480 --> 00:47:01,480
Speaker 3: by working with the key stakeholders, right the insurance companies,

743
00:47:01,560 --> 00:47:04,600
Speaker 3: the state and trying to see what models of care

744
00:47:05,080 --> 00:47:08,200
Speaker 3: can help others replicate this. So in twenty seventeen, we

745
00:47:08,200 --> 00:47:12,200
Speaker 3: were part of a pilot in Tennessee that was launched

746
00:47:13,000 --> 00:47:17,040
Speaker 3: to try to support implement a reimbursement model that would

747
00:47:17,120 --> 00:47:20,640
Speaker 3: let practices provide the type of care that we do

748
00:47:20,680 --> 00:47:25,640
Speaker 3: at lifetok and you know, focused on the patient and

749
00:47:25,719 --> 00:47:27,719
Speaker 3: everything that we need to coordinate for them, and so

750
00:47:27,760 --> 00:47:31,799
Speaker 3: that's been rolled out to now over eighty practices since

751
00:47:31,840 --> 00:47:35,680
Speaker 3: we spoke about it last and that they treat over

752
00:47:35,760 --> 00:47:40,439
Speaker 3: half a million people in Tennessee those pactices and those

753
00:47:40,480 --> 00:47:42,960
Speaker 3: are it's an example, I guess of what we mean

754
00:47:43,000 --> 00:47:44,880
Speaker 3: when we say that we're trying to use what we

755
00:47:44,960 --> 00:47:48,760
Speaker 3: do to sort of help guide the decision makers.

756
00:47:49,800 --> 00:47:54,000
Speaker 1: Again, it's really important that our listeners get that fifty

757
00:47:54,040 --> 00:47:59,560
Speaker 1: percent of the benefits created come from prevention and treatment

758
00:47:59,800 --> 00:48:03,879
Speaker 1: of chronic illnesses like hypertension, diabetes, and obesity. And it

759
00:48:03,920 --> 00:48:11,800
Speaker 1: is it is phenomenal that by treating early on, gathering

760
00:48:11,840 --> 00:48:17,240
Speaker 1: the data, studying the data, and putting together plans based

761
00:48:17,280 --> 00:48:21,000
Speaker 1: on that data, you have then gone into how to

762
00:48:21,200 --> 00:48:27,000
Speaker 1: best treat and prevent these diseases specific to this region.

763
00:48:28,040 --> 00:48:31,920
Speaker 1: But you can use the same model for region in

764
00:48:32,040 --> 00:48:34,120
Speaker 1: New Orleans. And that's poky.

765
00:48:34,680 --> 00:48:36,719
Speaker 2: That's the way that we are doing. The data that

766
00:48:36,760 --> 00:48:41,960
Speaker 2: we've been collected has been analyzed and in conjunction with

767
00:48:42,040 --> 00:48:45,439
Speaker 2: the University of Memphi, have been published, so any other

768
00:48:45,480 --> 00:48:48,960
Speaker 2: physicians can use our model validata model, but also can

769
00:48:49,080 --> 00:48:52,319
Speaker 2: use our results. So this is the reason most of

770
00:48:52,360 --> 00:48:56,719
Speaker 2: the most recent of most of our publications are in

771
00:48:56,760 --> 00:49:01,680
Speaker 2: conjunction with either University of Tennessee or University of Memphis.

772
00:49:01,800 --> 00:49:05,040
Speaker 2: So most of what we are heading now, how can

773
00:49:05,160 --> 00:49:07,840
Speaker 2: other people can replicate what we do? If in the

774
00:49:07,960 --> 00:49:11,640
Speaker 2: state is happy because we are producing saving because we

775
00:49:11,719 --> 00:49:15,600
Speaker 2: are fifty one percent less hospital admission, forty eight percent

776
00:49:15,760 --> 00:49:19,320
Speaker 2: less er utilization. Only we are making the patient healthier,

777
00:49:20,000 --> 00:49:23,680
Speaker 2: but also it's something that anybody can replicate and produce

778
00:49:23,680 --> 00:49:26,560
Speaker 2: similar outcomes. So this is where we are heading now,

779
00:49:26,600 --> 00:49:29,600
Speaker 2: this is where our expansion is going. How we can

780
00:49:29,719 --> 00:49:35,200
Speaker 2: develop a more human ethic, patient centered healthcare model that

781
00:49:35,400 --> 00:49:43,400
Speaker 2: focus on what is killing Memphis.

