ArticleJournal of the American Medical Informatics Association : JAMIA
Executing medical logic modules expressed in ArdenML using Drools.
Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Contemporary clinical decision support standards using Health Level Seven International Fast Healthcare Interoperability Resources.Journal of the American Medical Informatics Association : JAMIA · 2021Review
- A Comparison of Arden Syntax and Clinical Quality Language as Knowledge Representation Formalisms for Clinical Decision Support.Applied clinical informatics · 2021Article
- Evolution of the Arden Syntax: Key Technical Issues from the Standards Development Organization Perspective.Artificial intelligence in medicine · 2018Article
- A meta-model for computer executable dynamic clinical safety checklists.BMC medical informatics and decision making · 2017Article
- Style Guide: An Interdisciplinary Communication Tool to Support the Process of Generating Tailored Infographics From Electronic Health Data Using EnTICE3.EGEMS (Washington, DC) · 2015Article
- Integrating Arden-Syntax-based clinical decision support with extended presentation formats into a commercial patient data management system.Journal of clinical monitoring and computing · 2014Article
- Using Arden Syntax to identify registry-eligible very low birth weight neonates from the Electronic Health Record.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014Article
- Modeling and executing electronic health records driven phenotyping algorithms using the NQF Quality Data Model and JBoss® Drools Engine.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012Article
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Authors and funding
3 authors.
Funding
Abstract
The Arden Syntax is an HL7 standard language for representing medical knowledge as logic statements. Despite nearly 2 decades of availability, Arden Syntax has not been widely used. This has been attributed to the lack of a generally available compiler to implement the logic, to Arden's complex syntax, to the challenges of mapping local data to data references in the Medical Logic Modules (MLMs), or, more globally, to the general absence of decision support in healthcare computing. An XML representation (ArdenML) may partially address the technical challenges. MLMs created in ArdenML can be converted into executable files using standard transforms written in the Extensible Stylesheet Language Transformation (XSLT) language. As an example, we have demonstrated an approach to executing MLMs written in ArdenML using the Drools business rule management system. Extensions to ArdenML make it possible to generate a user interface through which an MLM developer can test for logical errors.
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