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Exploring Life-Saving AI Tech with T-Mobile for Business · Revisionist History

0:15
Speaker 1: Pushkin. This episode is a paid partnership with T Mobile
0:23
Speaker 1: for Business. Hello, Hello, Malcolm Glabel. Here today. I wanted
0:30
Speaker 1: to share a very special conversation I had recently hosted
0:34
Speaker 1: by my good friends at T Mobile for Business about
0:37
Speaker 1: how AI is changing our world. My guests are oh Kattaba,
0:43
Speaker 1: the CMO of T Mobile for Business, doctor Azizi Satias,
0:47
Speaker 1: chair of the Department of Informatics and Health Data Science
0:50
Speaker 1: at the University of Miami Miller's School of Medicine, and
0:53
Speaker 1: Ryan Litt, COO and co founder of three AM Innovations.
0:58
Speaker 2: MO.
0:59
Speaker 1: I know from years ago when we had a fascinating
1:01
Speaker 1: conversation about five G when that technology was in its infancy.
1:06
Speaker 1: Brian is from Buffalo and we shared a deep affection
1:09
Speaker 1: for the Buffalo Bills. And as Easy as will soon
1:12
Speaker 1: be obvious is Jamaica, which of course is the surest
1:16
Speaker 1: way to my heart. Anyway, we talked about some really
1:19
Speaker 1: cool applications of AI and five G and the way
1:22
Speaker 1: really smart people like Ryan and as Easy are using
1:25
Speaker 1: these technologies to solve some pretty hard and fascinating problems.
1:40
Speaker 1: Thank you. Hey everyone, we're all wearing our Should we
1:44
Speaker 1: just put our I know this is a podcast. You
1:46
Speaker 1: can't see it, but we're all wearing T mobile sneakers
1:49
Speaker 1: right now. I see two of us have got the
1:51
Speaker 1: Air Forces and then the others se converse converse. Yeah,
1:57
Speaker 1: so we're all representing the brand. I think very effective
1:59
Speaker 1: to hear. So we're here to talk about AI and
2:03
Speaker 1: five G. But what we're really here to talk about
2:06
Speaker 1: is something much simpler and more important than that is
2:08
Speaker 1: problem solve Right. All of you guys are people who
2:13
Speaker 1: basically solve problems for a living, and I wanted to
2:16
Speaker 1: start there, and maybe Ryan, you could kick us off,
2:20
Speaker 1: tell us a little bit about what you do, but
2:22
Speaker 1: then tell us about the problem you're trying to solve.
2:26
Speaker 3: Sure.
2:27
Speaker 2: So, when we think about emergency events and really at
2:31
Speaker 2: the majority of the world, the primary tool set that
2:36
Speaker 2: firefighters use is a radio to communicate their status to
2:40
Speaker 2: the outside operation. And I'm sure we can all imagine, however,
2:45
Speaker 2: you know, winding hallways, dense forests, black smoke, falling debris,
2:52
Speaker 2: pretty reasonable to expect that people can become disoriented, They
2:56
Speaker 2: can be a bit confused, and the issue for a
2:58
Speaker 2: firefighters when they're confused, inherently so is the rest of
3:02
Speaker 2: the operation.
3:03
Speaker 1: Yeah, wait before you go on, tell us a little
3:06
Speaker 1: bit about how how is it you landed in this
3:09
Speaker 1: particular world. Why is it you're thinking about this problem
3:12
Speaker 1: of the disorientation of the of the firefighter.
3:16
Speaker 2: Well, you know, ultimately when there's confusion, it ultimately leads
3:21
Speaker 2: to injury and sometimes death. So the true inspiration to
3:25
Speaker 2: our origin is in Buffalo, New York, there was a
3:28
Speaker 2: convenience store that was on fire, and you know, upon arrival,
3:32
Speaker 2: firefighters quickly got to trying to put out the fire.
3:35
Speaker 2: But the firefighter, the fire itself moved faster, so they
3:39
Speaker 2: had to call an evacuation pull everybody out, but they
3:42
Speaker 2: were unsure if everybody got out, so they assigned a
3:46
Speaker 2: team to go sweep the facility to try to rescue
3:49
Speaker 2: anybody remaining, and unfortunately the structure.
3:51
Speaker 4: Collapsed over top of them and killed them both. And
3:54
Speaker 4: when was this go ahead? Two thousand and nine.
3:57
Speaker 2: Yeah, And to make matters worse, there was nobody inside.
4:00
Speaker 2: They were just unsure. And so for us, it's no
4:03
Speaker 2: slight against them, but we just feel like they deserve
4:05
Speaker 2: better tools. There has to be more than what they
4:08
Speaker 2: have that rate. No slide against the radio either, but
4:11
Speaker 2: all of us are here because technology is flush in
4:14
Speaker 2: many other places and our belief as they deserve to
4:17
Speaker 2: have it too.
4:18
Speaker 1: Tell us how that company starts. Does it arise out
4:22
Speaker 1: of that particular incident, or I'm just curious about how
4:27
Speaker 1: you kind of evolved to the point where you were
4:28
Speaker 1: looking for solutions to that problem.
4:30
Speaker 3: Yees.
4:30
Speaker 2: So I mean that event was in two thousand and nine.
4:33
Speaker 2: We officially started in twenty seventeen, so there's a time
4:38
Speaker 2: and distance between those two things. My co founder Patrick
4:42
Speaker 2: is a volunteer firefighter, and he was constantly educated that
4:46
Speaker 2: if career firefighters, which to be clear for everybody, they
4:50
Speaker 2: are getting paid and work as a firefighter every day,
4:53
Speaker 2: but volunteers typically have a day job and then they
4:56
Speaker 2: get called to an emergency event in the middle of it.
4:58
Speaker 2: So the message was, if the career people can make mistakes,
5:03
Speaker 2: we're definitely going to be prone to making mistakes, so
5:05
Speaker 2: let's learn from this. And so Patrick kind of lived
5:08
Speaker 2: with for years in education and felt, come on, I
5:11
Speaker 2: got this iPhone in my pocket, there's got to be
5:13
Speaker 2: something more. And finally, by twenty seventeen, technology seemed to
5:18
Speaker 2: go in a place that made sense, and he had
5:20
Speaker 2: to find a partner to help him do it, and
5:23
Speaker 2: that's why we ended up pursuing it from there. So
5:25
Speaker 2: our original intent was to build technology to help them
5:30
Speaker 2: in these emergency events. The hard part, though, is an
5:33
Speaker 2: emergency is inherently chaotic, unpredictable, right, and all of a
5:38
Speaker 2: sudden we think, Okay, we're just going to repurpose technology
5:40
Speaker 2: that already exists and afford it to the fire service. Instead,
5:44
Speaker 2: we're at the edge of technology, actually pushing on capabilities that,
5:48
Speaker 2: according to colleagues and people that we worked with in
5:50
Speaker 2: NASA and DHS, didn't exist. So for example, like tracking
5:54
Speaker 2: someone's location when they are GPS denied, you know, helping
5:58
Speaker 2: communication to be shared when you were communication denied.
6:02
Speaker 4: It turned out that not many.
6:03
Speaker 2: People around the world were doing it, and at which
6:05
Speaker 2: point were we said, oh, this is going to be
6:07
Speaker 2: a lot more of a difficult endeavor than we had anticipated.
6:12
Speaker 4: So that's the origin of why we're here, is there.
6:15
Speaker 1: This is all super interesting and I want to come
6:18
Speaker 1: back in more detail after we've gone down the pen
6:20
Speaker 1: a little bit. But one thing I wanted to talk
6:22
Speaker 1: to you to talk about just a little bit, so
6:23
Speaker 1: we understand this. When you have a kind of fire
6:25
Speaker 1: that's out of control. The specific issue that you were
6:30
Speaker 1: trying to solve is that once someone a firefighter, entered
6:33
Speaker 1: the facility, you lost track of where that person was, right,
6:37
Speaker 1: and there was no existing system in place that would
6:40
Speaker 1: allow you to easily track that person.
