Lin Yanhua, Staes Catherine J, Shields David E, Kandula Vijay, Welch Brandon M, Kawamoto Kensaku
Department of Biomedical Informatics, University of Utah, Salt Lake City, UT.
Biomedical Informatics Center, Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC.
AMIA Annu Symp Proc. 2015 Nov 5;2015:843-51. eCollection 2015.
When coupled with a common information model, a common terminology for clinical decision support (CDS) and electronic clinical quality measurement (eCQM) could greatly facilitate the distributed development and sharing of CDS and eCQM knowledge resources. To enable such scalable knowledge authoring and sharing, we systematically developed an extensible and standards-based terminology for CDS and eCQM in the context of the HL7 Virtual Medical Record (vMR) information model. The development of this terminology entailed three steps: (1) systematic, physician-curated concept identification from sources such as the Health Information Technology Standards Panel (HITSP) and the SNOMED-CT CORE problem list; (2) concept de-duplication leveraging the Unified Medical Language System (UMLS) MetaMap and Metathesaurus; and (3) systematic concept naming using standard terminologies and heuristic algorithms. This process generated 3,046 concepts spanning 68 domains. Evaluation against representative CDS and eCQM resources revealed approximately 50-70% concept coverage, indicating the need for continued expansion of the terminology.
当与通用信息模型相结合时,临床决策支持(CDS)和电子临床质量测量(eCQM)的通用术语可以极大地促进CDS和eCQM知识资源的分布式开发与共享。为实现这种可扩展的知识创作与共享,我们在HL7虚拟病历(vMR)信息模型的背景下,系统地开发了一种用于CDS和eCQM的可扩展且基于标准的术语。该术语的开发包括三个步骤:(1)从诸如健康信息技术标准小组(HITSP)和SNOMED-CT核心问题列表等来源进行系统的、由医生策划的概念识别;(2)利用统一医学语言系统(UMLS)MetaMap和叙词表进行概念去重;(3)使用标准术语和启发式算法进行系统的概念命名。这个过程产生了涵盖68个领域的3046个概念。针对代表性的CDS和eCQM资源进行评估,发现概念覆盖率约为50%-70%,这表明该术语需要持续扩展。