Contrast imaging plays a pivotal role in the diagnosis, staging, and treatment of cancer. Cancer patients may be at an increased risk for contrast media reactions (CMRs). We sought to use a data-driven approach to determine potential risk factors for CMRs and evaluate challenges to automated data abstraction. Key challenges were: lack of a standardized approach to data collection, missing data points, and the need for an improved data reporting format.
Learning Objective: Learners who view this poster will be able to identify challenges to data abstraction to identify risk factors in contrast imaging in a cancer center patients using the electronic medical record and quality improvement registry data.
Cesar Lam (Presenter)
Moffitt Cancer Center
Christina Eldredge, University of South Florida
James Andrews, University of South Florida
Randa Perkins, Moffitt Cancer Center