使用健康级别7通用文档架构、逻辑观测标识符名称和编码系统（LOINC）以及医学系统命名法临床术语（SNOMED-CT）来表示自然语言病例报告表术语：经验教训。
Representing natural-language case report form terminology using Health Level 7 Common Document Architecture, LOINC, and SNOMED-CT: lessons learned.
作者信息
Hunscher Dale, Boyd Andrew, Green Lee A, Clauw Daniel J
机构信息
School of Information, University of Michigan, Ann Arbor, MI, USA.
出版信息
AMIA Annu Symp Proc. 2006;2006:961.
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.
摘要
临床医生和生物医学研究人员在描述生物医学概念和构建时通常使用自然语言，即使是在高度结构化的病例报告表的背景下。我们描述了正在进行的工作，以及在使用HL7 CDA、LOINC和SNOMED-CT标准将病例报告表上复杂的自然语言概念转换为机器可读格式过程中所学到的经验教训。
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