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Clinician Hunter (Matching Engine Agent)

Executes vector search across the clinician database using semantic embeddings, then applies multi-criteria scoring with configurable weights for credentials (25%), competency (20%), performance (15%), experience (15%), proximity (10%), facility familiarity (10%), and availability (5%). Ranks candidates by weighted match score and generates detailed match factor breakdowns for each candidate.

Agent ID
clinician-hunter
Sector Healthcare Staffing & Workforce Management
Status
Operational

Problem Statement

The challenge addressed

Finding the optimal clinician from thousands of candidates requires evaluating multiple weighted factors including credentials, certifications, proximity, facility familiarity, performance ratings, an...

Core Logic

How the agent solves it

Executes vector search across the clinician database using semantic embeddings, then applies multi-criteria scoring with configurable weights for credentials (25%), competency (20%), performance (15%)...

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