Tom Savel, MD Lead – Grid Technologies Medical Officer NCPHI, CDC Fundamentals of a Public Health Grid: Demonstration of Grid Technologies Tom Savel, MD Lead – Grid Technologies Medical Officer NCPHI, CDC 2008 PHIN Conference Session: A3 Monday, August 25, 2008 10:30 AM-12:00 PM Room: International D

Overview Current State of Surveillance in PH Value of Federation Demonstration of Distributed computing in action Distributed Data RODSA-DAI Graphical User Interface to GRID V Browser

Current State of Public Health Surveillance Intensive data gathering from medical facilities, state & locals into a giant CDC owned data warehouse Heavy use of statistical algorithms to detect anomalies in the data and trigger investigations CDC Centric Approach to developing and deploying software CDC State, County, and Local Health Departments Practitioners Laboratories

Current State Challenges Politics of control of data has been the primary obstacle to formation of a national system Much existing data remains siloed at the Local/ State level – accessibility and visualization limited Building systems non collaboratively leads to low adoption rates Facility System Medical Facilities Local/State Health Dept CDC Syndromic Surveillance BioSense Integrator BioSense AVR Local/ State Data BioSense Integrator National Data Feeds Hospital, DoD, VA , etc Clinical data BioSense Data Warehouse Lab System BioSense Integrator Local/State Health Dept Existing Capacity (RODS, ESSENCE, GIS, etc) Medical Facilities Emphasize that this is all going one way Local/ State Data Various Integrator Technologies Facility System

Future Goal: Federated Architecture Leverage Existing Capacity Distribute resources and infrastructure Increase flexibility and scalability Provide Local Control of data and services Reduces political barriers Address many privacy concerns Foster Collaboration to define requirements, priorities, develop, and deploy technology Local/State Health Dept Surveillance & Informatics Capacity Local/ State Data CDC & Other Federal Agencies Users / Experts National Data Public Health Grid Scientific and Public Health Priorities Standards, Services, Guidance Analysis / Visualization Capacity Important to note that all stakeholders particapate in ALL parts of the public health grid Local/ State Data Academic / Industry Partners

Value of Federation Significant distribution of resources and infrastructure Increased scalability decreased costs Increased leveraging of existing capacity Local control of data and services Reduces political barriers Address many privacy concerns

Why Globus? What is Globus? Most Mature (late 90s) Open Source, Lead for Grid Middleware Most Mature (late 90s) Federal Partners Use it caBIG Security - tested Digital Certificates SDN

Challenges in Biosurveillance Distributed Data Value of connecting disparate databases Using common infrastructure Very flexible for heterogeneity Barriers Costs to collect data Current high level of effort Goal of reduction Through reusable components - SOA Political

Why RODS? Availability of partnerships Currently in production First of many planned X-DAI (ESSENCE, etc.) Demo using multiple databases and Google maps…. Leveraging RODSA-DAI work (re-using services for this demonstration)

RODSA-DAI What is it? Collaborators OGSA-DAI & RODS RODS Client for OGSA-DAI Services Integrate disparate RODS instances for time- and spatial- series analyses Collaborators Univ. Edinburgh RODS team NCPHI

Data at the Grid Node Metadata: Date of Admission Admission Diagnosis Patient Age Patient Gender Patient Zip Code

Use Case Two separate hospitals Two separate databases Overlap in geographic coverage Need to get accurate picture of situation

The Process

Visualization of aggregate Counts by Zip Code Centroid

Visualization of aggregate Counts by Zip Code Centroid

Visualization of aggregate Counts by Zip Code Centroid

Visualization of aggregate Counts by Zip Code Centroid

Visualization of aggregate Counts by Zip Code Centroid

Visualization of aggregate Counts by Zip Code Centroid

Visualization of aggregate Counts by Zip Code Centroid

V Browser Single access point to “The Grid” All tools on grid (seemingly) integrated into one “meta” or “virtual” computer No need for extra software (only Java 1.5 needed) Same look and feel for both windows and linux (but customizable)

V Browser Part of the VL-e Toolkit Virtual Laboratory for e-Science Initiative Netherlands VL-e Toolkit (VLET) is intended as toolkit for grid users

V Browser Command Line vs. GUI Using grid infrastructure Demo New way of leveraging existing open source tools Runs on Globus Uses Globus Security 3rd Party – Open Source (Netherlands) Demo

Next Steps Next Portfolio of Research Extend V Browser Globus and Health Information Exchanges Security Evaluation Grid / Grid integration X-DAI - expansion

Thank You! Questions?