WEBVTT - Exploring Life-Saving AI Tech with T-Mobile for Business

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<v Speaker 1>Pushkin. This episode is a paid partnership with T Mobile

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<v Speaker 1>for Business. Hello, Hello, Malcolm Glabel. Here today. I wanted

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<v Speaker 1>to share a very special conversation I had recently hosted

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<v Speaker 1>by my good friends at T Mobile for Business about

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<v Speaker 1>how AI is changing our world. My guests are oh Kattaba,

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<v Speaker 1>the CMO of T Mobile for Business, doctor Azizi Satias,

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<v Speaker 1>chair of the Department of Informatics and Health Data Science

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<v Speaker 1>at the University of Miami Miller's School of Medicine, and

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<v Speaker 1>Ryan Litt, COO and co founder of three AM Innovations.

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<v Speaker 2>MO.

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<v Speaker 1>I know from years ago when we had a fascinating

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<v Speaker 1>conversation about five G when that technology was in its infancy.

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<v Speaker 1>Brian is from Buffalo and we shared a deep affection

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<v Speaker 1>for the Buffalo Bills. And as Easy as will soon

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<v Speaker 1>be obvious is Jamaica, which of course is the surest

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<v Speaker 1>way to my heart. Anyway, we talked about some really

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<v Speaker 1>cool applications of AI and five G and the way

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<v Speaker 1>really smart people like Ryan and as Easy are using

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<v Speaker 1>these technologies to solve some pretty hard and fascinating problems.

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<v Speaker 1>Thank you. Hey everyone, we're all wearing our Should we

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<v Speaker 1>just put our I know this is a podcast. You

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<v Speaker 1>can't see it, but we're all wearing T mobile sneakers

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<v Speaker 1>right now. I see two of us have got the

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<v Speaker 1>Air Forces and then the others se converse converse. Yeah,

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<v Speaker 1>so we're all representing the brand. I think very effective

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<v Speaker 1>to hear. So we're here to talk about AI and

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<v Speaker 1>five G. But what we're really here to talk about

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<v Speaker 1>is something much simpler and more important than that is

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<v Speaker 1>problem solve Right. All of you guys are people who

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<v Speaker 1>basically solve problems for a living, and I wanted to

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<v Speaker 1>start there, and maybe Ryan, you could kick us off,

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<v Speaker 1>tell us a little bit about what you do, but

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<v Speaker 1>then tell us about the problem you're trying to solve.

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<v Speaker 3>Sure.

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<v Speaker 2>So, when we think about emergency events and really at

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<v Speaker 2>the majority of the world, the primary tool set that

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<v Speaker 2>firefighters use is a radio to communicate their status to

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<v Speaker 2>the outside operation. And I'm sure we can all imagine, however,

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<v Speaker 2>you know, winding hallways, dense forests, black smoke, falling debris,

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<v Speaker 2>pretty reasonable to expect that people can become disoriented, They

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<v Speaker 2>can be a bit confused, and the issue for a

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<v Speaker 2>firefighters when they're confused, inherently so is the rest of

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<v Speaker 2>the operation.

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<v Speaker 1>Yeah, wait before you go on, tell us a little

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<v Speaker 1>bit about how how is it you landed in this

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<v Speaker 1>particular world. Why is it you're thinking about this problem

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<v Speaker 1>of the disorientation of the of the firefighter.

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<v Speaker 2>Well, you know, ultimately when there's confusion, it ultimately leads

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<v Speaker 2>to injury and sometimes death. So the true inspiration to

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<v Speaker 2>our origin is in Buffalo, New York, there was a

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<v Speaker 2>convenience store that was on fire, and you know, upon arrival,

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<v Speaker 2>firefighters quickly got to trying to put out the fire.

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<v Speaker 2>But the firefighter, the fire itself moved faster, so they

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<v Speaker 2>had to call an evacuation pull everybody out, but they

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<v Speaker 2>were unsure if everybody got out, so they assigned a

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<v Speaker 2>team to go sweep the facility to try to rescue

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<v Speaker 2>anybody remaining, and unfortunately the structure.

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<v Speaker 4>Collapsed over top of them and killed them both. And

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<v Speaker 4>when was this go ahead? Two thousand and nine.

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<v Speaker 2>Yeah, And to make matters worse, there was nobody inside.

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<v Speaker 2>They were just unsure. And so for us, it's no

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<v Speaker 2>slight against them, but we just feel like they deserve

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<v Speaker 2>better tools. There has to be more than what they

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<v Speaker 2>have that rate. No slide against the radio either, but

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<v Speaker 2>all of us are here because technology is flush in

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<v Speaker 2>many other places and our belief as they deserve to

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<v Speaker 2>have it too.

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<v Speaker 1>Tell us how that company starts. Does it arise out

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<v Speaker 1>of that particular incident, or I'm just curious about how

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<v Speaker 1>you kind of evolved to the point where you were

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<v Speaker 1>looking for solutions to that problem.

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<v Speaker 3>Yees.

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<v Speaker 2>So I mean that event was in two thousand and nine.

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<v Speaker 2>We officially started in twenty seventeen, so there's a time

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<v Speaker 2>and distance between those two things. My co founder Patrick

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<v Speaker 2>is a volunteer firefighter, and he was constantly educated that

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<v Speaker 2>if career firefighters, which to be clear for everybody, they

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<v Speaker 2>are getting paid and work as a firefighter every day,

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<v Speaker 2>but volunteers typically have a day job and then they

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<v Speaker 2>get called to an emergency event in the middle of it.

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<v Speaker 2>So the message was, if the career people can make mistakes,

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<v Speaker 2>we're definitely going to be prone to making mistakes, so

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<v Speaker 2>let's learn from this. And so Patrick kind of lived

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<v Speaker 2>with for years in education and felt, come on, I

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<v Speaker 2>got this iPhone in my pocket, there's got to be

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<v Speaker 2>something more. And finally, by twenty seventeen, technology seemed to

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<v Speaker 2>go in a place that made sense, and he had

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<v Speaker 2>to find a partner to help him do it, and

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<v Speaker 2>that's why we ended up pursuing it from there. So

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<v Speaker 2>our original intent was to build technology to help them

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<v Speaker 2>in these emergency events. The hard part, though, is an

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<v Speaker 2>emergency is inherently chaotic, unpredictable, right, and all of a

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<v Speaker 2>sudden we think, Okay, we're just going to repurpose technology

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<v Speaker 2>that already exists and afford it to the fire service. Instead,

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<v Speaker 2>we're at the edge of technology, actually pushing on capabilities that,

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<v Speaker 2>according to colleagues and people that we worked with in

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<v Speaker 2>NASA and DHS, didn't exist. So for example, like tracking

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<v Speaker 2>someone's location when they are GPS denied, you know, helping

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<v Speaker 2>communication to be shared when you were communication denied.

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<v Speaker 4>It turned out that not many.

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<v Speaker 2>People around the world were doing it, and at which

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<v Speaker 2>point were we said, oh, this is going to be

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<v Speaker 2>a lot more of a difficult endeavor than we had anticipated.

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<v Speaker 4>So that's the origin of why we're here, is there.

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<v Speaker 1>This is all super interesting and I want to come

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<v Speaker 1>back in more detail after we've gone down the pen

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<v Speaker 1>a little bit. But one thing I wanted to talk

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<v Speaker 1>to you to talk about just a little bit, so

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<v Speaker 1>we understand this. When you have a kind of fire

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<v Speaker 1>that's out of control. The specific issue that you were

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<v Speaker 1>trying to solve is that once someone a firefighter, entered

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<v Speaker 1>the facility, you lost track of where that person was, right,

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<v Speaker 1>and there was no existing system in place that would

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<v Speaker 1>allow you to easily track that person.

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<v Speaker 4>Correct.

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<v Speaker 1>Yeah, And is it because of the the Is it

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<v Speaker 1>because the fire had destroyed any kind of infrastructure that

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<v Speaker 1>might make that possible, or is it just I mean

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<v Speaker 1>was why is what's particularly hard about about tracking someone

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<v Speaker 1>in the middle of a burning building?

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<v Speaker 2>Well, circumstantially, it wasn't necessarily the case that comms are

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<v Speaker 2>necessarily completely blown out. Not always the case, because sometimes

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<v Speaker 2>the radio system continues to function. There are so many

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<v Speaker 2>dynamics to the situation that for you to give someone

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<v Speaker 2>a tool that you say universally will help you is

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<v Speaker 2>a very precarious undertaking.

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<v Speaker 5>Right.

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<v Speaker 2>You have to handle in a large structure like we're

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<v Speaker 2>in now, in a small structure in a suburban area,

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<v Speaker 2>in remote areas and wildland fires and such, right, And

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<v Speaker 2>it has to work on all of those places in

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<v Speaker 2>order to work for a firefighter, because the modern firefighter

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<v Speaker 2>experiences so much right, so, you know, chasing those problems fundamentally.

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<v Speaker 4>Difficult, a lot of data, a lot of.

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<v Speaker 2>Error, right, and you know you push hard to make

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<v Speaker 2>sure that it's purpose built. So I think this is

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<v Speaker 2>where the AI portion of our discussions makes sense.

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<v Speaker 3>Right.

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<v Speaker 2>It can help to interpret a lot of inputs and

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<v Speaker 2>give us some simple surfacings and understandings that we can

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<v Speaker 2>leverage from there.

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<v Speaker 1>Yeah, well, I want you to respond to Ryan. And

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<v Speaker 1>I'm curious whether did you when you when you when

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<v Speaker 1>you started on this road, did you imagine you'll be

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<v Speaker 1>having conversations with people like Ryan.

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<v Speaker 3>I was certainly hopeful.

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<v Speaker 6>Being able to serve the first responder community is such

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<v Speaker 6>an important undertaking, you know, every single day to protect

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<v Speaker 6>you and me, our families, our communities. And you know,

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<v Speaker 6>from a te mobile for business perspective, how can we

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<v Speaker 6>take this incredible best in the nation five G network

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<v Speaker 6>and how can we harness some very specific capabilities to

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<v Speaker 6>bring to life a solution that serves the first responder community?

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<v Speaker 6>And you know, companies like Ryan's three a M. And

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<v Speaker 6>just a few weeks ago now we launched what we

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<v Speaker 6>call ty Priority, which brings not just the network which

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<v Speaker 6>has forty percent more capacity, which means more firefighters and

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<v Speaker 6>police and ems showing up at a location, are able

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<v Speaker 6>to get on the network and do what they need

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<v Speaker 6>to do. But then something that we call a slice,

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<v Speaker 6>which is really a fancy technology term, which is, hey,

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<v Speaker 6>can we create the a traffic cop if you will,

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<v Speaker 6>a capability that as first responders are getting on the

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<v Speaker 6>network that not only gives them the access to the network,

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<v Speaker 6>priority access and then preemption access to essentially bump if

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<v Speaker 6>you will, a commercial user off of the network, and

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<v Speaker 6>that's been around for four, five, six, seven years at

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<v Speaker 6>this point, but can we give them the ability then

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<v Speaker 6>to manage that traffic and dynamically allocate the amount of

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<v Speaker 6>capacity on the network to the first responders so that

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<v Speaker 6>in these sorts of scenarios where extreme congestion can be

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<v Speaker 6>a current, you know, like a trained railment or a

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<v Speaker 6>massive natural disaster, et cetera, that we can essentially give

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<v Speaker 6>up to one hundred percent of the network over to

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<v Speaker 6>the first responders so that they can save lives.

