| Executing medical logic modules expressed in ArdenML using Drools. | |
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MedLine Citation:
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PMID: 22180871 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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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Authors:
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Chai Young Jung; Katherine A Sward; Peter J Haug |
Publication Detail:
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Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S. Date: 2011-12-16 |
Journal Detail:
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Title: Journal of the American Medical Informatics Association : JAMIA Volume: 19 ISSN: 1527-974X ISO Abbreviation: J Am Med Inform Assoc Publication Date: 2012 Jul-Aug |
Date Detail:
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Created Date: 2012-07-23 Completed Date: 2012-12-20 Revised Date: 2013-04-16 |
Medline Journal Info:
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Nlm Unique ID: 9430800 Medline TA: J Am Med Inform Assoc Country: United States |
Other Details:
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Languages: eng Pagination: 533-6 Citation Subset: IM |
Affiliation:
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Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Artificial Intelligence* Decision Support Systems, Clinical* Humans Information Dissemination Knowledge Management Pattern Recognition, Automated* Programming Languages* Reference Standards User-Computer Interface |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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