1 The Birth and Early Life of the Public Health Informatics Research Grid

2 Introduction Speaker: CDC: Topic: Ken Hall (Technical Architect / BearingPoint) National Center for Public Health Informatics Office of the Director The Birth and Early Life of the Public Health Informatics Research Grid

3 PHI Research Grid Living Thing Tangible Small Growing Future Unknown Conception, but first visualization

4 Visualization of Grid

5 3-Dimensional Security Services Interconnectedness

6 Evolution 2005 Proof-of-Concept Question Posed – Can we port Epi-X (silo) to Sitescape (CDC-wide collaboration tool)? Business Drivers – Save money – Reuse – Application Integration Answer – Yes; but, at a highly prohibitive cost

7 PoC Opened Door to Larger Problem ● Multiple Application Silos ● Growing Requirements for Integration, Interoperability & Data Access between Silos ● Time & Cost to Re-engineer Existing App Silos Other Public Health Application Silos Epi-X BioSense

8 What is Research if not… Taking Time to Rethink, to Innovate Artist: Kari Matz

9 Conceptual Framework (2005 – 2006) Service-oriented Architecture (SOA) SOA Framework is the digital glue that binds business processes with application logic, data, and platforms across the virtual enterprise Platform Integration Data Integration Application Integration Business Process Integration

10 Knowledge Management  Knowledge Formation  Basis in decision making  Ontology  Semantics  Data/Information/Knowledge Hierarchy Understood Knowledge Management as an “overarching paradigm for knowledge structures & potentially for systems development”

11 Knowledge Management Reference Model Presented at 2006 PHIN Conference 3-Dimensional -- Security -- Services -- Interconnectivity

12 KM Reference Model as a Potential Guide SOA Development Knowledge Management Reference Model Service-oriented Architecture Develop common set of services that support integration and interoperability across the public health domain

13 Interesting Pattern Does KM + SOA = Grid? 2006 AMIA Conference in DC 2007 HealthGrid Conference in Geneva 2007 EGEE Conference in Budapest

Research Gartner Hype Curve 2-5 Years Mainstream Adoption

15 Challenges within Public Health Wide distribution of public health data Rapid growth of public health data Cultural, social and political impediments to data sharing Dynamic and complex environment – global in scale An environment containing many redundant systems, as well as application and data silos An environment with a wide variety of complex requirements (disease surviellance, alerting, event detection, etc) – Does Grid Offer a Potential Solution for Public Health?

16 Time to Research Grid Research Design Goals ● Open-source ● Distributed ● Scalable ● Flexible ● Redundant ● Leveraging best practices What might it look like for Public Health? (conceptually)

17 Concept Graphic 2007 PHIN Conference

18 Research Principles Sustainability Low Trajectory ● Technically, financially, socially 100% Standards- based Reuseability Collaborative Open Source Distributed / Federated

19 Partnering Principles Volunteerism Willingness (without additional funding) Capacity ● Public Health ● Technical Thought Leadership ● Public Health Research ● Grid, Open Source, SOA, Distributed Systems

20 PoC 1 (Dec 2007 – Mar 2008) NCPHI Lab Opens (December 2007) Top-Down Cancer Research Focus Semantic/Syntactic Integration (Highly Complex) Conclusion Too big a pill to swallow as a whole Bottom-up / Grass-roots Agnostic Platform Loosely-coupled services Conclusion Worth further research

21 Public Health Informatics Research Grid 4 Nodes Tarrant County (Public Health) Dallas County Texas (Public Health Advanced Technology Center) Pittsburgh University (Real-time Outbreak & Disease Surveillance) CDC / NCPHI – Atlanta Certificate Authority U.S. HealthGrid Alliance (Argonne National Lab)

22 Public Health Informatics Research Grid PoC 1 Results Ease of Deployment30 – 45 Minute Download & Installation Learning CurveGrid Engineer (2 days) SecurityFirewall Changes (24 hours – 24 days, depending on institutional policies) Public Health Use CaseSimple Data & File Exchange (HL7 Files) Lessons LearnedCollaboration works Generated four new proofs-of-concept & interest by other partners Short-term funding for a few java developers

23 Public Health Informatics Research Grid New Active Partners Technology Globus Open Source Community at Argonne National Laboratory University of Edinburgh (Database Access & Integration) University of Ohio (caBig Database Access & Integration) University of Chicago (MEDICUS Project – Grid-based radiological imagery software) Public Health Research University of Utah (NCPHI Center of Excellence) University of Washington (NCPHI Center of Excellence) Harvard University (NCPHI Center of Excellence) Johns-Hopkins Advanced Physics Laboratory (NCPHI Center of Excellence) Columbia University (NCPHI Center of Excellence) Indiana Hemophilia & Thrombosis Center (St. Vincent Hospital)

24 Public Health Informatics Research Grid Columbia University: o Providing their Natural Language Processor as a service available on the research grid Johns Hopkins University Applied Physics Laboratory: o Develop a synthetic medical records service and make available on the research grid. o Develop a medical records analytics service and make available on the research grid. o Develop an information sharing service and make available on the research grid. University of Utah: o Provide analytic and data services for processing vital records data. o Provide analytic and data services for processing environmental data. University of Washington: o Provide functionality from their existing surveillance toolkit (Shoki) as a service available on the research grid. o Develop data sharing service and make available on the research grid. Harvard University: o Providing their Natural Language Processor as a service available on the research grid. o Demonstrating the feasibility of grid technology used with syndromic surveillance data generated from ESP program

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26 Public Health Informatics Research Grid Summary More Research Prove Public Health Use Cases for Grid (Common PH Services) Further Engage PHIN Community When Does Research Become Production? Research Informs the Community & the Community Decides

27 Public Health Informatics Research Grid Purpose of this Session Introduce the Biosurviellance Use Case PoC Open source development & collaboration – CDC / NCPHI – Atlanta – University of Edinburgh (Distributed Database Access) – Pittsburgh University (Real-time Outbreak & Disease Surveillance) – Jeremy Espino, MD

28 THANK YOU

29 © 2006 BearingPoint, Inc. Contact Information Ken Hall Technical Architect BearingPoint, Inc