Using RxNorm for cross-institutional formulary data normalization within a distributed grid-computing environment.

Rob Wynden, Nicholas Anderson, Marco Casale, Prakash Lakshminarayanan, Kent Anderson, Justin Prosser, Larry Errecart, Alice Livshits, Tim Thimman, Mark Weiner

Research output: Contribution to journalArticle

Abstract

Within the CTSA (Clinical Translational Sciences Awards) program, academic medical centers are tasked with the storage of clinical formulary data within an Integrated Data Repository (IDR) and the subsequent exposure of that data over grid computing environments for hypothesis generation and cohort selection. Formulary data collected over long periods of time across multiple institutions requires normalization of terms before those data sets can be aggregated and compared. This paper sets forth a solution to the challenge of generating derived aggregated normalized views from large, distributed data sets of clinical formulary data intended for re-use within clinical translational research.

Original languageEnglish (US)
Pages (from-to)1559-1563
Number of pages5
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
Volume2011
StatePublished - 2011
Externally publishedYes

ASJC Scopus subject areas

  • Medicine(all)

Fingerprint Dive into the research topics of 'Using RxNorm for cross-institutional formulary data normalization within a distributed grid-computing environment.'. Together they form a unique fingerprint.

  • Cite this

    Wynden, R., Anderson, N., Casale, M., Lakshminarayanan, P., Anderson, K., Prosser, J., Errecart, L., Livshits, A., Thimman, T., & Weiner, M. (2011). Using RxNorm for cross-institutional formulary data normalization within a distributed grid-computing environment. AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 2011, 1559-1563.