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<v Speaker 1>Yeah, I want to return to that, but I want

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<v Speaker 1>to talk a little bit too. As easy you are

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<v Speaker 1>tell us what you tell us your title of your job.

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<v Speaker 5>So I currently serve as an interim chair for the

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<v Speaker 5>Department of informatics and health data science, and I'm the

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<v Speaker 5>phone and director of the Media and Innovation Lab, and

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<v Speaker 5>I co lead a sleep on circadian science, and I

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<v Speaker 5>lead Population health Informatics. So, not to be funny, but

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<v Speaker 5>as a Jamaican we're known from multiple jobs. And yes,

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<v Speaker 5>this is at the University of It is at the

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<v Speaker 5>University of Miami. But you're a doctor by I'm PhD.

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<v Speaker 5>I'm a clinical psychologist. But I lead many off the

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<v Speaker 5>efforts at the university to lead digital transformation. And so

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<v Speaker 5>I was recruited from an another large institution when I

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<v Speaker 5>was at NYU School of Medicine to lead this effort

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<v Speaker 5>at the University of Miami. And the reason why it's

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<v Speaker 5>important is because the University of Miami really serves as

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<v Speaker 5>the academic epicenter of the Southeast, particularly in Florida, and

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<v Speaker 5>Miami in particular is really considered the gateway to the

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<v Speaker 5>global South. For those of you are not familiar, the

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<v Speaker 5>global SETH represents eighty percent of the world's population, yet

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<v Speaker 5>as a euphemism, they're oftentimes seen as the poorest, less resource,

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<v Speaker 5>particularly in healthcare. And so I was brought to lead

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<v Speaker 5>that effort to create models that would be able to

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<v Speaker 5>serve not just South Florida, but how it could be

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<v Speaker 5>translated to similar socio economic deprived communities throughout Florida and

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<v Speaker 5>then use it as a model to really do this

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<v Speaker 5>in the global South.

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<v Speaker 1>You at what point during your career did you realize

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<v Speaker 1>that what you wanted to do is use technology to

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<v Speaker 1>solve problems. I mean, you have a PhD in clinical psychology.

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<v Speaker 1>You're not looking at AI and five G when you're

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<v Speaker 1>doing a PhD.

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<v Speaker 3>Well, you know, so, great question.

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<v Speaker 5>So when I realized that technology was important was when

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<v Speaker 5>I realized that many of the most vexing health care

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<v Speaker 5>challenges that we saw in my own family, my grandmother

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<v Speaker 5>who raised me, and we realized that there was just

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<v Speaker 5>significant lack of resources. She had insurance, but what we

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<v Speaker 5>saw was a significant gap in the continuity of care.

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<v Speaker 5>And extrapolate in her experience to what I see when

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<v Speaker 5>I go to barbershops, beauty salons, and faith based organizations.

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<v Speaker 5>Because we're one of those folks who we like to

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<v Speaker 5>be in the community that we don't believe in this

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<v Speaker 5>sterile brick on mortar healthcare because we believe healthcare needs

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<v Speaker 5>to be more And what we found out was that

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<v Speaker 5>in order for us to meet the challenges that our

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<v Speaker 5>nation and our globe sees that we either need to

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<v Speaker 5>train a whole lot more healthcare practitioners, which we still

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<v Speaker 5>need to do, but that was not going to be

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<v Speaker 5>sufficient to close that gap in good time. So what

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<v Speaker 5>we realized was that technology, though it is not a

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<v Speaker 5>panacea that can cure all, was going to be the

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<v Speaker 5>means by which we were going to be able to

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<v Speaker 5>one provide the care that so many people desperately need,

0:13:42.276 --> 0:13:47.236
<v Speaker 5>but also to provide adjunctive and supportive and augmentive care

0:13:47.476 --> 0:13:51.076
<v Speaker 5>to healthcare provide us. And so technology became the means

0:13:51.116 --> 0:13:54.196
<v Speaker 5>by which it would allow us to really extend our

0:13:54.276 --> 0:13:59.116
<v Speaker 5>tentacles into places beyond that we thought were unimaginable.

0:13:59.396 --> 0:14:01.956
<v Speaker 1>It gives a specific example, yeah, of a moment where

0:14:01.996 --> 0:14:05.116
<v Speaker 1>you realized, oh, this is a NOTT we can only

0:14:05.156 --> 0:14:07.076
<v Speaker 1>crack with technology.

0:14:07.156 --> 0:14:10.556
<v Speaker 5>Yes, So we created our own remote health monitor and

0:14:10.636 --> 0:14:15.636
<v Speaker 5>solution called the Mailbox, and we were funded to do

0:14:15.756 --> 0:14:20.636
<v Speaker 5>some really novel research looking at cardiovascular health in urban

0:14:20.716 --> 0:14:25.836
<v Speaker 5>and rural areas. And so, like most scientists, we don't

0:14:25.876 --> 0:14:29.836
<v Speaker 5>care about you know, accolades per se. We just wanted

0:14:29.836 --> 0:14:31.916
<v Speaker 5>to do the work and we did the work, and

0:14:31.956 --> 0:14:36.076
<v Speaker 5>then COVID happened, and we went into someone's home because

0:14:36.076 --> 0:14:37.996
<v Speaker 5>we would typically send out technicians.

0:14:38.156 --> 0:14:39.236
<v Speaker 3>And I remember.

0:14:39.156 --> 0:14:41.956
<v Speaker 5>Because she's part of our study, and because of hypo compliance,

0:14:41.996 --> 0:14:44.396
<v Speaker 5>I can't say her name, but we'll call her Miss Jones.

0:14:45.116 --> 0:14:48.796
<v Speaker 5>Miss Jones is a sixty year old African American woman

0:14:49.116 --> 0:14:53.156
<v Speaker 5>lives in Brooklyn, and we call her Miss Jones. Such

0:14:53.196 --> 0:14:55.276
<v Speaker 5>and such will be coming down there to do the study.

0:14:55.316 --> 0:14:57.996
<v Speaker 5>And she said, Hey, honey, you ain't coming here at

0:14:57.996 --> 0:15:01.116
<v Speaker 5>all because I ain't trying to get the RONA. And

0:15:01.196 --> 0:15:06.236
<v Speaker 5>that allowed us to realize that how can we flip it?

0:15:06.796 --> 0:15:10.156
<v Speaker 5>And that's what really spurred us into action quickly to

0:15:10.276 --> 0:15:14.396
<v Speaker 5>create a remote health monitor and solution, knowing very well

0:15:14.556 --> 0:15:18.676
<v Speaker 5>that it can be used for people. It's oftentimes said

0:15:19.196 --> 0:15:21.716
<v Speaker 5>that since twenty sixteen, they're about one hundred and forty

0:15:21.836 --> 0:15:27.516
<v Speaker 5>million emergency department visits and they're about sixty percent of

0:15:27.676 --> 0:15:31.396
<v Speaker 5>global deaths that can be attributed to non communicable diseases

0:15:31.476 --> 0:15:34.756
<v Speaker 5>like cardive metabolic health. And what are the biggest drivers

0:15:34.796 --> 0:15:40.156
<v Speaker 5>of that? No healthcare right and people don't have access.

0:15:40.436 --> 0:15:42.436
<v Speaker 5>So when we went to someone like Miss Jones and

0:15:42.476 --> 0:15:45.236
<v Speaker 5>what we've seen beer out in our studies and what

0:15:45.276 --> 0:15:45.796
<v Speaker 5>we've seen.

0:15:46.076 --> 0:15:48.956
<v Speaker 3>We've seen another woman who she lives.

0:15:48.756 --> 0:15:52.156
<v Speaker 5>In government housing in Florida and she would always go

0:15:52.236 --> 0:15:56.196
<v Speaker 5>to her landlord because she had these respiratory illnesses and

0:15:56.636 --> 0:15:59.356
<v Speaker 5>the landlord will push her aside and said, no, nothing

0:15:59.396 --> 0:16:01.756
<v Speaker 5>is wrong. You're trying to evade pain your rent. And

0:16:01.796 --> 0:16:03.836
<v Speaker 5>she's like, no, there's something wrong with you. You need

0:16:03.876 --> 0:16:06.956
<v Speaker 5>to change something. And she was part of our study

0:16:07.436 --> 0:16:10.316
<v Speaker 5>and we have as part of our remote health monitoring

0:16:10.396 --> 0:16:13.396
<v Speaker 5>solution and air quality device and she was able to

0:16:13.556 --> 0:16:16.476
<v Speaker 5>use that to show to her landlord that there is

0:16:16.556 --> 0:16:19.396
<v Speaker 5>something significantly wrong in terms of mold.

0:16:19.876 --> 0:16:20.756
<v Speaker 3>And so look at this.

0:16:21.556 --> 0:16:25.036
<v Speaker 5>Many of us live in environments that we just trust

0:16:25.556 --> 0:16:28.356
<v Speaker 5>that it has the right environment, it has.

0:16:28.116 --> 0:16:30.636
<v Speaker 3>Everything, even if you have health care.

0:16:31.436 --> 0:16:33.356
<v Speaker 5>And what we want to be able to do is

0:16:33.396 --> 0:16:36.996
<v Speaker 5>to put a wearable on the environment, put a wearable

0:16:36.996 --> 0:16:41.116
<v Speaker 5>on individuals, and it is facilitated through technology so that

0:16:41.196 --> 0:16:44.076
<v Speaker 5>we can quantify, so that we can show and prove

0:16:44.396 --> 0:16:47.716
<v Speaker 5>so that we can further empower our patients. That's just

0:16:47.796 --> 0:16:50.716
<v Speaker 5>one example. There's another example as well, and one other

0:16:50.796 --> 0:16:54.836
<v Speaker 5>woman who lives in a rural area in Florida, and

0:16:54.956 --> 0:16:57.996
<v Speaker 5>went to the physician like most of us, and we

0:16:58.116 --> 0:17:01.116
<v Speaker 5>get all of these print outs on our lab work

0:17:01.156 --> 0:17:03.036
<v Speaker 5>and we don't know what they mean. Let's be real

0:17:03.756 --> 0:17:08.316
<v Speaker 5>and not not to knock on my colleagues, but you

0:17:08.436 --> 0:17:12.156
<v Speaker 5>will be very lucky if someone goes through with you

0:17:12.316 --> 0:17:16.316
<v Speaker 5>what each measurement means. Right, So this is what happened.

0:17:16.876 --> 0:17:19.836
<v Speaker 5>This woman went to her provider and the provider said,

0:17:20.156 --> 0:17:22.916
<v Speaker 5>I think something is up with your heart. Something is

0:17:22.996 --> 0:17:24.796
<v Speaker 5>up with your heart. Now, this is a woman who

0:17:24.796 --> 0:17:27.636
<v Speaker 5>works two jobs, has three kids, so she was like,

0:17:27.636 --> 0:17:29.556
<v Speaker 5>what should I do? Well, you should go ahead and

0:17:29.596 --> 0:17:33.316
<v Speaker 5>see a cardiologist. Didn't provide the necessary handoff at all.

