This workshop develops patient-level clinical visualization workflows using patientProfilesVis, ggplot2, and Shiny. Participants work with SDTM and ADaM examples to represent individual patient journeys through events, intervals, text, and longitudinal trends. Starting with patient profile modules returned as ggplot2 objects, exercises explore how geoms, aesthetics, scales, and themes affect the presentation of dense clinical information. The session then extends static profiles into a Shiny interface for subject-level preview and interaction. The emphasis is on practical visualization choices that help organize patient information clearly and connect detailed static graphics with interactive clinical review.