Stanford Medicine Metadata Design System

Making complex medical data easier to understand and use.

Stanford Medicine needed a clearer way to normalize fragmented research metadata across institutions. I designed the interface for a machine learning powered terminology tool that made large datasets easier to navigate, review, and standardize in real time.

My role

Interface design UX clarity and information hierarchy Visual design and production

Approach

I translated a technically complex workflow into a clean, accessible interface. The system balanced dense research data with clear actions, consistent patterns, and a structure designed for global collaboration.

Outcome

The finished experience helped researchers standardize metadata more efficiently, supporting faster data driven discovery and easier collaboration across institutions.