Table of Contents
ISRN Bioinformatics
Volume 2012, Article ID 982737, 9 pages
Research Article

Construction of a Drug Safety Assurance Information System Based on Clinical Genotyping

1Department of Computer and Information Technology, Purdue University, West Lafayette, IN 47907, USA
2Bindley Bioscience Center, Purdue University, IN 47907, USA
3Raabe College of Pharmacy, Ohio Northern University, Ada, OH 45810, USA

Received 15 August 2011; Accepted 11 September 2011

Academic Editors: S. Liuni and D. Piquemal

Copyright © 2012 John A. Springer et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


To capitalize on the vast potential of patient genetic information to aid in assuring drug safety, a substantial effort is needed in both the training of healthcare professionals and the operational enablement of clinical environments. Our research aims to satisfy these needs through the development of a drug safety assurance information system (GeneScription) based on clinical genotyping that utilizes patient-specific genetic information to predict and prevent adverse drug responses. In this paper, we present the motivations for this work, the algorithms at the heart of GeneScription, and a discussion of our system and its uses. We also describe our efforts to validate GeneScription through its evaluation by practicing pharmacists and pharmacy professors and its repeated use in training pharmacists. The positive assessment of the GeneScription software tool by these domain experts provides strong validation of the importance, accuracy, and effectiveness of GeneScription.