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http://ieet.org/index.php/IEET/more/smith20141103

http://wellpilot.com/conditions/parkinson-s-disease
How A Scary Genetic Diagnosis Revealed Healthcare’s Dirty Data Secrets: And How To Unlock Them
We knew the risks. But last year, after my wife and I had our genomes sequenced, what we learned was still alarming. Amongst my wife’s results was a genetic variant associated with a significantly increased risk of Parkinson’s disease. And the matter-of-fact statistic on risk came with little information on how to reduce it.
So my wife booked an appointment with a genetic counsellor. And I booked an appointment with Dr. Google. After finding no comprehensive source of information on interventions associated with a reduced risk of Parkinson’s disease (a few sites mention coffee, some nicotine), I dug into research on PubMed and compiled my own list. By the time my wife had her appointment, she was armed with recommendations and references to back them up. And it was a good thing: few doctors or counselors she spoke with knew much about them.
That question led me to start an experimental research project called WellPilot. Our mission is to turn complex data into simple guidance for optimal wellbeing. And while we’ve only been at it a year, the results have reinforced my belief that the future of healthcare will be powered by data—but not until we can overcome at least four key barriers: data quantity, silos, latency and complexity.

That question led me to start an experimental research project called WellPilot. Our mission is to turn complex data into simple guidance for optimal wellbeing. And while we’ve only been at it a year, the results have reinforced my belief that the future of healthcare will be powered by data—but not until we can overcome at least four key barriers: data quantity, silos, latency and complexity.