Governance & Autonomy
Governance & Autonomy
Objective: For CMIO and Clinical Leadership defining safety boundaries.
TL;DR: Control Plane
- Philosophy: "Bounded Autonomy" — AI acts only within pre-approved zones.
- Mechanism: Deterministic "Safety Guardrails" check every output.
- Oversight: Clinicians have absolute override authority.
1. Phased Autonomy Model
Phase 1: "Copilot" (Human Verified)
- AI Action: Drafts messages, suggests care plan updates, flags risks.
- Human Role: Must explicitly "Approve" or "Edit" every clinical action.
- Autonomous Scope: Strictly limited to administrative tasks (scheduling, education).
Phase 2: "Bounded Agent" (Exception Managed)
- Triggered only after safety validation.
- AI Action: Executes low-risk protocols (e.g., titration per standing order) autonomously.
- Human Role: notified of actions; reviews exceptions/escalations.
- Safety Net: Any "Low Confidence" or "High Risk" signal triggers immediate handover.
2. Escalation Pathways
The system is programmed to "fail safely" (The "IDK Protocol"):
- Ambiguity: If patient input is unclear -> Ask clarifying question.
- Uncertainty: If evidence is insufficient -> Flag for clinician review.
- Danger: If "Red Flag" symptom detected -> Trigger TA3-defined escalation pathway (e.g., nurse notification).
3. Change Control & Versioning
- Model Updates: No "silent updates." All model changes go through a staging review.
- Protocol Changes: Clinical protocols are version-controlled code. Changes require CMIO sign-off.
Last Updated: 2026-01-20
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