Transcript Document

Integrating Digital and Mobile Health:
From Next Generation Sensors to Cloud
Analytics
Speakers: Yohan Lee, PhD; Ernest Sohn
DISCLAIMER: The views and opinions expressed in this presentation are those of the author and do not necessarily represent official policy or position of HIMSS.
Topics
• Health Data Science at Booz Allen
• Use Cases and Partnerships
Data science challenges are not unique to health
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In Health …
In Other industries…
Integration of
disparate big data
sources
… combine EMR,
claims, device and
consumer data
… combine
inter/intra-agency,
web, machine data
Hypothesisagnostic data
mining and
analytics
… be responsive to
emerging patient
health status and
conditions
… be responsive to
emerging threat
landscape (national
security)
Decision support
for high risk
situations
… identify patient at
risk of worsening
conditions, safety
events, etc.
… identify high risk
targets i.e. “bad
actors” (financial
services)
We combine core technology enablers …
Core Technologies
Data ingest and
connectors
Data integration
& normalization
Cloud-based big
data compute
 Accommodate rapidly changing
device landscape
 “Come-as-you-are” paradigm for
disparate data ingestion
 Obtain economies of scale with
increasing data volumes
… with customized analytics to deliver insights
Capabilities & Services
Generate Insights
Analytic Algorithms
Domain
Expertise
Computer
Science
Mathematics
Deliver Insights
Visualizations & Interfaces
Partnerships and Use Cases
Operationalizing the Utility
of Mobile Health
Detecting Chronic Disease
Detecting Acute Onset
Thank you!