Use of RxNorm and NDF-RT to normalize and characterize participant-reported medications in an i2b2-based research repository.

Journal Article (Journal Article)

The MURDOCK Study is longitudinal, large-scale epidemiological study for which participants' medication use is collected as free text. In order to maximize utility of drug data, while minimizing cost due to manual expert intervention, we have developed a generalizable approach to automatically coding medication data using RxNorm and NDF-RT and their associated application program interfaces (APIs). Of 130,273 entries, we were able to accurately map 122,523 (94%) to RxNorm concepts, and 106,135 (85%) of those drug concepts to nodes under the Drug by VA Class branch of NDF-RT. This approach has enabled use of drug data in combination with other complementary information for cohort identification within an i2b2-based participant registry. The method may be generalized to other projects requiring coding of medication data from free-text.

Full Text

Duke Authors

Cited Authors

  • Blach, C; Del Fiol, G; Dundee, C; Frund, J; Richesson, R; Smerek, M; Walden, A; Tenenbaum, JD

Published Date

  • 2014

Published In

Volume / Issue

  • 2014 /

Start / End Page

  • 35 - 40

PubMed ID

  • 25717397

Pubmed Central ID

  • PMC4333688

International Standard Serial Number (ISSN)

  • 2153-4063

Language

  • eng

Conference Location

  • United States