Comparing the variability of ingredient, strength, and dose form information from electronic prescriptions with RxNorm drug product descriptions.

Corey A Lester¹, Allen J Flynn², Vincent D Marshall¹, Scott Rochowiak³, Brigid Rowell¹, James P Bagian⁴

¹Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, Michigan, USA.

²Department of Learning Health Sciences, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA.

³Surescripts LLC, Minneapolis, Minnesota, USA.

⁴Center for Risk Analysis Informed Decision Engineering, Department of Industrial and Operations Engineering, College of Engineering, University of Michigan, Ann Arbor, Michigan, USA.

PubMed PMC DOI PDF

Abstract

OBJECTIVE: To determine the variability of ingredient, strength, and dose form information from drug product descriptions in real-world electronic prescription (e-prescription) data. MATERIALS AND METHODS: A sample of 10 399 324 e-prescriptions from 2019 to 2021 were obtained. Drug product descriptions were analyzed with a named entity extraction model and National Drug Codes (NDCs) were used to…

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