782
00:49:42,160 --> 00:49:43,160
Speaker 4: Will be right back.

783
00:49:54,120 --> 00:49:57,400
Speaker 3: When I when I think it's worth noting that the

784
00:49:58,600 --> 00:50:02,680
Speaker 3: reason that people need to sort of start caring about that,

785
00:50:02,880 --> 00:50:06,239
Speaker 3: like why should they care if we produce savings? Right

786
00:50:06,920 --> 00:50:14,160
Speaker 3: is because research is also shown that your health is

787
00:50:14,840 --> 00:50:17,040
Speaker 3: fifteen percent of your health is determined by the care

788
00:50:17,080 --> 00:50:21,600
Speaker 3: you get, only fifteen percent is determined by the quality

789
00:50:21,640 --> 00:50:24,759
Speaker 3: of the care that you get, twenty five percent is

790
00:50:24,800 --> 00:50:28,239
Speaker 3: genetics and other non modifiable factors, and sixty percent is

791
00:50:28,280 --> 00:50:31,920
Speaker 3: about your lifestyle and where you live, work and play right.

792
00:50:31,760 --> 00:50:34,400
Speaker 1: Which means three out of five things that determine our

793
00:50:34,440 --> 00:50:36,960
Speaker 1: health we can control if we just know how.

794
00:50:37,400 --> 00:50:41,160
Speaker 3: And you made an analogy earlier where you know, healthier

795
00:50:41,160 --> 00:50:45,560
Speaker 3: Memphis is more prosperous and safer, but the way that

796
00:50:45,600 --> 00:50:48,920
Speaker 3: healthcare works, that's sort of the other way around. For

797
00:50:49,080 --> 00:50:53,160
Speaker 3: Memphis to get healthy, we have to have a safer community.

798
00:50:53,440 --> 00:50:56,680
Speaker 3: So healthcare dollars need to be starting to get spent

799
00:50:57,280 --> 00:51:02,000
Speaker 3: in different ways than just treating people. Our approach. You know,

800
00:51:03,080 --> 00:51:06,760
Speaker 3: America has like an eight trillion dollar a year healthcare budget.

801
00:51:07,400 --> 00:51:10,400
Speaker 3: There's no other budget, you know, maybe the defense budget,

802
00:51:10,440 --> 00:51:14,279
Speaker 3: but the food industry, the education nobody has as much

803
00:51:14,280 --> 00:51:17,480
Speaker 3: of a budget as the healthcare industry does. And that

804
00:51:17,640 --> 00:51:20,560
Speaker 3: money is being spent in a way that it's not

805
00:51:20,680 --> 00:51:25,080
Speaker 3: really producing a healthier US. So what our goal is

806
00:51:25,080 --> 00:51:29,520
Speaker 3: is that, you know, can we produce safer communities with

807
00:51:29,600 --> 00:51:33,560
Speaker 3: better access to food, with better education, with all these

808
00:51:33,600 --> 00:51:38,680
Speaker 3: things that will lead to healthier Memphians, more prosperous Memphians.

809
00:51:39,520 --> 00:51:41,520
Speaker 3: Because you know, you've had a lot of speakers in

810
00:51:41,560 --> 00:51:45,840
Speaker 3: this podcast, right that have a lot of really great

811
00:51:45,920 --> 00:51:52,160
Speaker 3: work in different industries, and there's always a sort of

812
00:51:52,239 --> 00:51:55,200
Speaker 3: a competition around who has access to the resources to

813
00:51:55,239 --> 00:51:58,640
Speaker 3: support their work. And we need the healthcare industry to

814
00:51:58,719 --> 00:52:02,279
Speaker 3: sort of start lining up up with these organizations and

815
00:52:02,320 --> 00:52:04,759
Speaker 3: seeing that that's really the way that you're going to

816
00:52:04,920 --> 00:52:06,000
Speaker 3: build healthier community.

817
00:52:06,160 --> 00:52:08,720
Speaker 2: We try to prove to the industry that the saving

818
00:52:08,800 --> 00:52:12,360
Speaker 2: can be reinvested in the community to prevent diseases, No,

819
00:52:12,719 --> 00:52:15,759
Speaker 2: to treat more illness. So wait until you need the

820
00:52:15,800 --> 00:52:19,920
Speaker 2: bypass or the leg computation. We can prevent this earlier.

