Top Banner
Client Logo COMET International Meeting Bristol UK July 11, 2011 Harmonizing Terminology Steven Hirschfeld, MD PhD Captain, U.S. Public Health Service Associate Director for Clinical Research Acting Director, National Children’s Study Eunice Kennedy Shriver National Institute of Child Health and Human Development
41

Client Logo COMET International Meeting Bristol UK July 11, 2011 Harmonizing Terminology Steven Hirschfeld, MD PhD Captain, U.S. Public Health Service.

Dec 16, 2015

Download

Documents

Jevon Coxwell
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
  • Slide 1
  • Slide 2
  • Client Logo COMET International Meeting Bristol UK July 11, 2011 Harmonizing Terminology Steven Hirschfeld, MD PhD Captain, U.S. Public Health Service Associate Director for Clinical Research Acting Director, National Childrens Study Eunice Kennedy Shriver National Institute of Child Health and Human Development
  • Slide 3
  • No financial or governance interests to disclose All opinions expressed are those of the author and may not represent the views and policies of the U.S. Federal government or any of its agencies 2 Disclosures
  • Slide 4
  • Why terminology? Outcomes in research are based on concepts For example, man with pneumonia Concepts require terms that are specific to describe them and differentiate them from other concepts For example, man with respiratory inflammation, influenza, tuberculosis or silicosis Terminology is the tool for precision to allow consistency and multiple analyses 3
  • Slide 5
  • What are current options? Systematized Nomenclature of Medicine (SNOMED)- in use for medical records and research International Classification of Disease (ICD)- in use for epidemiology and reimbursement. Several versions in use concurrently Medical Dictionary for Regulatory Activities (MedDRA)- in use for therapeutic and diagnostic product development and registration Multiple subspeciality and niche terminologies 4
  • Slide 6
  • What is the dilemma? The major terminologies do not readily map to one another None are robust for child health and development, particularly at the youngest ages All are episodic in that they describe a single circumstance and do not relate concepts across a developmental time line 5
  • Slide 7
  • 6 AAP: American Academy of Pediatrics CDC: Centers for Disease Control and Prevention CDISC: Clinical Data Interchange Standards Consortium EPA: Environmental Protection Agency ICH-E11: International Conference on Harmonisation SNOMED: Systematized Nomenclature of Medicine
  • Slide 8
  • What is new and different? The NICHD terminology system differs from other terminology systems by incorporating into all concepts a dimension of time and position along a developmental scale to relate concepts to one another 7
  • Slide 9
  • Rationale for terminology initiative The NICHD has an ongoing effort to establish, through stakeholder consensus, a core library of consistent and harmonized pediatric terms. Reaching stakeholder consensus on terminology will benefit pediatric clinical researchers in the following ways: Provide the infrastructure necessary to compare and aggregate data and information. Prevent misinterpretation. Improve precision of data sharing. Permit more robust meta analysis. Establish consistency with the health care delivery system across the NICHDs clinical research portfolio, across the portfolios of other NIH Institutes/Centers, as well as with the broader research community. 8
  • Slide 10
  • Harmonization Process The terminology harmonization process involves identifying relevant concepts, identifying terms and definitions to describe the concepts, and graphically depicting the structure of and relationships between the concepts. 9
  • Slide 11
  • What is the framework? A model developed in the Unified Modeling Language (UML) can be used to map the concepts of interest and can be leveraged by modeling tools to efficiently and extensibly harmonize terminology 10
  • Slide 12
  • Example of UML Framework Identification & Demographics Physical Examination Behavioral & Neurological Examination Biochemical/Physiologic/ Genetic Examination Examination Tool Parts: Imaging & Other Findings http://nichd.nih.gov/clinres/terminology
  • Slide 13
  • Terminology Development Process 1. Identify concepts and reference terminology: Determine the terms that will require harmonization. Identify which of the terms are unique concepts. Reference terminology resources to find matching concepts. 2. Develop model: Develop a model for concepts as a terminology that depicts concepts and their attributes and the relationships between concepts. Prepare terminology to be incorporated into a reference terminology, such as the NCI Thesaurus. 3. Annotate model: Use terminology curation tools, such as the NCIs Semantic Integration Workbench (SIW) to annotate the model with the reference terminology. 4. Review concepts with the community: Inform experts in pediatric community of terminology development effort and facilitate collaboration. Solicit input and feedback on proposed concepts from the pediatric community and harmonize with model. 5. Load metadata and generate tools: Load metadata from the annotated model to a metadata repository, such as the NCIs cancer Data Standards Repository (caDSR). Leverage open source clinical research tools to extract metadata to generate content specific clinical research tools. 12
