Extracting Rx information from clinical narrative.

ABSTRACT:

Objective

The authors used the i2b2 Medication Extraction Challenge to evaluate their entity extraction methods, contribute to the generation of a publicly available collection of annotated clinical notes, and start developing methods for ontology-based reasoning using structured information generated from the unstructured clinical narrative.

Design

Extraction of salient features of medication orders from the text of de-identified hospital discharge summaries was addressed with a knowledge-based approach using simple rules and lookup lists. The entity recognition tool, MetaMap, was combined with dose, frequency, and duration modules specifically developed for the Challenge as well as a prototype module for reason identification.

Measurements

Evaluation metrics and cor

SUBMITTER: Mork JG 

PROVIDER: S-EPMC2995679 | biostudies-literature | 2010 Sep-Oct

REPOSITORIES: biostudies-literature