| Using GEM-encoded guidelines to generate medical logic modules. | |
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MedLine Citation:
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PMID: 11825147 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Among the most effective strategies for changing the process and outcomes of clinical care are those that make use of computer-mediated decision support. A variety of representation models that facilitate computer-based implementation of medical knowledge have been published, including the Guideline Elements Model (GEM) and the Arden Syntax for Medical Logic Modules (MLMs). We describe an XML-based application that facilitates automated generation of partially populated MLMs from GEM-encoded guidelines. These MLMs can be further edited and shared among Arden-compliant information systems to provide decision support. Our work required three steps: (a) Knowledge extraction from published guideline documents using GEM, (b) Mapping GEM elements to the MLM slots, and (c) XSL transformation of the GEM-encoded guideline. Processing of a sample guideline generated 15 MLMs, each corresponding to a conditional or imperative element in the GEM structure. Mechanisms for linking various MLMs are necessary to represent the complexity of logic typical of a guideline. |
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Authors:
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A Agrawal; R N Shiffman |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S. |
Journal Detail:
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Title: Proceedings / AMIA ... Annual Symposium. AMIA Symposium Volume: - ISSN: 1531-605X ISO Abbreviation: Proc AMIA Symp Publication Date: 2001 |
Date Detail:
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Created Date: 2002-02-04 Completed Date: 2002-05-24 Revised Date: 2009-11-18 |
Medline Journal Info:
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Nlm Unique ID: 100883449 Medline TA: Proc AMIA Symp Country: United States |
Other Details:
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Languages: eng Pagination: 7-11 Citation Subset: IM |
Affiliation:
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Yale Center for Medical Informatics, New Haven, CT, USA. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Decision Making, Computer-Assisted* Practice Guidelines as Topic* Programming Languages Software* |
| Grant Support | |
ID/Acronym/Agency:
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1-R29-LM 05552-01A1/LM/NLM NIH HHS; T-15-LM07056/LM/NLM NIH HHS |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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