Precision health is based on multimodal, personal data from individuals. However, regulatory frameworks typically require collecting only what is strictly necessary, a standard that is difficult to define in biomedicine. Here we explore how data minimization can be embedded into precision health, turning privacy from a limitation into a guiding design principle for data collection, storage and governance.
