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First published June 23, 2006 as JAMIA PrePrint; doi:10.1197/jamia.M2093
Journal of the American Medical Informatics Association 2006;13(5):536-546
© 2006 American Medical Informatics Association


A more recent version of this article appeared on September 1, 2006
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Submitted on March 2, 2006
Accepted on June 12, 2006

Use of SNOMED CT to Represent Clinical Research Data: A Semantic Characterization of Data Items on Case Report Forms in Vasculitis Research

Rachel L. Richesson PhD, MPH1*, James Andrews PhD2, and Jeffrey Krischer PhD3

Affiliation of the authors: 1 Pediatrics Epidemiology Center, University of South Florida, Tampa, FL ; 2 School of Library and Information Science, University of South Florida, Tampa, FL ; 3 Pediatrics Epidemiology Center, University of South Florida, Tampa, FL

* To whom correspondence should be addressed.

Objective To estimate the coverage provided by SNOMED CT for clinical research concepts represented by the items on case report forms (CRFs), as well as the semantic nature of those concepts relevant to post-coordination methods.

Design Convenience samples from CRFs developed by rheumatologists conducting several longitudinal, observational studies of vasculitis were selected. A total of 17 case report forms (CRFs) were used as the basis of analysis for this study, from which a total set of 616 (unique) items were identified. Each unique data item was classified as either a clinical finding or procedure. The items were coded by the presence and nature of SNOMED CT coverage and classified into semantic types by 2 coders.

Measurements Basic frequency analysis was conducted to determine levels of coverage provided by SNOMED CT. Estimates of coverage by various semantic characterizations were estimated.

Results Most of the core clinical concepts (from 88%) from these clinical research data items were covered by SNOMED CT; however, far fewer of the concepts were fully covered (that is, where all aspects of the CRF item could be represented completely without post-coordination; 23%). In addition, a large majority of the concepts (83%) required post-coordination, either to clarify context (e.g., time) or to better capture complex clinical concepts (e.g., disease-related findings). For just over one third of the sampled CRF data items, both types of post-coordination were necessary to fully represent the meaning of the item.

Conclusions SNOMED CT appears well-suited for representing a variety of clinical concepts, yet is less suited for representing the full amount of information collected on CRFs.




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