Joel Selanikio: The surprising seeds of a big-data revolution in healthcare

60,844 views ・ 2013-07-02

TED


Please double-click on the English subtitles below to play the video.

Prevodilac: Mile Živković Lektor: Dejan Vicai
Postoji jedna stara šala o policajcu koji šeta u patroli
00:13
There's an old joke about a cop
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00:14
who's walking his beat in the middle of the night,
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tokom noći
00:16
and he comes across a guy under a street lamp
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i susreće lika ispod ulične lampe
koji gleda na zemlju i pomera se levo-desno
00:19
who's looking at the ground and moving from side to side,
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00:21
and the cop asks him what he's doing.
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i policajac ga pita šta radi.
00:23
The guys says he's looking for his keys.
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Čovek kaže da traži svoje ključeve.
00:25
So the cop takes his time
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Policajac ostaje s njim i odmerava teren,
00:27
and looks over and kind of makes a little matrix
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obilazi krug i traži neka dva, tri minuta.
00:29
and looks for about two, three minutes.
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Nema ključeva.
00:31
No keys.
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00:32
The cop says, "Are you sure?
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Policajac pita: "Jesi li siguran? Hej, druže,
jesi li siguran da si ode izgubio ključeve?"
00:35
Hey buddy, are you sure you lost your keys here?"
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00:37
And the guy says, "No, actually I lost them
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I lik odgovara: "Ne, ne, u stvari izgubio sam ih
00:39
down at the other end of the street,
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tamo na drugom kraju ulice,
ali je svetlo ovde bolje."
00:41
but the light is better here."
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00:42
(Laughter)
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(Smeh)
00:46
There's a concept that people talk about nowadays called "big data."
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Postoji jedan koncept o kome ljudi danas govore,
"veliki podaci", a ono o čemu govore
00:49
And what they're talking about is all of the information
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jeste skup podataka koji stvaramo
00:52
that we're generating through our interaction
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putem naše interakcije sa i preko interneta,
00:54
with and over the Internet,
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00:55
everything from Facebook and Twitter
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sve od Fejsbuka i Tvitera
do skidanja muzike, filmova, prenosa i tih stvari,
00:57
to music downloads, movies, streaming, all this kind of stuff,
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01:01
the live streaming of TED.
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živi prenos TED govora.
01:02
And the folks who work with big data, for them,
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Ljudi koji rade sa "velikim podacima"
01:05
they talk about that their biggest problem
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kažu da je njihov najveći problem to
01:07
is we have so much information.
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što postoji toliko informacija,
01:09
The biggest problem is: how do we organize all that information?
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najveći problem je, kako organizovati sve te informacije?
Radeći u sferi globalnog zdravlja, mogu vam reći
01:13
I can tell you that, working in global health,
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01:15
that is not our biggest problem.
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da to nije naš najveći problem.
01:18
Because for us, even though the light is better on the Internet,
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Jer nama, iako je svetlo
bolje na internetu,
01:22
the data that would help us solve the problems we're trying to solve
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podaci koji bi nam pomogli da rešimo probleme
koje pokušavamo da rešimo, nisu u stvari prisutni na internetu.
01:26
is not actually present on the Internet.
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01:28
So we don't know, for example,
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I zato ne znamo, na primer, koliko ljudi
01:30
how many people right now are being affected by disasters
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se upravo sada suočava sa nekom katastrofom
ili se nalazi u konfliktnoj situaciji.
01:33
or by conflict situations.
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01:35
We don't know for, really, basically, any of the clinics
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Ne znamo, u suštini, ni za jednu od klinika
01:39
in the developing world,
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u svetu u razvoju, koje od njih imaju lekove,
01:40
which ones have medicines and which ones don't.
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a koje ih nemaju.
01:42
We have no idea of what the supply chain is for those clinics.
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Nemamo predstavu kakav lanac nabavki imaju te klinike.
Ne znamo - i ovo mi je zaista zapanjujuće -
01:46
We don't know -- and this is really amazing to me -- we don't know
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ne znamo koliko dece je rođeno
01:49
how many children were born -- or how many children there are --
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ili koliko dece ima u Boliviji
01:53
in Bolivia or Botswana or Bhutan.
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ili Bocvani ili u Butanu.
Ne znamo koliko dece je umrlo prošle nedelje
01:58
We don't know how many kids died last week
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u bilo kojoj od tih država.
02:00
in any of those countries.
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02:01
We don't know the needs of the elderly, the mentally ill.
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Ne znamo potrebe starijih, mentalno obolelih.
02:04
For all of these different critically important problems
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O svim ovim različitim problemima od ključnog značaja
02:07
or critically important areas that we want to solve problems in,
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ili oblastima ključnog značaja u kojima želimo da rešimo probleme,
mi ne znamo skoro ništa.