821
00:52:19,920 --> 00:52:23,520
Speaker 2: And this is where we are heading with the saving.

822
00:52:23,560 --> 00:52:26,239
Speaker 2: This is the conversation that we are moving forward with

823
00:52:26,320 --> 00:52:31,960
Speaker 2: the stay. Actually we probably have one of the uniqueness

824
00:52:32,040 --> 00:52:35,799
Speaker 2: and developing a neural version model that we choose to

825
00:52:35,840 --> 00:52:41,840
Speaker 2: become at risk. We want to prove actually the patient

826
00:52:41,920 --> 00:52:45,760
Speaker 2: the membership that he developed. The patient doesn't sign any contract,

827
00:52:46,360 --> 00:52:50,600
Speaker 2: they stay and the membership as loans they see value

828
00:52:50,960 --> 00:52:53,600
Speaker 2: and the mean stay of the patient and the membership

829
00:52:53,680 --> 00:52:56,759
Speaker 2: is three to five years. Okay. So, but also with

830
00:52:56,880 --> 00:52:59,320
Speaker 2: a state, we are willing to take full risk for

831
00:52:59,480 --> 00:53:02,680
Speaker 2: what we do. We are willing to prove that we

832
00:53:02,719 --> 00:53:05,239
Speaker 2: can produce saving in the patient a health you the

833
00:53:05,320 --> 00:53:10,040
Speaker 2: more you invest early in managing the risk of diseases,

834
00:53:10,840 --> 00:53:13,799
Speaker 2: there is more money for the companies and there is

835
00:53:13,840 --> 00:53:15,839
Speaker 2: more money for the men for the community.

836
00:53:16,480 --> 00:53:19,479
Speaker 1: One of my guests said this a few months ago,

837
00:53:19,560 --> 00:53:22,719
Speaker 1: and I've used it since a couple of times, but

838
00:53:22,840 --> 00:53:28,520
Speaker 1: it's appropriate here. You can stand by the river and

839
00:53:28,600 --> 00:53:32,319
Speaker 1: be heroic and pull drowning babies out of the water

840
00:53:32,400 --> 00:53:35,240
Speaker 1: all day long, but eventually you need to go upstream

841
00:53:35,280 --> 00:53:36,960
Speaker 1: and find out how they're getting the water in the

842
00:53:37,040 --> 00:53:37,600
Speaker 1: first place.

843
00:53:37,760 --> 00:53:41,040
Speaker 2: That's the solution. Looking for the solution, and this is

844
00:53:41,120 --> 00:53:44,319
Speaker 2: what we try to understand. What is predicting that we

845
00:53:44,440 --> 00:53:49,719
Speaker 2: become so sick. For instance, if you analyze Memphis data Memphis,

846
00:53:49,719 --> 00:53:54,920
Speaker 2: this is schildby county data, sixty sixty seven percent of

847
00:53:54,960 --> 00:53:59,840
Speaker 2: the people that die from diabetes is black. It's telling

848
00:54:00,200 --> 00:54:03,399
Speaker 2: that we are missing something. It's telling us that it's

849
00:54:03,400 --> 00:54:06,480
Speaker 2: not because they are black. It's because we probably have

850
00:54:06,640 --> 00:54:09,480
Speaker 2: not been measuring the disease and the way that they

851
00:54:09,520 --> 00:54:12,799
Speaker 2: need to be measured. We are implementing approach that our

852
00:54:12,960 --> 00:54:15,920
Speaker 2: general approach to the population, but we probably have not

853
00:54:16,000 --> 00:54:19,959
Speaker 2: been targeting dirt risk. So it's amazing how you see

854
00:54:20,000 --> 00:54:25,240
Speaker 2: that Memphis today is probably the city with the highest

855
00:54:25,280 --> 00:54:31,040
Speaker 2: percentage of black Seven of every ten Memphis are overweight

856
00:54:31,200 --> 00:54:34,680
Speaker 2: of abest thirty three percent are severely or abest or

857
00:54:34,719 --> 00:54:39,640
Speaker 2: severely abyes and we are there is not necessarily something

858
00:54:39,719 --> 00:54:42,160
Speaker 2: that that that we are trying to do as a

859
00:54:42,200 --> 00:54:45,279
Speaker 2: community to organize a movement that way, and this is

860
00:54:45,320 --> 00:54:47,799
Speaker 2: what we try to do. I mean, we want to

861
00:54:47,840 --> 00:54:51,160
Speaker 2: be part of something. We want to but the way

862
00:54:51,200 --> 00:54:56,200
Speaker 2: that we operate is basic results. I can spend most

863
00:54:56,200 --> 00:55:00,560
Speaker 2: of our resources if we see that there is are helping.