0:17:34.076 --> 0:17:36.836
<v Speaker 5>And so here is it that we dropped the ball

0:17:37.036 --> 0:17:39.876
<v Speaker 5>as a community that this lady just went off and

0:17:39.956 --> 0:17:41.956
<v Speaker 5>just said, well, I guess something is wrong with my heart.

0:17:42.116 --> 0:17:44.076
<v Speaker 5>You know, we'll see I'll go to the er, which

0:17:44.076 --> 0:17:46.996
<v Speaker 5>is why we have so many er visits. And so

0:17:47.156 --> 0:17:49.236
<v Speaker 5>what she was able to do by wearing one of

0:17:49.276 --> 0:17:52.956
<v Speaker 5>our rings, she called us angry. She said, doctor Sashas

0:17:53.796 --> 0:17:57.956
<v Speaker 5>your device is waking me up every ten minutes, I

0:17:57.996 --> 0:18:01.036
<v Speaker 5>don't want to be part of your study anymore. When

0:18:01.076 --> 0:18:04.076
<v Speaker 5>we looked at our command center and we saw what

0:18:04.116 --> 0:18:07.596
<v Speaker 5>was happening. These lady oxygen levels were dropping below eighty

0:18:07.676 --> 0:18:11.956
<v Speaker 5>percent critical. So what we ended up doing we said,

0:18:12.156 --> 0:18:14.076
<v Speaker 5>you know what, we don't care about health care and

0:18:14.156 --> 0:18:17.556
<v Speaker 5>insurance right now, we have a study physician. We connected

0:18:17.556 --> 0:18:20.116
<v Speaker 5>her and she was able to see a cardiologist in

0:18:20.196 --> 0:18:23.516
<v Speaker 5>no time. She called us crying, saying thank you very

0:18:23.636 --> 0:18:28.476
<v Speaker 5>much because if she hadn't gotten that intervention, she probably

0:18:28.476 --> 0:18:31.116
<v Speaker 5>would have died, and she should have left her kids orphans.

0:18:31.436 --> 0:18:33.436
<v Speaker 5>This is what we've seen black and brown families all

0:18:33.436 --> 0:18:36.036
<v Speaker 5>the time. It's not just a healthcare issue. She had

0:18:36.076 --> 0:18:39.516
<v Speaker 5>health care, but are we able to connect the dots

0:18:39.516 --> 0:18:42.516
<v Speaker 5>and we believe through technology we can have a physical

0:18:42.516 --> 0:18:43.156
<v Speaker 5>in a box.

0:18:43.036 --> 0:18:43.516
<v Speaker 3>To do with her.

0:18:43.996 --> 0:18:45.836
<v Speaker 1>I want to come back to Ryaneah the same question.

0:18:46.236 --> 0:18:49.916
<v Speaker 1>Let's talk about the technology here. Yeah, you gave her

0:18:49.916 --> 0:18:52.996
<v Speaker 1>a ring. Yeah, like a describe this?

0:18:53.116 --> 0:18:55.716
<v Speaker 5>Yeah, I mean yeah, I mean I have the ring here.

0:18:55.756 --> 0:19:00.276
<v Speaker 5>But it's a ring that measures what we call cardiopulmonary coupling.

0:18:59.956 --> 0:19:01.756
<v Speaker 3>Big terms, here's what it means.

0:19:02.396 --> 0:19:08.596
<v Speaker 5>Typically, what happens is your respiratory system, your lungs operate

0:19:08.796 --> 0:19:12.596
<v Speaker 5>in conjunction with their circuit ury system your heart. What

0:19:12.836 --> 0:19:17.596
<v Speaker 5>ends up happening in between that. Physiology is so many things,

0:19:17.636 --> 0:19:20.276
<v Speaker 5>and that's where we believe many of the illnesses that

0:19:20.356 --> 0:19:24.796
<v Speaker 5>get undetected, that's where they surface, and they surface mostly

0:19:24.836 --> 0:19:27.916
<v Speaker 5>in your sleep, so you will never feel those symptoms

0:19:27.996 --> 0:19:31.036
<v Speaker 5>at all. So what we were able to do through

0:19:31.116 --> 0:19:34.396
<v Speaker 5>the ring measuring CARDI Pullman recompany because your watch doesn't

0:19:34.396 --> 0:19:37.596
<v Speaker 5>do that, because your watch only measures one or the other.

0:19:38.156 --> 0:19:40.956
<v Speaker 5>We're able to measure the two and we're able to

0:19:40.996 --> 0:19:43.996
<v Speaker 5>measure how the two interact and connect with each other.

0:19:44.156 --> 0:19:46.396
<v Speaker 1>So this ring, is this an off the shelf thing

0:19:46.476 --> 0:19:46.876
<v Speaker 1>or something you.

0:19:48.236 --> 0:19:49.996
<v Speaker 5>We're trying to get it off the shelf, but it's

0:19:50.036 --> 0:19:54.556
<v Speaker 5>more of a medical device. And there I say, it's

0:19:54.596 --> 0:19:57.156
<v Speaker 5>not this any other but it's not as expensive as

0:19:57.196 --> 0:20:00.036
<v Speaker 5>others we've worked with some other proprietary It is not

0:20:00.076 --> 0:20:00.836
<v Speaker 5>as expensive.

0:20:00.956 --> 0:20:03.676
<v Speaker 1>So you wear this ring and then it's connected to.

0:20:03.716 --> 0:20:05.156
<v Speaker 3>What it's connected to.

0:20:06.716 --> 0:20:09.876
<v Speaker 5>A cell phone that we provide, so it's tether so

0:20:10.076 --> 0:20:13.036
<v Speaker 5>when you fall asleep, it hit start and it starts

0:20:13.076 --> 0:20:15.396
<v Speaker 5>to measure. It can measure if you're at risk for

0:20:15.476 --> 0:20:20.436
<v Speaker 5>sleep apnel. It can measure if you have significant oxygen

0:20:20.796 --> 0:20:23.396
<v Speaker 5>you know, desaturation lowering the levels.

0:20:23.076 --> 0:20:24.676
<v Speaker 1>And that data is coming back.

0:20:25.236 --> 0:20:28.396
<v Speaker 5>Yes, so that data comes back to the command center

0:20:28.516 --> 0:20:29.636
<v Speaker 5>that we are able to.

0:20:29.676 --> 0:20:32.716
<v Speaker 1>See, which is at the University of which is at Yes.

0:20:32.556 --> 0:20:34.596
<v Speaker 3>In our group at the University of Miami.

0:20:34.836 --> 0:20:37.516
<v Speaker 1>And how many patients do you have on for example.

0:20:37.236 --> 0:20:40.876
<v Speaker 5>Yes, So right now we're piloting this in our research studies.

0:20:40.876 --> 0:20:44.556
<v Speaker 5>So we have fifteen hundred participants African American and Hispanics

0:20:44.556 --> 0:20:48.636
<v Speaker 5>in urban and rural areas. And we've partnered with community

0:20:48.636 --> 0:20:54.036
<v Speaker 5>health centers, federally qualified health centers. Oftentimes academic centers are

0:20:54.036 --> 0:20:57.276
<v Speaker 5>the ones who are the ones who wave the flag

0:20:57.356 --> 0:21:00.676
<v Speaker 5>of technology. What we said at the University of Miami

0:21:00.716 --> 0:21:03.036
<v Speaker 5>is that we have to do more. That it is

0:21:03.196 --> 0:21:06.756
<v Speaker 5>our vocation and it is our mission to really be

0:21:07.396 --> 0:21:12.556
<v Speaker 5>that you know, supporting force. So we work with the

0:21:12.716 --> 0:21:14.756
<v Speaker 5>largest free clinic in the state of Florida.

0:21:17.996 --> 0:21:33.916
<v Speaker 1>We'll be right back with more from the panel. We're

0:21:33.916 --> 0:21:37.596
<v Speaker 1>back with more Cattaba, Doctor as Easy, Satious and Ryan

0:21:37.676 --> 0:21:40.796
<v Speaker 1>Lydd So walk us through how you use technology to

0:21:41.836 --> 0:21:42.796
<v Speaker 1>answer those questions.

0:21:43.916 --> 0:21:46.476
<v Speaker 2>I think that the place that we start, and as

0:21:46.516 --> 0:21:50.036
<v Speaker 2>some of us in technology, because myself, you know, probably

0:21:50.036 --> 0:21:55.076
<v Speaker 2>more of a technologist, it's to start with the person first, right,

0:21:55.116 --> 0:21:59.596
<v Speaker 2>to observe, to understand, and then augment. But ideally we

0:21:59.636 --> 0:22:03.516
<v Speaker 2>always say compliment, not complicate, Right, So if there's something

0:22:03.516 --> 0:22:04.596
<v Speaker 2>that's already available, if.

0:22:04.516 --> 0:22:06.516
<v Speaker 4>There are tools that are already there.

0:22:06.396 --> 0:22:08.436
<v Speaker 2>Can we listen to those tools so that it can

0:22:08.516 --> 0:22:10.916
<v Speaker 2>feel seem like to the first responder. The last thing

0:22:10.916 --> 0:22:12.516
<v Speaker 2>we want them to do is be playing with new

0:22:12.556 --> 0:22:14.956
<v Speaker 2>tech and buttons and other things to make their jobs

0:22:14.996 --> 0:22:18.196
<v Speaker 2>even more complex. So we sought to make a more

0:22:18.196 --> 0:22:22.316
<v Speaker 2>integrative solution, which therefore you know, five G and software

0:22:22.356 --> 0:22:24.956
<v Speaker 2>and these sorts of things start to you know, form

0:22:25.156 --> 0:22:28.436
<v Speaker 2>because it makes sense to do. We've thought a lot

0:22:28.476 --> 0:22:33.356
<v Speaker 2>about bioindicators, like doctors talking about cardiac arrest is still

0:22:33.396 --> 0:22:36.716
<v Speaker 2>one of the greatest killers in the fire service. Detecting

0:22:36.716 --> 0:22:40.556
<v Speaker 2>blood oxygen levels would be amazing because if we could

0:22:40.556 --> 0:22:43.236
<v Speaker 2>capture those things as a precursor, we could draw those

0:22:43.236 --> 0:22:45.996
<v Speaker 2>individuals out before it's too late. The hard part is

0:22:45.996 --> 0:22:49.276
<v Speaker 2>is the stressor it's such a high stress environment that

0:22:49.996 --> 0:22:52.156
<v Speaker 2>we need the technology to get to a point where

0:22:52.196 --> 0:22:54.796
<v Speaker 2>it can actually give us that accuracy when we need

0:22:54.836 --> 0:22:56.876
<v Speaker 2>it and not tell us after the cardiac o rent

0:22:56.876 --> 0:22:59.836
<v Speaker 2>has already happened. Oh you know, this person's about to

0:22:59.836 --> 0:23:02.796
<v Speaker 2>have one. So for us we look at interfacing with

0:23:02.876 --> 0:23:06.836
<v Speaker 2>other technology. But inevitably what got interesting is phones had

0:23:06.836 --> 0:23:09.556
<v Speaker 2>a role to play, right and in a couple of

0:23:09.556 --> 0:23:11.876
<v Speaker 2>different ways, one of which is the compute. All the

0:23:11.916 --> 0:23:13.636
<v Speaker 2>things that phones can do for all of us in

0:23:13.636 --> 0:23:16.756
<v Speaker 2>our daily lives, those are great assets and tools for

0:23:16.796 --> 0:23:20.036
<v Speaker 2>the fire service. Right now, they literally have that radio

0:23:20.116 --> 0:23:22.876
<v Speaker 2>I explained before, and rarely much else.

