Meirav Simha Maimon

Senior Academic

A quantitative assessment of a methodology for collaborative specification and evaluation of clinical guidelines

Erez Shalom, Yuval Shahar,Meirav Taieb-Maimon,Guy Bar, Avi Yarkoni, Ohad Young, Susana B. Martins, Laszlo Vaszar, Mary K. Goldstein, Yair Liel,Akiva Leibowitz,Tal Marom,Eitan Lunenfeld

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.

Publication language English
Pages 889-903
Journal Journal of Biomedical Informatics
Volume 41
Issue number 6
Publication status Published - 01.12.2008

Keywords

Clinical decision support systems
Clinical guidelines
Completeness
Correctness
Evaluation
Knowledge acquisition
Knowledge bases
Mark-up
Ontologies
Structuring

ASJC Scopus subject areas

Computer Science Applications
Health Informatics
Access to Document
10.1016/j.jbi.2008.04.009
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Link to publication in Scopus