Diese Präsentation wurde erfolgreich gemeldet.
Wir verwenden Ihre LinkedIn Profilangaben und Informationen zu Ihren Aktivitäten, um Anzeigen zu personalisieren und Ihnen relevantere Inhalte anzuzeigen. Sie können Ihre Anzeigeneinstellungen jederzeit ändern.

Stanford cs247 lecture 2 21-11 final v ss

46.242 Aufrufe

Veröffentlicht am

Slides for guest lecture to Stanford CS247 (Interaction Design Studio) class on computer-human interaction

Veröffentlicht in: Gesundheit & Medizin
  • Loggen Sie sich ein, um Kommentare anzuzeigen.

Stanford cs247 lecture 2 21-11 final v ss

  1. 1. User Generated Health<br />Chris Hogg<br />twitter.com/cwhogg<br />citizenmed.wordpress.com<br />
  2. 2. 6,836<br />3.4<br />127/62<br />84<br />3.2<br />
  3. 3. We are currently in the era of disconnected health<br />
  4. 4. We are disconnected from our health data<br />50.7% use EMR<br />$44k in stimulus per doc<br />
  5. 5. We are disconnected from our physicians<br />
  6. 6. We are disconnected from the healthcare system<br />
  7. 7. We are disconnected from our own health<br />
  8. 8. Being disconnected leads to poor health<br />
  9. 9. Obesity Trends* Among U.S. AdultsBRFSS,1990, 1999, 2009<br />(*BMI 30, or about 30 lbs. overweight for 5’4” person)<br />1999<br />1990<br />2009<br />1/3 <br />of Americans will have diabetes by 2050<br />(CDC)<br />No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%<br />
  10. 10. The pace of drug development is slowing<br />
  11. 11. How did we lose control of our personal health identity?<br />
  12. 12. Technology will disrupt healthcare…<br />(it will just take longer than other industries)<br />80% search for health<br />3rd most popular web-based pursuit<br />(Susannah Fox, Pew Internet Project)<br />
  13. 13. Cyberchondria<br />“Unfounded escalation of concerns about common symptomatology, based on the review of search results and literature on the Web”<br />2 in 5 report increase in anxiety from medical search<br />(White and Horvitz, Microsoft Research)<br />
  14. 14. The patient is the most underutilized resource in healthcare<br />
  15. 15.
  16. 16. Measurement facilitates behavioral change<br />10.5%<br />(Seligman and Darley 1977)<br />
  17. 17. Is mHealth adoption following a familiar pattern?<br />% of Age Group<br />Age<br />Data from:<br />Brian Dolan, MobiHealthNews<br />Susannah Fox, Pew Internet Project<br />
  18. 18. Apple wants to connect you to your health<br />
  19. 19.
  20. 20. New data is more powerful<br />than a new drug<br />39% reduction in <br />hospitalizations <br />over 6 months<br />
  21. 21. 50%<br />73 million have HTN<br />69% with first MI<br />
  22. 22. Know your target audience<br />
  23. 23. Even young people have chronic medical conditions<br />% of Patients<br />Age<br />
  24. 24. # of chronic conditions for Medicare beneficiaries (65+)<br />5+conditions<br />But as people age, they get a lot more<br />No conditions<br />4conditions<br />1condition<br />3conditions<br />2 conditions<br />Presented at the Annual Academy Health Research Meeting, June 2007; CMS (Centers for Medicare and Medicare Services)<br />
  25. 25. Medical / clinical is converging with health / wellness <br />
  26. 26. What you can learn from a few data points?<br />
  27. 27. Mood Seasonality<br />Mood by Day of Week<br />
  28. 28.
  29. 29. Significant personal information from a single daily data point<br />
  30. 30. 30<br />Crowdsourcing personal health data<br />
  31. 31. Xanax(Alprazolam)<br />Exercise<br />B Vitamins<br />31<br />
  32. 32. Can crowdsourced personal health data be used to predict personalized drug responses?<br />
  33. 33. Data is beginning to flow from the system to users<br />
  34. 34. Access to data – <br />Blue Button<br />Practice Fusion<br />MSHV<br />
  35. 35. Prescription data is beginning to flow<br />Surescripts data on Rx histories<br />
  36. 36. Rx history + treatment algorithm = understanding<br />
  37. 37. You can learn a lot about a person from a few simple data points<br />
  38. 38. Beta Blockers<br />Diuretics<br />High Blood Pressure<br />Drug<br />ACE Inhibitors<br />Drug Class<br />Liptor<br />Zocor<br />Lovastatin<br />Pravachol<br />Crestor<br />Lescol<br />Calcium Channel Blockers<br />ARBs<br />Statins<br />70-80% of CAD patients have high blood pressure<br />High Cholesterol<br />Coronary Artery Disease<br />(CAD)<br />Myocardial Infarction<br />(Heart Attack)<br />Zetia<br />Tricor<br />Vytorin<br />Gemfibrozil<br />Niaspan<br />Medical Conditions<br />Event<br />HDL<br />and<br />Other<br />20-30% of CAD patients have Type 2 Diabetes <br />TZDs<br />Drug Class<br />Metformin<br />Type 2 Diabetes<br />DPP -4 Inhibitors<br />Drug<br />Sulphonylureas<br />Insulin<br />
  39. 39. Hidalgo et al. PLoS Computational Biology 5(4):e1000353 (2009)<br />http://hudine.neu.edu/<br />
  40. 40. High Cholesterol<br />High Blood Pressure<br />1<br />2<br />3<br />4<br />5<br />High Blood Pressure<br />High Cholesterol<br />High Blood Pressure<br />High Blood Pressure<br />Type 2 Diabetes<br />High Cholesterol<br />Type 2 Diabetes<br />Osteoporosis<br />
  41. 41. Social Health App<br />Social Health App<br />Social Health Layer / Health Graph<br />Google Health<br />Microsoft HealthVault<br />Practice Fusion EMR / PHR<br />AllScripts PHR<br />Other EMR / PHR System APIs<br />Google Apps<br />MSHV Apps<br />PF Apps<br />AS Apps<br />Other PHR Apps<br />
  42. 42. We are entering the era of Participatory Medicine<br />
  43. 43. A medical record is a punctuated data stream<br />Gaps filled via recollection<br />Personal Health Data<br />
  44. 44. Anamnesis<br />(patient recollection)<br />is not accurate<br />
  45. 45. EMR data + user generated data = healthstream<br />Personal Health Data<br />
  46. 46. Rx of Apps<br />Medications<br />METFORMIN 500MG BID<br />LISINOPRIL 20MG OD <br />Applications<br />
  47. 47. I will own my healthstream and health data<br />
  48. 48. The market for health data is very large<br />
  49. 49.
  50. 50. Healthcare systems are the future<br />
  51. 51. Data enables us all to become Citizen Scientists<br />
  52. 52. Can butter make you smarter?<br />
  53. 53. The MTHFR Study<br />
  54. 54. Groups of users will come together to <br />run their own <br />clinical trials<br />
  55. 55. Genomera: A platform for Citizen Science<br />
  56. 56. Future study:<br />meditation and blood pressure<br />
  57. 57. Citizen Science has the power to disrupt healthcare<br />Drug A<br />Track common measures of efficacy, potential side effects, events, etc.<br />Drug B<br />
  58. 58.
  59. 59. For those interested in learning more, the Bay Area is a good place to be…<br />
  60. 60. Chris Hogg<br />cwhogg@gmail.com<br />twitter.com/cwhogg<br />linkedin.com/in/cwhogg<br />citizenmed.wordpress.com<br />?<br />Thank You<br />

×