OBJECTIVES: Outcomes research methodologies need to advance and allow access by various disciplines as clinicians, epidemiologists, economists, and statisticians interact frequently. A data visualization tool can help present complex patterns more effectively to a diverse audience. METHODS: Patients over 65, with at least one diagnosis for PsA were selected for this study, using the 100% national Medicare data with Part D information.  We identified patients who initiated therapy with tumor necrosis factor (TNF) and non-TNF treatments. For 2 years after biologic initiation, the following treatment patterns were examined: switching to another TNF, switching to a non-TNF, and discontinuation. We created a data visualization tool using a processing language to show how patient treatment patterns change after the first and second drug switches. RESULTS: A total of 2921 patients initiated PsA therapy with a TNF agent. 6.44% of these patients switched to another TNF, 2.43% switched to a non-TNF, 51.11% discontinued therapy and 40.02% continued their initial therapy. Among patients who switched to another TNF, 50.53% remained on the switched therapy, 30.85% discontinued therapy, 18.09% switched to another TNF, and 0.53% switched to a non-TNF. In 2 years after TNF initiation, 11.76% of patients made a second switch from their initial TNF to a third TNF while 64.71% continued their second switched drug, 23.53% discontinued the second switched TNF and no patients switched to a non-TNF.  CONCLUSIONS: It can be difficult to present treatment patterns, especially when analyzing subsequent years and switches. Data visualization tools can help present these complicated flows effectively to a diverse health outcomes research audience.