Value Set Resolution: Build generalizable data normalization pipeline using LexEVS infrastructure resources Explore UIMA framework for implementing semantic normalization annotators Establish and expand a globally available resource for health terminologies and value sets Collaborate with NCBO Provide consistent and standardized common model to support large-scale vocabulary use and adoption Robust, scalable, and common API to reduce variation in clinical description attributable to interface dependencies HL7 ANSI and ISO Standard Collection of programmable interfaces to access controlled terminologies and ontologies Supports deferred query resolution, payload optimization, defining and querying value sets Provides HL7 CTS 2 interface (future) SHARP Area 4 Project 1: Clinical Data Normalization Christopher G. Chute, MD, DrPH Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN Contact Background Data liquidity requires transformation of non- standard patient data into comparable consistent formats In practice, clinical data and provider information is unstructured and non-standard Overall Aim: Develop an open-source, dynamically configurable services framework to transform health information into standards- conforming, comparable, and consistent data Specific Aims: Build generalizable data normalization pipeline Semantic normalization annotators involving LexEVS Establish globally available resource for biomedical ontologies and value sets Establish and expand modular library of normalization algorithms Ontologies provide a formal specification of how to represent objects, concepts, and relationships among them Ontologies can be used for: Naming “things” (annotation) Modeling a knowledge base schema Computer reasoning over data Driving Natural Language Processing Semantic Information Integration Biomedical domain has plenty: Genotype: Gene Ontology Diseases/Findings: SNOMED-CT, ICD Laboratory Measurements: LOINC Drugs: RxNorm, NDF-RT Domain Specific: NCI Thesaurus, Protein Ontology Multiple representations available: Open Biomedical Ontologies (OBO) Web Ontology Language (OWL) Rich Release Format (RRF) Clinical Data Normalization Conclusion and Proposed Work Value Sets Creation and Querying Enterprise Vocabulary Services (EVS) The Lexical Grid Project Proposed System Architecture Biomedical Ontologies Value Set Definition with in the LexGrid logical model defines the contents of Value Set Possible forms of Value Set Definitions Containing just the reference to Code System Containing just the reference to other Value Set Includes all the concept codes defined in the referencing Value Set Definition Reference to Code System plus concept codes Reference to Code System plus concept codes plus relationship plus additional rules Includes concept codes from the referencing code system that satisfies the rule set defined in the definition Combinations Value Set services provided by EVS Load Create Remove Modify List all the Value Set Definitions loaded in the system Dynamically resolve Value Set Definition Check if one Value Set is sub set of other Value Set Check if a concept code is part of given Value Set Value Set Definition: Find the SCT term GLIOMA and its immediate children, remove the root node Value Set Demo Example