  • Slide 14
  • 1. Trace list of sources 2. Draft tool 3. Structure concepts 4. Develop model 5. Curate Common Data Elements 6. Generate Research Tool American Health Information Community (1) Demographics; ---------------------------------- ---------------------------------- ---------------------------------- --------- (2) Physical Examination; ---------------------------------- ---------------------------------- ---------------------------------- ---------------------------------- ------------ Draft Tool (1) Demographics; ------------------------------------ ------------------------------------ ------------------------------------ ------------ (2) Physical Examination; ------------------------------------ ------------------------------------ ------------------------------------ ------------------------------------ ---------------- Final Newborn Examination Tool Draft Examination Tool NCI Thesaurus UML Model Common Data Elements browser Final Examination Tool Sources Visual Depiction of Terminology Development Process
  • Slide 15
  • Core Terminology Library NICHD terminology files are available for download from an NCI EVS ftp site (http://evs.nci.nih.gov/ftp1/NICHD/) in three formats. A textual representation of the hierarchy of NICHD terms is provided as well; the terms in this hierarchy, which are restricted to NICHD terms only, do not necessarily have a direct parent-child relationship within the NCI Thesaurus (NCIt). The Changes file is published monthly and contains all changes that have been made to NICHD content in the current production version of the NCIt when compared to the most recently posted previous file.http://evs.nci.nih.gov/ftp1/NICHD/ Instructions at: http://evs.nci.nih.gov/ftp1/NICHD/About.html http://evs.nci.nih.gov/ftp1/NICHD/About.html 14
  • Slide 16
  • hasLifeStage resultsIn The NICHD Pediatric Terminology Metastructure provides a common information model associated with various child life stages occursIn associatedWith evidenceOf associatedWith affects
  • Slide 17
  • Current Activities Focus on neonatal terminology because: Largest gaps in major terminology schema Existence of robust research networks Multi Step Process Identify general domains Align concepts Map concepts to a common resource Agree on mapping Publish map 16
  • Slide 18
  • Advantages to Current Process Retention of legacy tools Ability to pool data and perform meta- analyses Systematic identification of knowledge gaps and opportunities Path forward for further harmonization and consensus terminology incorporating model and framework 17
  • Slide 19
  • The National Childrens Study as a case study 18
  • Slide 20
  • Overview of the National Childrens Study (NCS) The NCS is mandated by the U.S. Congress and implemented by the Eunice Kennedy Shriver National Institute of Child Health and Human Development of the National Institutes of Health with advice and input from other NIH components, the Centers for Disease Control and Prevention and the Environmental Protection Agency It is a multi-year research study that will examine the effects of environmental influences on the health and development of more than 100,000 children across the United States, following them from before birth until age 21 years The goal of the Study is to improve the health and well-being of children and contribute to understanding the influence of various factors on health and disease 19
  • Slide 21
  • The NCS is an integrated system of activities The Study is an integrated system of activities that include a pilot Study which began in January 2009 with the goal of determining the feasibility, acceptability and cost of Study activities, a Main Study scheduled to begin in calendar year 2012 to determine exposure-response relationships and various substudies and formative research projects to examine specific methodological questions The pilot Study, also known as the Vanguard Study, will run for 21 years, enroll about 4000 families, and precede Main Study activities by about 3 years so that every aspect of the Main Study is field tested prior to scale up and implementation 20
  • Slide 22
  • NCS Vanguard Study Goals Vanguard Study designed to evaluate: Feasibility (technical performance) Acceptability (impact on participants, study personnel, and infrastructure) Cost (personnel, time, effort, money) of Study recruitment Logistics and operations Study visits and study visit assessments 21
  • Slide 23
