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The big-data revolution in healthcare

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The big-data revolution in healthcare

  1. 1. REVIEW ON THE TED TALK THE BIG-DATA REVOLUTION IN HEALTHCARE
  2. 2. MAJOR PROBLEM IN GLOBAL HEALTH Even though the light is better on the Internet, the data that would help solve the healthcare problems is not actually present on the Internet. So we don't know, for example, how many people right now are being affected by disasters or by conflict situations. We don't know for, really, basically, any of the clinics in the developing world, which ones have medicines and which ones don't. We don't know how many children were born - or how many children there are - in Bolivia or Botswana or Bhutan.
  3. 3. For all of these different critically important problems or critically important areas that we want to solve problems in,we basically know nothing REASON: Usage of obsolete methods like paper forms for tapping, recording data, with no guarantee of it being loaded into a computer and being analysed.
  4. 4. THUS IT WAS TIME FOR
  5. 5. INTRODUCING PALM PILOTS FOR DATA RECORDING
  6. 6. Why can't we put the forms on these PalmPilots? And go out into the field just carrying one PalmPilot, which can hold the capacity of tens of thousands of paper forms? Why don't we try to do that? Because if we can do that, if we can actually just collect the data electronically, digitally, from the very beginning, we can just put a shortcut right through that whole process of typing, of having somebody type that stuff into the computer. We can skip straight to the analysis and then straight to the use of the data to actually save lives." THOUGHT PROCESS:
  7. 7. INTRODUCING SOFTWARE- MAGPI This software thus helped recording data easier than before!
  8. 8. MAGPI- ONLINE FORM CREATOR
  9. 9. EFFECTIVENESS- The whole point of it, just like with the PalmPilots, was that you'd be able to collect the data and immediately upload the data and get your data set. But what was found, of course, since it's already on a computer, it can deliver instant maps and analysis and graphing. We can take a process that took two years and compress that down to the space of five minutes. Cloud based, no training, no consultants, no person. Also, a wider reach!
  10. 10. APPROPRIATE AND EFFICIENT USE OF BIG DATA CAN SAVE LIVES!
  11. 11. BY – TANAY KARNIK

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