Using RxNorm for cross-institutional formulary data normalization within a distributed grid-computing environment
Related Experiment Video
Updated: May 26, 2026

Introductory Analysis and Validation of CUT&RUN Sequencing Data
Published on: December 13, 2024
Rob Wynden1, Nick Anderson, Marco Casale
1University of California San Francisco, CA, USA.
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.
Related Concept Videos
Dosage Regimen Designs: Nomograms and Tabulations
Bioequivalence Data: Statistical Interpretation
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
Dosage Regimen: Individualization
Dosage Regimens: Designs and Approaches
Statistical Software for Data Analysis and Clinical Trials
