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Arden 语法与临床质量语言在临床决策支持中的知识表示形式比较。

A Comparison of Arden Syntax and Clinical Quality Language as Knowledge Representation Formalisms for Clinical Decision Support.

机构信息

Department of Medicine, University of Colorado, Aurora, Colorado, United States.

Department of Medicine, University of California, Los Angeles, California, United States.

出版信息

Appl Clin Inform. 2021 May;12(3):495-506. doi: 10.1055/s-0041-1731001. Epub 2021 Jun 30.

Abstract

OBJECTIVES

This article presents a comparative study of two Health Level Seven International (HL7) standards for clinical knowledge representation, the Arden Syntax and the Clinical Quality Language (CQL), regarding their expressiveness and utility to represent knowledge for clinical decision support (CDS) systems.

METHODS

We compiled a concatenated set of features from both languages and made descriptive comparisons of 27 categories covering areas of language characteristics, data, control statements, and operators.

RESULTS

Both Arden and CQL have similar constructs that can be used for representing CDS knowledge but also have unique constructs that could support distinct use cases. They have constructs that fully or partially address several of the categories used in the comparison, except for data models and terminologies in Arden and event triggering and iteration statements in CQL.

CONCLUSION

These standards can facilitate the sharing, management, and reuse of computable knowledge, and permit knowledge to be represented with their languages and converted to a machine-friendly executable code that can be shared and reused by other systems. Having support for standard data models and terminologies will continue to be a differential for adoption of a language. The HL7 working groups responsible for developing these standards can direct future development to enhance the functions of the standard and address the gaps identified in this study.

摘要

目的

本文对两种健康信息交换标准组织(HL7)的临床知识表示国际标准,即 Arden 语法和临床质量语言(CQL),进行了比较研究,以评估它们在临床决策支持(CDS)系统中表示知识的表现力和实用性。

方法

我们从两种语言中编译了一组连续的特征,并对涵盖语言特征、数据、控制语句和运算符等 27 个类别的 27 个类别进行了描述性比较。

结果

Arden 和 CQL 都有类似的结构,可以用于表示 CDS 知识,但也有独特的结构,可以支持不同的用例。它们具有可以完全或部分解决比较中使用的几个类别的结构,除了 Arden 中的数据模型和术语以及 CQL 中的事件触发和迭代语句。

结论

这些标准可以促进可计算知识的共享、管理和重用,并允许使用它们的语言表示知识,并将其转换为可由其他系统共享和重用的机器友好的可执行代码。支持标准数据模型和术语将继续成为采用语言的差异因素。负责开发这些标准的 HL7 工作组可以指导未来的发展,以增强标准的功能,并解决本研究中发现的差距。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e58/8245210/57bc8dd9ec71/10-1055-s-0041-1731001-i200309ra-1.jpg

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