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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Representing natural-language case report form terminology using Health Level 7 Common Document Architecture, LOINC,
Dale Hunscher1, Andrew Boyd, Lee A Green
1School of Information, University of Michigan, Ann Arbor, MI, USA.
Abstract:
Clinicians and biomedical research investigators ordinarily use natural language when describing biomedical concepts and constructs, even in the context of highly structured case report forms. We describe work in progress and lessons learned in translating complex natural-language concepts on case report forms into machine-readable format using the HL7 CDA, LOINC, and SNOMED-CT standards.
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