Designing the visual argument for a peer-reviewed clinical publication that reframes how cardiologists evaluate LVAD therapy versus heart transplantation — transforming dense registry data into a navigable, evidence-based narrative across a 40+ slide system, interactive clinical tools, and cohesive motion design.
The HeartMate 3 has fundamentally changed outcomes for patients with end-stage heart failure — but the clinical community's assumptions haven't caught up. The data existed. The narrative didn't. We were brought in to build a visual system that could carry a 40+ slide argument from historical context through survival analysis to policy implications, all in service of a manuscript headed for peer review in the Journal of Heart and Lung Transplantation.
The core design challenge was credibility at scale: monospace typography anchored in data precision, dithered medical illustrations that gave clinical imagery texture without clinical coldness, and a deliberate cinematic framing — a 42-year-old mother with end-stage heart failure — that humanized the statistics without sentimentalizing them. Every chart was reverse-engineered from registry data and rebuilt as fully editable, publication-grade figures.






Beyond the presentation, we designed and built a fully interactive clinical tool — a multicenter recovery score calculator based on the HM3 Heart Registry (1,000+ patients, 118 centers). Clinicians input patient-specific variables — cardiomyopathy type, sex, heart failure duration, preoperative echo measurements — and receive a personalized probability of cardiac reverse remodeling during LVAD support.
The calculator transforms a logistic regression model from published literature into something a physician can use at the point of care. Not a slide. A working tool.
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This presentation system was designed to accompany and visually represent the findings of a peer-reviewed manuscript analyzing propensity-matched survival outcomes for LVAD versus heart transplant listing across age strata. The design work stands alongside published science — every chart, figure, and visual argument traces back to registry data cited in the paper.
Read the publication