6:44
Speaker 4: Correct.
6:44
Speaker 1: Yeah, And is it because of the the Is it
6:49
Speaker 1: because the fire had destroyed any kind of infrastructure that
6:53
Speaker 1: might make that possible, or is it just I mean
6:55
Speaker 1: was why is what's particularly hard about about tracking someone
7:00
Speaker 1: in the middle of a burning building?
7:06
Speaker 2: Well, circumstantially, it wasn't necessarily the case that comms are
7:09
Speaker 2: necessarily completely blown out. Not always the case, because sometimes
7:13
Speaker 2: the radio system continues to function. There are so many
7:17
Speaker 2: dynamics to the situation that for you to give someone
7:20
Speaker 2: a tool that you say universally will help you is
7:24
Speaker 2: a very precarious undertaking.
7:26
Speaker 5: Right.
7:26
Speaker 2: You have to handle in a large structure like we're
7:29
Speaker 2: in now, in a small structure in a suburban area,
7:31
Speaker 2: in remote areas and wildland fires and such, right, And
7:35
Speaker 2: it has to work on all of those places in
7:37
Speaker 2: order to work for a firefighter, because the modern firefighter
7:40
Speaker 2: experiences so much right, so, you know, chasing those problems fundamentally.
7:45
Speaker 4: Difficult, a lot of data, a lot of.
7:49
Speaker 2: Error, right, and you know you push hard to make
7:52
Speaker 2: sure that it's purpose built. So I think this is
7:55
Speaker 2: where the AI portion of our discussions makes sense.
7:58
Speaker 3: Right.
7:58
Speaker 2: It can help to interpret a lot of inputs and
8:02
Speaker 2: give us some simple surfacings and understandings that we can
8:05
Speaker 2: leverage from there.
8:06
Speaker 1: Yeah, well, I want you to respond to Ryan. And
8:12
Speaker 1: I'm curious whether did you when you when you when
8:15
Speaker 1: you started on this road, did you imagine you'll be
8:17
Speaker 1: having conversations with people like Ryan.
8:19
Speaker 3: I was certainly hopeful.
8:21
Speaker 6: Being able to serve the first responder community is such
8:26
Speaker 6: an important undertaking, you know, every single day to protect
8:30
Speaker 6: you and me, our families, our communities. And you know,
8:34
Speaker 6: from a te mobile for business perspective, how can we
8:37
Speaker 6: take this incredible best in the nation five G network
8:43
Speaker 6: and how can we harness some very specific capabilities to
8:48
Speaker 6: bring to life a solution that serves the first responder community?
8:52
Speaker 6: And you know, companies like Ryan's three a M. And
8:57
Speaker 6: just a few weeks ago now we launched what we
9:00
Speaker 6: call ty Priority, which brings not just the network which
9:06
Speaker 6: has forty percent more capacity, which means more firefighters and
9:11
Speaker 6: police and ems showing up at a location, are able
9:14
Speaker 6: to get on the network and do what they need
9:17
Speaker 6: to do. But then something that we call a slice,
9:21
Speaker 6: which is really a fancy technology term, which is, hey,
9:26
Speaker 6: can we create the a traffic cop if you will,
9:30
Speaker 6: a capability that as first responders are getting on the
9:35
Speaker 6: network that not only gives them the access to the network,
9:39
Speaker 6: priority access and then preemption access to essentially bump if
9:45
Speaker 6: you will, a commercial user off of the network, and
9:47
Speaker 6: that's been around for four, five, six, seven years at
9:50
Speaker 6: this point, but can we give them the ability then
9:53
Speaker 6: to manage that traffic and dynamically allocate the amount of
10:00
Speaker 6: capacity on the network to the first responders so that
10:04
Speaker 6: in these sorts of scenarios where extreme congestion can be
10:08
Speaker 6: a current, you know, like a trained railment or a
10:12
Speaker 6: massive natural disaster, et cetera, that we can essentially give
10:17
Speaker 6: up to one hundred percent of the network over to
10:19
Speaker 6: the first responders so that they can save lives.
10:22
Speaker 1: Yeah, I want to return to that, but I want
10:24
Speaker 1: to talk a little bit too. As easy you are
10:28
Speaker 1: tell us what you tell us your title of your job.
10:31
Speaker 5: So I currently serve as an interim chair for the
10:35
Speaker 5: Department of informatics and health data science, and I'm the
10:38
Speaker 5: phone and director of the Media and Innovation Lab, and
10:42
Speaker 5: I co lead a sleep on circadian science, and I
10:44
Speaker 5: lead Population health Informatics. So, not to be funny, but
10:47
Speaker 5: as a Jamaican we're known from multiple jobs. And yes,
10:52
Speaker 5: this is at the University of It is at the
10:53
Speaker 5: University of Miami. But you're a doctor by I'm PhD.
10:57
Speaker 5: I'm a clinical psychologist. But I lead many off the
11:01
Speaker 5: efforts at the university to lead digital transformation. And so
11:06
Speaker 5: I was recruited from an another large institution when I
11:11
Speaker 5: was at NYU School of Medicine to lead this effort
11:14
Speaker 5: at the University of Miami. And the reason why it's
11:17
Speaker 5: important is because the University of Miami really serves as
11:22
Speaker 5: the academic epicenter of the Southeast, particularly in Florida, and
11:27
Speaker 5: Miami in particular is really considered the gateway to the
11:33
Speaker 5: global South. For those of you are not familiar, the
11:36
Speaker 5: global SETH represents eighty percent of the world's population, yet
11:41
Speaker 5: as a euphemism, they're oftentimes seen as the poorest, less resource,
11:46
Speaker 5: particularly in healthcare. And so I was brought to lead
11:50
Speaker 5: that effort to create models that would be able to
11:53
Speaker 5: serve not just South Florida, but how it could be
11:57
Speaker 5: translated to similar socio economic deprived communities throughout Florida and
12:04
Speaker 5: then use it as a model to really do this
12:07
Speaker 5: in the global South.
12:09
Speaker 1: You at what point during your career did you realize
12:13
Speaker 1: that what you wanted to do is use technology to
12:15
Speaker 1: solve problems. I mean, you have a PhD in clinical psychology.
12:18
Speaker 1: You're not looking at AI and five G when you're
12:21
Speaker 1: doing a PhD.
12:23
Speaker 3: Well, you know, so, great question.
12:25
Speaker 5: So when I realized that technology was important was when
12:30
Speaker 5: I realized that many of the most vexing health care
12:35
Speaker 5: challenges that we saw in my own family, my grandmother
12:40
Speaker 5: who raised me, and we realized that there was just
12:43
Speaker 5: significant lack of resources. She had insurance, but what we
12:47
Speaker 5: saw was a significant gap in the continuity of care.
12:52
Speaker 5: And extrapolate in her experience to what I see when
12:55
Speaker 5: I go to barbershops, beauty salons, and faith based organizations.
13:00
Speaker 5: Because we're one of those folks who we like to
13:03
Speaker 5: be in the community that we don't believe in this
13:06
Speaker 5: sterile brick on mortar healthcare because we believe healthcare needs
13:09
Speaker 5: to be more And what we found out was that
13:12
Speaker 5: in order for us to meet the challenges that our
13:15
Speaker 5: nation and our globe sees that we either need to
13:19
Speaker 5: train a whole lot more healthcare practitioners, which we still
13:22
Speaker 5: need to do, but that was not going to be
13:25
Speaker 5: sufficient to close that gap in good time. So what
13:29
Speaker 5: we realized was that technology, though it is not a
13:32
Speaker 5: panacea that can cure all, was going to be the
13:35
Speaker 5: means by which we were going to be able to
13:37
Speaker 5: one provide the care that so many people desperately need,
13:42
Speaker 5: but also to provide adjunctive and supportive and augmentive care
13:47
Speaker 5: to healthcare provide us. And so technology became the means
13:51
Speaker 5: by which it would allow us to really extend our
13:54
Speaker 5: tentacles into places beyond that we thought were unimaginable.
