Facilitating pharmacogenetic studies using electronic health records and natural-language processing: a case study of warfarin.

ABSTRACT:

Objective

DNA biobanks linked to comprehensive electronic health records systems are potentially powerful resources for pharmacogenetic studies. This study sought to develop natural-language-processing algorithms to extract drug-dose information from clinical text, and to assess the capabilities of such tools to automate the data-extraction process for pharmacogenetic studies.

Materials and methods

A manually validated warfarin pharmacogenetic study identified a cohort of 1125 patients with a stable warfarin dose, in which 776 patients were managed by Coumadin Clinic physicians, and the remaining 349 patients were managed by their providers. The authors developed two algorithms to extract weekly warfarin doses from both data sets: a regular expression-based program for semis

SUBMITTER: Xu H 

PROVIDER: S-EPMC3128409 | biostudies-literature | 2011 Jul-Aug

REPOSITORIES: biostudies-literature