Four Essential Primitives Emerge as Healthcare AI's Governance Foundation

The text proposes four technical primitives—content-addressable Health Assets, programmable consent, hash-chained provenance, and quality-weighted contribution—as fundamental building blocks for healthcare data governance. These primitives address a critical gap: healthcare systems lack a unified governance protocol layer to manage fragmented data across EHRs, applications, and research databases. This framework matters because meaningful healthcare AI governance requires moving beyond vague commitments to specific, algorithmic definitions of consent, audit, and data integrity.