6. • 7 out of 10 doing some kind of self tracking
• 60% of U.S. adults are tracking weight, diet
or exercise
• 1/3 of adults are tracking some other
indicator or symptom; 1/3 of caregivers are
monitoring health indicators for loved ones
• 50% of all self-trackers are only tracking "in
their heads"
• 1/5 are using technology
• 62% of adults with >2 chronic conditions is
self-tracking
Source: http://www.pewinternet.org/Reports/2011/Social-Life-of-Health-Info.aspx
7. Sharing?
- 2/3 of those who track don't share
- 1/3 are sharing: 50% w/ family 50% w/ caregiver
- 34% of self trackers affected health decision
- 40% led to asking their doctor a new question
- 46% changed overall approach to health
32. Data ≠ Insight
Insight ≠ Value
Forecasting = Unreliable
Implementation = Hard
Source: David Shaywitz http://www.medgadget.com/2013/02/futuremed-day-4-field-trips-kurzweil-and-entrepreneurship.html
39. QS challenges:
1. Data ≠ insight
2. The missing actuators
3. “The diabetes paradox” (measuring sucks)
4. Owning / licensing data
5. Self quantification vs. self-qualification
6. Self-tracking data is not generalizable
7. Data needs a soul: context + peers