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) 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 Domain Expertise Computer Science Mathematics Visualizations & Interfaces Generate Insights Deliver Insights

Partnerships and Use Cases Detecting Chronic Disease Detecting Acute Onset Operationalizing the Utility of Mobile Health

Thank you!