title: Using RxNorm for cross-institutional formulary data normalization within a distributed grid-computing environment.
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.
authors.affiliation: University of California San Francisco, CA, USA.
authors.forename: Rob
authors.initials: R
authors.lastname: Wynden
authors.forename: Nick
authors.initials: N
authors.lastname: Anderson
authors.forename: Marco
authors.initials: M
authors.lastname: Casale
authors.forename: Prakash
authors.initials: P
authors.lastname: Lakshminarayanan
authors.forename: Kent
authors.initials: K
authors.lastname: Anderson
authors.forename: Justin
authors.initials: J
authors.lastname: Prosser
authors.forename: Larry
authors.initials: L
authors.lastname: Errecart
authors.forename: Alice
authors.initials: A
authors.lastname: Livshits
authors.forename: Tim
authors.initials: T
authors.lastname: Thimman
authors.forename: Mark
authors.initials: M
authors.lastname: Weiner
mesh_terms: D000046:Academic Medical Centers; D003195:Computer Communication Networks; D001330:Electronic Data Processing; D005569:Formularies as Topic / Q000145:classification / Q000592:standards*; D062245:RxNorm; D012984:Software; D018511:Systems Integration; D014481:United States