Springer John A, Iannotti Nicholas V, Sprague Jon E, Kane Michael D
Department of Computer and Information Technology, Purdue University, West Lafayette, IN 47907, USA ; Bindley Bioscience Center, Purdue University, IN 47907, USA.
Department of Computer and Information Technology, Purdue University, West Lafayette, IN 47907, USA.
ISRN Bioinform. 2011 Nov 29;2012:982737. doi: 10.5402/2012/982737. eCollection 2012.
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.
为了利用患者基因信息的巨大潜力来确保药物安全，在医疗保健专业人员的培训和临床环境的操作支持方面都需要付出巨大努力。我们的研究旨在通过开发基于临床基因分型的药物安全保证信息系统（GeneScription）来满足这些需求，该系统利用患者特定的基因信息来预测和预防药物不良反应。在本文中，我们阐述了这项工作的动机、GeneScription核心的算法，以及对我们的系统及其用途的讨论。我们还描述了我们通过执业药剂师和药学教授对GeneScription进行评估以及在培训药剂师时反复使用该系统来验证GeneScription的努力。这些领域专家对GeneScription软件工具的积极评价有力地验证了GeneScription的重要性、准确性和有效性。
