Visual analytics is an emerging discipline that has shown significant promise in addressing many of [health] information overload challenges. Visual analytics is the science of analytical reasoning facilitated by advanced interactive visual interfaces.5 In order to facilitate reasoning over, and interpretation of, complex data, visual analytics techniques combine concepts from data mining, machine learning, human computing interaction, and human cognition. As the volume of health-related data continues to grow at unprecedented rates and new information systems are deployed to those already overrun with too much data, there is a need for exploring how visual analytics methods can be used to avoid information overload.