Tapuria Archana, Kalra Dipak, Curcin Vasa
King's College London (KCL).
University College London.
Stud Health Technol Inform. 2020 Jun 16;270:228-232. doi: 10.3233/SHTI200156.
Computable phenotypes are gaining importance as structured and reproducible method of using electronic health data to identify people with certain clinical conditions. A formal standard is not available for defining and formally representing phenotyping algorithms. In this paper, we have tried to build a formal representation of such phenotyping algorithm.
We built EN 13606 EHR standard for building clinical archetypes to represent the computable phenotyping algorithm for 'diagnosis of cardiac failure'. As part of this work, we created a set of new clinical archetypes for defining 'cardiac failure diagnosis'. The EN13606 editor called Object Dictionary Client was used which was in-house developed by University College London. We evaluated the ability of EN 13606 to provide clinical archetypes to define EHR phenotyping algorithms using the predefined desiderata for the purpose [Mo et al].
EN 13606 archetypes could represent phenotype components grouped and nested based on their logical meaning. It was possible to build the EHR phenotyping algorithm with the clinical elements and their interrelationships along with hierarchical structure and temporal criteria. But the specific mathematical calculation and temporal relations involved in the algorithm was difficult to incorporate. These will need to be coded and integrated within the clinical information system. These archetypes can be mapped for comparison with the openEHR models. Binding to external clinical terminology is fully supported. However, it does not satisfy all the desiderata defined by Mo et al. A possible way could be an approach using phenotype ontologies and its architectural representation integrated with ISO interoperability.
The EN13606 archetypes can be used to define the phenotype algorithm that basically identifies patients by a set of clinical characteristics in their records. Phenotype representations defined in EN 13606 do not satisfy all the desiderata proposed by Mo et al. and thus currently has a limited ability to define the computable phenotyping algorithms. Further work is required to make the EN13606 standard to fully support the objective.
可计算表型作为一种利用电子健康数据识别患有特定临床病症人群的结构化且可重复的方法,正变得愈发重要。目前尚无用于定义和正式表示表型算法的正式标准。在本文中,我们尝试构建此类表型算法的正式表示。
我们构建了EN 13606电子健康记录标准以创建临床原型,用于表示“心力衰竭诊断”的可计算表型算法。作为这项工作的一部分,我们创建了一组用于定义“心力衰竭诊断”的新临床原型。使用了由伦敦大学学院内部开发的EN13606编辑器“对象字典客户端”。我们根据预先定义的要求[Mo等人]评估了EN 13606提供临床原型以定义电子健康记录表型算法的能力。
EN 13606原型可以根据其逻辑含义表示分组和嵌套的表型组件。利用临床元素及其相互关系以及层次结构和时间标准来构建电子健康记录表型算法是可行的。但算法中涉及的具体数学计算和时间关系难以纳入。这些需要在临床信息系统中进行编码和集成。这些原型可以进行映射以便与openEHR模型进行比较。完全支持与外部临床术语的绑定。然而,它并不满足Mo等人定义的所有要求。一种可能的方法是采用表型本体及其与ISO互操作性集成的架构表示。
EN13606原型可用于定义表型算法,该算法基本上通过患者记录中的一组临床特征来识别患者。EN 13606中定义的表型表示并不满足Mo等人提出的所有要求,因此目前定义可计算表型算法的能力有限。需要进一步开展工作以使EN13606标准完全支持这一目标。