02:11
we basically know nothing at all.
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02:15
And part of the reason why we don't know anything at all
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Deo razloga zašto ne znamo ništa
02:18
is that the information technology systems that we use in global health
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jeste to da su sistemi informacionih tehnologija
koje koristimo u globalnom zdravlju za prikupljanje podataka
02:22
to find the data to solve these problems is what you see here.
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za rešavanje ovih problema ono što vidite ovde.
02:27
This is about a 5,000-year-old technology.
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Ovo je tehnologija stara 5.000 godina.
02:29
Some of you may have used it before.
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Neki od vas su je možda već koristili ranije.
02:31
It's kind of on its way out now,
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Polako je napuštamo, ali se ona i dalje koristi
02:32
but we still use it for 99 percent of our stuff.
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za 99 odsto stvari koje radimo.
02:35
This is a paper form.
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Ovo je papirni formular, a ono što vidite
02:38
And what you're looking at is a paper form
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jeste formular u rukama sestre Ministarstva zdravlja
02:40
in the hand of a Ministry of Health nurse in Indonesia,
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u Indoneziji koja peške obilazi sela
02:43
who is tramping out across the countryside
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02:45
in Indonesia on, I'm sure, a very hot and humid day,
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u Indoneziji po, verujem, veoma toplom i vlažnom danu
02:49
and she is going to be knocking on thousands of doors
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i ona će kucati na hiljade vrata
02:51
over a period of weeks or months,
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tokom nedelja i meseci,
kucaće na vrata i govoriti: "Izvinite,
02:54
knocking on the doors and saying,
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02:55
"Excuse me, we'd like to ask you some questions.
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voleli bismo da vam postavimo neka pitanja.
02:58
Do you have any children? Were your children vaccinated?"
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Imate li dece? Da li su vaša deca vakcinisana?"
03:02
Because the only way we can actually find out
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Zato što je jedini način na koji možemo da saznamo
03:04
how many children were vaccinated in the country of Indonesia,
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koliko dece je vakcinisano u Indoneziji,
koji procenat je vakcinisan, u stvari nije
03:07
what percentage were vaccinated,
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03:08
is actually not on the Internet, but by going out and knocking on doors,
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internet, nego obilaženje i kucanje na vrata,
ponekad na desetine hiljada vrata.
03:13
sometimes tens of thousands of doors.
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03:15
Sometimes it takes months to even years to do something like this.
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Ponekad su potrebni meseci pa čak i godine
da bi se ovako nešto uradilo.
03:19
You know, a census of Indonesia
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Znate, popis u Indoneziji
03:21
would probably take two years to accomplish.
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bi najverovatnije trajao dve godine.
03:23
And the problem, of course, with all of this
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Problem sa svime ovime je, naravno,
03:25
is that, with all those paper forms --
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da sa svim tim papirnim formularima - i kažem vam
03:27
and I'm telling you, we have paper forms for every possible thing:
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imamo formulare za svaku moguću stvar.
03:30
We have paper forms for vaccination surveys.
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Imamo upitnike za vakcinaciju.
03:32
We have paper forms to track people who come into clinics.
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Imamo formulare za praćenje ljudi koji posete klinike.
03:36
We have paper forms to track drug supplies, blood supplies --
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Imamo formulare za praćenje snabdevanja lekovima,
krvlju, a sve ovo su različiti formulari
03:40
all these different paper forms for many different topics,
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za mnogo različitih oblasti
03:43
they all have a single, common endpoint,
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i svi oni završavaju na istom mestu,
03:45
and the common endpoint looks something like this.
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a to mesto izgleda otprilike ovako.
03:48
And what we're looking at here is a truckful of data.
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Ono što vidimo ovde je kombi pun podataka.
Ovo su upitnici sa jednog ispitivanja dometa vakcinacije
03:53
This is the data from a single vaccination coverage survey
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03:57
in a single district in the country of Zambia
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u jednom jedinom okrugu u Zambiji
03:59
from a few years ago, that I participated in.
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od pre nekoliko godina gde sam i ja učestvovao.
04:01
The only thing anyone was trying to find out
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Jedina stvar koju je neko pokušavao da otkrije
04:04
is what percentage of Zambian children are vaccinated,
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jeste koji procenat dece u Zambiji je vakcinisan
04:07
and this is the data, collected on paper over weeks,
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i ovo su podaci skupljeni na papiru tokom nedelja
04:10
from a single district,
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iz jednog jedinog okruga, što je nešto poput rejona
04:11
which is something like a county in the United States.
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u SAD.
04:14
You can imagine that, for the entire country of Zambia,
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Možete da zamislite, da bi odgovori čitave Zambije
04:17
answering just that single question ...
