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Transforming Underserved Communities Around the Globe | National Geographic

Ouvir/Video/National Geographic/Transforming Underserved Communities Around the Globe | National Geographic

Transforming Underserved Communities Around the Globe | National Geographic

National Geographic
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Legendas (106)

0:09There’s an identity crisis in global health.
0:21850 million people
0:22all around the globe
0:24don't have any formal recognition whatsoever.
0:28That's no birth certificate,
0:30no national insurance
0:32or social security number.
0:35This makes them functionally invisible
0:37in the eyes of governments
0:39and the eyes of many of the systems
0:40that are there to protect them.
0:43With Simprints,
0:44our goal is to make sure that
0:46everyone, everywhere
0:48no matter where they’re born in the world
0:50has access to
0:51digital ID’s and
0:53life saving healthcare.
1:03Osiabura is...
1:05a very typical Ghanaian rural community
1:07where everyone knows each other.
1:10You’ll find children playing
1:11football,
1:12volleyball,
1:14girls plaiting their hair,
1:16children running around.
1:18It’s a very very lively community.
1:21Osiabura is one of
1:23thousands of towns across Ghana
1:25and all over the world
1:27where Simprints is helping health workers
1:29accurately identify their patients
1:31and link them
1:32to the right medical records
1:33so that mums and dads can know
1:34their kids are staying healthy.
1:38What’s unique about the Simprints Arm partnership
1:40is that we’re working to ensure
1:42our technology is specifically configured
1:46for the unique characteristics
1:47of the local population.
1:49Using Arm compute power and AI,
1:52we're assembling a training dataset
1:54for machine learning
1:55that takes a really diverse
1:56cross-section of infants.
1:58We use existing smartphone and tablet cameras
2:02to be able to take a combination of the face,
2:04ear and even the sole of their feet
2:07to predict how that infant will grow,
2:09so when the algorithm sees them again,
2:12say, in 3 to 6 months time,
2:14we're able to recognize them
2:15and link them back to that original health record.
2:18This is a tiny amount of software,
2:20using really high energy efficient technology.
2:24That means it can literally reach
2:26the most remote communities
2:27all over the world.
2:29I think ten years ago
2:30this would have been science fiction.
2:32It wouldn’t have been something
2:32that any team anywhere in the planet
2:35was able to do.
2:36It's going to help us to know
2:38every history about the clients,
2:40especially the children.
2:42When they come, we know their schedules.
2:44So we know that this particular child,
2:46this is what I'm supposed to give
2:48at this particular time.
2:56When you have this near real time data
2:59from multiple clinics,
3:01multiple sources all over the country,
3:03you can paint a really accurate map of coverage,
3:06which kids have been vaccinated
3:07and which kids are potentially falling behind.
3:09Simprints is a key partner for Arm because
3:12they are working with governments
3:14on how they can analyze
3:16that data
3:16and distribute their resources
3:18in a more efficient way.
3:19We're working directly
3:20with the Ministry of Health in Ghana
3:22and many other countries
3:24to use this data
3:25to make sure that leaders
3:26and decision makers
3:26can see the big picture
3:28to close those coverage gaps.
3:32That can not only save a lot of lives,
3:34but in the process,
3:35reduce the cost of vaccine delivery around the world.
3:39We're bringing accountability
3:41into the system.
3:43No child needs to die again
3:45from something that is entirely preventable.
3:49Once every child
3:50can clearly be identified,
3:52I’d consider that
3:53a great fulfillment.
3:57I don't believe that technology is always the answer,
4:00 but when it is,
4:02it can be transformative.
4:05It’s making the invisible visible.