864
00:55:01,320 --> 00:55:05,560
Speaker 2: The model the livelog developed is based in three privacy

865
00:55:05,719 --> 00:55:09,680
Speaker 2: are we helping? We measured by outcomes? Can we escalate

866
00:55:10,719 --> 00:55:15,440
Speaker 2: is measure how we become from night in patients to

867
00:55:15,680 --> 00:55:18,360
Speaker 2: the amount of patient that we see now? And second,

868
00:55:19,000 --> 00:55:21,520
Speaker 2: can we be self sustained? So we won't be able

869
00:55:21,560 --> 00:55:23,960
Speaker 2: to go to Orange Mount and tell a physician you

870
00:55:24,000 --> 00:55:26,799
Speaker 2: can help this community. If we don't develop a self

871
00:55:26,800 --> 00:55:31,080
Speaker 2: sustained model that allows this physician to grow the practice

872
00:55:31,239 --> 00:55:35,399
Speaker 2: in a decent way, we won't develop something that will help.

873
00:55:35,440 --> 00:55:38,440
Speaker 2: If I need to become an fq A CEO or

874
00:55:38,480 --> 00:55:41,239
Speaker 2: a file one seed three to help people, No, and

875
00:55:41,680 --> 00:55:44,080
Speaker 2: LifeLock is the brew that we can work with. It

876
00:55:45,239 --> 00:55:50,600
Speaker 2: lowest rembursement insurance for the most underserved community. And we

877
00:55:50,640 --> 00:55:53,200
Speaker 2: are still driving and we're still impacting.

878
00:55:53,680 --> 00:55:56,400
Speaker 1: That's the way to end that life. Tackle is proven

879
00:55:56,680 --> 00:56:01,160
Speaker 1: you can work with the sickest, poorest people, receive the

880
00:56:01,239 --> 00:56:07,319
Speaker 1: littlest amount of reimbursement and create the best results. That

881
00:56:07,480 --> 00:56:15,160
Speaker 1: is a phenomenal legacy to our city and all from

882
00:56:15,239 --> 00:56:18,759
Speaker 1: a deal you made with God because you wanted to

883
00:56:18,800 --> 00:56:26,520
Speaker 1: make sure your son survived. What a phenomenal story, Pedro

884
00:56:26,760 --> 00:56:31,280
Speaker 1: Alesquez and Pedro Alesque was. Somehow yours has a dash

885
00:56:31,320 --> 00:56:33,799
Speaker 1: on it. I don't understand what that is. Is that right?

886
00:56:33,800 --> 00:56:36,880
Speaker 3: Probably because there was uh Rodriguez after it.

887
00:56:36,920 --> 00:56:39,240
Speaker 1: I got it.

888
00:56:38,080 --> 00:56:38,279
Speaker 3: We have.

889
00:56:39,360 --> 00:56:45,200
Speaker 1: So we've got doctor Pedro Alesquz and Director Pedro Alesquez

890
00:56:45,320 --> 00:56:52,520
Speaker 1: Junior in Memphis changing the way medicine is thought about

891
00:56:52,880 --> 00:56:57,640
Speaker 1: and focusing on treatment and summed up the best way possible,

892
00:56:58,200 --> 00:57:02,920
Speaker 1: treating the most difficult patients to treat, receiving the least

893
00:57:02,960 --> 00:57:07,640
Speaker 1: reimbursement and being the most successful because of a data

894
00:57:07,719 --> 00:57:13,160
Speaker 1: driven approach toward understanding the demographic of the group you're

895
00:57:13,200 --> 00:57:17,240
Speaker 1: trying to serve and fitting medicine to their needs. And

896
00:57:17,360 --> 00:57:22,280
Speaker 1: now having created a scalable model, if somebody wants to

897
00:57:22,320 --> 00:57:25,680
Speaker 1: reach out and hear more, maybe there's a doctor in

898
00:57:25,720 --> 00:57:28,440
Speaker 1: Oklahoma City right now. That says I want to know more.

