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THE BIG-DATA
REVOLUTION IN
HEALTHCARE
-JOEL SELANIKIO
BIG DATA IS ON
THE RISEFor example, on:
Twitter
Amazon
Facebook
ONE OF THE MAJOR PROBLEMS
FACED IN BIG DATA IS TO
ORGANIZE ALL THE INFORMATION
BUT IN HEALTH SECTOR IN A SMALL
COUNTRY LIKE INDONESIA
The data that would help solve the
problems they're trying to solve is not
actually present on the Internet
IT’S PRESENT IN THE PAPER FORM. IT'S KIND
OF ON ITS WAY OUT NOW, BUT THEY STILL
USE IT FOR 99 PERCENT OF THEIR STUFF.
DUE TO THIS:
 They don't know how many children were born
How many children there are in Bolivia or Botswana
or Bhutan.
 They don't know how many kids died last week in
any of those countries.
 They don't know the needs of the elderly, the
mentally ill
FOR ALL OF THESE DIFFERENT CRITICALLY
IMPORTANT PROBLEMS THAT THEY WANT TO
SOLVE, THEY BASICALLY KNOW NOTHING AT ALL.
A CENSUS OF A COUNTRY LIKE
INDONESIA WOULD PROBABLY TAKE
TWO YEARS TO ACCOMPLISH.
BECAUSE THEY HAVE TO GO AND
KNOCK ON TENS AND THOUSANDS OF
DOORS AND ASK QUESTIONS.
AND AFTER
THEY’VE DONE
SO MUCH, THIS
IS WHAT THEY’LL
GET…
Once they've collected all that data, of course,
someone is going to have to type that into a
computer. Often, the person isn't really paying
attention and make a lot of mistakes. So, data
quality goes down.
JOEL SELANIKIO CAME UP WITH AN IDEA OF
USING “PALMPILOTS”, THAT COULD MAKE THE
COLLECTION OF DATA REALLY QUICK AND
THEY COULD SKIP STRAIGHT TO THE
ANALYSIS AND THEN STRAIGHT TO THE USE OF
THE DATA TO ACTUALLY SAVE LIVES.
IT ACTUALLY WORKED GREAT! BUT, HE
REALIZED THAT EVEN AFTER WORKING
FOR YEARS AT A GOOD PACE IT WILL
STILL BE A TINY DROP IN THE BUCKET
THE POINT WAS THAT
ANYTHING, ANY SYSTEM THAT
DEPENDS ON A SINGLE
HUMAN BEING OR TWO OR
THREE OR FIVE HUMAN
BEINGS -- JUST DOESN'T
SCALE.
After thinking a lot he understood that the
business model for all these
businesses requires something so simple
we can use it ourselves, with little or no
training. You just have to hear about it and
So they created a software called Magpi, which has an
online form creator. No one had to speak to him, you
just had to hear about it and go to the website.
It showed unbelievable improvements in efficiency. It
was cloud based, no training, no consultants, no Joel.
But soon he recognized that right
now, even the work that they've done
with thousands of people using
BUT SOMETHING CHANGED,
Instead of having a program in which they were
scaling at such a slow rate that they could never
reach all the people who need them, they've
made it unnecessary for people to get reached
by them. They 've created a tool that lets track
the number of babies that are born and the
number of babies that die, to do all those
different things to learn more about what's
going on, and to save lives and improve lives.
BY HARSHIT SAHNI

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"The Big-Data Revolution in Healthcare" by Joel Selanikio

  • 2. BIG DATA IS ON THE RISEFor example, on: Twitter Amazon Facebook
  • 3. ONE OF THE MAJOR PROBLEMS FACED IN BIG DATA IS TO ORGANIZE ALL THE INFORMATION
  • 4. BUT IN HEALTH SECTOR IN A SMALL COUNTRY LIKE INDONESIA The data that would help solve the problems they're trying to solve is not actually present on the Internet
  • 5. IT’S PRESENT IN THE PAPER FORM. IT'S KIND OF ON ITS WAY OUT NOW, BUT THEY STILL USE IT FOR 99 PERCENT OF THEIR STUFF.
  • 6. DUE TO THIS:  They don't know how many children were born How many children there are in Bolivia or Botswana or Bhutan.  They don't know how many kids died last week in any of those countries.  They don't know the needs of the elderly, the mentally ill
  • 7. FOR ALL OF THESE DIFFERENT CRITICALLY IMPORTANT PROBLEMS THAT THEY WANT TO SOLVE, THEY BASICALLY KNOW NOTHING AT ALL.
  • 8. A CENSUS OF A COUNTRY LIKE INDONESIA WOULD PROBABLY TAKE TWO YEARS TO ACCOMPLISH. BECAUSE THEY HAVE TO GO AND KNOCK ON TENS AND THOUSANDS OF DOORS AND ASK QUESTIONS.
  • 9. AND AFTER THEY’VE DONE SO MUCH, THIS IS WHAT THEY’LL GET…
  • 10.
  • 11. Once they've collected all that data, of course, someone is going to have to type that into a computer. Often, the person isn't really paying attention and make a lot of mistakes. So, data quality goes down.
  • 12. JOEL SELANIKIO CAME UP WITH AN IDEA OF USING “PALMPILOTS”, THAT COULD MAKE THE COLLECTION OF DATA REALLY QUICK AND THEY COULD SKIP STRAIGHT TO THE ANALYSIS AND THEN STRAIGHT TO THE USE OF THE DATA TO ACTUALLY SAVE LIVES.
  • 13. IT ACTUALLY WORKED GREAT! BUT, HE REALIZED THAT EVEN AFTER WORKING FOR YEARS AT A GOOD PACE IT WILL STILL BE A TINY DROP IN THE BUCKET
  • 14. THE POINT WAS THAT ANYTHING, ANY SYSTEM THAT DEPENDS ON A SINGLE HUMAN BEING OR TWO OR THREE OR FIVE HUMAN BEINGS -- JUST DOESN'T SCALE.
  • 15. After thinking a lot he understood that the business model for all these businesses requires something so simple we can use it ourselves, with little or no training. You just have to hear about it and
  • 16. So they created a software called Magpi, which has an online form creator. No one had to speak to him, you just had to hear about it and go to the website. It showed unbelievable improvements in efficiency. It was cloud based, no training, no consultants, no Joel.
  • 17. But soon he recognized that right now, even the work that they've done with thousands of people using
  • 18. BUT SOMETHING CHANGED, Instead of having a program in which they were scaling at such a slow rate that they could never reach all the people who need them, they've made it unnecessary for people to get reached by them. They 've created a tool that lets track the number of babies that are born and the number of babies that die, to do all those different things to learn more about what's going on, and to save lives and improve lives. BY HARSHIT SAHNI