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na samo to jedno pitanje
04:20
looks something like this.
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izgledali nekako ovako.
Kamioni i kamioni
04:23
Truck after truck after truck,
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ispunjeni gomilama podataka.
04:25
filled with stack after stack after stack of data.
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04:28
And what makes it even worse is that's just the beginning.
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Ono što ovo čini još gorim
jeste da je ovo tek početak,
04:31
Because once you've collected all that data,
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jer kad jednom skupite sve te podatke,
04:33
of course, someone -- some unfortunate person --
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naravno, neko će morati -
neka nesrećna osoba će morati da unese sve to u računar.
04:36
is going to have to type that into a computer.
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04:38
When I was a graduate student,
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Tokom postdiplomskih studija, ja sam u stvari
04:40
I actually was that unfortunate person sometimes.
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ponekad bio ta nesrećna osoba.
04:42
I can tell you, I often wasn't really paying attention.
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Mogu vam reći da često nisam zaista obraćao pažnju.
04:45
I probably made a lot of mistakes when I did it
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I verovatno sam u procesu načinio mnog grešaka
04:47
that no one ever discovered, so data quality goes down.
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koje niko nikada nije otkrio i s time se kvalitet podataka smanjuje.
04:50
But eventually that data, hopefully, gets typed into a computer,
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Ali se na kraju, idealno, ti podaci unose u računar
04:53
and someone can begin to analyze it,
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i neko započinje analizu
04:55
and once they have an analysis and a report,
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i kada su analiza i izveštaj gotovi
nadamo se da možemo da te podatke
04:58
hopefully, then you can take the results of that data collection
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05:01
and use it to vaccinate children better.
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iskoristimo da unapredimo vakcinaciju dece.
05:03
Because if there's anything worse in the field of global public health --
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Jer ako je nešto gore
u sferi globalnog javnog zdravlja,
05:08
I don't know what's worse than allowing children on this planet
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ne znam šta bi bilo gore, nego dozvoliti da deca na ovoj planeti
05:11
to die of vaccine-preventable diseases --
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umru od bolesti koje se mogu sprečiti vakcinacijom,
05:14
diseases for which the vaccine costs a dollar.
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bolesti za koje vakcina košta jedan dolar.
05:17
And millions of children die of these diseases every year.
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A milioni dece umiru od ovih bolesti svake godine.
Činjenica je da su ti milioni gruba procena,
05:21
And the fact is, millions is a gross estimate,
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05:24
because we don't really know how many kids die each year of this.
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jer ne znamo zaista koliko dece umire zbog ovoga svake godine.
05:27
What makes it even more frustrating is that the data-entry part,
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Ono što je još više frustrirajuće jeste
što deo unosa podataka, deo koji sam ja radio kao diplomac,
05:31
the part that I used to do as a grad student,
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može ponekad da traje šest meseci.
05:33
can take sometimes six months.
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05:34
Sometimes it can take two years to type that information into a computer,
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Ponekad unos informacija u računar
traje dve godine i, ponekad, ne retko, u stvari,
05:38
And sometimes, actually not infrequently,
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05:40
it actually never happens.
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on se ni ne desi.
05:42
Now try and wrap your head around that for a second.
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Pokušajte da sagledate to sada.
05:44
You just had teams of hundreds of people.
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Timovi od stotina ljudi
05:47
They went out into the field to answer a particular question.
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su izašli na teren da bi pronašli odgovor na jedno pitanje.
Potrošili ste najverovatnije stotine hiljada dolara
05:50
You probably spent hundreds of thousands of dollars
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05:52
on fuel and photocopying and per diem.
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na benzin i fotokopije dnevno
i onda iz nekog razloga trenutak je prošao
05:56
And then for some reason, momentum is lost
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05:58
or there's no money left,
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ili nema više novca
05:59
and all of that comes to nothing,
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i sve to se svodi na ništa,
06:01
because no one actually types it into the computer at all.
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jer niko u stvari neće uneti te podatke u računar.
06:04
The process just stops.
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I proces naprosto stane. To se stalno dešava.
06:05
Happens all the time.
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06:07
This is what we base our decisions on in global health:
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Ovo je ono na čemu baziramo odluke u globalnom zdravlju:
06:10
little data, old data, no data.
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na malo podataka, starim podacima ili nikakvim podacima.
06:15
So back in 1995,
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1995. počeo sam da razmišljam o načinima
06:17
I began to think about ways in which we could improve this process.
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na koje bismo mogli da poboljšamo ovaj proces.
06:20
Now 1995 -- obviously, that was quite a long time ago.
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1995. je očigledno bila davno.
06:23
It kind of frightens me to think of how long ago that was.
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Pomalo me plaši da pomislim koliko davno.
