Risk Adjustment Engine

Predict Risk.
Secure Revenue.

A powerful RAF calculation engine for V24 and V28 models. Available as a high-throughput Batch Processor or Real-time API.

RAF Caclulator Batch Tools

Precision Scoring.
Zero Guesswork.

Accurate risk adjustment is critical for Value-Based Care. Our engine handles the complex logic of demographic factors, disease interactions, and hierarchy truncation automatically.

Demographics

Auto-calculates factors for Age, Gender, OREC, and Medicaid status.

Disease Interactions

Identifies complex interactions (e.g., Diabetes + CHF) that boost scores.

Male, 76 (Community)

CMS-HCC V28

Demographic Base 0.325

HCC 18 Diabetes w/ Complications

+ 0.302

HCC 85 Congestive Heart Failure

+ 0.323

Interaction (Diabetes + CHF)

+ 0.121

Total RAF Score

Est. PMPM: ~$1,250

1.071

Batch Job #4921 Processing

720,000 / 1,000,000 Records ETA: 45s

25k

Records/Sec

99.9%

Match Rate

Enterprise Scale.
Massive Throughput.

Run risk adjustment for entire populations in minutes, not days. Our distributed batch processor handles millions of records securely.

CSV & JSON Ingestion
Upload massive datasets directly via dashboard or secure FTP.
Rich Export Reports
Download detailed breakdowns of every gap, interaction, and score change.

View Batch Docs

Built for Developers

Integrate RAF scoring directly into your EHR or Analytics platform.

POST /v1/raf/calculate

"model": "CMS-HCC-V28",
"demographics": {
"age": 76, "sex": "M", "orec": "0"
},
"diagnoses": [
"E11.69", "I50.9", "J44.9"
]

// Response (25ms)
{
"raf_score": 1.071,
"hcc_list": ["HCC18", "HCC85", "HCC111"],
"flags": ["Interaction_Detected"]
}

Stop leaving revenue on the table.

Start forecasting with precision today.

Start Batch Job