cxr-k-sim1 0.1.0

CXR-K-Sim1 Model - Simulation model with Monte Carlo forecasting

CXR-K-Sim1 Model

Simulation-focused CXR model with Monte Carlo financial forecasting and risk analysis.

Installation

pip install cxr-k-sim1

Quick Start

from cxr_k_sim1 import analyze

claim = {
    "claimId": "CLM-001",
    "patientId": "PAT-001",
    "providerId": "PROV-001",
    "serviceDate": "2024-01-15",
    "procedureCode": "99213",
    "billedAmount": 1000.0,
    "metadata": {"reviewThreshold": 0.85}
}

result = analyze(claim, tenant_id="tenant-123")
print(result["financialImpact"]["monteCarlo"])

Features

• 7-plane fusion
• Monte Carlo simulation (mean, percentiles, confidence interval)
• Denial scenario simulation
• Risk distribution analysis

Usage

from cxr_k_sim1 import get_model

model = get_model()
result = model.analyze(claim, tenant_id)