Construction of a drug safety assurance information system based on clinical genotyping

Abstract

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.

Figure 1

Tables (∗ denotes an identifier.  ^∧ denotes float).

Figure 2

Data structures (∗ denotes an identifier.  ^∧ denotes float).

Figure 3

Dose curves with minimum effective and toxic concentrations.

Algorithm 1

GeneDrugMatch algorithm.

Algorithm 2

Graph algorithm.

Algorithm 3

CreateDoseCurve algorithm (X and Y refer to coordinates in curve).