  • The National Childrens Study takes an informatics approach that is flexible to support innovation and accommodate evolving technology The approach to informatics for the National Childrens Study is informed by several trends in informatics, including: modular architecture use of standardized terminology with curation semantic awareness scalability defined transmission standards open architecture and open source platforms with development communities vertical and horizontal integration of process interoperability
  • Slide 24
  • The National Childrens Study informatics approach is standards-based During the Vanguard phase of the NCS, multiple informatics platforms and tools are in the field to determine the performance characteristics of each. This approach entails the use of NCS specifications to which each potential informatics solution must comply plus a systematic evaluation scheme to compare performance Use of such standards complements an interoperable approach that allows support for common interfaces and data exchange specifications Such standards include: Data Documentation Initiative (DDI) Clinical Data Acquisition Standards Harmonization (CDASH) CDISC Operational Data Model (ODM) ISO 11179 / 21090 CRoss-Industry Standard Process for Data Mining (CRISP-DM) 23
  • Slide 25
  • Standards + Modular = Flexibility The NCS emphasis on interoperable modular architecture means that any component of a data system can accurately and efficiently communicate with other data systems, while adhering to international data standards such as ones developed by the Clinical Data Interchange Standards Consortium (www.cdisc.org), such that its components can be reused or adapted for other studieswww.cdisc.org 24
  • Slide 26
  • NCS Data Life Cycle From concept to archive, the NCS has a consistent approach to the data life cycle Description can be found in the NCS Data Life Cycle Concepts of Operation http://www.nationalchildrensstudy.gov/about/overview/Pages/ NCS_concept_of_operations_04_28_11.pdf 25
  • Slide 27
  • The NCS incorporates Operational Data Elements Operational Data Elements are defined as data elements that capture the research process. In some contexts the term paradata is used. The Operational Data Elements will allow systematic and objective evaluation of how the study is conducted and provide a basis for continuous improvement of efficiency The NCS developed a catalog or code list of about 500 Operational Data Elements for various study operations The NCS would like to contribute to the establishment of standards for Operational Data Elements 26
  • Slide 28
  • Metadata derived from harmonized terminology for the Study provides a layer of semantic interoperability across the data life cycle The NCS data life cycle follows data approach through data acquisition to data analysis, maximizing transparency and the understanding of NCS data Study data elements are guided by the NICHD Pediatric Terminology framework developed across many sources in the research, healthcare delivery, and standards development spectrum Consistent metadata will assure: Semantic interoperability and compliance with international data standards Syntactic interoperability between NCS information management systems as they exchange data in line with the data plan
  • Slide 29
  • Various semantic schemas are harmonized so that data may be accurately exchanged and analyzed among pre-existing systems A bridging schema, or metastructure, provides a mapping among concepts and codes from individual terminology schema used by networks or research endeavors The metastructure is publicly available, and the source terminology schema is the property of and maintained by the original owners As the National Children's Study proceeds, all developmental stages through age 21 years will be covered in a Pediatric Terminology Metastructure and many fields of research will be included
  • Slide 30
  • A metadata model has emerged that meets the semantic and syntactic requirements of the Study The Data Documentation Initiative (DDI) is a metadata specification and international standard for describing data from the social, behavioral and economic sciences The DDI model is aligned for CDISC SDTM vocabularies and CDISC BRIDG protocol definition The CDISC family of standards (including BRIDG, SDTM and CDASH) include objects useful in describing health research not found in DDI DDI Combined Life Cycle Model
  • Slide 31
  • The DDI-based metadata repository supports cyclical processes for both pre-analytical datasets and analytical datasets Pre-analytical data datasets can be produced and repurposed for new uses such as support for additional performance metrics or linkage with extant datasets Data analysis may uncover recruitment, retention and/or compliance problems which lead to protocol change
  • Slide 32
