Hunscher Dale, Boyd Andrew, Green Lee A, Clauw Daniel J
School of Information, University of Michigan, Ann Arbor, MI, USA.
AMIA Annu Symp Proc. 2006;2006:961.
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.
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。
