I don't think data science for health is in any way limited to wearables. I think this is the first time we've had the opportunity to do real data science at a

I don't think data science for health is in any way limited to wearables. I think this is the first time we've had the opportunity to do real data science at a massive scale with patient data of all sorts, including electronic medical record (EMR) data. This is because we now have: - Widespread use of EMRs - Decent standardized schemas for representing that data (i.e. FHIR https://www.hl7.org/fhir/ https://www.hl7.org/fhir/) - Not-terrible medical ontologies (i.e. RxNorm for drugs, LOINC for labs, Snomed for concepts etc.) - Reasonably accessible tools to process the massive datasets (<insert big data toolkit here>) Many of these things emerged or matured fairly recently, so I think we're going to see a real explosion in medically relevant data science. Fitbit/wearable sensor data is only the beginning, I think things like meaningfully informing diagnoses of patients based on medical history beyond what a doc or nurse could do on their own is within reach, and the sky's the limit! (Full disclosure I work for a health DS startup, and was an Insight Fellow, although prior to the health program existing)