13:59
Speaker 1: It gives a specific example, yeah, of a moment where
14:01
Speaker 1: you realized, oh, this is a NOTT we can only
14:05
Speaker 1: crack with technology.
14:07
Speaker 5: Yes, So we created our own remote health monitor and
14:10
Speaker 5: solution called the Mailbox, and we were funded to do
14:15
Speaker 5: some really novel research looking at cardiovascular health in urban
14:20
Speaker 5: and rural areas. And so, like most scientists, we don't
14:25
Speaker 5: care about you know, accolades per se. We just wanted
14:29
Speaker 5: to do the work and we did the work, and
14:31
Speaker 5: then COVID happened, and we went into someone's home because
14:36
Speaker 5: we would typically send out technicians.
14:38
Speaker 3: And I remember.
14:39
Speaker 5: Because she's part of our study, and because of hypo compliance,
14:41
Speaker 5: I can't say her name, but we'll call her Miss Jones.
14:45
Speaker 5: Miss Jones is a sixty year old African American woman
14:49
Speaker 5: lives in Brooklyn, and we call her Miss Jones. Such
14:53
Speaker 5: and such will be coming down there to do the study.
14:55
Speaker 5: And she said, Hey, honey, you ain't coming here at
14:57
Speaker 5: all because I ain't trying to get the RONA. And
15:01
Speaker 5: that allowed us to realize that how can we flip it?
15:06
Speaker 5: And that's what really spurred us into action quickly to
15:10
Speaker 5: create a remote health monitor and solution, knowing very well
15:14
Speaker 5: that it can be used for people. It's oftentimes said
15:19
Speaker 5: that since twenty sixteen, they're about one hundred and forty
15:21
Speaker 5: million emergency department visits and they're about sixty percent of
15:27
Speaker 5: global deaths that can be attributed to non communicable diseases
15:31
Speaker 5: like cardive metabolic health. And what are the biggest drivers
15:34
Speaker 5: of that? No healthcare right and people don't have access.
15:40
Speaker 5: So when we went to someone like Miss Jones and
15:42
Speaker 5: what we've seen beer out in our studies and what
15:45
Speaker 5: we've seen.
15:46
Speaker 3: We've seen another woman who she lives.
15:48
Speaker 5: In government housing in Florida and she would always go
15:52
Speaker 5: to her landlord because she had these respiratory illnesses and
15:56
Speaker 5: the landlord will push her aside and said, no, nothing
15:59
Speaker 5: is wrong. You're trying to evade pain your rent. And
16:01
Speaker 5: she's like, no, there's something wrong with you. You need
16:03
Speaker 5: to change something. And she was part of our study
16:07
Speaker 5: and we have as part of our remote health monitoring
16:10
Speaker 5: solution and air quality device and she was able to
16:13
Speaker 5: use that to show to her landlord that there is
16:16
Speaker 5: something significantly wrong in terms of mold.
16:19
Speaker 3: And so look at this.
16:21
Speaker 5: Many of us live in environments that we just trust
16:25
Speaker 5: that it has the right environment, it has.
16:28
Speaker 3: Everything, even if you have health care.
16:31
Speaker 5: And what we want to be able to do is
16:33
Speaker 5: to put a wearable on the environment, put a wearable
16:36
Speaker 5: on individuals, and it is facilitated through technology so that
16:41
Speaker 5: we can quantify, so that we can show and prove
16:44
Speaker 5: so that we can further empower our patients. That's just
16:47
Speaker 5: one example. There's another example as well, and one other
16:50
Speaker 5: woman who lives in a rural area in Florida, and
16:54
Speaker 5: went to the physician like most of us, and we
16:58
Speaker 5: get all of these print outs on our lab work
17:01
Speaker 5: and we don't know what they mean. Let's be real
17:03
Speaker 5: and not not to knock on my colleagues, but you
17:08
Speaker 5: will be very lucky if someone goes through with you
17:12
Speaker 5: what each measurement means. Right, So this is what happened.
17:16
Speaker 5: This woman went to her provider and the provider said,
17:20
Speaker 5: I think something is up with your heart. Something is
17:22
Speaker 5: up with your heart. Now, this is a woman who
17:24
Speaker 5: works two jobs, has three kids, so she was like,
17:27
Speaker 5: what should I do? Well, you should go ahead and
17:29
Speaker 5: see a cardiologist. Didn't provide the necessary handoff at all.
17:34
Speaker 5: And so here is it that we dropped the ball
17:37
Speaker 5: as a community that this lady just went off and
17:39
Speaker 5: just said, well, I guess something is wrong with my heart.
17:42
Speaker 5: You know, we'll see I'll go to the er, which
17:44
Speaker 5: is why we have so many er visits. And so
17:47
Speaker 5: what she was able to do by wearing one of
17:49
Speaker 5: our rings, she called us angry. She said, doctor Sashas
17:53
Speaker 5: your device is waking me up every ten minutes, I
17:57
Speaker 5: don't want to be part of your study anymore. When
18:01
Speaker 5: we looked at our command center and we saw what
18:04
Speaker 5: was happening. These lady oxygen levels were dropping below eighty
18:07
Speaker 5: percent critical. So what we ended up doing we said,
18:12
Speaker 5: you know what, we don't care about health care and
18:14
Speaker 5: insurance right now, we have a study physician. We connected
18:17
Speaker 5: her and she was able to see a cardiologist in
18:20
Speaker 5: no time. She called us crying, saying thank you very
18:23
Speaker 5: much because if she hadn't gotten that intervention, she probably
18:28
Speaker 5: would have died, and she should have left her kids orphans.
18:31
Speaker 5: This is what we've seen black and brown families all
18:33
Speaker 5: the time. It's not just a healthcare issue. She had
18:36
Speaker 5: health care, but are we able to connect the dots
18:39
Speaker 5: and we believe through technology we can have a physical
18:42
Speaker 5: in a box.
18:43
Speaker 3: To do with her.
18:43
Speaker 1: I want to come back to Ryaneah the same question.
18:46
Speaker 1: Let's talk about the technology here. Yeah, you gave her
18:49
Speaker 1: a ring. Yeah, like a describe this?
18:53
Speaker 5: Yeah, I mean yeah, I mean I have the ring here.
18:55
Speaker 5: But it's a ring that measures what we call cardiopulmonary coupling.
18:59
Speaker 3: Big terms, here's what it means.
19:02
Speaker 5: Typically, what happens is your respiratory system, your lungs operate
19:08
Speaker 5: in conjunction with their circuit ury system your heart. What
19:12
Speaker 5: ends up happening in between that. Physiology is so many things,
19:17
Speaker 5: and that's where we believe many of the illnesses that
19:20
Speaker 5: get undetected, that's where they surface, and they surface mostly
19:24
Speaker 5: in your sleep, so you will never feel those symptoms
19:27
Speaker 5: at all. So what we were able to do through
19:31
Speaker 5: the ring measuring CARDI Pullman recompany because your watch doesn't
19:34
Speaker 5: do that, because your watch only measures one or the other.
19:38
Speaker 5: We're able to measure the two and we're able to
19:40
Speaker 5: measure how the two interact and connect with each other.
19:44
Speaker 1: So this ring, is this an off the shelf thing
19:46
Speaker 1: or something you.
19:48
Speaker 5: We're trying to get it off the shelf, but it's
19:50
Speaker 5: more of a medical device. And there I say, it's
19:54
Speaker 5: not this any other but it's not as expensive as
19:57
Speaker 5: others we've worked with some other proprietary It is not
20:00
Speaker 5: as expensive.