0:23:23.396 --> 0:23:24.156
<v Speaker 4>So an example.

0:23:24.636 --> 0:23:27.356
<v Speaker 2>I again, we're human centric, so we stay with people,

0:23:27.356 --> 0:23:30.036
<v Speaker 2>we embed in fire stations. And I was following a

0:23:30.076 --> 0:23:33.396
<v Speaker 2>fire chief and the alarms went off, and we went

0:23:33.436 --> 0:23:36.396
<v Speaker 2>off to an emergency event, and I watched him as

0:23:36.396 --> 0:23:39.236
<v Speaker 2>he pulled out two radios, turned each one to a

0:23:39.236 --> 0:23:42.636
<v Speaker 2>different channel, placed them against his ears, and looked up

0:23:42.636 --> 0:23:45.236
<v Speaker 2>at the event and proceeded to manage it. Manage it,

0:23:45.236 --> 0:23:49.196
<v Speaker 2>in other words, keep it safe, you know, mitigate the emergency. Thankfully,

0:23:49.516 --> 0:23:53.116
<v Speaker 2>everything was all clear, nobody got hurt. We went back

0:23:53.156 --> 0:23:55.516
<v Speaker 2>to the station and I asked him, hey, Chief, have

0:23:55.596 --> 0:23:57.436
<v Speaker 2>you taught yourself over the years to listen to two

0:23:57.476 --> 0:24:00.996
<v Speaker 2>conversations at the same time? And he's like, nah, He's like,

0:24:01.156 --> 0:24:04.876
<v Speaker 2>the intensity draws my attention, So he listens for the

0:24:04.916 --> 0:24:07.356
<v Speaker 2>intensity of the voice to say this might be something

0:24:07.396 --> 0:24:08.516
<v Speaker 2>it's time for me to listen.

0:24:08.636 --> 0:24:10.396
<v Speaker 4>Oh, and that's so fascinating.

0:24:10.476 --> 0:24:12.876
<v Speaker 2>Yeah, And the thought process was coming home, driving back

0:24:12.876 --> 0:24:15.036
<v Speaker 2>to our headquarters in Buffalo is a bit of a drive.

0:24:15.636 --> 0:24:19.516
<v Speaker 2>I thought computers don't have yours, Right, What about the

0:24:19.516 --> 0:24:23.036
<v Speaker 2>idea of opening up a phone and allowing the phone

0:24:23.036 --> 0:24:25.436
<v Speaker 2>to listen to as many conversations as maybe happening at

0:24:25.436 --> 0:24:28.156
<v Speaker 2>any given time, and maybe take tay a little further.

0:24:28.276 --> 0:24:31.396
<v Speaker 2>Instead of just listening for intensity, we can actually listen

0:24:31.436 --> 0:24:34.636
<v Speaker 2>to that conversation and interpret it. And that was literally

0:24:34.636 --> 0:24:37.836
<v Speaker 2>the dawn of us starting to use AI. And you know,

0:24:37.876 --> 0:24:39.916
<v Speaker 2>when we think about other tools, what other tools do

0:24:39.996 --> 0:24:41.716
<v Speaker 2>we have that can fundamentally bring that?

0:24:42.076 --> 0:24:46.116
<v Speaker 1>So, just so I understand, we're at a complex fire scene.

0:24:46.236 --> 0:24:51.756
<v Speaker 1>We have multiple firefighters, multiple people talking on radios. The

0:24:51.796 --> 0:24:53.756
<v Speaker 1>guy in charge has going to make sense, has to

0:24:53.796 --> 0:24:57.156
<v Speaker 1>coordinate all things going on. And you're saying, we could

0:24:57.196 --> 0:25:02.076
<v Speaker 1>have AI listen to all of those conversations simultaneously and

0:25:02.156 --> 0:25:06.156
<v Speaker 1>do what exactly prioritize them, summarize them. How does the

0:25:06.196 --> 0:25:09.556
<v Speaker 1>AI interface with the human decision?

0:25:09.796 --> 0:25:11.676
<v Speaker 2>Yeah, So the nice part is you can teach it

0:25:11.756 --> 0:25:15.036
<v Speaker 2>for what you want to listen for so a lot

0:25:15.036 --> 0:25:18.036
<v Speaker 2>of times there are operative words of concern that are communicated.

0:25:18.356 --> 0:25:20.476
<v Speaker 4>They want to know when certain indicators happen.

0:25:20.876 --> 0:25:23.356
<v Speaker 2>But let's be honest, the real thing that most people

0:25:23.356 --> 0:25:26.156
<v Speaker 2>are looking for is when the firefighter is under duress,

0:25:26.316 --> 0:25:29.396
<v Speaker 2>when the firefighters at risk of a loss of life,

0:25:29.596 --> 0:25:33.436
<v Speaker 2>so may day, and these types of situations are pretty consistent.

0:25:33.676 --> 0:25:35.276
<v Speaker 2>So the way we think about it is we take

0:25:35.356 --> 0:25:40.116
<v Speaker 2>the communication standard operating procedure. How do people communicate officially

0:25:40.156 --> 0:25:41.396
<v Speaker 2>through these radio systems?

0:25:41.636 --> 0:25:42.836
<v Speaker 4>When do we know it's bad?

0:25:43.236 --> 0:25:45.596
<v Speaker 2>Let's teach the AI to listen for that, and then

0:25:45.596 --> 0:25:47.676
<v Speaker 2>that way we rise to the top. In a we

0:25:47.716 --> 0:25:50.156
<v Speaker 2>have a software interface, of course, and the chief will

0:25:50.156 --> 0:25:53.276
<v Speaker 2>see someone just said something that is of concern. They

0:25:53.276 --> 0:25:56.156
<v Speaker 2>turn red, they glow, We show them where they're located,

0:25:56.436 --> 0:25:57.916
<v Speaker 2>and then the chief can take it from there.

0:25:58.036 --> 0:25:59.716
<v Speaker 1>So the chief's looking at his phone or is.

0:25:59.716 --> 0:26:01.876
<v Speaker 4>He So the chief is actually looking at a tablet.

0:26:01.996 --> 0:26:04.036
<v Speaker 2>A tablet just because you want a little bit more

0:26:04.036 --> 0:26:06.276
<v Speaker 2>surface area to kind of be able to.

0:26:07.116 --> 0:26:10.156
<v Speaker 1>In real time. The tablet is true ranking everybody and

0:26:10.516 --> 0:26:14.196
<v Speaker 1>prioritizing the person who is in most distress or under

0:26:14.236 --> 0:26:14.796
<v Speaker 1>the most stress.

0:26:14.916 --> 0:26:16.676
<v Speaker 2>Yes, and then the other nice part with the phone,

0:26:16.716 --> 0:26:19.156
<v Speaker 2>because of the amount of data that's available, we can

0:26:19.356 --> 0:26:22.516
<v Speaker 2>localize people in three dimensional space, so we can actually

0:26:22.556 --> 0:26:25.876
<v Speaker 2>show where they exist in the world, but inside even

0:26:25.916 --> 0:26:28.556
<v Speaker 2>a given structure and with height considered.

0:26:28.996 --> 0:26:31.236
<v Speaker 4>So that's where we fuse these things together.

0:26:31.316 --> 0:26:33.836
<v Speaker 2>So we use some of the capabilities inside the phone,

0:26:33.876 --> 0:26:36.236
<v Speaker 2>all the sensors, all the networks, and we can say, hey,

0:26:36.276 --> 0:26:37.236
<v Speaker 2>this person's up here.

0:26:37.476 --> 0:26:39.636
<v Speaker 4>Oh, by the way, through the AI, they.

0:26:39.516 --> 0:26:42.116
<v Speaker 2>Said something that you need to know about, So now

0:26:42.116 --> 0:26:45.356
<v Speaker 2>we can really localize this is where that person exists,

0:26:45.756 --> 0:26:47.916
<v Speaker 2>and then from there they can decide what they want

0:26:47.956 --> 0:26:48.116
<v Speaker 2>to do.

0:26:48.156 --> 0:26:51.956
<v Speaker 1>Then well, I'm listening to these two Ryan and as

0:26:51.996 --> 0:26:55.676
<v Speaker 1>Easy and I'm seeing so here are people in very

0:26:55.676 --> 0:27:01.196
<v Speaker 1>specific corners of the world taking these technologies and making

0:27:01.396 --> 0:27:05.116
<v Speaker 1>doing very very practical things with it. I'm curious how

0:27:05.156 --> 0:27:09.796
<v Speaker 1>does T mobile interact in this are you? Are you

0:27:09.876 --> 0:27:14.116
<v Speaker 1>a cheerleader? Are you an instigator? Are you? Are you

0:27:14.196 --> 0:27:18.276
<v Speaker 1>the person who helps them? There must obstacles. I mean,

0:27:18.316 --> 0:27:21.196
<v Speaker 1>you're changing the way people do business. I'm curious this

0:27:21.276 --> 0:27:23.876
<v Speaker 1>team will play a role in kind of how would

0:27:23.876 --> 0:27:26.876
<v Speaker 1>you characterize what you yes your partnership.

0:27:26.676 --> 0:27:27.596
<v Speaker 3>At the end of the day.

0:27:28.236 --> 0:27:31.436
<v Speaker 6>What we love to do is to visit with business

0:27:31.516 --> 0:27:36.476
<v Speaker 6>customers on what's your challenge, like, what is the heart

0:27:36.556 --> 0:27:40.676
<v Speaker 6>of what you're trying to accomplish with your solution, your product,

0:27:40.796 --> 0:27:46.316
<v Speaker 6>your service, and how can we build capabilities in and

0:27:46.356 --> 0:27:50.636
<v Speaker 6>around our network that really support that. So as an example,

0:27:51.796 --> 0:27:54.396
<v Speaker 6>and I can touch on both of the use cases

0:27:54.396 --> 0:27:55.756
<v Speaker 6>that have come up in the last few minutes, but

0:27:56.156 --> 0:27:58.276
<v Speaker 6>talking about Ryan in three AM for just a moment,

0:27:59.196 --> 0:28:03.676
<v Speaker 6>I love the conversation really oriented around Hey, as you

0:28:03.756 --> 0:28:07.476
<v Speaker 6>think about your platform and the situational awareness that you're

0:28:07.476 --> 0:28:10.036
<v Speaker 6>trying to give the chief or whoever's doing command and

0:28:10.076 --> 0:28:13.916
<v Speaker 6>control of that specific situation, how can we leverage both

0:28:13.996 --> 0:28:18.556
<v Speaker 6>devices where whether it's wearables that give you insights if

0:28:18.556 --> 0:28:22.116
<v Speaker 6>a person can't even talk, perhaps smoke inhalation and they've

0:28:22.196 --> 0:28:24.596
<v Speaker 6>fallen and okay, now I need to know, hey, they're

0:28:24.676 --> 0:28:25.876
<v Speaker 6>not moving, how's.

0:28:25.636 --> 0:28:26.876
<v Speaker 4>That information coming back?

