raf score
raf_scrDefinition
ISO-11179 Definition
Risk Adjustment Factor score — a numeric value calculated by CMS representing a Medicare Advantage member's predicted healthcare costs relative to the average Medicare beneficiary. A RAF score of 1.0 represents average predicted cost. Scores above 1.0 indicate higher than average predicted costs.
CMS multiplies the health plan base payment rate by the member RAF score to determine monthly capitation payments. RAF scores are calculated from two components: demographic factors including age, gender, and enrollment status, plus diagnosis components from HCC categories mapped from submitted ICD-10 codes. Higher RAF scores generate higher monthly payments to Medicare Advantage health plans to account for higher expected member utilization.
The CMS-HCC V28 model is the current standard for payment year 2026. Healthcare data engineers store RAF scores as DECIMAL(10,3) values in member risk score tables, used in risk adjustment pipelines processing CMS RAPS and EDPS submissions.
Standard Abbreviation
raf_scr
Category
Production DDL — FACT_CLINICAL_EVENT
CREATE OR REPLACE TABLE FACT_CLINICAL_EVENT (
clin_evt_key INTEGER NOT NULL -- surrogate key,
mbr_key INTEGER NOT NULL -- FK to DIM_MEMBER,
prvdr_key INTEGER NOT NULL -- FK to DIM_PROVIDER,
diag_cd VARCHAR(10) -- ICD-10 diagnosis code,
hcc_cd VARCHAR(10) -- HCC category code,
proc_cd VARCHAR(10) -- procedure code,
svc_dt DATE -- service date,
pos_cd VARCHAR(2) -- place of service,
raf_scr DECIMAL(10,3) -- RAF score,
admit_dt DATE -- admission date,
dsch_dt DATE -- discharge date,
drg_cd VARCHAR(10) -- DRG code,
los_days SMALLINT -- length of stay,
readmt_ind CHAR(1) -- readmission indicator,
load_dt TIMESTAMP_NTZ NOT NULL -- load timestamp
);
Standard Snowflake DDL for the canonical clinical table. Convert to BigQuery or Databricks →
Why This Term Matters
Clinical terms are the building blocks of risk adjustment, quality measurement, and value-based care analytics. A data engineer who understands this terminology can design schemas that correctly capture patient conditions, procedures, and encounters — enabling accurate HCC scoring, HEDIS measure attribution, and CMS reporting. Misclassifying clinical fields in a data warehouse cascades into incorrect RAF scores and failed regulatory submissions.
Related Content
Related Definitions
From the Blog
Risk AdjustmentHCC Risk Adjustment Data Model: Building Accurate Risk Score Pipelines
12 min read — Read articleLooking for more healthcare terms?
Browse our complete library of 100,000+ standardized healthcare data terms
Browse All Terms