Fung Kin Wah, Xu Julia, Gold Sigfried
National Library of Medicine, National Institutes of Health, Bethesda, MD
AMIA Annu Symp Proc. 2020 Mar 4;2019:438-447. eCollection 2019.
Value sets are essential in activities such as electronic clinical quality measures (eCQM) and patient cohort definition. Creation and maintenance of value sets is labor intensive and error prone. Our method aims to use existing inter-terminology maps to improve the quality of value sets that are defined in more than one terminology. For 197 eCQM value sets defined in SNOMED CT plus ICD-9-CM and/or ICD-10-CM, the map-generated codes showed good overlap with the value set codes. Manual review showed that some new codes identified by mapping should probably be included in the value sets. This could potentially augment the ICD-9-CM codes by 45% (1.5 codes), ICD-10-CM codes by 25% (1.8 codes) and SNOMED CT codes by up to 42% (4.8 codes) per value set on average. The mapping between SNOMED CT and ICD-10-PCS did not perform as well because of the granularity discrepancy in the map.
值集在诸如电子临床质量指标（eCQM）和患者队列定义等活动中至关重要。值集的创建和维护工作强度大且容易出错。我们的方法旨在利用现有的术语间映射来提高在多种术语中定义的值集的质量。对于在SNOMED CT加上ICD - 9 - CM和/或ICD - 10 - CM中定义的197个eCQM值集，映射生成的代码与值集代码显示出良好的重叠。人工审核表明，通过映射识别出的一些新代码可能应包含在值集中。这可能平均每个值集使ICD - 9 - CM代码潜在增加45%（1.5个代码），ICD - 10 - CM代码增加25%（1.8个代码），SNOMED CT代码增加多达42%（4.8个代码）。由于映射中的粒度差异，SNOMED CT与ICD - 10 - PCS之间的映射效果不佳。
