Genomic discovery, collaboration, and translation using electronic health records
Narrative: Precision medicine is often described as prescribing the right drug at the right dose the first time to each patient. While the need for precision medicine is often acknowledged, the data and pathway to its implementation have been lacking. Earlier this year, President Barak Obama announced the Precision Medicine Initiative, a $215 million investment designed to accelerate discoveries and translational efforts needed to make precision medicine a reality. This initiative coupled with the emergence of electronic health records (EHRs) and the rise in genomics data will undoubtedly transform biomedical research at all levels. We provide in this scientific session an overview of the current uses of electronic health records with an emphasis on genomic discovery, extensive big data collaborations, and clinical translation in the context of precision medicine.
Session Goals: In this scientific session, we aim to
- Introduce EHRs and demonstrate uses for research
- Introduce collaborative genomic research using EHRs
- Provide a specific examples of genomic discovery and translational efforts
- Provide examples of model scientific skills and collaborations to attendees
- Inspire attendees to consider training and careers in the biomedical sciences
Intended audience: The primary intended audience includes graduate students, post-doctoral fellows, and professionals or faculty interested in big data research using electronic health records with an emphasis on genomic precision medicine. Undergraduate audience members may also be interested in these talks, which may inspire them to pursue biomedical research or clinical translational fields.
Janina M. Jeff, Post-doctoral fellow, Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai
William S. Bush, Assistant Professor, Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH
Electronic Health Records and Research Possibilities (Given by Dana Crawford)
Sarah A. Pendergrass, Investigator 1 (Assistant Professor), Biomedical and Translational Informatics Program, Geisinger Health System
Chair: Dana C. Crawford, Associate Professor, Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH