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Stanford cs247 lecture 2 21-11 final v ss

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

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

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  • Registry data, phase 2 POC studies, value of speeding up clinical trials

Transcript

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