20:00
Speaker 1: So you wear this ring and then it's connected to.
20:03
Speaker 3: What it's connected to.
20:06
Speaker 5: A cell phone that we provide, so it's tether so
20:10
Speaker 5: when you fall asleep, it hit start and it starts
20:13
Speaker 5: to measure. It can measure if you're at risk for
20:15
Speaker 5: sleep apnel. It can measure if you have significant oxygen
20:20
Speaker 5: you know, desaturation lowering the levels.
20:23
Speaker 1: And that data is coming back.
20:25
Speaker 5: Yes, so that data comes back to the command center
20:28
Speaker 5: that we are able to.
20:29
Speaker 1: See, which is at the University of which is at Yes.
20:32
Speaker 3: In our group at the University of Miami.
20:34
Speaker 1: And how many patients do you have on for example.
20:37
Speaker 5: Yes, So right now we're piloting this in our research studies.
20:40
Speaker 5: So we have fifteen hundred participants African American and Hispanics
20:44
Speaker 5: in urban and rural areas. And we've partnered with community
20:48
Speaker 5: health centers, federally qualified health centers. Oftentimes academic centers are
20:54
Speaker 5: the ones who are the ones who wave the flag
20:57
Speaker 5: of technology. What we said at the University of Miami
21:00
Speaker 5: is that we have to do more. That it is
21:03
Speaker 5: our vocation and it is our mission to really be
21:07
Speaker 5: that you know, supporting force. So we work with the
21:12
Speaker 5: largest free clinic in the state of Florida.
21:17
Speaker 1: We'll be right back with more from the panel. We're
21:33
Speaker 1: back with more Cattaba, Doctor as Easy, Satious and Ryan
21:37
Speaker 1: Lydd So walk us through how you use technology to
21:41
Speaker 1: answer those questions.
21:43
Speaker 2: I think that the place that we start, and as
21:46
Speaker 2: some of us in technology, because myself, you know, probably
21:50
Speaker 2: more of a technologist, it's to start with the person first, right,
21:55
Speaker 2: to observe, to understand, and then augment. But ideally we
21:59
Speaker 2: always say compliment, not complicate, Right, So if there's something
22:03
Speaker 2: that's already available, if.
22:04
Speaker 4: There are tools that are already there.
22:06
Speaker 2: Can we listen to those tools so that it can
22:08
Speaker 2: feel seem like to the first responder. The last thing
22:10
Speaker 2: we want them to do is be playing with new
22:12
Speaker 2: tech and buttons and other things to make their jobs
22:14
Speaker 2: even more complex. So we sought to make a more
22:18
Speaker 2: integrative solution, which therefore you know, five G and software
22:22
Speaker 2: and these sorts of things start to you know, form
22:25
Speaker 2: because it makes sense to do. We've thought a lot
22:28
Speaker 2: about bioindicators, like doctors talking about cardiac arrest is still
22:33
Speaker 2: one of the greatest killers in the fire service. Detecting
22:36
Speaker 2: blood oxygen levels would be amazing because if we could
22:40
Speaker 2: capture those things as a precursor, we could draw those
22:43
Speaker 2: individuals out before it's too late. The hard part is
22:45
Speaker 2: is the stressor it's such a high stress environment that
22:49
Speaker 2: we need the technology to get to a point where
22:52
Speaker 2: it can actually give us that accuracy when we need
22:54
Speaker 2: it and not tell us after the cardiac o rent
22:56
Speaker 2: has already happened. Oh you know, this person's about to
22:59
Speaker 2: have one. So for us we look at interfacing with
23:02
Speaker 2: other technology. But inevitably what got interesting is phones had
23:06
Speaker 2: a role to play, right and in a couple of
23:09
Speaker 2: different ways, one of which is the compute. All the
23:11
Speaker 2: things that phones can do for all of us in
23:13
Speaker 2: our daily lives, those are great assets and tools for
23:16
Speaker 2: the fire service. Right now, they literally have that radio
23:20
Speaker 2: I explained before, and rarely much else.
23:23
Speaker 4: So an example.
23:24
Speaker 2: I again, we're human centric, so we stay with people,
23:27
Speaker 2: we embed in fire stations. And I was following a
23:30
Speaker 2: fire chief and the alarms went off, and we went
23:33
Speaker 2: off to an emergency event, and I watched him as
23:36
Speaker 2: he pulled out two radios, turned each one to a
23:39
Speaker 2: different channel, placed them against his ears, and looked up
23:42
Speaker 2: at the event and proceeded to manage it. Manage it,
23:45
Speaker 2: in other words, keep it safe, you know, mitigate the emergency. Thankfully,
23:49
Speaker 2: everything was all clear, nobody got hurt. We went back
23:53
Speaker 2: to the station and I asked him, hey, Chief, have
23:55
Speaker 2: you taught yourself over the years to listen to two
23:57
Speaker 2: conversations at the same time? And he's like, nah, He's like,
24:01
Speaker 2: the intensity draws my attention, So he listens for the
24:04
Speaker 2: intensity of the voice to say this might be something
24:07
Speaker 2: it's time for me to listen.
24:08
Speaker 4: Oh, and that's so fascinating.
24:10
Speaker 2: Yeah, And the thought process was coming home, driving back
24:12
Speaker 2: to our headquarters in Buffalo is a bit of a drive.
24:15
Speaker 2: I thought computers don't have yours, Right, What about the
24:19
Speaker 2: idea of opening up a phone and allowing the phone
24:23
Speaker 2: to listen to as many conversations as maybe happening at
24:25
Speaker 2: any given time, and maybe take tay a little further.
24:28
Speaker 2: Instead of just listening for intensity, we can actually listen
24:31
Speaker 2: to that conversation and interpret it. And that was literally
24:34
Speaker 2: the dawn of us starting to use AI. And you know,
24:37
Speaker 2: when we think about other tools, what other tools do
24:39
Speaker 2: we have that can fundamentally bring that?
24:42
Speaker 1: So, just so I understand, we're at a complex fire scene.
24:46
Speaker 1: We have multiple firefighters, multiple people talking on radios. The
24:51
Speaker 1: guy in charge has going to make sense, has to
24:53
Speaker 1: coordinate all things going on. And you're saying, we could
24:57
Speaker 1: have AI listen to all of those conversations simultaneously and
25:02
Speaker 1: do what exactly prioritize them, summarize them. How does the
25:06
Speaker 1: AI interface with the human decision?
25:09
Speaker 2: Yeah, So the nice part is you can teach it
25:11
Speaker 2: for what you want to listen for so a lot
25:15
Speaker 2: of times there are operative words of concern that are communicated.
25:18
Speaker 4: They want to know when certain indicators happen.
25:20
Speaker 2: But let's be honest, the real thing that most people
25:23
Speaker 2: are looking for is when the firefighter is under duress,
25:26
Speaker 2: when the firefighters at risk of a loss of life,
25:29
Speaker 2: so may day, and these types of situations are pretty consistent.
25:33
Speaker 2: So the way we think about it is we take
25:35
Speaker 2: the communication standard operating procedure. How do people communicate officially
25:40
Speaker 2: through these radio systems?
25:41
Speaker 4: When do we know it's bad?
25:43
Speaker 2: Let's teach the AI to listen for that, and then
25:45
Speaker 2: that way we rise to the top. In a we
25:47
Speaker 2: have a software interface, of course, and the chief will
25:50
Speaker 2: see someone just said something that is of concern. They
25:53
Speaker 2: turn red, they glow, We show them where they're located,
25:56
Speaker 2: and then the chief can take it from there.
25:58
Speaker 1: So the chief's looking at his phone or is.
25:59
Speaker 4: He So the chief is actually looking at a tablet.
