Extracting Rx information from clinical narrative

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 corresponding results were provided by the Challenge organizers. Results The results indicate that robust rule-based tools achieve satisfactory results in extraction of simple elements of medication orders, but more sophisti...

• Type: Journal
• Year: 2010
• Where: JAMIA
• Authors: James G. Mork, Olivier Bodenreider, Dina Demner-Fushman, Rezarta Islamaj Dogan, François-Michel Lang, Zhiyong Lu, Aurélie Névéol, Lee B. Peters, Sonya E. Shooshan, Alan R. Aronson
• Keywords: Entity Extraction Methods, JAMIA 2010, Medication Extraction Challenge, Medication Orders