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Ted Chan Kevin Patrick
Lucila Ohno-Machado Jeannie Huang
Bill Griswold Chaitan Baru
Yannis Papakonstantinou
Sanjoy Dasgupta Claudiu Farcas
Fredric Raab
Investigators:
• Health data are multi-layered: An individual’s health is affected by many factors across different layers
Problem
• Goal: Create platform for generating a 360-degree view of an individual’s health by integrating all relevant data. Allow efficient analytics on these data
• Successful interventions require reasoning across layers
Comprehensive Community-Level Approaches to Health Data
Yannis Katsis
NSF 1237174, Information & Intelligent Systems, 10/2012 – 08/2016
Jessica Block
Max Menarini
Center for Medicare & Medicaid Innovation Grant DELPHI will serve as the core architecture for a “Care Technology Innovation Platform” to address cardiovascular disease and stroke
DELPHI-leveraged Efforts
Organization Data Type County of San Diego, Health & Human Services Agency
Health Statistics
U.S. Census Bureau Demographics San Diego Air Pollution Control District
Air Quality
SDG&E Weather Caltrans Traffic ARJIS Crime US Customs & Border Protection
Border Wait Times
SanGIS GIS Beach Quality Report Water Quality
Authentication Server
OAuth 2.0
Application Server
Web Application
Smartphone Application
Servlets
AJAX Library
Android Library
Database Server
Application Server
Behavioral & Social Factors
Physical activity
Social Networks
Diet
Stress
Personal Medical Factors
Medical Records
BMI
Pharmaceutical
Environmental Factors
Transportation
Crime Pollutants
Health Determinants
• Source/Application libraries for Android & Web Applications Allows both native smartphone applications and web applications to act as both data consumers and data providers/sources
• HIPAA-compliant Backend Protects data behind firewall, filtering them before exposing them to the applications. Satisfies HIPAA requirements
System Architecture
Protected Backend Open Backend
F I R E W A L L
Sources/Applications
Proof of Concept
• San Diego County as a test-bed Use DELPHI to build a 360-degree view of health in San Diego by integrating health data from different local companies & agencies
Data Acquisition Acquire data of health-related factors and build corresponding wrappers
Application Development Develop applications that retrieve integrated health data from DELPHI, showcasing the need for a 360 degree view of an individual’s health
Asthma Patient App: Combines asthma info with air quality data from mobile sensors and the San Diego Air Pollution Control District
Partnerships
Predictive Analytics for Spatiotemporal Sensor Data
• Health data are often spatiotemporal Air quality data, wearable fitness tracking data, traffic data, cardiograms, etc.
DELPHI
WHOLE HEALTH
INFORMATION MODEL (WHIM)
W H A P I
I N T E R F A C E
WHIM: Models multi-level health data
ANALYTICS
WHAPI: Allows developers to access all integrated health data and write applications that leverage them
INTERFACE: Allows source owners to register their sources
DATA SOURCES APPLICATIONS
Existing DBMSs are not suitable for spatiotemporal health data Spatiotemporal data are measurements taken at different points in time & space and therefore they cannot be directly integrated and correlated
delphi.ucsd.edu
GPS Readings
Air Quality Readings
⋈
e.g., Compute average quality of air breathed during a walk
Learn from spatiotemporal health data by operating on the underlying models Instead of using the measurements, infer the corresponding model & use it for predictive analytics
& already aggregated data from several sources provided by the Healthy Communities Institute (http://www.healthycommunitiesinstitute.com/)
GPS Model
Air Quality Model
⋈
e.g., Compute average quality of air breathed during a walk
Predicts GPS position at any point in time
Predicts air quality at any point in time
& space
Unlike EMR data, the signals do not have common IDs to facilitate integration, since they are not aligned in space & time
Model-aware integration returns the expected result, since the models predict the value of the corresponding signal for each point in time & space, thus facilitating the integration
ANALYTICS LAYER: Allows developers to run common analytics efficiently
Robert Wood Johnson Foundation Grant DELPHI is being proposed as the core data integration platform for a county-wide exploration of health indicators
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