Film godine je bio
06:26
The top movie of the year was "Die Hard with a Vengeance."
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"Umri muški sa osvetom".
Kao što vidite, Brus Vilis je tada imao mnogo više kose.
06:29
As you can see, Bruce Willis had a lot more hair back then.
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06:31
I was working in the Centers for Disease Control
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Radio sam u Centrima za kontrolu bolesti
06:34
and I had a lot more hair back then as well.
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i takođe sam tada imao mnogo više kose.
06:37
But to me, the most significant thing that I saw in 1995
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Za mene, najbitnija stvar koju sam video 1995.
06:40
was this.
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je bila ovo.
Pomalo je teško zamisliti, ali 1995.
06:42
Hard for us to imagine, but in 1995,
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06:44
this was the ultimate elite mobile device.
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ovo je bio vrhunski elitni mobilni uređaj.
06:48
It wasn't an iPhone. It wasn't a Galaxy phone.
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Nije bio Ajfon. Nije bio Galaksi.
06:50
It was a PalmPilot.
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Bio je to Palm Pajlot.
06:52
And when I saw the PalmPilot for the first time, I thought,
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Kada sam video Palm Pajlot po prvi put, pomislio sam,
06:55
"Why can't we put the forms on these PalmPilots?
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zašto ne možemo da stavimo formulare na ove uređaje
06:58
And go out into the field just carrying one PalmPilot,
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i izađemo na teren noseći samo njih
i oni imaju kapacitet desetina hiljada papirnih formulara?
07:01
which can hold the capacity of tens of thousands of paper forms?
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Zašto ne pokušamo da uradimo to?
07:05
Why don't we try to do that?
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07:06
Because if we can do that,
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Jer ako možemo da uradimo to, ako možemo
07:07
if we can actually just collect the data electronically, digitally,
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da podatke prikupimo elektronski, digitalno
07:11
from the very beginning,
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od samog početka
07:13
we can just put a shortcut right through that whole process
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to bi bila prečica kroz čitav proces
07:16
of typing, of having somebody type that stuff into the computer.
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kucanja
zapošljavanja nekog da ukucava te stvari u računar.
07:21
We can skip straight to the analysis
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Možemo odmah da krenemo sa analizom
07:23
and then straight to the use of the data to actually save lives."
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i onda na upotrebu podataka kako bismo u stvari spasili živote.
07:26
So that's what I began to do.
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To je ono što sam ja i počeo da radim.
07:29
Working at CDC, I began to travel to different programs around the world
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Radeći u Centrima, počeo sam da putujem
širom sveta i obučavam ljude da koriste Palm Pajlote
07:33
and to train them in using PalmPilots to do data collection,
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za prikupljanje podataka umesto papira.
07:37
instead of using paper.
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07:39
And it actually worked great.
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I to je u stvari fenomenalno radilo.
07:41
It worked exactly as well as anybody would have predicted.
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Radilo je upravo onako kako bi bilo ko predvideo.
Ko bi rekao? Digitalno prikupljanje podataka
07:44
What do you know?
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07:45
Digital data collection is actually more efficient than collecting on paper.
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je u stvari efikasnije od prikupljanja na papiru.
Dok sam to radio, moj poslovni partner, Rouz,
07:49
While I was doing it, my business partner,
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koja je tu sa mužem, Metjuom, u publici,
07:51
Rose, who's here with her husband, Matthew, here in the audience,
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Rouz je radila sličnu stvar za američki Crveni krst.
07:54
Rose was out doing similar stuff for the American Red Cross.
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Problem nakon nekoliko godina je bio
07:57
The problem was, after a few years of doing that,
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što sam uvideo da sam - bio sam na možda
07:59
I realized -- I had been to maybe six or seven programs --
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šest ili sedam programa i mislio sam
08:03
and I thought, you know, if I keep this up at this pace,
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ako nastavim ovim tempom
08:06
over my whole career,
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tokom moje čitave karijere, otići ću
08:07
maybe I'm going to go to maybe 20 or 30 programs.
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na možda 20 ili 30 programa.
08:10
But the problem is, 20 or 30 programs,
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Problem je što je 20 ili 30 programa,
08:13
like, training 20 or 30 programs to use this technology,
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obuka na 20 ili 30 programa za korišćenje ove tehnologije
08:16
that is a tiny drop in the bucket.
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mala kap u okeanu.
Potražnja, potreba za boljim programima
08:19
The demand for this, the need for data to run better programs
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08:22
just within health -- not to mention all of the other fields
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samo unutar zdravlja, da ne spominjem sve ostale oblasti
08:25
in developing countries -- is enormous.
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u zemljama u razvoju, je ogromna.
