Auditing SNOMED relationships using a converse abstraction network.

Duo Wei, Michael Halper, Gai Elhanan, Yan Chen, Yehoshua Perl, James Geller, Kent A. Spackman

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

In SNOMED CT, a given kind of attribute relationship is defined between two hierarchies, a source and a target. Certain hierarchies (or subhierarchies) serve only as targets, with no outgoing relationships of their own. However, converse relationships-those pointing in a direction opposite to the defined relationships-while not explicitly represented in SNOMED's inferred view, can be utilized in forming an alternative view of a source. In particular, they can help shed light on a source hierarchy's overall relationship structure. Toward this end, an abstraction network, called the converse abstraction network (CAN), derived automatically from a given SNOMED hierarchy is presented. An auditing methodology based on the CAN is formulated. The methodology is applied to SNOMED's Device subhierarchy and the related device relationships of the Procedure hierarchy. The results indicate that the CAN is useful in finding opportunities for refining and improving SNOMED.

Original languageEnglish (US)
Pages (from-to)685-689
Number of pages5
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
Volume2009
StatePublished - 2009

All Science Journal Classification (ASJC) codes

  • Medicine(all)

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