| Methods, tools and technologies |
 DeGeL
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Creation of ontology-independent tools to support the development and implementation of
a Digital electronic Guideline Library.
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| keywords |
Main objective |
| Medical decision-support systems,
specification, maintenance, search, retrieval, browsing, visualization, enactment of clinical guidelines,
clinical guideline representation formats, hybrid representation of clinical guidelines, guideline ontologies, guideline classification,
semantic markup,
hybrid meta-ontology, Asbru, GEM, treatment, chronic diseases.
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Development of
a Web-based, modular, distributed architecture to support (i)
the development and implementation of
clinical guideline applications and (ii) the creation of a Digital electronic Guideline Library.
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| Summary
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The DeGeL project is focused on providing automated support for
the specification and use of clinical guidelines in the treatment of patients, particularly those with chronic conditions (diabetes, hypertension, depression...).
The DeGeL project has developed a wide range of tools to support the development and implementation of guideline applications.
In the DeGeL method, a guideline can first be converted from free text into semantically semi-structured text and semi-formal
language by a medical expert using a markup editor, then to a fully formal, executable representation by a knowledge engineer.
The framework can support guideline specification, maintenance, full-text search, context-sensitive search, retrieval,
browsing, visualization, quality assessment and enactment. The feasibility of the architecture and tools have been demonstrated using the Asbru and GEM guideline modelling methods.
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Further introductory information on the DeGeL project is provided below in the abstract to [Shahar et al, 2003].
Detailed information on the tasks central to guideline-based care that DeGeL aims to support, the
tools designed to achieve them, and on the DeGeL eGuidelines Library are provided HERE.
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| references
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Shahar Y, Young O, Shalom E, Mayaffit A, Moskovitch R,
Hessing A, and Galperin M.
DeGeL: A Hybrid, Multiple-Ontology Framework for
Specification and Retrieval of Clinical Guidelines.
Proceedings of the 9th Conference on Artificial Intelligence in Medicine—Europe
(AIME) ‘03, Protaras, Cyprus, Oct. 2003, Springer-Verlag Heidelberg, pp. 122 - 131.
[Ben Gurion University]
[Springer - AIME2003 Conference Proceedings]
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Abstract "
Clinical Guidelines are a major tool in improving the quality of
medical care. However, most guidelines are in free text, not machine comprehensible,
and are not easily accessible to clinicians at the point of care. We introduce
a Web-based, modular, distributed architecture, the Digital Electronic
Guideline Library (DeGeL), which facilitates gradual conversion of clinical
guidelines from text to a formal representation in a chosen guideline ontology.
The architecture supports guideline classification, semantic markup, context sensitive
search, browsing, run-time application, and retrospective quality assessment.
The DeGeL hybrid meta-ontology includes elements common to all
guideline ontologies, such as semantic classification, and domain knowledge.
The hybrid meta-ontology also includes three guideline-content representation
formats: free text, semi-structured text; and a formal representation. These
formats support increasingly sophisticated computational tasks. All tools are
designed to operate on all representations. We demonstrated the feasibility of
the architecture and the tools for the Asbru and GEM guideline ontologies.
" |
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| start date
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end date
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location |
support |
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February 2001
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December 2004 |
Medical Informatics Research Center, Ben Gurion Umiversity, Israel |
Supported in part by NIH award No. LM-06806 |
| contact |
links |
Yuval Shahar
yshahar@bgumail.bgu.ac.il
Ohad Young
ohadyn@bgumail.bgu.ac.il
Department of Information Systems Engineering
Ben-Gurion University of the Negev
Beer-Sheva 84105, Israel
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Entry in directory: January 13 2004
Last main update: January 16 2004 |
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