TY - GEN
T1 - Can Physicians Structure Clinical Guidelines? Experiments with a Mark-Up-Process Methodology
AU - Shalom, Erez
AU - Shahar, Yuval
AU - Taieb-Maimon, Meirav
AU - Bar, Guy
AU - Martins, Susana B.
AU - Young, Ohad
AU - Vaszar, Laszlo
AU - Liel, Yair
AU - Yarkoni, Avi
AU - Goldstein, Mary K.
AU - Leibowitz, Akiva
AU - Marom, Tal
AU - Lunenfeld, Eitan
PY - 2009/11/2
Y1 - 2009/11/2
N2 - We have previously developed an architecture and a set of tools called the Digital electronic Guideline Library (DeGeL), which includes a web-based tool for structuring (marking-up) free-text clinical guidelines (GLs), namely, the URUZ Mark-up tool. In this study, we developed and evaluated a methodology and a tool for a mark-up-based specification and assessment of the quality of that specification, of procedural and declarative knowledge in clinical GLs. The methodology includes all necessary activities before, during and after the mark-up process, and supports specification and conversion of the GL's free-text representation through semi-structured and semi-formal representations into a machine comprehensible representation. For the evaluation of this methodology, three GLs from different medical disciplines were selected. For each GL, as an indispensable step, an ontology-specific consensus was created, determined by a group of expert physicians and knowledge engineers, based on GL source. For each GL, two mark-ups in a chosen GL ontology (Asbru) were created by a distinct clinical editor; each of the clinical editors created a semi-formal mark-up of the GL using the URUZ tool. To evaluate each mark-up, a gold standard mark-up was created by collaboration of physician and knowledge engineer, and a specialized mark-up-evaluation tool was developed, which enables assessment of completeness, as well as of syntactic and semantic correctness of the mark-up. Subjective and objective measures were defined for qualitative and quantitative evaluation of the correctness (soundness) and completeness of the marked-up knowledge, with encouraging results.
AB - We have previously developed an architecture and a set of tools called the Digital electronic Guideline Library (DeGeL), which includes a web-based tool for structuring (marking-up) free-text clinical guidelines (GLs), namely, the URUZ Mark-up tool. In this study, we developed and evaluated a methodology and a tool for a mark-up-based specification and assessment of the quality of that specification, of procedural and declarative knowledge in clinical GLs. The methodology includes all necessary activities before, during and after the mark-up process, and supports specification and conversion of the GL's free-text representation through semi-structured and semi-formal representations into a machine comprehensible representation. For the evaluation of this methodology, three GLs from different medical disciplines were selected. For each GL, as an indispensable step, an ontology-specific consensus was created, determined by a group of expert physicians and knowledge engineers, based on GL source. For each GL, two mark-ups in a chosen GL ontology (Asbru) were created by a distinct clinical editor; each of the clinical editors created a semi-formal mark-up of the GL using the URUZ tool. To evaluate each mark-up, a gold standard mark-up was created by collaboration of physician and knowledge engineer, and a specialized mark-up-evaluation tool was developed, which enables assessment of completeness, as well as of syntactic and semantic correctness of the mark-up. Subjective and objective measures were defined for qualitative and quantitative evaluation of the correctness (soundness) and completeness of the marked-up knowledge, with encouraging results.
KW - Clinical decision support systems
KW - Clinical guidelines
KW - Completeness
KW - Correctness
KW - Evaluation
KW - Knowledge acquisition
KW - Mark-up
KW - Ontologies
UR - http://www.scopus.com/inward/record.url?scp=70350373679&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-03262-2_6
DO - 10.1007/978-3-642-03262-2_6
M3 - Conference contribution
AN - SCOPUS:70350373679
SN - 3642032613
SN - 9783642032615
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 67
EP - 80
BT - Knowledge Management for Health Care Procedures - ECAI 2008 Workshop, K4HelP 2008, Revised Selected Papers
T2 - ECAI Workshop on Knowledge Management for Health Care Procedures, K4HelP 2008
Y2 - 21 July 2008 through 21 July 2008
ER -