26:01
Speaker 2: A tablet just because you want a little bit more
26:04
Speaker 2: surface area to kind of be able to.
26:07
Speaker 1: In real time. The tablet is true ranking everybody and
26:10
Speaker 1: prioritizing the person who is in most distress or under
26:14
Speaker 1: the most stress.
26:14
Speaker 2: Yes, and then the other nice part with the phone,
26:16
Speaker 2: because of the amount of data that's available, we can
26:19
Speaker 2: localize people in three dimensional space, so we can actually
26:22
Speaker 2: show where they exist in the world, but inside even
26:25
Speaker 2: a given structure and with height considered.
26:28
Speaker 4: So that's where we fuse these things together.
26:31
Speaker 2: So we use some of the capabilities inside the phone,
26:33
Speaker 2: all the sensors, all the networks, and we can say, hey,
26:36
Speaker 2: this person's up here.
26:37
Speaker 4: Oh, by the way, through the AI, they.
26:39
Speaker 2: Said something that you need to know about, So now
26:42
Speaker 2: we can really localize this is where that person exists,
26:45
Speaker 2: and then from there they can decide what they want
26:47
Speaker 2: to do.
26:48
Speaker 1: Then well, I'm listening to these two Ryan and as
26:51
Speaker 1: Easy and I'm seeing so here are people in very
26:55
Speaker 1: specific corners of the world taking these technologies and making
27:01
Speaker 1: doing very very practical things with it. I'm curious how
27:05
Speaker 1: does T mobile interact in this are you? Are you
27:09
Speaker 1: a cheerleader? Are you an instigator? Are you? Are you
27:14
Speaker 1: the person who helps them? There must obstacles. I mean,
27:18
Speaker 1: you're changing the way people do business. I'm curious this
27:21
Speaker 1: team will play a role in kind of how would
27:23
Speaker 1: you characterize what you yes your partnership.
27:26
Speaker 3: At the end of the day.
27:28
Speaker 6: What we love to do is to visit with business
27:31
Speaker 6: customers on what's your challenge, like, what is the heart
27:36
Speaker 6: of what you're trying to accomplish with your solution, your product,
27:40
Speaker 6: your service, and how can we build capabilities in and
27:46
Speaker 6: around our network that really support that. So as an example,
27:51
Speaker 6: and I can touch on both of the use cases
27:54
Speaker 6: that have come up in the last few minutes, but
27:56
Speaker 6: talking about Ryan in three AM for just a moment,
27:59
Speaker 6: I love the conversation really oriented around Hey, as you
28:03
Speaker 6: think about your platform and the situational awareness that you're
28:07
Speaker 6: trying to give the chief or whoever's doing command and
28:10
Speaker 6: control of that specific situation, how can we leverage both
28:13
Speaker 6: devices where whether it's wearables that give you insights if
28:18
Speaker 6: a person can't even talk, perhaps smoke inhalation and they've
28:22
Speaker 6: fallen and okay, now I need to know, hey, they're
28:24
Speaker 6: not moving, how's.
28:25
Speaker 4: That information coming back?
28:27
Speaker 6: Using the devices for things like both near field communications
28:31
Speaker 6: and barometric pressure, which has been in the phones for
28:35
Speaker 6: six seven years. Again at this point, that lets you know, hey,
28:39
Speaker 6: not only the X and Y axis of where they are,
28:41
Speaker 6: but how many floors up on a building are they
28:44
Speaker 6: which is incredibly important for firefighters, and then over time
28:49
Speaker 6: we're also going to be enabling API access into the network.
28:54
Speaker 6: We've announced this, it's coming out in the near future,
28:57
Speaker 6: which will allow the three AM platform to enhance all
29:01
Speaker 6: of the capabilities they already have around things like even
29:05
Speaker 6: more precise location, quality of service. Hey, I'm in the building,
29:09
Speaker 6: it's burning. I need to dial up the network resources
29:12
Speaker 6: to support everything that's happening there. It's the number one thing.
29:16
Speaker 2: What does API mean by the way, Application programming interface?
29:20
Speaker 4: Thank you very much.
29:21
Speaker 6: It's basically, in plain English, a way of building a
29:27
Speaker 6: door so that someone else's platform can come knock on
29:30
Speaker 6: the door, the door is opened, and we give them
29:32
Speaker 6: very specific capabilities on things that they can do with
29:36
Speaker 6: network resourcing in real time quality of service, location, application support.
29:43
Speaker 1: So you make we have this complicated thing situation happening
29:48
Speaker 1: and at various moments we want to use as many
29:53
Speaker 1: resources as possible to answer very specific and problems, and
29:57
Speaker 1: you're divert you're making sure that necessary network resources go
30:02
Speaker 1: to the right place at the right time.
30:03
Speaker 6: Exactly all of these at at the heart of it's
30:06
Speaker 6: setting aside. The technology is ways of in suring that
30:09
Speaker 6: you're diverting or allocating the right amount of resources to
30:14
Speaker 6: a given use case so that the first responder or
30:18
Speaker 6: the doctor, or the mobile network that's enabling you know,
30:22
Speaker 6: this clinical health that scaled, no matter where you happen
30:25
Speaker 6: to be in America is available for them to be
30:27
Speaker 6: able to do that thing.
30:29
Speaker 1: I read the study recently, a couple weeks ago, maybe
30:32
Speaker 1: no less in it, so you may have seen it.
30:34
Speaker 1: It was some study talking about an AI diagnostic tool
30:40
Speaker 1: for doctors. Did you guys see this? And it's like,
30:43
Speaker 1: Arm number one was the doctor all by himself does
30:46
Speaker 1: a diagnosis and they're like seventy two percent, right. Arm
30:49
Speaker 1: number two is doctor plus AI and it was seventy seven.
30:54
Speaker 1: Arm number three was AI alone and it was ninety two.
30:58
Speaker 1: And the concusion study was we gave doctors these tools
31:02
Speaker 1: and most of the time they didn't want to use them.
31:04
Speaker 1: So I'm curious about that problem in your worlds when
31:10
Speaker 1: do you get pushed back? Are you sure that you've
31:13
Speaker 1: given a marvelous suite of tools to people out in
31:17
Speaker 1: these fields? Do they use them? Is there a roadblock there?
31:20
Speaker 3: And I can comment on that.
31:22
Speaker 5: So I know that study very well because there's some
31:25
Speaker 5: of my colleagues who did that work really Yeah. So
31:29
Speaker 5: so here here's in terms of pushback, definitely, And I
31:32
Speaker 5: think what in healthcare one of the things that we
31:35
Speaker 5: get pushed back around is our own data privacy security.
31:38
Speaker 5: That is huge, particularly for information technology departments. But what
31:45
Speaker 5: we have done, because we know that that there is
31:48
Speaker 5: going to be some this is disruptive technology and we
31:52
Speaker 5: have to be able to better socialize it, we have
31:54
Speaker 5: led an entire year off what we call innovation retreats
31:58
Speaker 5: at the University of Miami so that we can give
32:02
Speaker 5: it to them in bite size format, so that they
32:05
Speaker 5: understand that it's not just focused on the technology, but
32:09
Speaker 5: how is it that we can actually help to solve
32:12
Speaker 5: what they're doing.
32:12
Speaker 3: And so when we broadish.
32:14
Speaker 1: Day that you're talking about clinicians.
32:16
Speaker 5: Clinicians and not just clinicians, because I think when you're
32:19
Speaker 5: talking about healthcare, let me just kind of deconstruct behind
32:24
Speaker 5: that provider, you have administrative staff, billing, you know, scheduling
32:31
Speaker 5: all of those people who are critical to ensure the operations,
32:35
Speaker 5: and particularly some of those operations are very mundane and
32:39
Speaker 5: very time consuming, and it collects a lot of data
32:43
Speaker 5: and therefore, as a result, it can lead to a
32:45
Speaker 5: tremendous amount of error. So what we're trying to do
32:48
Speaker 5: and what we did, was to lead this digital innovation transformation,
32:53
Speaker 5: set off retreats, focusing on the problem, trying to understand
32:56
Speaker 5: what their pain points are, and then have the technology
33:01
Speaker 5: come second, or have the technology come last.