  • The DDI-based metadata repository for the NCS is an end-to- end solution that allows scoping and incremental development The CRoss-Industry Standard Process for Data Mining (CRISP-DM) can be used to standardize project management and to maximize data transparency and eventual analysis of NCS data Analysis Preparation Data Preparation Data Understandin g Business Understanding Results Evaluation Identify key business objectives Identify key constraints & assumptions Translate business objectives into metrics or questions Identify potential data sources Assess suitability of each data source for analysis Extract data Describe data Explore data Assess data quality Match and merge data Clean data Reformat data for analysis Select analytic algorithms Code algorithms Validate algorithms Validate assumptions Execute algorithms Capture and interpret results Iteratively improve any discrepancies / shortcomings Translate results into business metrics or answers to questions Present results including detailed documentation of entire process Analysis Execution
  • Slide 33
  • DDI covers the entire NCS data lifecycle from protocol definition and sampling strategy through data collection, analysis, and distribution
  • Slide 34
  • In the NCS data lifecycle, forms and questionnaires are first specified Domain groups define measures to capture study operations and the child development life cycle Forms and questionnaires are specified around the measures These specification occur early in the NCS data life cycle and are captured by the NCS end-to-end metadata repository An NCS Incident Report is captured in the DDI model
  • Slide 35
  • Data elements corresponding to the questions are typed Form and questionnaire code lists are typically composed without regard to common data elements and standard code lists Instead they are responsive to context and the exigencies of form and questionnaire design This has led us to the approach that corresponds to DDI classifications in which there are categories and codes or, in other words, master code lists and specific code lists
  • Slide 36
  • Master and specific code lists are maintained for internal (Study-specific) and external harmonization Form and questionnaire specific code lists almost always include missing values In NCS the Incident Report is not restricted to adverse events, but encompasses other classifications All of these classifications are captured in the Incident Type code list which goes with the question What category best describes the incident (mark one)?
  • Slide 37
  • Specific code lists are the product of master code lists A code list for a question is compositional The composition of question specific code lists typically includes a subset from a category/master collection of missing values Mixing and matching questions across many categories leads to better comparison of answers across forms and across time in a longitudinal study
  • Slide 38
  • Metadata tagging provides a path for mapping to external references Data elements are associated with concepts, with external references through unique identifiers External references can be made to an ISO 21090 Concept Descriptor and/or an OpenEHR archetype In these external references each value of a code list might be linked to a concept This is our path to ISO 11179 compliance and, in the case of incident type, an NCS code list that combines code lists from many vocabularies
  • Slide 39
  • The NCS data life cycle reaches the production of analysis datasets that conform to the CDISC ODM interchange standard Variables are packaged into logical records Physical dataset definitions are constructed that document the various datasets researchers will request and receive
  • Slide 40
  • Ongoing and Future Collaboration As the National Childrens Study evolves over time, it will continue to seek continuous input and partnership from willing collaborators and adhere to and inform international data standards to the highest extent possible The National Childrens Study aims to connect people, data and diverse systems to exchange and use information and to work together as a platform for innovative research and analysis, to ultimately improve the health and well-being of children
  • Slide 41
  • Summary and Plans The NCS utilizes standards from multiple sources to ensure an open source sustainable and interoperable informatics environment The NCS is field testing in the Vanguard or Pilot phase several tools and platforms concurrently in a systematic fashion to determine performance characteristics The integration of multiple standards and models allows exploration of meta data analyses, operational data elements and project management across all study activities The NCS will publicly disseminate findings as rapidly as possible and actively seeks collaborators 40
  • Slide 42
  • For more information on the National Childrens Study Please visit the main website: http://www.nationalchildrensstudy.gov/ http://www.nationalchildrensstudy.gov/ Organizations, groups or individuals that are interested in contributing to the effort or learning more are encouraged to contact: Steven Hirschfeld, MD PhD [email protected] 41