08:27
There are millions and millions and millions of programs,
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Postoje milioni i milioni programa,
08:31
millions of clinics that need to track drugs,
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milioni klinika kojima je potrebno da pronađu lekove,
08:34
millions of vaccine programs.
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milioni programa vakcinacije.
08:35
There are schools that need to track attendance.
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Školama je potrebno da prate prisustvo.
Sve ove razne stvari
08:38
There are all these different things for us to get the data that we need to do.
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su nam potrebne da prikupimo podatke.
I shvatio sam, da ako nastavim onako kako sam radio,
08:42
And I realized if I kept up the way that I was doing,
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08:46
I was basically hardly going to make any impact
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neću ostvariti skoro nikakav uticaj
do kraja moje karijere.
08:50
by the end of my career.
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08:51
And so I began to rack my brain,
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Počeo sam da razbijam glavu
08:53
trying to think about, what was the process that I was doing?
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pokušavajući da shvatim
koji je bio proces kojim sam prolazio,
08:56
How was I training folks,
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kako sam obučavao ljude i gde su uska grla
08:57
and what were the bottlenecks and what were the obstacles
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i šta su prepreke da bi sve išlo brže
09:01
to doing it faster and to doing it more efficiently?
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i da bi bilo efikasnije?
09:03
And, unfortunately, after thinking about this for some time,
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Nesrećom, nakon što sam razmišljao o ovome neko vreme
09:06
I identified the main obstacle.
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ustanovio sam glavnu prepreku.
09:10
And the main obstacle, it turned out --
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I glavna prepreka, kako se ispostavilo,
09:12
and this is a sad realization --
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i ovo je tužno uviđanje,
glavna prepreka sam bio ja.
09:14
the main obstacle was me.
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09:16
So what do I mean by that?
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Šta mislim pod tim?
09:18
I had developed a process
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Razvio sam proces u kome
09:20
whereby I was the center of the universe of this technology.
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sam ja bio centar univerzuma ove tehnologije.
Ako ste želeli da koristite ovu tehnologiju,
09:26
If you wanted to use this technology, you had to get in touch with me.
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morali ste mene da kontaktirate.
09:29
That means you had to know I existed.
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1824
To znači da ste morali da znate da ja postojim.
09:31
Then you had to find the money to pay for me to fly out to your country
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Onda ste morali da skupite novac kako biste mi platili
09:34
and the money to pay for my hotel and my per diem and my daily rate.
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let do vaše države i novac za hotel
i moje dnevne troškove i dnevnice.
09:38
So you could be talking about 10- or 20- or 30,000 dollars,
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To je moglo biti oko 10 ili 20 ili 30 hiljada dolara
09:41
if I actually had the time or it fit my schedule
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ako sam imao vremena u rasporedu
09:43
and I wasn't on vacation.
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ili nisam bio na odmoru.
09:45
The point is that anything,
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1961
Poenta je da bilo šta, bilo koji sistem koji zavisi
09:47
any system that depends on a single human being
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od jednog jedinog čoveka ili dva ili tri ili petoro ljudi
09:49
or two or three or five human beings --
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1903
09:51
it just doesn't scale.
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ne može da se proširi.
09:53
And this is a problem for which we need to scale this technology,
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3199
A ovo je problem za koji nam je potrebno proširenje
ove tehnologije i moramo da je proširimo sada.
09:56
and we need to scale it now.
217
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1570
09:58
And so I began to think of ways in which I could basically
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598387
2754
Počeo sam da razmišljam o načinima na koje bih
mogao sebe da izdvojim iz slike.
10:01
take myself out of the picture.
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Znate, mislio sam
10:06
And, you know, I was thinking,
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606071
1644
10:07
"How could I take myself out of the picture?"
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kako bih mogao sebe da izdvojim
10:09
for quite some time.
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poprilično dugo.
10:11
I'd been trained that the way you distribute technology
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3476
Znate, bio sam naučen da je način
distribuiranja tehnologije u internacionalnom razvoju
10:15
within international development
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1556
10:16
is always consultant-based.
225
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1562
uvek zasnovan na konsultantima.
10:18
It's always guys that look pretty much like me,
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618176
3001
To su uvek momci koji izgledaju kao ja
10:21
flying from countries that look pretty much like this
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2548
i lete od država koje izgledaju ovako
10:23
to other countries with people with darker skin.
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2339
do drugih država sa ljudima tamnije kože.
10:26
And you go out there, and you spend money on airfare
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I vi idete tamo i trošite novac na letove
10:29
and you spend time and you spend per diem
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3236
i trošite vreme i imate dnevne troškove
10:32
and you spend for a hotel and all that stuff.
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i trošite na hotel i trošite sve te stvari.
10:34
As far as I knew, that was the only way you could distribute technology,
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3412
Koliko sam ja znao, to je bio jedini način
za distribuiranje tehnologije i nisam mogao da pronađem zaobilaznicu.
