Patients with Parkinson's disease experience fluctuating symptoms daily without a unified definition of their condition, which involves multiple states. Physicians currently have limited and subjective data from patient diaries and visits to manage Parkinson's proactively. Passive data collection has potential for remote monitoring but advanced analytics are needed to extract meaningful insights from noise within the data and help physicians better understand patients' conditions.

1. 6.11 LA QS Meetup
MJF Parkinson's Challenge
Drake Pruitt (@drakep)

3. 3
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 Patients:
– Parkinson’s: daily drudgery of improving & worsening symptoms.
– No unified definition of Parkinson’s exists; it’s multi-state.
– Many QS factors are indicative (sleep, mental state, nutrition, exercise).
 Physicians:
– Working with limited, highly subjective data (diaries, periodic office visits).
– Need data-driven services that enable pro-active management and care.
 Data:
– Passive data offers great potential for cloud-monitored care.
– Much of collected data has minimal therapeutic value at scale.
– Advanced analytics needed to discern signal from noise.
Learnings