AI Agent AI Multi-Agent DME Fraud Detection & Cost Optimization System

Decision Synthesis Agent

Model: healthneuron-decision-engine-v4 (FP16, 65536 context, 2048 embeddings). Implements Multi-Criteria Decision Analysis (MCDA), weighted scoring model aggregating all agent outputs, confidence aggregation with calibration against historical decision outcomes, and risk-adjusted decision trees. Generates final decisions (APPROVE/DENY/REVIEW/APPROVE_WITH_MODIFICATIONS), confidence scores calibrated against appeal rates, recommendation rationale, and complete audit trails.

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Part of AI Multi-Agent DME Fraud Detection & Cost Optimization System

Portal: Nexgile Healthneuron Nexus

Agent ID: decision-synthesis

Problem Statement

The challenge addressed

Nine specialized agents produce diverse findings that must be aggregated into coherent, actionable decisions with appropriate confidence levels and clear recommendations.

Core Logic

How the agent solves it

Model: healthneuron-decision-engine-v4 (FP16, 65536 context, 2048 embeddings). Implements Multi-Criteria Decision Analysis (MCDA), weighted scoring model aggregating all agent outputs, confidence aggr... Model: healthneuron-decision-engine-v4 (FP16, 65536 context, 2048 embeddings). Implements Multi-Criteria Decision Analysis (MCDA), weighted scoring model aggregating all agent outputs, confidence aggregation with calibration against historical decision outcomes, and risk-adjusted decision trees. Generates final decisions (APPROVE/DENY/REVIEW/APPROVE_WITH_MODIFICATIONS), confidence scores calibrated against appeal rates, recommendation rationale, and complete audit trails.

System Navigation

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Portal

Nexgile Healthneuron Nexus

Digital Worker

AI Multi-Agent DME Fraud Detection & Cost Optimization System

Current Agent

Decision Synthesis Agent

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