0:28:27.436 --> 0:28:31.316
<v Speaker 6>Using the devices for things like both near field communications

0:28:31.356 --> 0:28:35.596
<v Speaker 6>and barometric pressure, which has been in the phones for

0:28:35.756 --> 0:28:39.076
<v Speaker 6>six seven years. Again at this point, that lets you know, hey,

0:28:39.116 --> 0:28:41.556
<v Speaker 6>not only the X and Y axis of where they are,

0:28:41.796 --> 0:28:44.516
<v Speaker 6>but how many floors up on a building are they

0:28:44.556 --> 0:28:48.996
<v Speaker 6>which is incredibly important for firefighters, and then over time

0:28:49.476 --> 0:28:54.436
<v Speaker 6>we're also going to be enabling API access into the network.

0:28:54.436 --> 0:28:57.436
<v Speaker 6>We've announced this, it's coming out in the near future,

0:28:57.716 --> 0:29:01.516
<v Speaker 6>which will allow the three AM platform to enhance all

0:29:01.516 --> 0:29:05.356
<v Speaker 6>of the capabilities they already have around things like even

0:29:05.396 --> 0:29:09.396
<v Speaker 6>more precise location, quality of service. Hey, I'm in the building,

0:29:09.476 --> 0:29:12.756
<v Speaker 6>it's burning. I need to dial up the network resources

0:29:12.756 --> 0:29:15.956
<v Speaker 6>to support everything that's happening there. It's the number one thing.

0:29:16.196 --> 0:29:20.556
<v Speaker 2>What does API mean by the way, Application programming interface?

0:29:20.676 --> 0:29:21.716
<v Speaker 4>Thank you very much.

0:29:21.876 --> 0:29:26.916
<v Speaker 6>It's basically, in plain English, a way of building a

0:29:27.036 --> 0:29:30.596
<v Speaker 6>door so that someone else's platform can come knock on

0:29:30.676 --> 0:29:32.876
<v Speaker 6>the door, the door is opened, and we give them

0:29:32.956 --> 0:29:36.716
<v Speaker 6>very specific capabilities on things that they can do with

0:29:36.916 --> 0:29:43.316
<v Speaker 6>network resourcing in real time quality of service, location, application support.

0:29:43.876 --> 0:29:48.556
<v Speaker 1>So you make we have this complicated thing situation happening

0:29:48.996 --> 0:29:53.116
<v Speaker 1>and at various moments we want to use as many

0:29:53.156 --> 0:29:57.556
<v Speaker 1>resources as possible to answer very specific and problems, and

0:29:57.636 --> 0:30:02.276
<v Speaker 1>you're divert you're making sure that necessary network resources go

0:30:02.516 --> 0:30:03.836
<v Speaker 1>to the right place at the right time.

0:30:03.996 --> 0:30:06.036
<v Speaker 6>Exactly all of these at at the heart of it's

0:30:06.036 --> 0:30:09.636
<v Speaker 6>setting aside. The technology is ways of in suring that

0:30:09.716 --> 0:30:14.156
<v Speaker 6>you're diverting or allocating the right amount of resources to

0:30:14.236 --> 0:30:18.836
<v Speaker 6>a given use case so that the first responder or

0:30:18.956 --> 0:30:22.756
<v Speaker 6>the doctor, or the mobile network that's enabling you know,

0:30:22.876 --> 0:30:25.396
<v Speaker 6>this clinical health that scaled, no matter where you happen

0:30:25.436 --> 0:30:27.836
<v Speaker 6>to be in America is available for them to be

0:30:27.876 --> 0:30:28.676
<v Speaker 6>able to do that thing.

0:30:29.476 --> 0:30:32.476
<v Speaker 1>I read the study recently, a couple weeks ago, maybe

0:30:32.516 --> 0:30:34.556
<v Speaker 1>no less in it, so you may have seen it.

0:30:34.556 --> 0:30:39.916
<v Speaker 1>It was some study talking about an AI diagnostic tool

0:30:40.156 --> 0:30:42.476
<v Speaker 1>for doctors. Did you guys see this? And it's like,

0:30:43.996 --> 0:30:46.276
<v Speaker 1>Arm number one was the doctor all by himself does

0:30:46.316 --> 0:30:49.756
<v Speaker 1>a diagnosis and they're like seventy two percent, right. Arm

0:30:49.836 --> 0:30:54.156
<v Speaker 1>number two is doctor plus AI and it was seventy seven.

0:30:54.676 --> 0:30:57.156
<v Speaker 1>Arm number three was AI alone and it was ninety two.

0:30:58.076 --> 0:31:01.796
<v Speaker 1>And the concusion study was we gave doctors these tools

0:31:02.156 --> 0:31:04.316
<v Speaker 1>and most of the time they didn't want to use them.

0:31:04.756 --> 0:31:10.756
<v Speaker 1>So I'm curious about that problem in your worlds when

0:31:10.796 --> 0:31:13.276
<v Speaker 1>do you get pushed back? Are you sure that you've

0:31:13.316 --> 0:31:17.436
<v Speaker 1>given a marvelous suite of tools to people out in

0:31:17.596 --> 0:31:20.876
<v Speaker 1>these fields? Do they use them? Is there a roadblock there?

0:31:20.876 --> 0:31:22.596
<v Speaker 3>And I can comment on that.

0:31:22.836 --> 0:31:25.356
<v Speaker 5>So I know that study very well because there's some

0:31:25.396 --> 0:31:29.236
<v Speaker 5>of my colleagues who did that work really Yeah. So

0:31:29.236 --> 0:31:32.756
<v Speaker 5>so here here's in terms of pushback, definitely, And I

0:31:32.756 --> 0:31:35.436
<v Speaker 5>think what in healthcare one of the things that we

0:31:35.476 --> 0:31:38.356
<v Speaker 5>get pushed back around is our own data privacy security.

0:31:38.516 --> 0:31:45.356
<v Speaker 5>That is huge, particularly for information technology departments. But what

0:31:45.396 --> 0:31:48.556
<v Speaker 5>we have done, because we know that that there is

0:31:48.596 --> 0:31:51.836
<v Speaker 5>going to be some this is disruptive technology and we

0:31:52.076 --> 0:31:54.836
<v Speaker 5>have to be able to better socialize it, we have

0:31:54.956 --> 0:31:58.356
<v Speaker 5>led an entire year off what we call innovation retreats

0:31:58.396 --> 0:32:02.316
<v Speaker 5>at the University of Miami so that we can give

0:32:02.356 --> 0:32:04.876
<v Speaker 5>it to them in bite size format, so that they

0:32:05.116 --> 0:32:08.876
<v Speaker 5>understand that it's not just focused on the technology, but

0:32:09.156 --> 0:32:12.116
<v Speaker 5>how is it that we can actually help to solve

0:32:12.156 --> 0:32:12.836
<v Speaker 5>what they're doing.

0:32:12.996 --> 0:32:14.596
<v Speaker 3>And so when we broadish.

0:32:14.356 --> 0:32:16.676
<v Speaker 1>Day that you're talking about clinicians.

0:32:16.116 --> 0:32:19.076
<v Speaker 5>Clinicians and not just clinicians, because I think when you're

0:32:19.076 --> 0:32:24.476
<v Speaker 5>talking about healthcare, let me just kind of deconstruct behind

0:32:24.716 --> 0:32:30.516
<v Speaker 5>that provider, you have administrative staff, billing, you know, scheduling

0:32:31.276 --> 0:32:35.276
<v Speaker 5>all of those people who are critical to ensure the operations,

0:32:35.636 --> 0:32:39.756
<v Speaker 5>and particularly some of those operations are very mundane and

0:32:39.996 --> 0:32:43.196
<v Speaker 5>very time consuming, and it collects a lot of data

0:32:43.276 --> 0:32:45.316
<v Speaker 5>and therefore, as a result, it can lead to a

0:32:45.356 --> 0:32:48.916
<v Speaker 5>tremendous amount of error. So what we're trying to do

0:32:48.956 --> 0:32:52.836
<v Speaker 5>and what we did, was to lead this digital innovation transformation,

0:32:53.076 --> 0:32:56.956
<v Speaker 5>set off retreats, focusing on the problem, trying to understand

0:32:56.956 --> 0:33:01.156
<v Speaker 5>what their pain points are, and then have the technology

0:33:01.196 --> 0:33:04.116
<v Speaker 5>come second, or have the technology come last.

0:33:04.116 --> 0:33:06.916
<v Speaker 1>Give me an example of what someone's pain point might be.

0:33:07.476 --> 0:33:08.876
<v Speaker 1>What's what's an objection you?

0:33:09.196 --> 0:33:16.236
<v Speaker 5>Yeah, yeah, So for example, digital literacy, some provide us

0:33:17.036 --> 0:33:20.836
<v Speaker 5>unfortunately are stuck in their ways. They believe that they

0:33:20.876 --> 0:33:23.756
<v Speaker 5>want to feel and touch the patient as they should,

0:33:23.756 --> 0:33:26.716
<v Speaker 5>and we're not saying what we're proposing is we're not

0:33:26.756 --> 0:33:30.076
<v Speaker 5>saying that they shouldn't do that. But I think some

0:33:30.156 --> 0:33:34.116
<v Speaker 5>of them have a form of technophobia as well. And

0:33:34.156 --> 0:33:37.556
<v Speaker 5>by digital literacy, I'm talking you know, they may feel

0:33:37.596 --> 0:33:39.596
<v Speaker 5>as if they don't know or they may not be

0:33:39.636 --> 0:33:42.796
<v Speaker 5>as fascile in working some of the technology. So we

0:33:42.876 --> 0:33:45.596
<v Speaker 5>really peer it down, you know, for them, and I

0:33:45.636 --> 0:33:48.796
<v Speaker 5>think some of the technology I think some pushback as well.

0:33:49.196 --> 0:33:51.956
<v Speaker 5>I think many people, especially in the community that we serve,

0:33:52.356 --> 0:33:55.716
<v Speaker 5>many people believe, and it's an important issue, that access

0:33:55.756 --> 0:33:58.036
<v Speaker 5>is a huge issue for their patients. So they may

0:33:58.076 --> 0:34:01.676
<v Speaker 5>say well, my patient doesn't have a cell phone, and

0:34:01.716 --> 0:34:03.996
<v Speaker 5>I'm like, we push back and said, actually, the Pew

0:34:04.116 --> 0:34:08.396
<v Speaker 5>says ninety two percent of the US population, particularly low

0:34:08.396 --> 0:34:12.356
<v Speaker 5>income folks, actually have a smartphone or some form of

0:34:12.516 --> 0:34:16.436
<v Speaker 5>mobile device. No, it's a different thing when we're talking

0:34:16.476 --> 0:34:18.076
<v Speaker 5>about do they know how to use it? Do they

0:34:18.076 --> 0:34:19.956
<v Speaker 5>know how to optimally use it as well? And this

0:34:20.036 --> 0:34:22.356
<v Speaker 5>is what we do as well. We provide training to

0:34:22.596 --> 0:34:25.356
<v Speaker 5>patients as well as to how to use it as well.

