TY - GEN
T1 - DEGEL
T2 - 9th Conference on Artificial Intelligence on in Medicine in Europe, AIME 2003
AU - Shahar, Yuval
AU - Young, Ohad
AU - Shalom, Erez
AU - Mayaffit, Alon
AU - Moskovitch, Robert
AU - Hessing, Alon
AU - Galperin, Maya
PY - 2003/12/1
Y1 - 2003/12/1
N2 - 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, contextsensitive 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.
AB - 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, contextsensitive 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.
UR - http://www.scopus.com/inward/record.url?scp=0242339499&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-39907-0_18
DO - 10.1007/978-3-540-39907-0_18
M3 - Conference contribution
AN - SCOPUS:0242339499
SN - 3540201297
SN - 9783540201298
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 122
EP - 131
BT - Artificial Intelligence in Medicine - 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Proceedings
Y2 - 18 October 2003 through 22 October 2003
ER -