Description
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.
Authors:
Cesar Lam (Presenter)
Moffitt Cancer Center
Christina Eldredge, University of South Florida
James Andrews, University of South Florida
Randa Perkins, Moffitt Cancer Center
Presentation Materials: