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CMS-HCC V24 & V28 Engine

Predict Risk.
Secure Revenue.

Enterprise Risk Adjustment Factor (RAF) calculation engine. Analyze demographic factors, chronic condition hierarchies, disease interactions, and MCE edits via UI, Batch, or API.

Precision Scoring.
Zero Guesswork.

Accurate risk adjustment is critical for Medicare Advantage and Value-Based Care. Our engine handles demographic weights, Medicaid status splits, disease interactions, and hierarchical condition truncation automatically.

Demographics

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

Disease Interactions

Identifies multi-condition interactions (e.g., Diabetes + Heart Failure) automatically.

Open Interactive Calculator →
Male, 76 (Community Non-Dual)
CMS-HCC V28
Demographic Base 0.325
HCC 37 Diabetes w/ Severe Complications
+ 0.302
HCC 226 Congestive Heart Failure
+ 0.323
Disease Interaction Detected
+ 0.121
Total Patient RAF
Normalized Factor: 1.000
1.071

Explore the Complete
CMS-HCC Code Directory

Browse all Hierarchical Condition Categories across CMS V28 and V24 models. Review clinical descriptions, institutional vs. community coefficient factors, and every associated ICD-10-CM diagnosis code.

Browse All HCC Categories →

Explore By Model Version:

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 patient populations in minutes, not days. Our distributed batch processor handles millions of encounters securely via CSV, Excel (.xlsx), or JSON files.

  • CSV, Excel & JSON Ingestion
    Upload encounter datasets with automatic county capitation and regional rate calculations.
  • Rich Audit Export Reports
    Download detailed breakdowns of every demographic factor, disease interaction, and trumped condition.
Launch Batch Auditor →

Built for Developers

Integrate RAF scoring directly into your EHR, data warehouse, 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": ["HCC37", "HCC226", "HCC280"],
"flags": ["Interaction_Detected"]
}
View API & Subscription Pricing

Stop leaving risk adjustment revenue on the table.

Start forecasting with precision today. Calculate individual RAF scores, browse mapped diagnoses, or audit batch files immediately.

Launch V28 Calculator Browse HCC Categories Upload Batch File