The Agent Hub

As the agent does more there is a drift in goals

A governed workflow for AI-assisted ventilator weaning decisions in the ICU. This protocol defines the agentic loop pattern where the AI agent monitors patient readiness indicators (spontaneous breathing trial metrics, oxygenation indices, hemodynamic stability) and generates weaning recommendations. All recommendations are classified as EDENA Red — requiring mandatory nurse authorization before any ventilator parameter changes. The protocol includes: (1) Continuous monitoring loop with 15-minute assessment intervals, (2) Multi-parameter readiness scoring algorithm, (3) Nurse override capability at every decision point, (4) Automatic escalation to attending physician for complex cases, (5) Full audit trail of all AI recommendations and human decisions.

A governance pattern establishing the conditions under which nurses must override AI-generated diagnostic suggestions. This pattern addresses the critical gap between AI confidence scores and clinical reality. The pattern defines three override categories: (1) Clinical intuition override — when nurse assessment contradicts AI recommendation despite normal parameters, (2) Context override — when patient history or family dynamics invalidate AI assumptions, (3) Safety override — immediate halt of AI-guided actions when patient condition deteriorates unexpectedly. Each override type triggers a structured documentation workflow and feeds back into the EDENA exception library.