Cimino James J, Remennick Lyubov
Laboratory for Informatics Development, NIH Clinical Center, Bethesda, MD.
AMIA Annu Symp Proc. 2014 Nov 14;2014:405-13. eCollection 2014.
Clinical data repositories frequently contain patient diagnoses coded with the International Classification of Diseases, Ninth Revision (ICD-9-CM). These repositories now need to accommodate data coded with the Tenth Revision (ICD-10-CM). Database users wish to retrieve relevant data regardless of the system by which they are coded. We demonstrate how a terminology repository (the Research Entities Dictionary or RED) serves as an ontology relating terms of both ICD versions to each other to support seamless version-independent retrieval from the Biomedical Translational Research Information System (BTRIS) at the National Institutes of Health. We make use of the Center for Medicare and Medicaid Services' General Equivalence Mappings (GEMs) to reduce the modeling effort required to determine whether ICD-10-CM terms should be added to the RED as new concepts or as synonyms of existing concepts. A divide-and-conquer approach is used to develop integration heuristics that offer a satisfactory interim solution and facilitate additional refinement of the integration as time and resources allow.
临床数据存储库经常包含使用《国际疾病分类,第九版》(ICD - 9 - CM)编码的患者诊断信息。这些存储库现在需要容纳使用第十版(ICD - 10 - CM)编码的数据。数据库用户希望无论数据是通过何种系统编码的,都能检索到相关数据。我们展示了一个术语存储库(研究实体词典或RED)如何作为一种本体,将两个ICD版本的术语相互关联起来,以支持在美国国立卫生研究院的生物医学转化研究信息系统(BTRIS)中进行无缝的、与版本无关的检索。我们利用医疗保险和医疗补助服务中心的通用等效映射(GEMs)来减少确定ICD - 10 - CM术语应作为新概念添加到RED中还是作为现有概念的同义词所需的建模工作。采用分而治之的方法来开发集成启发式方法,该方法提供了一个令人满意的临时解决方案,并在时间和资源允许的情况下促进集成的进一步完善。