Automated mapping of local radiology terms to LOINC.

Daniel Vreeman, Clement J. McDonald

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

We developed an automated tool, called the Intelligent Mapper (IM), to improve the efficiency and consistency of mapping local terms to LOINC. We evaluated IM's performance in mapping diagnostic radiology report terms from two hospitals to LOINC by comparing IM's term rankings to a manually established gold standard. Using a CPT-based restriction, for terms with a LOINC code match, IM ranked the correct LOINC code first in 90% of our development set terms, and in 87% of our test set terms. The CPT-based restriction significantly improved IM's ability to identify correct LOINC codes. We have made IM freely available, with the aim of reducing the effort required to integrate disparate systems and helping move us towards the goal of interoperable health information exchange.

Original languageEnglish
Pages (from-to)769-773
Number of pages5
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2005

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Logical Observation Identifiers Names and Codes
Radiology

ASJC Scopus subject areas

  • Medicine(all)

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Automated mapping of local radiology terms to LOINC. / Vreeman, Daniel; McDonald, Clement J.

In: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 2005, p. 769-773.

Research output: Contribution to journalArticle

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