33:04
Speaker 1: Give me an example of what someone's pain point might be.
33:07
Speaker 1: What's what's an objection you?
33:09
Speaker 5: Yeah, yeah, So for example, digital literacy, some provide us
33:17
Speaker 5: unfortunately are stuck in their ways. They believe that they
33:20
Speaker 5: want to feel and touch the patient as they should,
33:23
Speaker 5: and we're not saying what we're proposing is we're not
33:26
Speaker 5: saying that they shouldn't do that. But I think some
33:30
Speaker 5: of them have a form of technophobia as well. And
33:34
Speaker 5: by digital literacy, I'm talking you know, they may feel
33:37
Speaker 5: as if they don't know or they may not be
33:39
Speaker 5: as fascile in working some of the technology. So we
33:42
Speaker 5: really peer it down, you know, for them, and I
33:45
Speaker 5: think some of the technology I think some pushback as well.
33:49
Speaker 5: I think many people, especially in the community that we serve,
33:52
Speaker 5: many people believe, and it's an important issue, that access
33:55
Speaker 5: is a huge issue for their patients. So they may
33:58
Speaker 5: say well, my patient doesn't have a cell phone, and
34:01
Speaker 5: I'm like, we push back and said, actually, the Pew
34:04
Speaker 5: says ninety two percent of the US population, particularly low
34:08
Speaker 5: income folks, actually have a smartphone or some form of
34:12
Speaker 5: mobile device. No, it's a different thing when we're talking
34:16
Speaker 5: about do they know how to use it? Do they
34:18
Speaker 5: know how to optimally use it as well? And this
34:20
Speaker 5: is what we do as well. We provide training to
34:22
Speaker 5: patients as well as to how to use it as well.
34:25
Speaker 5: So those are some of the unique pushbacks. And then
34:27
Speaker 5: obviously data, where do my data go? And provide us
34:31
Speaker 5: ask those questions as well. And I think this is
34:33
Speaker 5: why having very robust secure environments is important times. So
34:39
Speaker 5: similar to what we do, especially with the mailbox, we
34:42
Speaker 5: have about seven or so devices that they were not
34:45
Speaker 5: built to communicate with each other. So, you know, the
34:48
Speaker 5: API is another thing and we call it handshakes, you know.
34:51
Speaker 5: And what we try to do is we said we
34:54
Speaker 5: wanted to create a remote health monitoring solution that's like
34:57
Speaker 5: the Walmart version because typically when you look at remote
35:00
Speaker 5: health monitoring solutions are very expensive and quite proprietory. We
35:04
Speaker 5: want providers and we want provide us and patients to
35:07
Speaker 5: be empowered that bring your own device, whatever device you have,
35:11
Speaker 5: as long as it actually has the necessary API connectivity,
35:16
Speaker 5: then we'll be able to collect to those dat So
35:17
Speaker 5: those are some of the pushbacks that we've experienced.
35:20
Speaker 1: Ryan, Do you surely this must be I mean, you're
35:24
Speaker 1: entering a field that has been fighting virus in the
35:28
Speaker 1: same way for a very very long time.
35:30
Speaker 4: Yeah.
35:30
Speaker 2: Hate the way things are, but hate change probably even more.
35:34
Speaker 2: That's they're saying, not mine, I bros. The first place
35:38
Speaker 2: that it started was absolutely social media. The biggest fear
35:41
Speaker 2: in the fire Service about even bringing a phone into
35:44
Speaker 2: the mix, or let's call it a smart device, is
35:46
Speaker 2: the propensity to share this information publicly. But the reality was,
35:49
Speaker 2: I reminded them when you go to a supermarket, you
35:52
Speaker 2: know the kids that are ringing up your groceries. That's
35:55
Speaker 2: a Windows computer, but they're not cruising around on social media.
35:58
Speaker 2: We can configure the device to only do the thing
36:01
Speaker 2: you wanted to do, so we can take advantage of
36:04
Speaker 2: the capability.
36:05
Speaker 4: So that was the first obstacle, and.
36:06
Speaker 2: Now that we deal with AI, the big one is
36:09
Speaker 2: hallucination and inaccuracy naturally right, well, great, I like this idea,
36:14
Speaker 2: But what happens if it's wrong? And I think, to
36:17
Speaker 2: quote a chief that I work with at the Philadelphia
36:20
Speaker 2: Fire Department, he actually wrote his thesis on leveraging AI
36:25
Speaker 2: in the Philadelphia Fire Department and beyond. And his argument
36:29
Speaker 2: was decision support not to make the decisions for you,
36:33
Speaker 2: not to ask it, and you shall receive and just
36:35
Speaker 2: do what it says. Have it, go retrieve the things
36:38
Speaker 2: that you need. Right, and so this concept of augmented
36:41
Speaker 2: retrieval giving it domain specific knowledge.
36:44
Speaker 4: Here is something about what you're dealing with. Let me go.
36:47
Speaker 2: Find the best information and present it to you so
36:50
Speaker 2: that you can decide from there. I think those bits
36:53
Speaker 2: are the essential. And then lastly, absolutely for all of
36:55
Speaker 2: us as security. So the nice part is Microsoft and
36:58
Speaker 2: some of these groups have made sort of enterprise contained AIS,
37:02
Speaker 2: so we're not dispersing this throughout some central knowledge. This
37:06
Speaker 2: is specific to the fire department, which in our perspective
37:09
Speaker 2: it helps accuracy to go actually up.
37:11
Speaker 1: But when you go out on someone from three am
37:14
Speaker 1: goes out on a sales call, you go and visit
37:16
Speaker 1: a fire department somewhere and you say, we have this
37:20
Speaker 1: whole set of ideas to solve some problems for you.
37:23
Speaker 1: You have your conversation with the chief, who you've never
37:25
Speaker 1: talked to before. What does the chief say?
37:29
Speaker 2: The chief is immediately any single time it has to
37:32
Speaker 2: do with safety of their firefighters, they're obviously compelled to listen.
37:37
Speaker 2: The hard part, I think really is how much change
37:39
Speaker 2: is this going to bring to my organization? Other words,
37:41
Speaker 2: how much friction is me implementing this technology going to bring?
37:45
Speaker 2: And so one of my proudest moments, which sounds super innocuous,
37:48
Speaker 2: we did the fourth of July and it was hundreds
37:50
Speaker 2: of people and they all forgot they had the device.
37:53
Speaker 2: And I was super happy, right because it became invisible.
37:57
Speaker 2: And if we can do that, you know, the obstacles
38:01
Speaker 2: are sort of overcome. Right, So the idea of automation
38:04
Speaker 2: and streamlining all of this contextually, just put the smart
38:07
Speaker 2: thing in your pocket, don't worry about anything else. That's
38:10
Speaker 2: our fundamental goal, and that's the way that we overcome
38:13
Speaker 2: those objections.
38:14
Speaker 1: All these innovations have multiple constituencies, right right, And I
38:21
Speaker 1: wonder if you can sort of appine on this. This
38:24
Speaker 1: must be a kind of perennial issue for anyone who's
38:28
Speaker 1: like T mobile who is driving innovation is to ask yourself,
38:32
Speaker 1: who's the customer here? Right? Do you have these do
38:36
Speaker 1: you face this kind of tension between who? Is it
38:40
Speaker 1: important to clarify who we're serving with this innovation before
38:44
Speaker 1: you go down the road towards pushing the innovation.
