Thursday, June 28 at noon in Room 105 Biomedical Research Tower
“Studying drug outcomes using electronic medical records, biobanks, and informatics approaches”
Over the last few decades, growing use of Electronic Medical Records (EMRs) systems have established large practice-based clinical datasets, which are emerging as valuable resources for clinical and translational research. The longitudinal nature of the data contained within EMRs makes them ideal for quantifying drug outcomes (both efficacy and toxicity). The major challenge of using EMR for studying drug outcomes has clearly been the identification of patients’ drug exposure and outcome information from heterogeneous clinical data, including narrative reports. This presentation will describe our recent development of natural language processing (NLP) and data mining methods for extracting and modeling medication data in EMR, as well as how such informatics methods can be used to support ongoing drug studies at Vanderbilt. Two EMR-based drug studies will be discussed: 1) a drug-repositioning study – to validate that metformin, a drug for diabetes, can increase cancer survival rate; and 2) a pharmacogenetic study – to replicate known genetic associations of warfarin stable dose.
Hua Xu, PhD
Dr. Hua Xu is an Assistant Professor of Biomedical Informatics at Vanderbilt University. He co-directs the Discovery Systems Laboratory and the Biomedical Language Processing Laboratory at Vanderbilt. He is also the 2012 Chair-Elect of AMIA (American Medical Informatics Association) NLP (Natural Language Processing) working group. Dr. Xu received his Ph.D. in Biomedical Informatics from Columbia University, focusing on research areas relevant to biomedicallanguage processing. His primary research interests include NLP of clinical text, text mining of biomedical literature, and healthcare data mining. He is the author of many publications on biomedical NLP and text mining, and his research on medication extraction received the Homer Warner Award from AMIA in 2009. Dr. Xu has been involved in many NIH funded projects, and has been principal investigator on a few grants, including R01s from National Library of Medicine (NLM) and National Cancer Institute (NCI).