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System of Systems for Health and Human Services

System of Systems for Health and Human Services. Isidore Sobkowski CIO, NYC Health & Human Services June 19 , 2012. Agenda. Domain: NYC Health and Human Services Data governance Smart Systems Federated systems Big Data Business Intelligence Artificial Intelligence.

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System of Systems for Health and Human Services

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  1. System of Systems for Health and Human Services Isidore Sobkowski CIO, NYC Health & Human Services June 19, 2012

  2. Agenda • Domain: NYC Health and Human Services • Data governance • Smart Systems • Federated systems • Big Data • Business Intelligence • Artificial Intelligence

  3. Domain: NYC Health and Human Services

  4. NYC Health & Human Services • HHS Domain • Administration for Children’s Services • & Department of Juvenile Justice • Department for the Aging • Department of Health &Mental Hygiene • Department of Homeless Services • Health and Hospitals Corporation • Human Resources Administration • Department of Correction • Department of Probation • Partners • Department of Information Technology • & Telecommunications • Office of Management & Budget • Department of Youth & Community • Development • New York City Housing Authority • Small Business Services • Department of Education • Department of Finance • Serving more that 3M citizens daily • Administration of more than $22Billion in benefits and services annually HHS-Connect A holistic approach to clients & client data 4

  5. HHS-Connect, an agent for Change • Motivation for Change • Real business need • Build upon success • Case study: “Two children reunited” • Incremental “quick wins” build confidence and allows us to move along our roadmap • Think big, promise small, and deliver a quality product on time and on budget • Change is part of team’s job (“How can I make it better?”) • Formal change management • Taking the time to listen, educate, and build confidence in our management community and user community

  6. Ability to effect Change:Governance and Transparency • Stakeholder Involvementand Stakeholder Commitment • City Hall, Deputy Mayor • Commissioners 1-1 • Executive Steering Committee • OMB • DoITT • CIO Round Table • HHS-Connect Staff Meetings • Published Roadmap • Clarity • Commitment • Transparency • Confidence building

  7. HHS-Connect: Evolutionary Layers of Capability • Worker Connect • Case management • Big Data/Business Intelligence • Predictive Analytics

  8. HHS-Connect: “System-of-systems” • HHS-Connect • Break the silos • Provide a 360 view of a client in order to effectuate the best possible outcome for our citizens • Roadmap I • AccessNYC • WorkerConnect • Case management • Roadmap II • Outcome model • Financial services • WorkerConnect • Federated, transactional system of systems • Provides cross-agency visibility • Big Data: Data warehouse across all agencies • Engineered systems, ETL tools • HDFS/Hadoop/Map-Reduce, HQL/Pig, Racket, GIS, Giraph • Business Intelligence: “Integrated dashboard for HHS” • Engineered systems, BI tools • Dashboards, Drill-down, Visualization, Charts, Statistics • Artificial Intelligence: Predictive ability to provide recommendations for improved and consistent real-time outcomes • Mahout, CBR, Expert Systems, Lucene, Wika • Example: How to determine if a probationer is likely to reoffend violently?

  9. Getting it Done Move From: System Integrators Very High Cost Limited continuity (training, maintenance, enhancements, etc.) Pay per change model Move To: “Self reliance model” City Staff & ITCS managed by City Staff Support and tight integration with software product and design teams Ability to design/build/run/modify/maintain our own systems

  10. Data Governance

  11. Data Governance • Data Governance occurs at each stage • Worker Connect, Big Data, BI, AI • Point of collection, point of access, everywhere in-between • Data Ownership • Data Security • Laws, regulations, policies, procedures, and technologies

  12. Smart Systems

  13. Current State of “Smart Systems” • Why Now? • Intelligently exploit explosion of data (Davos considers data a “new national asset”) • Tipping point reached. Society now mostly comfortable with technology (privacy still a concern) • Next generation of data management is available today • - Advanced software techniques have become mainstream • - Hardware is increasingly powerful • Power vs. Heuristics • Popular system, as seem on TV, is mostly dumb but extremely fast • Tried-and true algorithms, some more than 60 years old, work very well when running on very fast hardware • Heuristics are still very important • Advanced Research* • Cognition, sentience, “feelings” • Motion (Nano-technology, Robotics, natural motion) • Autonomous interaction and imposition (Drones) • Machine-machine interaction (Internet-enabled toaster) • * Note: Advanced research is outside the scope of HHS-Connect

  14. Evolving Capability Changing the Question What is the specific Recommendation “What can I do for this person, at this moment, to achieve the best long term outcome?” Now What? “How can we better serve a given population?” So What? “What is the impact of reduced funding on benefits and services?” What? “What is the current amount spent for a selected client population across programs?” Optimization “What’s the best that can happen?” Predictive Analytics Predictive Modeling “What will happen next?” “What if these trends continue?” Forecasting/extrapolation “Why is this happening?” Statistical analysis Public Service Effectiveness Alerts “What actions are needed?” Query/drill down “What exactly is the problem?” Descriptive Analytics “How many, how often, where?” Ad hoc reports Standard Reports “What happened?” Sophistication of Intelligence

  15. Build vs Buy • Open Source (mostly Apache) vs Commercial Implementation • Commodity Servers vs Engineered Solutions • Vendors need guidance

  16. Intelligent Social Environment (ISE) Moving from an ability to record, to an ability to measure and report; then to the ability to detect patterns, predict outcomes, and more intelligently react to them. Data Information Knowledge Wisdom Fraud Fraud Fraud • PATTERNS: • Relationships • Context • Meaning • FACTS: • System of record • Generally Siloed • TRENDS: • Reports • Alerts • RECOMMENDATIONS: • Prediction • Remedy • Explanations 16

  17. One more “Take-Away”: Keep Expectations Real! "Notice that ”Cloud Computing" is on its way into the ominous "Trough of Disillusionment", but “Big Data" is just climbing to the euphoric "Peak of Inflated Expectations". Source: Gartner Group

  18. Thank you for the opportunity to share our vision and success. Questions?

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