hedis rate
hedis_rt_pctDefinition
ISO-11179 Definition
The calculated performance percentage for a specific HEDIS measure representing the proportion of eligible members who received the recommended clinical service or achieved the specified health outcome during the measurement year. HEDIS rates are calculated by dividing the number of members who met the numerator criteria by the number of eligible members in the denominator after applying all specified exclusion criteria. Higher HEDIS rates generally indicate better quality performance, though some HEDIS measures are inverse rates where lower rates indicate better performance such as avoidance of antibiotic overuse or emergency department utilization.
HEDIS rates feed directly into CMS Star Ratings calculations, NCQA health plan accreditation scores, and value based payment performance assessments. Healthcare data teams calculate hedis_rt_pct for each applicable measure using NCQA technical specifications, track rate trends over multiple measurement years, benchmark against national and regional plan distributions, and project year-end rates from partial-year data to guide in-year quality improvement prioritization.
Standard Abbreviation
hedis_rt_pct
Category
Production DDL — FACT_QUALITY_MEASURE
CREATE OR REPLACE TABLE FACT_QUALITY_MEASURE (
qlty_key INTEGER NOT NULL -- surrogate key,
mbr_key INTEGER NOT NULL -- FK to DIM_MEMBER,
plan_key INTEGER NOT NULL -- FK to DIM_PLAN,
meas_yr SMALLINT -- measurement year,
hedis_meas_cd VARCHAR(20) -- HEDIS measure code,
denom_ind CHAR(1) -- denominator eligible,
numer_ind CHAR(1) -- numerator met,
excl_ind CHAR(1) -- exclusion indicator,
gap_open_ind CHAR(1) -- care gap open,
star_rtg_nbr DECIMAL(3,1) -- star rating,
qlty_scr DECIMAL(5,2) -- quality score,
perf_thrsh_pct DECIMAL(5,2) -- performance threshold,
raf_scr DECIMAL(10,3) -- risk adjustment factor,
outreach_cnt SMALLINT -- outreach attempts,
load_dt TIMESTAMP_NTZ NOT NULL -- load timestamp
);
Standard Snowflake DDL for the canonical quality table. Convert to BigQuery or Databricks →
Why This Term Matters
Quality measure data determines how payers and providers are rated and reimbursed under CMS Stars, HEDIS, and value-based care contracts. Data engineers who understand quality terminology build measure calculation pipelines that correctly attribute patients, apply denominator exclusions, and flag documentation gaps before submission deadlines. Incorrect quality data directly affects star ratings, pay-for-performance bonuses, and Medicare Advantage plan bids.
Related Content
Related Definitions
Looking for more healthcare terms?
Browse our complete library of 100,000+ standardized healthcare data terms
Browse All Terms