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From a talk I gave on Oct 2, 2012 for "Living Well Through Data" at Mt. Sinai in New York. 250 health data geeks from the research, startup, and corporate worlds. Taking place on October 2nd in New York City, this event will showcase innovative data-driven projects in health and dive into the breadth and depth of health data available. By providing a platform for cross-pollination of tools and ideas, we hope to expand the boundaries of knowledge and inspire the data-driven health revolution.
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QS: The Patient-Driven Health Revolution
Living Well Through DataRock Health in partnership with Mount Sinai School of MedicineOctober 2, 2012
Steven Dean @sgdean
My start
Rate of spilling sugar!
BLUE! BLUE-!GREEN!
YELLOW-!GREEN!
YELLOW! ORANGE! ORANGE-BROWN!
48
RESTING HEART RATE
666768
42
QS as a disciplined practice.
Sep 1, 20118:30 am
Sep 2, 20118:00 am
Sep 6, 20117:13 am
Sep 8, 20118:05 am
Forms in Google Docs
QS start
Seth’s Blogself-experimentation
The Quantified Self bloglaunches 2007
New York QSJune 2009
1. What did you do?2. How did you do it?3. What did you learn?
memoryweightcognitionexercisefoodmoodsleeptimemoneylocation
caloriesstepsgoalsrelationshipswordssilenceargumentssexdreamsbooks read
genomicsdiabetesbreathingallergieshearing lossstressplacebosdatinghappiness...
The Quantified SelfOver 70 meetupsOver 10,000 membersOver 300 videos
QS show & tell talks
How visualizing health problems could help solve medical mysteries
What Katie learned...• Antibiotics made her sicker.• Doctors are skeptical of
another patient-created graph.• But health visualizations can
be a great storytelling tool.• Memories are data too.
Would adopting a carbohydrate-restricted diet result in a statistically significant difference in blood glucose?
What Jana learned...• Statistically significant change• Took time to adjust insulin• Visualizations help a lot
If we can measure it,we can improve it.
Walter De Brouwer
QS grows
Data.
Data. Probably not.
Data. Probably not.Information.
Data. Probably not.Information. Sure.
Data. Probably not.Information. Maybe.Knowledge.
Data. Probably not.Information. Maybe.Knowledge. Definitely.
Thank you.
Steven Deanbit.ly/qslivingwell
twitter.com/sgdean