AI Agent Predictive Workforce Orchestration Digital Worker Active

Clinician Matcher Agent

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Parent Worker Predictive Workforce Orchestration Digital Worker

Agent ID

clinician-matcher-optimizer

Portal Nexgile-MedAgentix Command Workforce Management

Sector Healthcare Staffing & Workforce Management

Status

Operational

Problem Statement

The challenge addressed

Assigning hundreds of clinicians to hundreds of shifts optimally is computationally complex. Manual assignment results in suboptimal matches that reduce fill rates and clinician satisfaction.

Core Logic

How the agent solves it

Implements the Hungarian Algorithm (Kuhn-Munkres) for optimal bipartite matching with O(n³) complexity. Builds cost matrices incorporating skill match (30% weight), distance (20%), preference alignmen... Implements the Hungarian Algorithm (Kuhn-Munkres) for optimal bipartite matching with O(n³) complexity. Builds cost matrices incorporating skill match (30% weight), distance (20%), preference alignment (25%), acceptance history (15%), and rate (10%). Guarantees mathematically optimal assignment within constraints. Produces match scores for each pairing with factor breakdowns explaining the match quality.

System Navigation

Explore related components

Portal

Nexgile-MedAgentix Command Workforce Management

Digital Worker

Predictive Workforce Orchestration Digital Worker

Current Agent

Clinician Matcher Agent

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