Comparative Effectiveness Research Award

A major focus of my research is using data science methods (e.g. machine learning) to extract meaningful information from radiological images, radiology reports, and electronic health records to investigate the impact of imaging on patient outcomes and costs. The CER Award has allowed me to pursue this work further and the results from this project will be used in a forthcoming NIH R21 grant proposal being submitted summer 2017.

The vision and generosity of the FASNR are amazing. With increasing scrutiny on the value of imaging, concerns about costs, and the surge in data science techniques, the FASNR has shown strong leadership and forward thinking by investing in investigator-initiated projects such as ours. Donors should continue their support of the FASNR because their contributions are helping to shape the present and future of our field in ways that will positively affect many ASNR members.