899
00:57:29,200 --> 00:57:30,600
Speaker 1: How do they find you? Guys?

900
00:57:31,480 --> 00:57:34,760
Speaker 3: You know email, phone numbers.

901
00:57:34,560 --> 00:57:36,800
Speaker 1: Email you? How do they email you?

902
00:57:37,160 --> 00:57:38,360
Speaker 3: Do you want me to just say it or do

903
00:57:38,360 --> 00:57:40,200
Speaker 3: you want to give you give me your email? It's

904
00:57:40,560 --> 00:57:42,560
Speaker 3: pa Velaskaz.

905
00:57:42,320 --> 00:57:46,360
Speaker 1: Okay, you got it? Actually Velaskaz p A V E

906
00:57:46,560 --> 00:57:48,760
Speaker 1: l A s quea z.

907
00:57:49,360 --> 00:57:51,280
Speaker 3: At Lifetock Health dot org.

908
00:57:51,520 --> 00:57:53,320
Speaker 1: At Lifetock Health dot organ.

909
00:57:53,440 --> 00:57:56,200
Speaker 3: I gotta believe I want to put up there if.

910
00:57:56,160 --> 00:58:03,160
Speaker 1: I gotta believe, if if somebody reached out, you would

911
00:58:03,200 --> 00:58:06,000
Speaker 1: be more than happy to share with them anything. Because

912
00:58:06,160 --> 00:58:09,480
Speaker 1: the other cool part of the story is from the

913
00:58:09,520 --> 00:58:13,360
Speaker 1: hospital that saved you, you've adopted their beliefs set that

914
00:58:14,440 --> 00:58:16,840
Speaker 1: what we learned we share, and when we share, we

915
00:58:16,880 --> 00:58:17,720
Speaker 1: make a better world.

916
00:58:18,240 --> 00:58:20,560
Speaker 3: And we're only here because of we were the people

917
00:58:20,600 --> 00:58:22,720
Speaker 3: that used to make calls to see how can we

918
00:58:22,800 --> 00:58:24,560
Speaker 3: and what do we do well? We are still the

919
00:58:24,600 --> 00:58:26,919
Speaker 3: people we knock on doors. And one of the cool

920
00:58:27,000 --> 00:58:29,320
Speaker 3: things about Memphis is that it doesn't really matter whose

921
00:58:29,320 --> 00:58:32,240
Speaker 3: door you knock on. Everyone's always willing to talk and

922
00:58:32,320 --> 00:58:34,760
Speaker 3: lend a helping hand or point you in the right direction.

923
00:58:34,920 --> 00:58:37,000
Speaker 3: So yeah, if people call or email. We're going to

924
00:58:37,600 --> 00:58:40,440
Speaker 3: answer the same that people have entered our calls and emails.

925
00:58:40,760 --> 00:58:47,360
Speaker 2: If that is also more medical provider inter they can

926
00:58:47,440 --> 00:58:53,160
Speaker 2: go to public and search life dooc model we publish

927
00:58:53,280 --> 00:58:56,400
Speaker 2: and even the coach that the model what we do

928
00:58:57,080 --> 00:59:00,960
Speaker 2: our outcome has been published by University of Memphis. So

929
00:59:01,280 --> 00:59:06,000
Speaker 2: our inal research to impact the epidemic also have been

930
00:59:06,000 --> 00:59:10,040
Speaker 2: published a major journal. Okay, so we want to be approached.

931
00:59:10,080 --> 00:59:14,160
Speaker 2: We want something that we are interested is how we

932
00:59:14,240 --> 00:59:18,200
Speaker 2: can attract talented physician to Memphis. How we can attract

933
00:59:18,240 --> 00:59:21,800
Speaker 2: people that is interesting and serving the community. And this

934
00:59:21,960 --> 00:59:24,920
Speaker 2: year that we are helping people. So I hope that

935
00:59:25,000 --> 00:59:29,680
Speaker 2: this podcast can help us to spread the message the

936
00:59:29,720 --> 00:59:35,040
Speaker 2: MEMPHISI is great to drive, regardless what we hear about Memphis.

