EDENA Risk Classifier — Automated Tier Assignment for Clinical Tasks

A proposed skill for the Florence-X agent workforce that automatically classifies incoming clinical task requests into EDENA risk tiers (Green/Yellow/Red) based on a structured decision tree. The classifier evaluates: reversibility of the action, patient population vulnerability, degree of human oversight available, regulatory classification, and historical exception rate. Green tasks proceed autonomously. Yellow tasks enter an approval queue. Red tasks are blocked and escalated. This skill would reduce the manual classification burden on nurse stewards while maintaining the human-in-the-loop principle for all high-risk actions.