PURPOSE: The results of HEOR studies can be difficult to understand, interpret, and use effectively. Recent developments in data visualization in other fields can inform novel strategies for effective evidence communication in HEOR. The purpose of this workshop is to: 1) present the scientific theory behind how individuals receive and process complicated information, including graphically; 2) highlight challenges, and innovative developments in, data visualization and evidence communication in HEOR; and 3) identify participants’ preferences for data visualization, and potential solutions for their data challenges. DESCRIPTION: First, we will review the latest science on the effective use of data visualization. We will then consider where these techniques have been successful, and less successful, using real-world HEOR data. Ross Tsuyuki will review trends in visualization of economic model output, using a model of a pharmacist-led intervention for hypertension. Andrew Lloyd will discuss the challenges in presenting PRO study findings in a meaningful way; contributed to by the measurement properties of commonly-used instruments, and the extent to which we can interpret differences in scores. Shelagh Szabo will demonstrate the visualization of the results of additional case studies of real-world observational, evidence synthesis, and PRO studies. These examples will illustrate the value of dynamic interfaces in presenting the results of complex analyses; as well as the use of infographics for scientifically-credible storytelling. Bonnie Donato will review considerations from the HEOR industry perspective; including changing needs of key audiences (e.g. HTA and other payers), challenges in ensuring product messages are clearly communicated, and thoughts on how data visualization tools can effectively support healthcare decision-making. Finally, participants will participate in a real-time survey where their choices on a series of comparisons will reveal their preferences for data visualization output. Participants will then be able to present their own data visualization challenges to workshop members, to brainstorm potential solutions.