Despite the widespread adoption of clinical guidelines (i.e. canonical
treatment plan templates that represent generally accepted best practices),
significant variations in care are often found across a population of
patients. Gaps between the actual treatment programs performed on patients
and the recommended guidelines are inevitable given the complexity of
disease, differences between patients, and the individualized
patient-centered decisions made by clinicians during each encounter. This
poster presents a visualization tool designed to help clinical organizations
better understand these gaps in care. We describe the input data, our
analysis technique to classify individual gap events, and an interactive
visualization technique which aggregates and summarizes the results for
clinical interpretation.