Utilization of Electronic Health Records for Drug Safety Signal Refinement

Electronic health records (EHRs) are repositories of patient health information that contain data on drug prescription and possible adverse drug reactions. Risk Sciences International (RSI) has an interest in development and application of advanced statistical techniques to address questions of drug safety through the analysis of a large hospital-based EHR dataset. We propose to create an analytical framework for the analyses of these data focusing on complexities in estimation that arise from possible correlations in the data as well as the potential for the presence of misclassification errors in these records. Collaboration with pharmacoepidemiologists at RSI will allow us to guide for the development around the application of active case studies involving drugs suspected of being associated with adverse health outcomes.

Faculty Supervisor:

Robert Platt

Student:

Partner:

Risk Science International

Discipline:

Mathematics

Sector:

Professional, scientific and technical services; Public administration

University:

McGill University

Program: