TY - JOUR
T1 - A quantitative assessment of a methodology for collaborative specification and evaluation of clinical guidelines
AU - Shalom, Erez
AU - Shahar, Yuval
AU - Taieb-Maimon, Meirav
AU - Bar, Guy
AU - Yarkoni, Avi
AU - Young, Ohad
AU - Martins, Susana B.
AU - Vaszar, Laszlo
AU - Goldstein, Mary K.
AU - Liel, Yair
AU - Leibowitz, Akiva
AU - Marom, Tal
AU - Lunenfeld, Eitan
N1 - Funding Information:
We thank Dr. L. Basso and Dr. H. Kaizer for their efforts and contribution to this research in the early evaluations of the mark-up tools. This research was supported in part by NIH award number R01-LM-06806, by an IBM faculty fellowship (Y.S.), and by Deutsche Telekom Laboratories (DT-Labs) at Ben-Gurion University of the Negev. The views expressed are those of the authors and not necessarily those of the Department of Veterans Affairs.
PY - 2008/12
Y1 - 2008/12
N2 - We introduce a three-phase, nine-step methodology for specification of clinical guidelines (GLs) by expert physicians, clinical editors, and knowledge engineers and for quantitative evaluation of the specification's quality. We applied this methodology to a particular framework for incremental GL structuring (mark-up) and to GLs in three clinical domains. A gold-standard mark-up was created, including 196 plans and subplans, and 326 instances of ontological knowledge roles (KRs). A completeness measure of the acquired knowledge revealed that 97% of the plans and 91% of the KR instances of the GLs were recreated by the clinical editors. A correctness measure often revealed high variability within clinical editor pairs structuring each GL, but for all GLs and clinical editors the specification quality was significantly higher than random (p < 0.01). Procedural KRs were more difficult to mark-up than declarative KRs. We conclude that given an ontology-specific consensus, clinical editors with mark-up training can structure GL knowledge with high completeness, whereas the main demand for correct structuring is training in the ontology's semantics.
AB - We introduce a three-phase, nine-step methodology for specification of clinical guidelines (GLs) by expert physicians, clinical editors, and knowledge engineers and for quantitative evaluation of the specification's quality. We applied this methodology to a particular framework for incremental GL structuring (mark-up) and to GLs in three clinical domains. A gold-standard mark-up was created, including 196 plans and subplans, and 326 instances of ontological knowledge roles (KRs). A completeness measure of the acquired knowledge revealed that 97% of the plans and 91% of the KR instances of the GLs were recreated by the clinical editors. A correctness measure often revealed high variability within clinical editor pairs structuring each GL, but for all GLs and clinical editors the specification quality was significantly higher than random (p < 0.01). Procedural KRs were more difficult to mark-up than declarative KRs. We conclude that given an ontology-specific consensus, clinical editors with mark-up training can structure GL knowledge with high completeness, whereas the main demand for correct structuring is training in the ontology's semantics.
KW - Clinical decision support systems
KW - Clinical guidelines
KW - Completeness
KW - Correctness
KW - Evaluation
KW - Knowledge acquisition
KW - Knowledge bases
KW - Mark-up
KW - Ontologies
KW - Structuring
UR - https://www.scopus.com/pages/publications/55549125176
U2 - 10.1016/j.jbi.2008.04.009
DO - 10.1016/j.jbi.2008.04.009
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C2 - 18550447
AN - SCOPUS:55549125176
SN - 1532-0464
VL - 41
SP - 889
EP - 903
JO - Journal of Biomedical Informatics
JF - Journal of Biomedical Informatics
IS - 6
ER -