TY - JOUR
T1 - Facilitating pre-operative assessment guidelines representation using SNOMED CT
AU - Ahmadian, Leila
AU - Cornet, Ronald
AU - de Keizer, Nicolette F.
PY - 2010
Y1 - 2010
N2 - Objective To investigate whether SNOMED CT covers the terms used in pre-operative assessment guidelines, and if necessary, how the measured content coverage can be improved. Pre-operative assessment guidelines were retrieved from the websites of (inter)national anesthesia-related societies. The recommendations in the guidelines were rewritten to "IF condition THEN action" statements to facilitate data extraction Terms were extracted from the IF-THEN statements and mapped to SNOMED CT Content coverage was measured by using three scores no match, partial match and complete match Non-covered concepts were evaluated against the SNOMED CT editorial documentation Results From 6 guidelines, 133 terms were extracted, of which 71% (n = 94) completely matched with SNOMED CT concepts. Disregarding the vague concepts in the Included guidelines SNOMED CT's content coverage was 89% Of the 39 non-completely covered concepts, 69% violated at least one of SNOMED CT's editorial principles or rules. These concepts were categorized based on four categories non-reproducibility. classification-derived phrases, numeric ranges, and procedures categorized by complexity. Conclusion Guidelines include vague terms that cannot be well supported by terminological systems thereby hampering guideline-based decision support systems This vagueness reduces the content coverage of SNOMED CT in representing concepts used in the pre-operative assessment guidelines. Formalization of the guidelines using SNOMED CT is feasible but to optimize this, first the vagueness of some guideline concepts should be resolved and a few currently missing but relevant concepts should be added to SNOMED CT (C) 2010 Elsevier Inc All rights reserved
AB - Objective To investigate whether SNOMED CT covers the terms used in pre-operative assessment guidelines, and if necessary, how the measured content coverage can be improved. Pre-operative assessment guidelines were retrieved from the websites of (inter)national anesthesia-related societies. The recommendations in the guidelines were rewritten to "IF condition THEN action" statements to facilitate data extraction Terms were extracted from the IF-THEN statements and mapped to SNOMED CT Content coverage was measured by using three scores no match, partial match and complete match Non-covered concepts were evaluated against the SNOMED CT editorial documentation Results From 6 guidelines, 133 terms were extracted, of which 71% (n = 94) completely matched with SNOMED CT concepts. Disregarding the vague concepts in the Included guidelines SNOMED CT's content coverage was 89% Of the 39 non-completely covered concepts, 69% violated at least one of SNOMED CT's editorial principles or rules. These concepts were categorized based on four categories non-reproducibility. classification-derived phrases, numeric ranges, and procedures categorized by complexity. Conclusion Guidelines include vague terms that cannot be well supported by terminological systems thereby hampering guideline-based decision support systems This vagueness reduces the content coverage of SNOMED CT in representing concepts used in the pre-operative assessment guidelines. Formalization of the guidelines using SNOMED CT is feasible but to optimize this, first the vagueness of some guideline concepts should be resolved and a few currently missing but relevant concepts should be added to SNOMED CT (C) 2010 Elsevier Inc All rights reserved
U2 - https://doi.org/10.1016/j.jbi.2010.07.009
DO - https://doi.org/10.1016/j.jbi.2010.07.009
M3 - Article
C2 - 20688190
SN - 1532-0464
VL - 43
SP - 883
EP - 890
JO - Journal of biomedical informatics
JF - Journal of biomedical informatics
IS - 6
ER -