Balancing data collection and privacy protection in precision health

Abstract

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.