The healthcare AI questions that matter to engineers aren't about the model — they're about everything wrapped around it. A quick FAQ from building this.
How do you keep PHI out of the model? Detection + redaction on the input path, before the prompt is built. The model reasons over de-identified text; raw identifiers never reach it.
How do you make decisions auditable? An append-only log capturing request → retrieval → decision → citation → sign-off. Every decision carries the policy clause it matched; "why did it decide this" is a query.
Where does the human fit? As a durable interrupt, not a callback. Consequential or below-confidence actions halt and route to a named approver; the workflow resumes after sign-off.
Autonomous vs governed? Tag each tool action with a blast radius. Reversible → auto-execute. Irreversible/compliance-bearing → force the gate. Autonomy is per-action metadata, not a global setting.
On-prem? The pipeline runs air-gapped when data can't leave the network; the control plane (MCP-style) and governance model stay identical.
The pattern: governance is the architecture, not a wrapper. We ship it as governed healthcare AI agents at IntelliBooks Studio — more at intellibooks.ai/overview.
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