0
@wilbanks
will big data transform      health care?
how do we experience   big data now?
4
5
transforming some     spaces...
assuming cost reduction    not a great bet.
9
10
11
12
13
assume 1,000,000 downloadsassume 10% false positive rate     100,000 doctor visits      $1000 per biopsy
19 of 20 times, you didn’t need to go.
1. choose yourmonopolies wisely.
monopoly andincrementalism.
monopoly and network      effects.
once entrenched, hard to         move.
http://www.health2news.com/2012/11/08/ucsf-medical-center-ceo-explains-why-epic/
2. the rise of theopen monopoly.
any internet you want...
unintended side effect: massive increase in   sample size of   programmers
share-ers
emergence of the digital commons
no single entity maintains control       over the resource
intended effect:massive increase in  sample size of photographers
share-ers
http://www.flickr.com/photos/kalexanderson/6354182139/                      http://www.flickr.com/photos/kalexanderson/635...
all resting on astandard , open infrastructure
3. our monopolychoices in biomedical      research.
a. just like now,  but moreso
b. small matrix of    companies
c. open network
requires near-simultaneous creation of complex infrastructure.
storage, provenance, version control
http://synapse.sagebase.org
informed consent
http://weconsent.us
incentives and community
58
4. essentialcomponents.
changed roles
http://sagebridge.org
62
empowered patients
increase the sample    size through     technology
and then we give it back for free        to all the apps.
will open sourcetransform health care?
if we make the sample  size large enough...
and we choose ourmonopolies wisely...
share-ers
thank you
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
MedTech Frontiers - How Data and Open Source Will Transform Health
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MedTech Frontiers - How Data and Open Source Will Transform Health

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Lecture at MedTech Frontiers, Triple Ring Technologies.

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Transcript of "MedTech Frontiers - How Data and Open Source Will Transform Health"

  1. 1. @wilbanks
  2. 2. will big data transform health care?
  3. 3. how do we experience big data now?
  4. 4. 4
  5. 5. 5
  6. 6. transforming some spaces...
  7. 7. assuming cost reduction not a great bet.
  8. 8. 9
  9. 9. 10
  10. 10. 11
  11. 11. 12
  12. 12. 13
  13. 13. assume 1,000,000 downloadsassume 10% false positive rate 100,000 doctor visits $1000 per biopsy
  14. 14. 19 of 20 times, you didn’t need to go.
  15. 15. 1. choose yourmonopolies wisely.
  16. 16. monopoly andincrementalism.
  17. 17. monopoly and network effects.
  18. 18. once entrenched, hard to move.
  19. 19. http://www.health2news.com/2012/11/08/ucsf-medical-center-ceo-explains-why-epic/
  20. 20. 2. the rise of theopen monopoly.
  21. 21. any internet you want...
  22. 22. unintended side effect: massive increase in sample size of programmers
  23. 23. share-ers
  24. 24. emergence of the digital commons
  25. 25. no single entity maintains control over the resource
  26. 26. intended effect:massive increase in sample size of photographers
  27. 27. share-ers
  28. 28. http://www.flickr.com/photos/kalexanderson/6354182139/ http://www.flickr.com/photos/kalexanderson/6354182139/
  29. 29. all resting on astandard , open infrastructure
  30. 30. 3. our monopolychoices in biomedical research.
  31. 31. a. just like now, but moreso
  32. 32. b. small matrix of companies
  33. 33. c. open network
  34. 34. requires near-simultaneous creation of complex infrastructure.
  35. 35. storage, provenance, version control
  36. 36. http://synapse.sagebase.org
  37. 37. informed consent
  38. 38. http://weconsent.us
  39. 39. incentives and community
  40. 40. 58
  41. 41. 4. essentialcomponents.
  42. 42. changed roles
  43. 43. http://sagebridge.org
  44. 44. 62
  45. 45. empowered patients
  46. 46. increase the sample size through technology
  47. 47. and then we give it back for free to all the apps.
  48. 48. will open sourcetransform health care?
  49. 49. if we make the sample size large enough...
  50. 50. and we choose ourmonopolies wisely...
  51. 51. share-ers
  52. 52. thank you
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