937
00:59:35,880 --> 00:59:39,440
Speaker 2: Memphis have a uniqueness that they tend to adopt you

938
00:59:39,600 --> 00:59:42,200
Speaker 2: if they know that you are helping them. Okay, it's

939
00:59:42,280 --> 00:59:45,880
Speaker 2: a relatively easy city to be two love it and

940
00:59:46,040 --> 00:59:49,080
Speaker 2: we are the proof. We are four generations and every

941
00:59:49,120 --> 00:59:52,680
Speaker 2: single child of my child has been impacting Memphis and

942
00:59:52,760 --> 00:59:54,760
Speaker 2: their business and they are committed to this.

943
00:59:55,600 --> 01:00:01,840
Speaker 1: From Venezuela to Boston, back to venezuel who found Memphis

944
01:00:01,840 --> 01:00:06,320
Speaker 1: with a sick child and who found an amazing purpose

945
01:00:06,400 --> 01:00:10,600
Speaker 1: with a healed child now changing lives in our city

946
01:00:11,440 --> 01:00:15,560
Speaker 1: and data points in a plan that can change lives

947
01:00:15,680 --> 01:00:21,160
Speaker 1: across our country. Pedro, Pedro, amazing story. Thank you so

948
01:00:21,240 --> 01:00:25,120
Speaker 1: much for joining us, and and I can't wait to

949
01:00:25,160 --> 01:00:27,480
Speaker 1: see what you guys do over the next five or

950
01:00:27,480 --> 01:00:29,640
Speaker 1: ten years, because it doesn't look like you're going to

951
01:00:29,720 --> 01:00:34,040
Speaker 1: sleep on what you've done because of a particular word

952
01:00:34,120 --> 01:00:37,720
Speaker 1: that your family seems to hold, dear and deer commitment.

953
01:00:37,840 --> 01:00:41,680
Speaker 2: We seem to be passionate. Everybody is interrecting because sometimes

954
01:00:41,960 --> 01:00:46,920
Speaker 2: when we get together it's like a board meeting. What

955
01:00:47,000 --> 01:00:49,120
Speaker 2: are we going to do? At some point? He said,

956
01:00:49,160 --> 01:00:51,640
Speaker 2: we need to talk in another thing that won't be business,

957
01:00:52,040 --> 01:00:56,439
Speaker 2: because he's everybody. He's passionately about what aspect off the health.

958
01:00:56,920 --> 01:00:58,760
Speaker 1: Passionately committed guys.

959
01:00:58,800 --> 01:01:01,760
Speaker 3: Thanks for joining me, Thank you and appreciate it.

960
01:01:01,800 --> 01:01:13,960
Speaker 1: Bill, and thank you for joining us this week. If

961
01:01:14,000 --> 01:01:17,680
Speaker 1: the two Pedros or other guests have inspired you in general,

962
01:01:17,920 --> 01:01:21,520
Speaker 1: or better yet, by reaching out to lifetoc Health about

963
01:01:21,520 --> 01:01:24,880
Speaker 1: their research, seeking to create something like it in your

964
01:01:24,920 --> 01:01:30,200
Speaker 1: own community, donating to them, or something else entirely, please

965
01:01:30,280 --> 01:01:33,280
Speaker 1: let me know I'd love to hear about it. If

966
01:01:33,320 --> 01:01:37,520
Speaker 1: you write me at Bill at normalfolks dot us, I

967
01:01:37,600 --> 01:01:41,040
Speaker 1: will respond. And if you enjoyed this episode, please do

968
01:01:41,120 --> 01:01:44,240
Speaker 1: me a favor. Share it with friends. Each of you

969
01:01:44,920 --> 01:01:49,160
Speaker 1: share this story with three friends. Share it on social,

970
01:01:49,680 --> 01:01:54,640
Speaker 1: Subscribe to the podcast, rate it, review it, Join the

971
01:01:54,840 --> 01:01:59,200
Speaker 1: army at normalfolks dot us. Consider becoming a premium member.

972
01:01:59,240 --> 01:02:02,240
Speaker 1: There any and all of these things that can help

973
01:02:02,320 --> 01:02:06,840
Speaker 1: us grow an army of normal folks. Thanks to our producer,

974
01:02:06,920 --> 01:02:09,920
Speaker 1: Iron Light Labs, I'm Bill Corney. I will see you

975
01:02:09,920 --> 01:02:10,360
Speaker 1: next week.