OBJECTIVES: In recent years, methodologies used in outcomes research have advanced. A tool to effectively communicate information through graphical means is a necessity in a field where clinicians, epidemiologists, economists, and statisticians interact frequently. Using data visualization techniques, we present treatment patterns among patients with psoriasis. METHODS: Using 100% National Medicare Data with Part D information for psoriasis patients over 65, who had at least one diagnosis for psoriasis were selected for study.  We identified patients who initiated therapy with tumor necrosis factor (TNF) and non-TNF medications. For 2 years after the initiation of biologics, we examined treatment patterns such as switching to another TNF, a non TNF, and discontinuation. Using a processing language, we created a data visualization tool to show how patients change their treatment pattern after first, second and third switches. RESULTS: 2,208 psoriasis patients initiated their therapy with a TNF agent. 7.47% switched to another TNF, 2.22% switched to a non-TNF, 53.35% discontinued their therapy and 36.96% continued their initial therapy. Among the patients who switched to another TNF, 49.70% stayed on the switched therapy, 29.70% discontinued, 20.00% switched to another TNF and no patients switched to a non-TNF. In 2 years after TNF initiation, 6.06% of patients who made a second switch from an initial TNF, switched to a third TNF. 69.70% continued their second switch, 24.24% discontinued their second TNF and no patients switched to a non-TNF.  CONCLUSIONS: Data visualization tools can effectively help researchers visualize these complicated treatment patterns, which can be difficult to present, especially if analyzed for subsequent years and with various switching patterns.