Medication and indication linkage

A practical therapy for the problem list?

Matthew M. Burton, Linas Simonaitis, Gunther Schadow

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

Background: Establishing a relationship between medications and diagnoses within a functioning electronic medical record system (EMR) has many valuable applications,such as improving the quality and utility of the problem list to support better decisions.Methods: We evaluated over 1.6 million de-identified patient records from the Regenstrief Medical Record System (RMRS) with over 90 million diagnoses and 20 million medications. Using RxNorm, the VA National Drug File Reference Terminology, and SNOMED-CT (SCT)standard terminologies and mappings we evaluated the linkage for local concept terms for medications and problems (diagnoses & complaints).Results: We were able to map 24,398 candidates as medication and indication pairs. The overall sensitivity and specificity for term pairs was 67.5% and 86% respectively and 39.5% and 97.4 when adjusted for term pair occurrence within single patient records.Conclusions: Medications can be mapped by machine to a disease/ disorder using established terminology standards.This mapping may inform many knowledge management and decision support features in an EMR.

Original languageEnglish (US)
Pages (from-to)86-90
Number of pages5
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2008
Externally publishedYes

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Terminology
Electronic Health Records
RxNorm
Systematized Nomenclature of Medicine
Knowledge Management
Chromosome Mapping
Medical Records
Therapeutics
Sensitivity and Specificity
Pharmaceutical Preparations

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Medication and indication linkage : A practical therapy for the problem list? / Burton, Matthew M.; Simonaitis, Linas; Schadow, Gunther.

In: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 2008, p. 86-90.

Research output: Contribution to journalArticle

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