Methods and applications for visualization of SNOMED CT concept sets

A.R. Højen; E. Sundvall; K.R. Gøeg

doi:10.4338/ACI-2013-09-RA-0071

Applied Clinical Informatics, Table of Contents

Appl Clin Inform 2014; 05(01): 127-152
DOI: 10.4338/ACI-2013-09-RA-0071

Research Article

Schattauer GmbH

Methods and applications for visualization of SNOMED CT concept sets

Authors

A.R. Højen

¹Department of Health Science and Technology, Medical Informatics, Aalborg University, Denmark
E. Sundvall

²Department of Biomedical Engineering, Linköping University, Sweden

³County Council of Östergötland, Sweden
K.R. Gøeg

¹Department of Health Science and Technology, Medical Informatics, Aalborg University, Denmark

Abstract

Summary

Inconsistent use of SNOMED CT concepts may reduce comparability of information in health information systems. Terminology implementation should be approached by common strategies for navigating and selecting proper concepts. This study aims to explore ways of illustrating common pathways and ancestors of particular sets of concepts, to support consistent use of SNOMED CT and also assess potential applications for such visualizations.

The open source prototype presented is an interactive web-based re-implementation of the terminology visualization tool TermViz that provides an overview of concepts and their hierarchical relations. It provides terminological features such as interactively rearranging graphs, fetching more concept nodes, highlighting least common parents and shared pathways in merged graphs etc.

Four teams of three to four people used the prototype to complete a terminology mapping task and then, in focus group interviews, discussed the user experience and potential future tool usage. Potential purposes discussed included SNOMED CT search and training, consistent selection of concepts and content management.

The evaluation indicated that the tool may be useful in many contexts especially if integrated with existing systems, and that the graph layout needs further tuning and development.

Citation: Højen AR, Sundvall E, Gøeg KR. Methods and applications for visualization of SNOMED CT concept sets. Appl Clin Inf 2014; 5: 127–152

http://dx.doi.org/10.4338/ACI-2013-09-RA-0071

Keywords

Clinical terminology - Implementation - SNOMED CT - Information Visualization - knowledge representation

Full Text

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