Analyzing U.S. Prescription Lists with RxNorm and the ATC/DDD Index

Overview

Journal AMIA Annu Symp Proc

Specialty Medical Informatics

Date 2015 May 9

PMID 25954332

Citations 9

Authors

Olivier Bodenreider

Laritza M Rodriguez

Affiliations

Soon will be listed here.

Abstract

Objectives: To evaluate the suitability of the ATC/DDD Index (Anatomical Therapeutic Chemical (ATC) Classification System/Defined Daily Dose) for analyzing prescription lists in the U.S.

Methods: We mapped RxNorm clinical drugs to ATC. We used this mapping to classify a large set of prescription drugs with ATC and compared the prescribed daily dose to the defined daily dose (DDD) in ATC.

Results: 64% of the 11,422 clinical drugs could be precisely mapped to ATC. 97% of the 87,001 RxNorm codes from the prescription dataset could be classified with ATC, and 97% of the prescribed daily doses could be assessed.

Conclusions: Although the mapping of RxNorm ingredients to ATC appears to be largely incomplete, the most frequently prescribed drugs in the prescription dataset we analyzed were covered. This study demonstrates the feasibility of using ATC in conjunction with RxNorm for analyzing U.S. prescription datasets for drug classification and assessment of the prescribed daily doses.

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