Drenkhahn Cora, Duhm-Harbeck Petra, Ingenerf Josef
Institute of Medical Informatics (IMI), University of Lübeck, Lübeck, Germany.
IT Center for Clinical Research, Lübeck (ITCR-L) University of Lübeck, Lübeck, Germany.
Stud Health Technol Inform. 2019 Aug 21;264:108-112. doi: 10.3233/SHTI190193.
With the proliferation of digital communication in healthcare, the reuse of laboratory test data entails valuable insights into clinical and scientific issues, basically enabled by semantic standardization using the LOINC coding system. In order to extend the currently limited potential for analysis, which is mainly caused by structural peculiarities of LOINC, an algorithmic transformation of relevant content into an OWL ontology was performed, which includes LOINC Terms, Parts and Hierarchies. For extending analysis capabilities, the comprehensive SNOMED CT ontology is added by transferring its contents and the recently published LOINC-related mapping data into OWL ontologies. These formalizations offer rich, computer-processable content and allow to infer additional structures and relationships, especially when used together. Consequently, various reutilizations are facilitated; an application demonstrating the dynamic visualization of fractional hierarchy structures for user-supplied laboratory data was already implemented. By providing element-wise aggregation via superclasses, an adaptable, graph representation is obtained for studying categorizations.
随着医疗保健领域数字通信的激增，实验室测试数据的再利用能为临床和科学问题带来有价值的见解，这主要通过使用LOINC编码系统进行语义标准化来实现。为了扩展目前有限的分析潜力，这种潜力主要由LOINC的结构特性导致，我们对相关内容进行了算法转换，将其转换为一个OWL本体，其中包括LOINC术语、部分和层次结构。为了扩展分析能力，通过将其内容和最近发布的与LOINC相关的映射数据转移到OWL本体中，添加了全面的SNOMED CT本体。这些形式化表示提供了丰富的、可由计算机处理的内容，并允许推断额外的结构和关系，特别是当它们一起使用时。因此，便于进行各种再利用；已经实现了一个应用程序，用于展示用户提供的实验室数据的分数层次结构的动态可视化。通过经由超类提供逐元素聚合，可获得一种适用于研究分类的图形表示。
