Generalizing the Arden Syntax to a Common Clinical Application Language

Generalizing the Arden Syntax to a Common Clinical Application Language
复制标题

将雅顿语法推广为通用临床应用语言

DOI:
10.3233/978-1-61499-852-5-675
复制
发表时间:
2018
影响因子:
--
通讯作者:
Stefan Kraus
Stefan Kraus
中科院分区:
--
文献类型:
--
作者:
Stefan Kraus

文献摘要

被引文献

相似文献

Arden Medical Logic Systems是一个以医学逻辑模块(MLM)形式编码和共享知识的标准。尽管Arden语言的设计旨在满足数据驱动的临床事件监测的要求,但多项研究表明,其语言结构可能适用于预期应用领域之外,甚至可以作为通用的临床应用语言。然而,这种更广泛的背景要求重新考虑一些语言特征。本文的目的是概述了相关的修改的基础上,广义雅顿版本。实现的原型提供了对标准的多种调整,例如使用编程语言构造而不使用框架式MLM结构的选项,JSON兼容的数据类型系统,使用MLM作为用户定义函数的方法,以及对具有集成数据映射的REST式Web服务的本地支持。这项研究的目的并不是要推广一种真正的新语言,而是一种经过验证的Arden标准的更通用版本。这种易于理解的针对常见临床应用的领域特定语言可能涵盖多个额外的医学子域,并作为任意临床算法的通用弗兰卡,因此避免了机构之间甚至机构内部的多种通用语言的拼凑。
The Arden Syntax for Medical Logic Systems is a standard for encoding and sharing knowledge in the form of Medical Logic Modules (MLMs). Although the Arden Syntax has been designed to meet the requirements of data-driven clinical event monitoring, multiple studies suggest that its language constructs may be suitable for use outside the intended application area and even as a common clinical application language. Such a broader context, however, requires to reconsider some language features. The purpose of this paper is to outline the related modifications on the basis of a generalized Arden Syntax version. The implemented prototype provides multiple adjustments to the standard, such as an option to use programming language constructs without the frame-like MLM structure, a JSON compliant data type system, a means to use MLMs as user-defined functions, and native support of restful web services with integrated data mapping. This study does not aim to promote an actually new language, but a more generic version of the proven Arden Syntax standard. Such an easy-to-understand domain-specific language for common clinical applications might cover multiple additional medical subdomains and serve as a lingua franca for arbitrary clinical algorithms, therefore avoiding a patchwork of multiple all-purpose languages between, and even within, institutions.