0:34:25.356 --> 0:34:27.836
<v Speaker 5>So those are some of the unique pushbacks. And then

0:34:27.836 --> 0:34:31.916
<v Speaker 5>obviously data, where do my data go? And provide us

0:34:31.956 --> 0:34:33.956
<v Speaker 5>ask those questions as well. And I think this is

0:34:33.996 --> 0:34:39.556
<v Speaker 5>why having very robust secure environments is important times. So

0:34:39.596 --> 0:34:42.676
<v Speaker 5>similar to what we do, especially with the mailbox, we

0:34:42.716 --> 0:34:45.436
<v Speaker 5>have about seven or so devices that they were not

0:34:45.636 --> 0:34:48.036
<v Speaker 5>built to communicate with each other. So, you know, the

0:34:48.076 --> 0:34:51.316
<v Speaker 5>API is another thing and we call it handshakes, you know.

0:34:51.796 --> 0:34:54.156
<v Speaker 5>And what we try to do is we said we

0:34:54.196 --> 0:34:56.996
<v Speaker 5>wanted to create a remote health monitoring solution that's like

0:34:57.036 --> 0:35:00.516
<v Speaker 5>the Walmart version because typically when you look at remote

0:35:00.556 --> 0:35:04.356
<v Speaker 5>health monitoring solutions are very expensive and quite proprietory. We

0:35:04.436 --> 0:35:07.516
<v Speaker 5>want providers and we want provide us and patients to

0:35:07.516 --> 0:35:11.516
<v Speaker 5>be empowered that bring your own device, whatever device you have,

0:35:11.556 --> 0:35:15.716
<v Speaker 5>as long as it actually has the necessary API connectivity,

0:35:16.036 --> 0:35:17.876
<v Speaker 5>then we'll be able to collect to those dat So

0:35:17.996 --> 0:35:20.316
<v Speaker 5>those are some of the pushbacks that we've experienced.

0:35:20.756 --> 0:35:24.436
<v Speaker 1>Ryan, Do you surely this must be I mean, you're

0:35:24.596 --> 0:35:28.156
<v Speaker 1>entering a field that has been fighting virus in the

0:35:28.156 --> 0:35:29.836
<v Speaker 1>same way for a very very long time.

0:35:30.156 --> 0:35:30.756
<v Speaker 4>Yeah.

0:35:30.996 --> 0:35:33.716
<v Speaker 2>Hate the way things are, but hate change probably even more.

0:35:34.316 --> 0:35:38.036
<v Speaker 2>That's they're saying, not mine, I bros. The first place

0:35:38.036 --> 0:35:40.916
<v Speaker 2>that it started was absolutely social media. The biggest fear

0:35:41.356 --> 0:35:44.316
<v Speaker 2>in the fire Service about even bringing a phone into

0:35:44.356 --> 0:35:46.716
<v Speaker 2>the mix, or let's call it a smart device, is

0:35:46.756 --> 0:35:49.956
<v Speaker 2>the propensity to share this information publicly. But the reality was,

0:35:49.996 --> 0:35:52.596
<v Speaker 2>I reminded them when you go to a supermarket, you

0:35:52.636 --> 0:35:55.196
<v Speaker 2>know the kids that are ringing up your groceries. That's

0:35:55.236 --> 0:35:58.396
<v Speaker 2>a Windows computer, but they're not cruising around on social media.

0:35:58.676 --> 0:36:01.156
<v Speaker 2>We can configure the device to only do the thing

0:36:01.236 --> 0:36:04.076
<v Speaker 2>you wanted to do, so we can take advantage of

0:36:04.116 --> 0:36:04.876
<v Speaker 2>the capability.

0:36:05.036 --> 0:36:06.716
<v Speaker 4>So that was the first obstacle, and.

0:36:06.756 --> 0:36:08.956
<v Speaker 2>Now that we deal with AI, the big one is

0:36:09.116 --> 0:36:13.996
<v Speaker 2>hallucination and inaccuracy naturally right, well, great, I like this idea,

0:36:14.116 --> 0:36:16.956
<v Speaker 2>But what happens if it's wrong? And I think, to

0:36:17.076 --> 0:36:20.876
<v Speaker 2>quote a chief that I work with at the Philadelphia

0:36:20.876 --> 0:36:25.436
<v Speaker 2>Fire Department, he actually wrote his thesis on leveraging AI

0:36:25.516 --> 0:36:29.116
<v Speaker 2>in the Philadelphia Fire Department and beyond. And his argument

0:36:29.276 --> 0:36:33.036
<v Speaker 2>was decision support not to make the decisions for you,

0:36:33.196 --> 0:36:35.636
<v Speaker 2>not to ask it, and you shall receive and just

0:36:35.716 --> 0:36:38.556
<v Speaker 2>do what it says. Have it, go retrieve the things

0:36:38.756 --> 0:36:41.676
<v Speaker 2>that you need. Right, and so this concept of augmented

0:36:41.716 --> 0:36:44.236
<v Speaker 2>retrieval giving it domain specific knowledge.

0:36:44.636 --> 0:36:47.596
<v Speaker 4>Here is something about what you're dealing with. Let me go.

0:36:47.596 --> 0:36:50.436
<v Speaker 2>Find the best information and present it to you so

0:36:50.516 --> 0:36:53.036
<v Speaker 2>that you can decide from there. I think those bits

0:36:53.076 --> 0:36:55.636
<v Speaker 2>are the essential. And then lastly, absolutely for all of

0:36:55.676 --> 0:36:58.396
<v Speaker 2>us as security. So the nice part is Microsoft and

0:36:58.436 --> 0:37:02.556
<v Speaker 2>some of these groups have made sort of enterprise contained AIS,

0:37:02.796 --> 0:37:06.156
<v Speaker 2>so we're not dispersing this throughout some central knowledge. This

0:37:06.236 --> 0:37:09.116
<v Speaker 2>is specific to the fire department, which in our perspective

0:37:09.196 --> 0:37:11.276
<v Speaker 2>it helps accuracy to go actually up.

0:37:11.436 --> 0:37:14.276
<v Speaker 1>But when you go out on someone from three am

0:37:14.356 --> 0:37:16.676
<v Speaker 1>goes out on a sales call, you go and visit

0:37:16.676 --> 0:37:19.956
<v Speaker 1>a fire department somewhere and you say, we have this

0:37:20.316 --> 0:37:23.276
<v Speaker 1>whole set of ideas to solve some problems for you.

0:37:23.276 --> 0:37:25.836
<v Speaker 1>You have your conversation with the chief, who you've never

0:37:25.876 --> 0:37:27.796
<v Speaker 1>talked to before. What does the chief say?

0:37:29.716 --> 0:37:32.196
<v Speaker 2>The chief is immediately any single time it has to

0:37:32.196 --> 0:37:35.676
<v Speaker 2>do with safety of their firefighters, they're obviously compelled to listen.

0:37:37.036 --> 0:37:39.316
<v Speaker 2>The hard part, I think really is how much change

0:37:39.356 --> 0:37:41.236
<v Speaker 2>is this going to bring to my organization? Other words,

0:37:41.356 --> 0:37:45.396
<v Speaker 2>how much friction is me implementing this technology going to bring?

0:37:45.556 --> 0:37:48.076
<v Speaker 2>And so one of my proudest moments, which sounds super innocuous,

0:37:48.236 --> 0:37:50.556
<v Speaker 2>we did the fourth of July and it was hundreds

0:37:50.556 --> 0:37:53.076
<v Speaker 2>of people and they all forgot they had the device.

0:37:53.396 --> 0:37:57.356
<v Speaker 2>And I was super happy, right because it became invisible.

0:37:57.756 --> 0:38:01.596
<v Speaker 2>And if we can do that, you know, the obstacles

0:38:01.596 --> 0:38:04.236
<v Speaker 2>are sort of overcome. Right, So the idea of automation

0:38:04.756 --> 0:38:07.316
<v Speaker 2>and streamlining all of this contextually, just put the smart

0:38:07.316 --> 0:38:10.356
<v Speaker 2>thing in your pocket, don't worry about anything else. That's

0:38:10.396 --> 0:38:13.236
<v Speaker 2>our fundamental goal, and that's the way that we overcome

0:38:13.276 --> 0:38:14.676
<v Speaker 2>those objections.

0:38:14.756 --> 0:38:20.556
<v Speaker 1>All these innovations have multiple constituencies, right right, And I

0:38:21.916 --> 0:38:23.596
<v Speaker 1>wonder if you can sort of appine on this. This

0:38:24.036 --> 0:38:28.756
<v Speaker 1>must be a kind of perennial issue for anyone who's

0:38:28.876 --> 0:38:32.836
<v Speaker 1>like T mobile who is driving innovation is to ask yourself,

0:38:32.876 --> 0:38:36.596
<v Speaker 1>who's the customer here? Right? Do you have these do

0:38:36.636 --> 0:38:40.636
<v Speaker 1>you face this kind of tension between who? Is it

0:38:40.676 --> 0:38:44.476
<v Speaker 1>important to clarify who we're serving with this innovation before

0:38:44.516 --> 0:38:46.996
<v Speaker 1>you go down the road towards pushing the innovation.

0:38:47.556 --> 0:38:52.556
<v Speaker 6>It really goes back to, if you will, selling through curiosity,

0:38:52.956 --> 0:38:55.476
<v Speaker 6>meaning when you're sitting down with the customer, you're trying

0:38:55.516 --> 0:39:00.636
<v Speaker 6>to understand what it is that they're trying to accomplish

0:39:00.756 --> 0:39:03.836
<v Speaker 6>and is it for their employees, is it business to

0:39:03.916 --> 0:39:06.876
<v Speaker 6>business to consumers or is it their end consumer that

0:39:06.876 --> 0:39:10.156
<v Speaker 6>they're trying to solve the problem and then designing the

0:39:10.196 --> 0:39:14.836
<v Speaker 6>solution to that meet that need. Going back to your

0:39:14.876 --> 0:39:18.756
<v Speaker 6>AI study example just a few minutes ago, like this

0:39:19.076 --> 0:39:21.516
<v Speaker 6>is what I love about what we're here today to

0:39:21.556 --> 0:39:28.236
<v Speaker 6>celebrate is unconventional thinking, which inherently is what is to

0:39:28.276 --> 0:39:30.476
<v Speaker 6>the left of me here today with you know, doctor

0:39:30.516 --> 0:39:34.876
<v Speaker 6>Azezy and Ryan is individuals that looked at the industries

0:39:34.916 --> 0:39:37.516
<v Speaker 6>in which they were working and thought there is a

0:39:37.556 --> 0:39:41.116
<v Speaker 6>better way. I don't care how our industry has done

0:39:41.156 --> 0:39:45.076
<v Speaker 6>it before, and can I build something that drives that outcome?

0:39:45.316 --> 0:39:46.836
<v Speaker 3>I mean with doctor as easy.

0:39:47.756 --> 0:39:52.596
<v Speaker 6>Clinical studies invariably have been at a some central location,

0:39:53.276 --> 0:39:58.276
<v Speaker 6>and what that means is that marginalized groups, underserved groups

0:39:58.556 --> 0:40:02.996
<v Speaker 6>were being underserved. And so the problem statement was, hey,

0:40:03.036 --> 0:40:08.836
<v Speaker 6>can we bring together low cost medical devices, stitch them

0:40:08.836 --> 0:40:12.196
<v Speaker 6>toge gather with a connectivity solution which then in real

0:40:12.276 --> 0:40:16.436
<v Speaker 6>time will send that information back one so that we

0:40:16.476 --> 0:40:18.596
<v Speaker 6>can learn more on how to better serve these groups.