10:38
and I couldn't figure out a way around it.
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2035
10:40
But the miracle that happened --
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1754
Ali se onda desilo čudo,
10:42
I'm going to call it Hotmail for short.
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1906
zvaću ga Hotmejl skraćeno.
10:45
You may not think of Hotmail as being miraculous,
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645168
2423
Možda ne mislite da je Hotmejl čudesan,
10:47
but for me it was miraculous,
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1437
ali za mene je bio, jer sam primetio
10:49
because I noticed, just as I was wrestling with this problem --
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3612
dok sam se borio s ovim problemom,
10:52
I was working in sub-Saharan Africa, mostly, at the time --
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3506
radio sam u delu Afrike južno od Sahare.
10:56
I noticed that every sub-Saharan African health worker
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Primetio sam da svaki radnik južno od Sahare
10:58
that I was working with had a Hotmail account.
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2944
sa kojim sam radio ima nalog na Hotmejlu.
I pomislio sam, shvatio sam,
11:03
And it struck me, "Wait a minute --
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2928
čekaj samo malo, znam da ljudi iz Hotmejla
11:06
I know the Hotmail people surely didn't fly to the Ministry of Health in Kenya
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4238
sigurno nisu doleteli do Ministartstva zdravlja u Keniji
11:10
to train people in how to use Hotmail.
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da obuče ljude kako da koriste Hotmejl.
11:13
So these guys are distributing technology, getting software capacity out there,
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4248
Ovi ljudi dakle distribuiraju tehnologiju.
Dopremaju softver,
11:17
but they're not actually flying around the world.
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677654
2328
ali ne lete širom sveta.
Moram da porazmislim o ovome.
11:20
I need to think about this more."
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1572
11:21
While I was thinking about it,
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1450
Dok sam razmišljao o tome, ljudi su počeli da koriste
11:23
people started using even more things like this, just as we were.
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3159
još stvari nalik ovoj, baš kao i mi.
11:26
They started using LinkedIn and Flickr and Gmail and Google Maps --
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686259
3231
Počeli su da koriste Linkedin i Flikr
i Džimejl i Gugl mape, sve ove stvari.
11:29
all these things.
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1157
11:30
Of course, all of these things are cloud based
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690695
2691
Naravno, sve ove stvari su zasnovane na "oblaku"
11:33
and don't require any training.
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2149
i ne zahtevaju obuku.
11:35
They don't require any programmers.
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1676
Ne zahtevaju programere.
11:37
They don't require consultants.
255
697283
1503
Ne zahtevaju konsultante,
11:38
Because the business model for all these businesses
256
698810
2485
jer poslovni model svih ovih kompanija
11:41
requires that something be so simple we can use it ourselves,
257
701319
2937
zahteva da stvari budu toliko jednostavne da možemo sami da ih koristimo
11:44
with little or no training.
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1294
sa malo ili bez obuke.
11:45
You just have to hear about it and go to the website.
259
705598
2595
Samo morate da čujete za njih i odete na njihov sajt.
11:48
And so I thought, what would happen if we built software
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4196
Pomislio sam, šta bi se desilo da napravimo softver
11:52
to do what I'd been consulting in?
261
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2064
koji će raditi ono za šta sam ja bio konsultant?
11:54
Instead of training people how to put forms onto mobile devices,
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4072
Umesto da obučavamo ljude
kako da postave formulare na mobilne uređaje,
11:58
let's create software that lets them do it themselves with no training
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3301
hajde da stvorimo softver koji im dozvoljava da to rade sami
12:01
and without me being involved.
264
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bez obuke i bez mog uplitanja?
12:03
And that's exactly what we did.
265
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1484
I to je upravo ono što smo uradili.
12:04
So we created software called Magpi, which has an online form creator.
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5221
Stvorili smo softver Megpaj (Magpi)
koji služi za pravljenje onlajn formulara.
12:10
No one has to speak to me,
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1252
Niko ne mora da priča sa mnom.
12:11
you just have to hear about it and go to the website.
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2801
Morate samo da čujete za njega i odete na sajt.
12:14
You can create forms, and once you've created the forms,
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2658
Možete da pravite formulare i kada ste ih napravili
12:16
you push them to a variety of common mobile phones.
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2461
prosledite ih na razne uobičajene telefone.
12:19
Obviously, nowadays, we've moved past PalmPilots to mobile phones.
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3517
Danas smo očigledno otišli dalje od Palm Pajlota
na mobilne telefone.
12:22
And it doesn't have to be a smartphone, it can be a basic phone,
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3229
To ne mora biti "pametni" telefon.
