Health Data Governance Wasn't Built for AI
De-identification and the limits of purpose-based health data governance. General-purpose AI collides with how HIPAA governs patient data — and de-identification is the only mechanism that resolves it at scale.
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The argument, in three points
One argument, across roughly fifteen pages: the wall between healthcare AI and its data is regulatory, not technical — and only one mechanism removes it at scale.
- Why the AI you've approved keeps stalling — the governance queue, not the model, is the bottleneck.
- Why adding reviewers can't fix it — roughly four data requests a week against the ~100 a minute agents generate.
- Why de-identification is the only lawful way out — and why it has never scaled, until now.
And how Subsalt makes de-identification scale — so AI and research teams get the data they need in minutes instead of months.