Patient-governed agentic health data exchange
Abstract
Health data exchange remains constrained by fragmentation, consent burden, limited auditability, and weak incentives. We propose STARFISH, a patient-governed agentic framework where personal health agents manage granular permissions, while institutional research agents request data or execute privacy-preserving analyses. Cryptographically verifiable mandates, automated compliance, and optional benefit sharing align incentives while preserving autonomy. Agentic workflows could accelerate trials and safety surveillance, enabling trustworthy, scalable, and participatory digital health research ecosystems.
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