MedExtractR: A targeted, customizable approach to medication extraction from electronic health records.

ABSTRACT:

Objective

We developed medExtractR, a natural language processing system to extract medication information from clinical notes. Using a targeted approach, medExtractR focuses on individual drugs to facilitate creation of medication-specific research datasets from electronic health records.

Materials and methods

Written using the R programming language, medExtractR combines lexicon dictionaries and regular expressions to identify relevant medication entities (eg, drug name, strength, frequency). MedExtractR was developed on notes from Vanderbilt University Medical Center, using medications prescribed with varying complexity. We evaluated medExtractR and compared it with 3 existing systems: MedEx, MedXN, and CLAMP (Clinical Language Annotation, Modeling, and Processing). We al

SUBMITTER: Weeks HL 

PROVIDER: S-EPMC7025369 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature