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Clinical Interoperability Council January 21, 2010 Phoenix, Arizona Dianne M. Reeves National Cancer Institute

Overview: NCI caDSR and Semantic Services. Clinical Interoperability Council January 21, 2010 Phoenix, Arizona Dianne M. Reeves National Cancer Institute. Semantic Infrastructure Evolution . Semantic Infrastructure Evolution (SI) will Promote data discovery and reuse

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Clinical Interoperability Council January 21, 2010 Phoenix, Arizona Dianne M. Reeves National Cancer Institute

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  1. Overview: NCI caDSR and Semantic Services Clinical Interoperability Council January 21, 2010 Phoenix, Arizona Dianne M. Reeves National Cancer Institute

  2. Semantic Infrastructure Evolution Semantic Infrastructure Evolution (SI) will • Promote data discovery and reuse • Use ISO 11179 Ed. 3.0 for repository federation • Improve analysis/requirements approach • Promote Services • Promote interactions between business partners • Implement the HL7 SAEAF • Move from a 2-part semantic environment to 4-part • Metadata • Vocabulary • Rules • Models

  3. The ECCF Specification Stack Technology Viewpoint tests Conformance Statements collected in cells

  4. Conceptual view of the various kinds of repositories

  5. Phases Inception Elaboration Construction Transition Production 9 Disciplines Business Modeling User Experiences Requirements Analysis & Design Implementation Deployment Test Configuration & Change Mngt Environment Project Management Initial Elab #1 Elab #2 Const #1 Const #2 Const #N Tran #1 Tran #2 Production Iterations Software EngineeringLifecycle Overview

  6. What is the focus of SI Requirements Development? • Project Constraints • Budget, Timeframe, Regulatory, etc • Functional and Data Requirements • Deals with direct end users of the system  Things the system must do to must meet a business objective or goal in order to satisfy an actor in a use case • What are the services/functionality it must provide? • Compare Models • Tell me what the rules were for setting this field to “Y” • Find Data that Matches a Service Input or Output • Find Service that can be used with my Data • Transform my code into an equivalent code acceptable by the other system • Extend an enumeration with additional permitted values/choices • Etc.

  7. What is the focus of SI Requirements Development? • Non Functional Requirements • Indirect and Direct end users • Look and Feel Requirements • Usability Requirements – ie making the product usable with relatively low of knowledge • Performance Requirements • Operational and Environmental Requirements • Maintainability and Support Requirements • Security Requirements • Cultural and Political Requirements • Legal Requirements

  8. Direct Stakeholder Profiles • caBIG Life Sciences • Juli Klemm, caEHR • SDOs and other • Government Agencies • HL7, CDISC, CIC • Drug Companies • Novatis, Genzyme • Sue Dubman Patient Advocates • Federated 11179 MDR • and Terminology Services • Ad hoc Service Interoperability • Semantic Workflows • Leverage semantic web technology in caBIG to support • Search and discovery • Share platform independent • data standards • Federated 11179 MDR and Terminology Services • Technology Enabled CRFs • Structured Authoring Tools • An infrastructure that • Helps them get personalized care • Information Modelers and Developers • John Koish, Paul Boyes, Sal Mungal, Sharon Gaheen, Tajas Dave, Patrick McConnell • ?? • caBIG Clinical Sciences • John Speakman, Hannes Niedner • caEHR • Terminologists • Bob Friemuth • ISO 21090 Datatypes • Share/reuse models and behavioral semantics • Rules engine/repository • Streamlining Control/Creating/Sharing /Reusing metadata • (Conformance Profiles) to support • Tools for searching/browsers • LIMS Ontology • NLP Searches • Enrich Metadata for Services: Ad hoc Service Interoperability • (Provenance:/Pre-processing, QoS, Contacts) • Discover/Compare/Extend/Constrain existing service components • Terminology Authoring • and Mapping between vocabularies • Semantic Query for Terminologies • Cancer Centers • MD Anderson, Michael Riben, Emory – Joel Saltz, Todd Parnell • DataManagers • & Metadata Curators • D. Reeves • Federated 11179 MDR • Terminology Services • Rules and Workflow • Better support for finding collecting and aggregating data on the Grid • Clinician friendly search/browse and harmonization support • Customizable download • Forms Repository • CRFs and variables • CTMS Software • Vendors • MediData, Velos Federated 11179 MDR • CDE and VD Services • CRFs • International Collaborators • other MDRs • cancerGrid • NCI Internal • Systems • CTEP, DCP • Christo Andonyadis

  9. Data RepositoryA Analytic Service 1 ‘caDSR’ Registry Static Semantics What is this data? Does it match The Service? What is this data? Does it fit? Analytic Service 2 Data RepositoryB Transformation Service DR 1->2 Service Registry What is the syntax of the input and output data? Model Validation Service Data RepositoryC Can I make DRA fit AS1? Pre-Processing Service 1 Data RepositoryD Rules Registry Yes, you need to pre-process it, then use Transformation Service DRA-> AS1 Etc…

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