Swarmie Health Architecture
Reference architecture for a governed healthcare AI platform: identity, consent, data controls, policy enforcement, human review, and full auditability.
Clinical decisions remain under appropriately qualified human control.
| Layer | What it does | Why it matters |
|---|---|---|
| Identity and consent | Role-aware access with purpose-based permissions and consent checks | Restricts access to minimum necessary context |
| Inference safety | Evidence retrieval, policy validation, and risk classification before action | Reduces unsafe or non-compliant outputs |
| Execution control | Human approval gates for high-risk actions plus immutable audit logs | Preserves accountability for consequential decisions |
Initial blueprint, policy map, and deployment plan for one healthcare workflow.
Implement governance controls with workflow instrumentation and audit surfaces.
Multi-workflow rollout with integration, controls, and operations playbooks.
Regional rollout, advanced governance, and long-term operating support.
Permission model
Agent, data, and tool permissions are explicit and reviewable.
Safety engine
Input checks, citation context, policy gates, and escalation logic before action.
Observability
Traceable workflows, incident review, and executive-level risk visibility.