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Transforming Underserved Communities Around the Globe | National Geographic - Video học tiếng Anh
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Transforming Underserved Communities Around the Globe | National Geographic
Transforming Underserved Communities Around the Globe | National Geographic
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Phụ đề (106)
0:09
There’s an identity crisis in global health.
0:21
850 million people
0:22
all around the globe
0:24
don't have any formal recognition whatsoever.
0:28
That's no birth certificate,
0:30
no national insurance
0:32
or social security number.
0:35
This makes them functionally invisible
0:37
in the eyes of governments
0:39
and the eyes of many of the systems
0:40
that are there to protect them.
0:43
With Simprints,
0:44
our goal is to make sure that
0:46
everyone, everywhere
0:48
no matter where they’re born in the world
0:50
has access to
0:51
digital ID’s and
0:53
life saving healthcare.
1:03
Osiabura is...
1:05
a very typical Ghanaian rural community
1:07
where everyone knows each other.
1:10
You’ll find children playing
1:11
football,
1:12
volleyball,
1:14
girls plaiting their hair,
1:16
children running around.
1:18
It’s a very very lively community.
1:21
Osiabura is one of
1:23
thousands of towns across Ghana
1:25
and all over the world
1:27
where Simprints is helping health workers
1:29
accurately identify their patients
1:31
and link them
1:32
to the right medical records
1:33
so that mums and dads can know
1:34
their kids are staying healthy.
1:38
What’s unique about the Simprints Arm partnership
1:40
is that we’re working to ensure
1:42
our technology is specifically configured
1:46
for the unique characteristics
1:47
of the local population.
1:49
Using Arm compute power and AI,
1:52
we're assembling a training dataset
1:54
for machine learning
1:55
that takes a really diverse
1:56
cross-section of infants.
1:58
We use existing smartphone and tablet cameras
2:02
to be able to take a combination of the face,
2:04
ear and even the sole of their feet
2:07
to predict how that infant will grow,
2:09
so when the algorithm sees them again,
2:12
say, in 3 to 6 months time,
2:14
we're able to recognize them
2:15
and link them back to that original health record.
2:18
This is a tiny amount of software,
2:20
using really high energy efficient technology.
2:24
That means it can literally reach
2:26
the most remote communities
2:27
all over the world.
2:29
I think ten years ago
2:30
this would have been science fiction.
2:32
It wouldn’t have been something
2:32
that any team anywhere in the planet
2:35
was able to do.
2:36
It's going to help us to know
2:38
every history about the clients,
2:40
especially the children.
2:42
When they come, we know their schedules.
2:44
So we know that this particular child,
2:46
this is what I'm supposed to give
2:48
at this particular time.
2:56
When you have this near real time data
2:59
from multiple clinics,
3:01
multiple sources all over the country,
3:03
you can paint a really accurate map of coverage,
3:06
which kids have been vaccinated
3:07
and which kids are potentially falling behind.
3:09
Simprints is a key partner for Arm because
3:12
they are working with governments
3:14
on how they can analyze
3:16
that data
3:16
and distribute their resources
3:18
in a more efficient way.
3:19
We're working directly
3:20
with the Ministry of Health in Ghana
3:22
and many other countries
3:24
to use this data
3:25
to make sure that leaders
3:26
and decision makers
3:26
can see the big picture
3:28
to close those coverage gaps.
3:32
That can not only save a lot of lives,
3:34
but in the process,
3:35
reduce the cost of vaccine delivery around the world.
3:39
We're bringing accountability
3:41
into the system.
3:43
No child needs to die again
3:45
from something that is entirely preventable.
3:49
Once every child
3:50
can clearly be identified,
3:52
I’d consider that
3:53
a great fulfillment.
3:57
I don't believe that technology is always the answer,
4:00
but when it is,
4:02
it can be transformative.
4:05
It’s making the invisible visible.
