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Key Data Elements in Myeloid Leukemia

机译:髓性白血病的关键数据元素

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Data standards consisting of key data elements for clinical routine and trial documentation harmonize documentation within and across different health care institutions making documentation more efficient and improving scientific data analysis. This work focusses on the field of myeloid leukemia (ML), where a semantic core of common data elements (CDEs) in routine and trial documentation is established by automatic UMLS-based form analysis of existing documentation models. These CDEs (n=227) were initially reviewed and commented by leukemia experts before they were systematically surveyed by an international voting process through seven hematologists of four countries. The total agreement score was 86%. 116 elements (51%) of these share an agreement score of 100%. This work generated CDEs with language-independent semantic codes and international clinical expert review to build a first approach towards an international data standard for ML. A first version of the CDE list is implemented in the data standard Operational Data Model and additional other data formats for reuse in different medical information systems.
机译:数据标准由临床日常规则和试验文件的关键数据元素组成,在不同的医疗机构内和跨不同的医疗机构中统一文档,使文档更有效和改善科学数据分析。这项工作侧重于髓性白血病(ML)的领域,其中通过基于自动的UMLS的形式分析来建立例程和试验文档中的常见数据元素(CDES)的语义核心的现有文档模型的分析。这些CDES(n = 227)最初被白血病专家评论并评论,并通过四个国家的七名血液学师进行了系统地被国际投票过程进行了系统地调查。总协议得分为86%。 116个要素(51%)这些股份的协议得分为100%。这项工作产生了独立于语言的语义代码和国际临床专家审查的CDES,以建立一个用于ML的国际数据标准的第一种方法。 CDE列表的第一个版本在数据标准操作数据模型和其他其他数据格式中实现,以便在不同的医疗信息系统中重用。

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