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"):

  1. Ambiguity: If patient input is unclear -> Ask clarifying question.
  2. Uncertainty: If evidence is insufficient -> Flag for clinician review.
  3. 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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