0:40:18.636 --> 0:40:21.676
<v Speaker 6>But in the case of the cardiacc patient that you

0:40:21.676 --> 0:40:23.076
<v Speaker 6>were talking about a little bit ago.

0:40:23.516 --> 0:40:24.596
<v Speaker 4>Also save lives.

0:40:24.956 --> 0:40:28.836
<v Speaker 6>So that's the heart of it for me is I love, love,

0:40:28.876 --> 0:40:35.916
<v Speaker 6>love visiting with businesses that are thinking unconventionally innovatively, and

0:40:35.956 --> 0:40:39.356
<v Speaker 6>then how can we build something with them to drive

0:40:40.076 --> 0:40:42.596
<v Speaker 6>the outcome, which may be the business or in this

0:40:42.676 --> 0:40:46.116
<v Speaker 6>case is the end person that's part of the clinical trial.

0:40:48.116 --> 0:40:50.556
<v Speaker 1>Two to ask questions we're sadly running in time, but

0:40:50.596 --> 0:40:53.596
<v Speaker 1>two us questions to both of you. I'm curious about

0:40:54.236 --> 0:40:59.476
<v Speaker 1>how you measure success. So you, Ryan, you've given this

0:41:00.636 --> 0:41:04.956
<v Speaker 1>marvelous tool to people in very high stressed situations, and

0:41:05.396 --> 0:41:11.076
<v Speaker 1>intuitively we would say you've made you bade their the

0:41:11.196 --> 0:41:15.996
<v Speaker 1>job of the of fighting the fire better easier. But

0:41:16.036 --> 0:41:18.236
<v Speaker 1>how do you know how do you know that's true.

0:41:18.276 --> 0:41:20.916
<v Speaker 1>A And how do you know how much you've improved?

0:41:20.956 --> 0:41:25.516
<v Speaker 1>I mean, do you actively go out and collect data

0:41:25.596 --> 0:41:28.716
<v Speaker 1>or feedback or something from the field to understand that

0:41:28.956 --> 0:41:31.196
<v Speaker 1>the magnitude of the impact you're having.

0:41:31.316 --> 0:41:35.036
<v Speaker 2>It's a great question, and I get really fired up

0:41:35.156 --> 0:41:39.796
<v Speaker 2>because competitors or people in the space throw vanity metrics

0:41:39.836 --> 0:41:42.316
<v Speaker 2>around and they try to tell first responders this is

0:41:42.356 --> 0:41:44.356
<v Speaker 2>how much time and how many lives they're going to save,

0:41:44.836 --> 0:41:49.396
<v Speaker 2>and that's a ridiculous concept. It's all relative, right, So

0:41:49.476 --> 0:41:51.476
<v Speaker 2>to your question, you know, for example, I was at

0:41:51.476 --> 0:41:54.756
<v Speaker 2>a major event. It was actually a marathon, so there

0:41:54.756 --> 0:41:57.876
<v Speaker 2>are a lot of medical issues people that go into

0:41:57.916 --> 0:42:01.396
<v Speaker 2>cardiac arrest and over exhaustion, and there were code blues,

0:42:01.676 --> 0:42:04.396
<v Speaker 2>which means this person is critical. If we don't get

0:42:04.436 --> 0:42:08.996
<v Speaker 2>to the hospital immediately, they will likely die. And immediately

0:42:09.036 --> 0:42:11.876
<v Speaker 2>they go the tool And to your question, is you

0:42:11.916 --> 0:42:14.916
<v Speaker 2>brought up earlier about screens and distraction. We are infinitely

0:42:14.996 --> 0:42:17.796
<v Speaker 2>obsessed with that. The reason why I think automation and

0:42:17.836 --> 0:42:19.556
<v Speaker 2>AI is interesting is because it can be in the

0:42:19.556 --> 0:42:21.316
<v Speaker 2>background and there when you need it.

0:42:21.476 --> 0:42:22.436
<v Speaker 4>That's how we view it.

0:42:22.516 --> 0:42:25.356
<v Speaker 1>So what is instance the tool selling is putting the

0:42:25.596 --> 0:42:26.556
<v Speaker 1>code blues at the top.

0:42:26.676 --> 0:42:28.996
<v Speaker 2>Well, so they're putting it up, code blue gets called in.

0:42:29.396 --> 0:42:32.156
<v Speaker 2>They immediately look at their people on the map and

0:42:32.636 --> 0:42:35.396
<v Speaker 2>typically they would have emergency resources that are assigned to

0:42:35.436 --> 0:42:38.636
<v Speaker 2>specific areas for an event, and you would just say, okay,

0:42:38.756 --> 0:42:40.556
<v Speaker 2>send you know, ISP two.

0:42:40.756 --> 0:42:41.636
<v Speaker 4>That's where they're going to go.

0:42:41.836 --> 0:42:44.556
<v Speaker 2>But instead they're all the way three blocks down, and

0:42:44.596 --> 0:42:46.316
<v Speaker 2>now that you've made that assignment, it's going to take

0:42:46.316 --> 0:42:48.396
<v Speaker 2>them three blocks to get to the patient. By the

0:42:48.436 --> 0:42:50.436
<v Speaker 2>time you get their oxygen has been denied from the

0:42:50.436 --> 0:42:54.116
<v Speaker 2>brain for too long and we've lost the patient, right,

0:42:54.156 --> 0:42:56.396
<v Speaker 2>So instead they say no, no, no, no, ISP three, you

0:42:56.556 --> 0:42:59.156
<v Speaker 2>turn around. I literally watched them and they coach them

0:42:59.196 --> 0:43:01.236
<v Speaker 2>back and that incident command to look to me goes.

0:43:01.236 --> 0:43:03.916
<v Speaker 2>Your tool has been instrumental today. So those are those

0:43:03.956 --> 0:43:05.276
<v Speaker 2>moments where we saved a life.

0:43:05.396 --> 0:43:09.476
<v Speaker 1>Precision, the precision with which you can you can allocate

0:43:09.556 --> 0:43:12.156
<v Speaker 1>resources to the problem is greater.

0:43:11.916 --> 0:43:15.356
<v Speaker 2>Here, right, Yeah, So in those moments, those are those

0:43:15.396 --> 0:43:18.756
<v Speaker 2>things that that sort of matter, right, And to your

0:43:18.796 --> 0:43:21.596
<v Speaker 2>question though, on how do we you know, sort of

0:43:21.836 --> 0:43:24.196
<v Speaker 2>bring it back to people to show them the impact

0:43:24.196 --> 0:43:28.076
<v Speaker 2>it's driving Again, I think usage creates value. The more

0:43:28.156 --> 0:43:30.756
<v Speaker 2>you use it the more it's valuable to you. Why

0:43:31.036 --> 0:43:35.116
<v Speaker 2>because we actually document all data for all events forever.

0:43:35.516 --> 0:43:37.476
<v Speaker 2>And then what you can do is you can scrub

0:43:37.516 --> 0:43:39.836
<v Speaker 2>through it and go back in time from years ago

0:43:40.156 --> 0:43:42.516
<v Speaker 2>and say what happened at exactly the three minute mark

0:43:42.596 --> 0:43:45.436
<v Speaker 2>on this particular event. You can pose it almost like

0:43:45.476 --> 0:43:48.196
<v Speaker 2>the matrix and spin it around and look at it,

0:43:48.236 --> 0:43:51.236
<v Speaker 2>look at all the information that was presented, and that

0:43:51.316 --> 0:43:55.396
<v Speaker 2>becomes mission critical for evolving your best practices, you know,

0:43:55.796 --> 0:43:56.276
<v Speaker 2>things of that.

0:43:56.796 --> 0:43:57.876
<v Speaker 1>It becomes a learning tool.

0:43:57.956 --> 0:43:58.116
<v Speaker 3>Then.

0:43:58.316 --> 0:44:01.396
<v Speaker 1>Yes, in addition to real to its real time importance,

0:44:01.676 --> 0:44:04.276
<v Speaker 1>it has a kind of retrospective importance that you can

0:44:04.356 --> 0:44:05.836
<v Speaker 1>leverage that data to kind of figure out how to

0:44:05.876 --> 0:44:06.516
<v Speaker 1>do a better job.

0:44:06.636 --> 0:44:08.516
<v Speaker 2>And the big piece that I think will triage into

0:44:08.676 --> 0:44:11.956
<v Speaker 2>a ZAS is that our greatest goal here is a

0:44:11.996 --> 0:44:16.156
<v Speaker 2>safe first responder. Is a safe society is or safe communities.

0:44:16.396 --> 0:44:18.156
<v Speaker 2>If we keep them safe, the rest of us are

0:44:18.196 --> 0:44:21.516
<v Speaker 2>in a much better position. The sad part is the

0:44:21.556 --> 0:44:24.636
<v Speaker 2>average life expectancy of a firefighter sixty one years of age.

0:44:24.956 --> 0:44:26.436
<v Speaker 4>Cardiac arrest being a big driver.

0:44:26.556 --> 0:44:29.596
<v Speaker 2>Cancer is really crawling up there though, and we have

0:44:29.636 --> 0:44:32.756
<v Speaker 2>all other terminal diseases that come later in life. Right,

0:44:32.996 --> 0:44:36.156
<v Speaker 2>So our goal is over time throughout your career, because

0:44:36.156 --> 0:44:38.556
<v Speaker 2>we capture all of this data, and because we could

0:44:38.556 --> 0:44:41.396
<v Speaker 2>cross reference with medical professions exactly as a diseas he's

0:44:41.436 --> 0:44:44.716
<v Speaker 2>talking about, Hey, you spent one thousand hours in that

0:44:44.756 --> 0:44:48.476
<v Speaker 2>facility that has now been discovered to contain carcinogens. Now

0:44:48.516 --> 0:44:51.076
<v Speaker 2>the medical practitioner can do things on a preventative care

0:44:51.076 --> 0:44:53.596
<v Speaker 2>standpoint so that we can get ahead of that and

0:44:53.636 --> 0:44:56.876
<v Speaker 2>make sure that firefighters live along in healthy life. So

0:44:56.916 --> 0:44:58.356
<v Speaker 2>to me, that is that ultimate goal.

0:44:59.196 --> 0:45:02.076
<v Speaker 1>It's easy. I'm almost more interested in you responding to

0:45:03.356 --> 0:45:07.396
<v Speaker 1>what Moe was saying about decentralization and why that's I

0:45:07.436 --> 0:45:12.556
<v Speaker 1>think that's actually a lovely place to to end this conversation,

0:45:13.036 --> 0:45:17.036
<v Speaker 1>because it does strike me as I've listened to both

0:45:17.036 --> 0:45:21.316
<v Speaker 1>of you that there is something there is a real

0:45:21.436 --> 0:45:26.036
<v Speaker 1>revolution here in the way data is being collected and

0:45:26.116 --> 0:45:29.436
<v Speaker 1>used and how we're learning from it. But the decentralization

0:45:29.556 --> 0:45:37.436
<v Speaker 1>piece has a kind of social and almost political importance, right,

0:45:37.556 --> 0:45:40.636
<v Speaker 1>It's like it's something high So talk a little bit.

