full transcript
From the Ted Talk "Eric Dishman: Health care should be a team sport"

Unscramble the Blue Letters

Now, I've had two examples I want to quickly share with you of this ndki of care customization on my own journey. The first was quite ipemsl. I finally realized some years ago that all my medical teams were optimizing my treatment for ogeinvtyl. It's like a badge of honor to see how long they can get the patient to live. I was optimizing my life for tilayqu of elfi, and quality of life for me means iemt in snow. So on my chart, I forced them to put, "Patient goal: low doses of drugs over longer periods of time, side effects friendly to skiing." And I think that's why I achieved longevity. I think that time-in-snow therapy was as mottrpina as the pharmaceuticals that I had. Now the second example of customization — and by the way, you can't customize care if you don't know your own goals, so health care can't know those until you know your own latheh care gsalo. But the second example I want to give you is, I happened to be an early guinea pig, and I got very lucky to have my whole genome ueedeqncs. Now it took about two weeks of processing on Intel's highest-end servers to make this happen, and another six months of human and computing labor to make sense of all of that tada. And at the end of all of that, they said, "Yes, those diagnoses of that clash of medical titans all of those sayre ago were wrong, and we have a better path forward." The future that Intel's working on now is to figure out how to make that computing for personalized nicmieed go from months and weeks to even hours, and make this kind of tool available, not just in the mainframes of tier-one research hospitals around the world, but in the mainstream — every patient, every cincil with ccsase to whole genome sequencing. And I tell you, this kind of care customization for everything from your goals to your genetics will be the most game-changing transformation that we witness in health care during our iitefeml.

Open Cloze

Now, I've had two examples I want to quickly share with you of this ____ of care customization on my own journey. The first was quite ______. I finally realized some years ago that all my medical teams were optimizing my treatment for _________. It's like a badge of honor to see how long they can get the patient to live. I was optimizing my life for _______ of ____, and quality of life for me means ____ in snow. So on my chart, I forced them to put, "Patient goal: low doses of drugs over longer periods of time, side effects friendly to skiing." And I think that's why I achieved longevity. I think that time-in-snow therapy was as _________ as the pharmaceuticals that I had. Now the second example of customization — and by the way, you can't customize care if you don't know your own goals, so health care can't know those until you know your own ______ care _____. But the second example I want to give you is, I happened to be an early guinea pig, and I got very lucky to have my whole genome _________. Now it took about two weeks of processing on Intel's highest-end servers to make this happen, and another six months of human and computing labor to make sense of all of that ____. And at the end of all of that, they said, "Yes, those diagnoses of that clash of medical titans all of those _____ ago were wrong, and we have a better path forward." The future that Intel's working on now is to figure out how to make that computing for personalized ________ go from months and weeks to even hours, and make this kind of tool available, not just in the mainframes of tier-one research hospitals around the world, but in the mainstream — every patient, every ______ with ______ to whole genome sequencing. And I tell you, this kind of care customization for everything from your goals to your genetics will be the most game-changing transformation that we witness in health care during our ________.

Solution

  1. sequenced
  2. access
  3. life
  4. simple
  5. quality
  6. kind
  7. years
  8. longevity
  9. clinic
  10. important
  11. health
  12. goals
  13. time
  14. medicine
  15. lifetime
  16. data

Original Text

Now, I've had two examples I want to quickly share with you of this kind of care customization on my own journey. The first was quite simple. I finally realized some years ago that all my medical teams were optimizing my treatment for longevity. It's like a badge of honor to see how long they can get the patient to live. I was optimizing my life for quality of life, and quality of life for me means time in snow. So on my chart, I forced them to put, "Patient goal: low doses of drugs over longer periods of time, side effects friendly to skiing." And I think that's why I achieved longevity. I think that time-in-snow therapy was as important as the pharmaceuticals that I had. Now the second example of customization — and by the way, you can't customize care if you don't know your own goals, so health care can't know those until you know your own health care goals. But the second example I want to give you is, I happened to be an early guinea pig, and I got very lucky to have my whole genome sequenced. Now it took about two weeks of processing on Intel's highest-end servers to make this happen, and another six months of human and computing labor to make sense of all of that data. And at the end of all of that, they said, "Yes, those diagnoses of that clash of medical titans all of those years ago were wrong, and we have a better path forward." The future that Intel's working on now is to figure out how to make that computing for personalized medicine go from months and weeks to even hours, and make this kind of tool available, not just in the mainframes of tier-one research hospitals around the world, but in the mainstream — every patient, every clinic with access to whole genome sequencing. And I tell you, this kind of care customization for everything from your goals to your genetics will be the most game-changing transformation that we witness in health care during our lifetime.

ngrams of length 2

collocation frequency
health care 9
personal health 7
dr batiuk 5
care customization 5
care networking 4
kidney transplant 3

Important Words

  1. access
  2. achieved
  3. badge
  4. care
  5. chart
  6. clash
  7. clinic
  8. computing
  9. customization
  10. customize
  11. data
  12. diagnoses
  13. doses
  14. drugs
  15. early
  16. effects
  17. examples
  18. figure
  19. finally
  20. forced
  21. friendly
  22. future
  23. genetics
  24. genome
  25. give
  26. goals
  27. guinea
  28. happen
  29. happened
  30. health
  31. honor
  32. hospitals
  33. hours
  34. human
  35. important
  36. journey
  37. kind
  38. labor
  39. life
  40. lifetime
  41. live
  42. long
  43. longer
  44. longevity
  45. lucky
  46. mainframes
  47. mainstream
  48. means
  49. medical
  50. medicine
  51. months
  52. optimizing
  53. path
  54. patient
  55. periods
  56. personalized
  57. pharmaceuticals
  58. pig
  59. processing
  60. put
  61. quality
  62. quickly
  63. realized
  64. research
  65. sense
  66. sequenced
  67. sequencing
  68. servers
  69. share
  70. side
  71. simple
  72. skiing
  73. snow
  74. teams
  75. therapy
  76. time
  77. titans
  78. tool
  79. transformation
  80. treatment
  81. weeks
  82. witness
  83. working
  84. world
  85. wrong
  86. years