Information visualization for quality control in health data exchange platforms

Policy Makers, System Administrators and Designers in health care are often deluged by the complexity of maintaining a reliable information exchange platform involving multiple systems. Often two factors are taken for granted in such health data exchange settings: that the communication between systems is reliable and that the messages transmitted between systems contain quality data. We are presenting an approach to meaningfully analyzing and visualizing information exchange to provide situational awareness in data exchange platforms.