0:45:40.796 --> 0:45:42.556
<v Speaker 1>This is what you've managed to do to You've now

0:45:42.636 --> 0:45:46.796
<v Speaker 1>decentralized the collection of medical information from people and the

0:45:46.836 --> 0:45:50.836
<v Speaker 1>conduct of studies. What does that mean for fairness and society,

0:45:50.956 --> 0:45:54.436
<v Speaker 1>for the quality of the data we're collecting, for the

0:45:54.476 --> 0:45:57.556
<v Speaker 1>way people perceive the medical care system. It's a big deal.

0:45:57.996 --> 0:45:58.596
<v Speaker 3>It's huge.

0:45:58.716 --> 0:46:03.076
<v Speaker 5>That's a great question, Thanks for asking. We believe that

0:46:03.196 --> 0:46:06.796
<v Speaker 5>most of healthcare occurs outside of the brick on more

0:46:06.836 --> 0:46:10.716
<v Speaker 5>to healthcare, and what would often happen is that we

0:46:10.756 --> 0:46:14.116
<v Speaker 5>would get these findings that are artifacts. So for example,

0:46:14.156 --> 0:46:16.556
<v Speaker 5>if you go to you know, your provide on your

0:46:16.556 --> 0:46:21.796
<v Speaker 5>blood pressure is high, are you considered hypertensive or is

0:46:21.836 --> 0:46:25.836
<v Speaker 5>it just artifactual right because of the fact that you know, people.

0:46:25.636 --> 0:46:26.916
<v Speaker 3>Are stressful and the like.

0:46:27.356 --> 0:46:30.036
<v Speaker 5>What we're thinking, what we know, what we're doing is

0:46:30.076 --> 0:46:33.556
<v Speaker 5>that we are actually connecting the dots in between visits

0:46:33.756 --> 0:46:37.236
<v Speaker 5>what we call real world data. We want to study

0:46:37.276 --> 0:46:40.796
<v Speaker 5>the human being in the wild, not in some kind

0:46:40.796 --> 0:46:44.756
<v Speaker 5>of artificial setting, and that allows us to be more fair,

0:46:44.996 --> 0:46:48.476
<v Speaker 5>but it also allows us to be far reaching as well.

0:46:48.516 --> 0:46:50.836
<v Speaker 5>Why one of the things that I hadn't shared and

0:46:50.836 --> 0:46:53.036
<v Speaker 5>I'll share this know is that at the end of

0:46:53.076 --> 0:46:57.236
<v Speaker 5>this we're going to be creating digital twins of each person.

0:46:57.276 --> 0:47:00.636
<v Speaker 5>What does that mean we can know exactly what someone's

0:47:01.076 --> 0:47:05.356
<v Speaker 5>biological algorithm is based on sensing data as well as

0:47:05.356 --> 0:47:06.796
<v Speaker 5>blood work that we're collecting.

0:47:07.036 --> 0:47:07.836
<v Speaker 3>What does this mean.

0:47:08.076 --> 0:47:11.716
<v Speaker 5>It means we can anticipate what comes next or even

0:47:11.756 --> 0:47:16.276
<v Speaker 5>before it happens. But from a fearness standpoint, this allows

0:47:16.356 --> 0:47:20.876
<v Speaker 5>us to really get into all crevices, all the areas,

0:47:20.956 --> 0:47:25.596
<v Speaker 5>all underserved communities that were left by the wayside. So

0:47:25.716 --> 0:47:29.156
<v Speaker 5>for US metrics or success, I've never led us study

0:47:29.196 --> 0:47:32.236
<v Speaker 5>where the recruitment has been so great. And this is

0:47:32.276 --> 0:47:34.876
<v Speaker 5>the this is why, you know, one of the biggest

0:47:34.916 --> 0:47:37.596
<v Speaker 5>journal science learned about what we were doing and wanted

0:47:37.636 --> 0:47:41.276
<v Speaker 5>us to document that because typically when people innovate, the

0:47:41.396 --> 0:47:45.396
<v Speaker 5>innovate for the haves and have mores. We fundamentally believe

0:47:45.436 --> 0:47:48.156
<v Speaker 5>that if we innovate for the have nots, that it

0:47:48.196 --> 0:47:50.676
<v Speaker 5>would allow us to scale much better and it would

0:47:50.716 --> 0:47:54.596
<v Speaker 5>have far more rich and more applicability. So from an

0:47:54.636 --> 0:47:57.876
<v Speaker 5>ethics and an equitable standpoint, so that's why we dubbed

0:47:57.876 --> 0:48:01.676
<v Speaker 5>what we call health tequity. Right, We've been talking about

0:48:01.676 --> 0:48:04.356
<v Speaker 5>this with the American Art Association. It's a real deal

0:48:04.396 --> 0:48:09.436
<v Speaker 5>though that we believe that at the intersection, at the

0:48:09.476 --> 0:48:14.476
<v Speaker 5>nexus of equity and technology, that we could exacerbate health

0:48:14.516 --> 0:48:18.396
<v Speaker 5>care issues or it could be cure, we could mend it,

0:48:18.436 --> 0:48:21.076
<v Speaker 5>and we're saying that we want to be the ones

0:48:21.156 --> 0:48:24.076
<v Speaker 5>and so for us, here's what we're doing already. We're

0:48:24.076 --> 0:48:28.836
<v Speaker 5>screening people for Alzheimer's disease much earlier using augmented reality

0:48:28.996 --> 0:48:31.156
<v Speaker 5>where we can determine if someone is going to get

0:48:31.436 --> 0:48:34.836
<v Speaker 5>Alzheimer's disease six to ten years before age of onset.

0:48:35.196 --> 0:48:39.756
<v Speaker 5>We're providing virtual reality solutions to black and brown Black

0:48:39.756 --> 0:48:42.516
<v Speaker 5>on brown moms who have no tourists been known to

0:48:42.516 --> 0:48:46.316
<v Speaker 5>have a huge epidemic in maternal mental health at Maternal Health,

0:48:46.596 --> 0:48:50.036
<v Speaker 5>we're providing that to a freugh of folks. We're reaching

0:48:50.036 --> 0:48:52.396
<v Speaker 5>out and providing it to over three thousand kids in

0:48:52.396 --> 0:48:55.476
<v Speaker 5>the state of Florida because sixty eight percent of families

0:48:55.516 --> 0:49:00.036
<v Speaker 5>don't live near a licensed mental health practitioner. And we're

0:49:00.076 --> 0:49:03.596
<v Speaker 5>also building the next generation of technologies on health care

0:49:03.716 --> 0:49:07.876
<v Speaker 5>provide us so that we know can have a provider,

0:49:07.956 --> 0:49:11.596
<v Speaker 5>we can listen because typically when you go to your provider,

0:49:11.636 --> 0:49:13.916
<v Speaker 5>what are they doing? They're writing notes and there's no

0:49:13.996 --> 0:49:17.556
<v Speaker 5>eye contact. No. We can use AI and ambient technology

0:49:17.836 --> 0:49:21.356
<v Speaker 5>to capture all of those data so that your provider

0:49:21.436 --> 0:49:25.796
<v Speaker 5>can be with you more in a more human human way,

0:49:26.076 --> 0:49:26.636
<v Speaker 5>and that's.

0:49:26.476 --> 0:49:29.276
<v Speaker 3>What it will allow us to do. So that's how we.

0:49:29.796 --> 0:49:32.756
<v Speaker 5>Measure metrics of success, and I think that's where the

0:49:32.796 --> 0:49:37.996
<v Speaker 5>ethics lies as well, restoring the humanity in medicine. Oftentimes

0:49:37.996 --> 0:49:41.516
<v Speaker 5>people think that when you use technology that it actually

0:49:41.596 --> 0:49:44.916
<v Speaker 5>effaces the human. What we're trying to do is that

0:49:44.956 --> 0:49:49.236
<v Speaker 5>we believe that technology can allow us to make healthcare

0:49:49.516 --> 0:49:53.956
<v Speaker 5>more human again, restoring the soul and reclaiming the soul

0:49:53.956 --> 0:49:55.316
<v Speaker 5>of healthcare through technology.

0:49:55.476 --> 0:49:56.396
<v Speaker 3>That's our thesis.

0:49:56.676 --> 0:50:01.596
<v Speaker 1>Yeah, that's really beautiful. I will say just one last note.

0:50:02.796 --> 0:50:05.076
<v Speaker 1>The whole time you guys were talking, I was having

0:50:05.556 --> 0:50:10.716
<v Speaker 1>these kinds of absurd fantasies about how I, as I

0:50:10.756 --> 0:50:14.036
<v Speaker 1>am a parent of two girls, how I could use

0:50:14.076 --> 0:50:20.476
<v Speaker 1>both of your technologies to uh helicopter parent. I give

0:50:20.556 --> 0:50:23.036
<v Speaker 1>them a wearable, they would monitor everything. I'd be listening

0:50:23.036 --> 0:50:25.876
<v Speaker 1>to all their conversations, and I just walk around with

0:50:26.036 --> 0:50:30.636
<v Speaker 1>Ryan with one of your with one of your tablets,

0:50:30.916 --> 0:50:32.996
<v Speaker 1>and every they were just like highlight if there's ever

0:50:33.036 --> 0:50:37.476
<v Speaker 1>any kind of problem. But this has been absolutely fascinating.

0:50:38.396 --> 0:50:39.796
<v Speaker 1>I don't I feel we could have gone on and

0:50:39.876 --> 0:50:42.796
<v Speaker 1>on and on for another hour. But I think what

0:50:42.836 --> 0:50:45.396
<v Speaker 1>you've done is just given us a little glimpse into

0:50:45.956 --> 0:50:53.516
<v Speaker 1>how human ingenuity is using technology in utterly unexpected ways.

0:50:54.516 --> 0:50:57.556
<v Speaker 1>And I think that's it's a it's it's a beautiful

0:50:57.556 --> 0:50:59.156
<v Speaker 1>story that needs to be told, and I'm that we're

0:50:59.156 --> 0:50:59.516
<v Speaker 1>telling it.

0:51:00.156 --> 0:51:02.716
<v Speaker 3>Thank you, thank you, thank you, thank you.

0:51:09.356 --> 0:51:12.196
<v Speaker 1>Thanks for listening to this special episode brought to you

0:51:12.236 --> 0:51:15.916
<v Speaker 1>by T Mobile for Business. Special thanks to our guests

0:51:16.276 --> 0:51:20.636
<v Speaker 1>Mokattaba T Mobile for Businesses Chief Marketing Officer, Ryan Litt,

0:51:21.356 --> 0:51:24.956
<v Speaker 1>chief operating Officer and co founder three A M Innovations,

0:51:25.276 --> 0:51:29.316
<v Speaker 1>and doctor Azizi Satias, Chair of the Department of Informatics

0:51:29.356 --> 0:51:32.476
<v Speaker 1>and Health Data Science at the University of Miami School

0:51:32.476 --> 0:51:36.116
<v Speaker 1>of Medicine. And special thanks to the entire production crew

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<v Speaker 1>at iHeartMedia. This episode was produced by Nina Birgh Lawrence

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<v Speaker 1>with Lucy Sullivan and Ben Nadaf Haffrey. Editing by Karen

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<v Speaker 1>Schakerji mastering by Sarah Bruguer. Special thanks to Lou Carloso

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<v Speaker 1>for on site recording. Our executive producer is Jacob Smith.

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<v Speaker 1>I'm Malcolm Lapa