38:47
Speaker 6: It really goes back to, if you will, selling through curiosity,
38:52
Speaker 6: meaning when you're sitting down with the customer, you're trying
38:55
Speaker 6: to understand what it is that they're trying to accomplish
39:00
Speaker 6: and is it for their employees, is it business to
39:03
Speaker 6: business to consumers or is it their end consumer that
39:06
Speaker 6: they're trying to solve the problem and then designing the
39:10
Speaker 6: solution to that meet that need. Going back to your
39:14
Speaker 6: AI study example just a few minutes ago, like this
39:19
Speaker 6: is what I love about what we're here today to
39:21
Speaker 6: celebrate is unconventional thinking, which inherently is what is to
39:28
Speaker 6: the left of me here today with you know, doctor
39:30
Speaker 6: Azezy and Ryan is individuals that looked at the industries
39:34
Speaker 6: in which they were working and thought there is a
39:37
Speaker 6: better way. I don't care how our industry has done
39:41
Speaker 6: it before, and can I build something that drives that outcome?
39:45
Speaker 3: I mean with doctor as easy.
39:47
Speaker 6: Clinical studies invariably have been at a some central location,
39:53
Speaker 6: and what that means is that marginalized groups, underserved groups
39:58
Speaker 6: were being underserved. And so the problem statement was, hey,
40:03
Speaker 6: can we bring together low cost medical devices, stitch them
40:08
Speaker 6: toge gather with a connectivity solution which then in real
40:12
Speaker 6: time will send that information back one so that we
40:16
Speaker 6: can learn more on how to better serve these groups.
40:18
Speaker 6: But in the case of the cardiacc patient that you
40:21
Speaker 6: were talking about a little bit ago.
40:23
Speaker 4: Also save lives.
40:24
Speaker 6: So that's the heart of it for me is I love, love,
40:28
Speaker 6: love visiting with businesses that are thinking unconventionally innovatively, and
40:35
Speaker 6: then how can we build something with them to drive
40:40
Speaker 6: the outcome, which may be the business or in this
40:42
Speaker 6: case is the end person that's part of the clinical trial.
40:48
Speaker 1: Two to ask questions we're sadly running in time, but
40:50
Speaker 1: two us questions to both of you. I'm curious about
40:54
Speaker 1: how you measure success. So you, Ryan, you've given this
41:00
Speaker 1: marvelous tool to people in very high stressed situations, and
41:05
Speaker 1: intuitively we would say you've made you bade their the
41:11
Speaker 1: job of the of fighting the fire better easier. But
41:16
Speaker 1: how do you know how do you know that's true.
41:18
Speaker 1: A And how do you know how much you've improved?
41:20
Speaker 1: I mean, do you actively go out and collect data
41:25
Speaker 1: or feedback or something from the field to understand that
41:28
Speaker 1: the magnitude of the impact you're having.
41:31
Speaker 2: It's a great question, and I get really fired up
41:35
Speaker 2: because competitors or people in the space throw vanity metrics
41:39
Speaker 2: around and they try to tell first responders this is
41:42
Speaker 2: how much time and how many lives they're going to save,
41:44
Speaker 2: and that's a ridiculous concept. It's all relative, right, So
41:49
Speaker 2: to your question, you know, for example, I was at
41:51
Speaker 2: a major event. It was actually a marathon, so there
41:54
Speaker 2: are a lot of medical issues people that go into
41:57
Speaker 2: cardiac arrest and over exhaustion, and there were code blues,
42:01
Speaker 2: which means this person is critical. If we don't get
42:04
Speaker 2: to the hospital immediately, they will likely die. And immediately
42:09
Speaker 2: they go the tool And to your question, is you
42:11
Speaker 2: brought up earlier about screens and distraction. We are infinitely
42:14
Speaker 2: obsessed with that. The reason why I think automation and
42:17
Speaker 2: AI is interesting is because it can be in the
42:19
Speaker 2: background and there when you need it.
42:21
Speaker 4: That's how we view it.
42:22
Speaker 1: So what is instance the tool selling is putting the
42:25
Speaker 1: code blues at the top.
42:26
Speaker 2: Well, so they're putting it up, code blue gets called in.
42:29
Speaker 2: They immediately look at their people on the map and
42:32
Speaker 2: typically they would have emergency resources that are assigned to
42:35
Speaker 2: specific areas for an event, and you would just say, okay,
42:38
Speaker 2: send you know, ISP two.
42:40
Speaker 4: That's where they're going to go.
42:41
Speaker 2: But instead they're all the way three blocks down, and
42:44
Speaker 2: now that you've made that assignment, it's going to take
42:46
Speaker 2: them three blocks to get to the patient. By the
42:48
Speaker 2: time you get their oxygen has been denied from the
42:50
Speaker 2: brain for too long and we've lost the patient, right,
42:54
Speaker 2: So instead they say no, no, no, no, ISP three, you
42:56
Speaker 2: turn around. I literally watched them and they coach them
42:59
Speaker 2: back and that incident command to look to me goes.
43:01
Speaker 2: Your tool has been instrumental today. So those are those
43:03
Speaker 2: moments where we saved a life.
43:05
Speaker 1: Precision, the precision with which you can you can allocate
43:09
Speaker 1: resources to the problem is greater.
43:11
Speaker 2: Here, right, Yeah, So in those moments, those are those
43:15
Speaker 2: things that that sort of matter, right, And to your
43:18
Speaker 2: question though, on how do we you know, sort of
43:21
Speaker 2: bring it back to people to show them the impact
43:24
Speaker 2: it's driving Again, I think usage creates value. The more
43:28
Speaker 2: you use it the more it's valuable to you. Why
43:31
Speaker 2: because we actually document all data for all events forever.
43:35
Speaker 2: And then what you can do is you can scrub
43:37
Speaker 2: through it and go back in time from years ago
43:40
Speaker 2: and say what happened at exactly the three minute mark
43:42
Speaker 2: on this particular event. You can pose it almost like
43:45
Speaker 2: the matrix and spin it around and look at it,
43:48
Speaker 2: look at all the information that was presented, and that
43:51
Speaker 2: becomes mission critical for evolving your best practices, you know,
43:55
Speaker 2: things of that.
43:56
Speaker 1: It becomes a learning tool.
43:57
Speaker 3: Then.
43:58
Speaker 1: Yes, in addition to real to its real time importance,
44:01
Speaker 1: it has a kind of retrospective importance that you can
44:04
Speaker 1: leverage that data to kind of figure out how to
44:05
Speaker 1: do a better job.
44:06
Speaker 2: And the big piece that I think will triage into
44:08
Speaker 2: a ZAS is that our greatest goal here is a
44:11
Speaker 2: safe first responder. Is a safe society is or safe communities.
44:16
Speaker 2: If we keep them safe, the rest of us are
44:18
Speaker 2: in a much better position. The sad part is the
44:21
Speaker 2: average life expectancy of a firefighter sixty one years of age.
44:24
Speaker 4: Cardiac arrest being a big driver.
44:26
Speaker 2: Cancer is really crawling up there though, and we have
44:29
Speaker 2: all other terminal diseases that come later in life. Right,
44:32
Speaker 2: So our goal is over time throughout your career, because
44:36
Speaker 2: we capture all of this data, and because we could
44:38
Speaker 2: cross reference with medical professions exactly as a diseas he's
44:41
Speaker 2: talking about, Hey, you spent one thousand hours in that
44:44
Speaker 2: facility that has now been discovered to contain carcinogens. Now
44:48
Speaker 2: the medical practitioner can do things on a preventative care
44:51
Speaker 2: standpoint so that we can get ahead of that and
44:53
Speaker 2: make sure that firefighters live along in healthy life. So
44:56
Speaker 2: to me, that is that ultimate goal.
