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

Integration of disparate big data sources

Hypothesis-agnostic data mining and analytics

Decision support for high risk situations

… combine EMR, claims, device and consumer data

… be responsive to emerging patient health status and conditions

… identify patient at risk of worsening conditions, safety events, etc.

… combine inter/intra-agency, web, machine data

… be responsive to emerging threat landscape (national security)

… identify high risk targets i.e. “bad actors” (financial services)

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In Health … In Other industries…

We combine core technology enablers …

Core Technologies

Data ingest and connectors

Data integration & normalization

Cloud-based big data compute

“Come-as-you-are” paradigm for disparate data ingestion

Obtain economies of scale with increasing data volumes

Accommodate rapidly changing device landscape

… with customized analytics to deliver insights

Capabilities & Services

Analytic Algorithms

DomainExpertise

ComputerScience Mathematics

Visualizations & InterfacesGenerate Insights Deliver Insights

Partnerships and Use Cases

Detecting Chronic Disease

Detecting Acute Onset

Operationalizing the Utility of Mobile Health

Thank you!