To može biti najobičniji telefon, ovaj s desne strane,
12:26
like the phone on the right, the basic Symbian phone
273
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2490
znate, osnovni Simbijan telefon
12:28
that's very common in developing countries.
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2062
koji je veoma uobičajen u zemljama u razvoju.
12:30
And the great part about this is it's just like Hotmail.
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3689
Odlična strana ovoga je što je baš kao Hotmejl.
12:34
It's cloud based,
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754534
1151
Zasnovan je na oblaku i ne zahteva nikakvu obuku,
12:35
and it doesn't require any training, programming, consultants.
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3253
programiranje, konsultante.
12:38
But there are some additional benefits as well.
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2203
Ali ima i dodatnih prednosti.
Kada smo gradili ovaj sistem, znali smo
12:41
Now we knew when we built this system,
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1873
zašto to radimo, baš kao i sa Palm Pajlotima,
12:43
the whole point of it, just like with the PalmPilots,
280
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2555
12:45
was that you'd be able to collect the data
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765689
2799
to je bilo kako biste morali, mogli
da sakupljate podatke i odmah ih postavite i dobijete skup podataka.
12:48
and immediately upload the data and get your data set.
282
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2598
Ali ono što smo otkrili je, naravno, pošto je već na računaru,
12:51
But what we found, of course, since it's already on a computer,
283
771134
2985
da možemo da oformimo trenutačne mape i analizu i grafove.
12:54
we can deliver instant maps and analysis and graphing.
284
774143
2611
12:56
We can take a process that took two years
285
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2071
Proces od dve godine
12:58
and compress that down to the space of five minutes.
286
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možemo da sabijemo u nekoliko minuta.
Neverovatan napredak u efikasnosti.
13:02
Unbelievable improvements in efficiency.
287
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2155
13:04
Cloud based, no training, no consultants, no me.
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3708
Zasnovan na oblaku, bez obuke, bez konsultanata, bez mene.
13:09
And I told you that in the first few years
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2271
Rekao sam vam da je u prvih nekoliko godina
13:11
of trying to do this the old-fashioned way,
290
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2069
pokušaja da se ovo uradi na tradicionalan način,
13:13
going out to each country,
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1279
odlaženjem u svaku državu
13:15
we probably trained about 1,000 people.
292
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4221
domet bio oko, ne znam,
verovatno smo obučili oko 1.000 ljudi.
13:19
What happened after we did this?
293
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1682
Šta se desilo nakon što smo uradili ovo?
13:21
In the second three years,
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1461
U sledeće tri godine, 14.000 ljudi
13:23
we had 14,000 people find the website,
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2150
je pronašlo vebsajt, prijavilo se i počelo da ga koristi za skupljanje podataka,
13:25
sign up and start using it to collect data:
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805236
2113
13:27
data for disaster response,
297
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1910
podataka za katastrofe,
13:29
Canadian pig farmers tracking pig disease and pig herds,
298
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4434
kanadski stočari su ga koristili za praćenje oboljevanja i odumiranja krda,
13:33
people tracking drug supplies.
299
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1881
ljudi su pratili nabavku lekova.
13:36
One of my favorite examples, the IRC, International Rescue Committee,
300
816241
3344
Jedan od mojih omiljenih primera, MSS,
Međunarodna služba za spasavanje
13:39
they have a program where semi-literate midwives,
301
819609
3213
ima program u kome polu-pismene babice
13:42
using $10 mobile phones,
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2403
koristeći telefone od deset dolara
13:45
send a text message using our software, once a week,
303
825273
3301
šalju poruke, putem našeg softvera,
jednom nedeljno o broju rađanja
13:48
with the number of births and the number of deaths,
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2476
i smrti, koji službi daje
13:51
which gives IRC something that no one in global health has ever had:
305
831098
3572
nešto što niko u globalnom zdravlju do sada nije imao:
13:54
a near-real-time system of counting babies,
306
834694
3522
sistem za brojanje novorođenčadi skoro u stvarnom vremenu,
13:58
of knowing how many kids are born,
307
838240
1634
informaciju o tome koliko dece je rođeno,
13:59
of knowing how many children there are in Sierra Leone,
308
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2642
koliko dece postoji
u Sijera Leoneu, koja je država u kojoj se ovo dešava
14:02
which is the country where this is happening,
309
842564
2223
14:04
and knowing how many children die.
310
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1753
i informaciju o tome koliko dece umire.
14:07
Physicians for Human Rights --
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1573
Lekari za ljudska prava -
14:08
this is moving a little bit outside the health field --
312
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2592
ovo je malo van polja zdravstva -
14:11
they're basically training people to do rape exams in Congo,
313
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4783
skupljaju se, u suštini obučavaju ljude
da rade na slučajevima silovanja u Kongu, gde je ovo postala epidemija,
14:16
where this is an epidemic,
314
856414
1449
14:17
a horrible epidemic,
315
857887
1793
užasna epidemija,
14:19
and they're using our software to document the evidence they find,
316
859704
3176
i koriste naš softver da zabeleže
dokaze koje pronađu, uključujući fotografije,
14:22
including photographically,
317
862904
1974
14:24
so that they can bring the perpetrators to justice.
318
864902
2903
tako da mogu da privedu zločince pravdi.
14:28
Camfed, another charity based out of the UK --
319
868956
3593
Kamfed, još jedna dobrotvorna organizacija iz Ujedinjenog Kraljevstva,
14:32
Camfed pays girls' families to keep them in school.
320
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2713
Kamfed plaća porodicama devojčica kako bi one ostale u školi.
14:36
They understand this is the most significant intervention they can make.
321
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3475
Oni razumeju da je ovo najbitnija intervencija
koju mogu da učine. Pre su pratili premeštanja,
14:39
They used to track the disbursements, the attendance, the grades, on paper.
322
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3840
prisustvo, ocene, i to na papiru.
14:43
The turnaround time between a teacher writing down grades or attendance
323
883528
3347
Vreme obrta između nastavnika
koji zapisuje ocene ili prisustvo
14:46
and getting that into a report was about two to three years.
324
886899
2835
do stavljanja toga u izveštaj bilo je od dve do tri godine.
14:49
Now it's real time.
325
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1151
Sada je to u realnom vremenu, i zbog toga što je ovo tako
14:50
And because this is such a low-cost system and based in the cloud,
326
890933
3183
jeftin sistem i zasnovan na oblaku, on košta
14:54
it costs, for the entire five countries that Camfed runs this in,
327
894140
3989
za svih pet zemalja gde Kamfed ovo vodi,
sa desetinama hiljada devojaka,
14:58
with tens of thousands of girls,
328
898153
1865
ukupan trošak je 10 000 dolara godišnje.
15:00
the whole cost combined is 10,000 dollars a year.
329
900042
2708
15:03
That's less than I used to get
330
903154
1961
To je manje od onoga što bih ja dobio
da samo otputujem na dve nedelje da uradim konsultaciju.
15:05
just traveling out for two weeks to do a consultation.
331
905139
2896
15:10
So I told you before that when we were doing it the old-fashioned way,
332
910139
3469
Pre toga sam vam rekao
da kada smo ovo radili na starinski način, shvatio sam
15:13
I realized all of our work was really adding up to just a drop in the bucket --
333
913632
3795
da je sav naš rad samo dodavao na kap u moru -
15:17
10, 20, 30 different programs.
334
917451
1722
10, 20, 30 različitih programa.
Napravili smo dosta napretka, ali shvatam da sada,
15:20
We've made a lot of progress,
335
920036
1413
15:21
but I recognize that right now,
336
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1556
čak i posao koji smo uradili
15:23
even the work that we've done with 14,000 people using this
337
923053
3364
kada 14 000 ljudi ovo koristi,
15:26
is still a drop in the bucket.
338
926441
1463
to je još uvek kap u moru. Ali nešto se promenilo.
15:27
But something's changed, and I think it should be obvious.
339
927928
2730
Mislim da to treba da bude očigledno.
15:30
What's changed now is,
340
930682
2155
Promenjeno je to da,
15:32
instead of having a program in which we're scaling at such a slow rate
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umesto da imamo program gde se raste tako malim koracima,
15:36
that we can never reach all the people who need us,
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da nikada ne možemo da dođemo do svih ljudi kojima smo potrebni,
15:39
we've made it unnecessary for people to get reached by us.
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učinili smo da nije potrebno da mi dopremo do ljudi.
15:43
We've created a tool that lets programs keep kids in school,
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Napravili smo alat koji programima dozvoljava
da decu drže u školama, da prate broj beba
15:48
track the number of babies that are born and the number of babies that die,
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koje su rođene i onih koje umru,
15:52
catch criminals and successfully prosecute them --
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da hvataju kriminalce i uspešno ih gone,
15:55
to do all these different things to learn more about what's going on,
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da rade sve ove različite stvari kako bi naučili više
o tome šta se dešava, da razumeju više, da vide više,
16:00
to understand more,
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16:01
to see more ...
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16:03
and to save lives and improve lives.
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i da sačuvaju i poboljšaju živote.
16:07
Thank you.
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Hvala vam.
16:09
(Applause)
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(Aplauz)
About this website

This site will introduce you to YouTube videos that are useful for learning English. You will see English lessons taught by top-notch teachers from around the world. Double-click on the English subtitles displayed on each video page to play the video from there. The subtitles scroll in sync with the video playback. If you have any comments or requests, please contact us using this contact form.

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