44:59
Speaker 1: It's easy. I'm almost more interested in you responding to
45:03
Speaker 1: what Moe was saying about decentralization and why that's I
45:07
Speaker 1: think that's actually a lovely place to to end this conversation,
45:13
Speaker 1: because it does strike me as I've listened to both
45:17
Speaker 1: of you that there is something there is a real
45:21
Speaker 1: revolution here in the way data is being collected and
45:26
Speaker 1: used and how we're learning from it. But the decentralization
45:29
Speaker 1: piece has a kind of social and almost political importance, right,
45:37
Speaker 1: It's like it's something high So talk a little bit.
45:40
Speaker 1: This is what you've managed to do to You've now
45:42
Speaker 1: decentralized the collection of medical information from people and the
45:46
Speaker 1: conduct of studies. What does that mean for fairness and society,
45:50
Speaker 1: for the quality of the data we're collecting, for the
45:54
Speaker 1: way people perceive the medical care system. It's a big deal.
45:57
Speaker 3: It's huge.
45:58
Speaker 5: That's a great question, Thanks for asking. We believe that
46:03
Speaker 5: most of healthcare occurs outside of the brick on more
46:06
Speaker 5: to healthcare, and what would often happen is that we
46:10
Speaker 5: would get these findings that are artifacts. So for example,
46:14
Speaker 5: if you go to you know, your provide on your
46:16
Speaker 5: blood pressure is high, are you considered hypertensive or is
46:21
Speaker 5: it just artifactual right because of the fact that you know, people.
46:25
Speaker 3: Are stressful and the like.
46:27
Speaker 5: What we're thinking, what we know, what we're doing is
46:30
Speaker 5: that we are actually connecting the dots in between visits
46:33
Speaker 5: what we call real world data. We want to study
46:37
Speaker 5: the human being in the wild, not in some kind
46:40
Speaker 5: of artificial setting, and that allows us to be more fair,
46:44
Speaker 5: but it also allows us to be far reaching as well.
46:48
Speaker 5: Why one of the things that I hadn't shared and
46:50
Speaker 5: I'll share this know is that at the end of
46:53
Speaker 5: this we're going to be creating digital twins of each person.
46:57
Speaker 5: What does that mean we can know exactly what someone's
47:01
Speaker 5: biological algorithm is based on sensing data as well as
47:05
Speaker 5: blood work that we're collecting.
47:07
Speaker 3: What does this mean.
47:08
Speaker 5: It means we can anticipate what comes next or even
47:11
Speaker 5: before it happens. But from a fearness standpoint, this allows
47:16
Speaker 5: us to really get into all crevices, all the areas,
47:20
Speaker 5: all underserved communities that were left by the wayside. So
47:25
Speaker 5: for US metrics or success, I've never led us study
47:29
Speaker 5: where the recruitment has been so great. And this is
47:32
Speaker 5: the this is why, you know, one of the biggest
47:34
Speaker 5: journal science learned about what we were doing and wanted
47:37
Speaker 5: us to document that because typically when people innovate, the
47:41
Speaker 5: innovate for the haves and have mores. We fundamentally believe
47:45
Speaker 5: that if we innovate for the have nots, that it
47:48
Speaker 5: would allow us to scale much better and it would
47:50
Speaker 5: have far more rich and more applicability. So from an
47:54
Speaker 5: ethics and an equitable standpoint, so that's why we dubbed
47:57
Speaker 5: what we call health tequity. Right, We've been talking about
48:01
Speaker 5: this with the American Art Association. It's a real deal
48:04
Speaker 5: though that we believe that at the intersection, at the
48:09
Speaker 5: nexus of equity and technology, that we could exacerbate health
48:14
Speaker 5: care issues or it could be cure, we could mend it,
48:18
Speaker 5: and we're saying that we want to be the ones
48:21
Speaker 5: and so for us, here's what we're doing already. We're
48:24
Speaker 5: screening people for Alzheimer's disease much earlier using augmented reality
48:28
Speaker 5: where we can determine if someone is going to get
48:31
Speaker 5: Alzheimer's disease six to ten years before age of onset.
48:35
Speaker 5: We're providing virtual reality solutions to black and brown Black
48:39
Speaker 5: on brown moms who have no tourists been known to
48:42
Speaker 5: have a huge epidemic in maternal mental health at Maternal Health,
48:46
Speaker 5: we're providing that to a freugh of folks. We're reaching
48:50
Speaker 5: out and providing it to over three thousand kids in
48:52
Speaker 5: the state of Florida because sixty eight percent of families
48:55
Speaker 5: don't live near a licensed mental health practitioner. And we're
49:00
Speaker 5: also building the next generation of technologies on health care
49:03
Speaker 5: provide us so that we know can have a provider,
49:07
Speaker 5: we can listen because typically when you go to your provider,
49:11
Speaker 5: what are they doing? They're writing notes and there's no
49:13
Speaker 5: eye contact. No. We can use AI and ambient technology
49:17
Speaker 5: to capture all of those data so that your provider
49:21
Speaker 5: can be with you more in a more human human way,
49:26
Speaker 5: and that's.
49:26
Speaker 3: What it will allow us to do. So that's how we.
49:29
Speaker 5: Measure metrics of success, and I think that's where the
49:32
Speaker 5: ethics lies as well, restoring the humanity in medicine. Oftentimes
49:37
Speaker 5: people think that when you use technology that it actually
49:41
Speaker 5: effaces the human. What we're trying to do is that
49:44
Speaker 5: we believe that technology can allow us to make healthcare
49:49
Speaker 5: more human again, restoring the soul and reclaiming the soul
49:53
Speaker 5: of healthcare through technology.
49:55
Speaker 3: That's our thesis.
49:56
Speaker 1: Yeah, that's really beautiful. I will say just one last note.
50:02
Speaker 1: The whole time you guys were talking, I was having
50:05
Speaker 1: these kinds of absurd fantasies about how I, as I
50:10
Speaker 1: am a parent of two girls, how I could use
50:14
Speaker 1: both of your technologies to uh helicopter parent. I give
50:20
Speaker 1: them a wearable, they would monitor everything. I'd be listening
50:23
Speaker 1: to all their conversations, and I just walk around with
50:26
Speaker 1: Ryan with one of your with one of your tablets,
50:30
Speaker 1: and every they were just like highlight if there's ever
50:33
Speaker 1: any kind of problem. But this has been absolutely fascinating.
50:38
Speaker 1: I don't I feel we could have gone on and
50:39
Speaker 1: on and on for another hour. But I think what
50:42
Speaker 1: you've done is just given us a little glimpse into
50:45
Speaker 1: how human ingenuity is using technology in utterly unexpected ways.
50:54
Speaker 1: And I think that's it's a it's it's a beautiful
50:57
Speaker 1: story that needs to be told, and I'm that we're
50:59
Speaker 1: telling it.
51:00
Speaker 3: Thank you, thank you, thank you, thank you.
51:09
Speaker 1: Thanks for listening to this special episode brought to you
51:12
Speaker 1: by T Mobile for Business. Special thanks to our guests
51:16
Speaker 1: Mokattaba T Mobile for Businesses Chief Marketing Officer, Ryan Litt,
51:21
Speaker 1: chief operating Officer and co founder three A M Innovations,
51:25
Speaker 1: and doctor Azizi Satias, Chair of the Department of Informatics
51:29
Speaker 1: and Health Data Science at the University of Miami School
51:32
Speaker 1: of Medicine. And special thanks to the entire production crew
51:36
Speaker 1: at iHeartMedia. This episode was produced by Nina Birgh Lawrence
51:40
Speaker 1: with Lucy Sullivan and Ben Nadaf Haffrey. Editing by Karen
51:44
Speaker 1: Schakerji mastering by Sarah Bruguer. Special thanks to Lou Carloso
51:49
Speaker 1: for on site recording. Our executive producer is Jacob Smith.
51:55
Speaker 1: I'm Malcolm Lapa