administrative measure
admin_meas_indDefinition
ISO-11179 Definition
A boolean indicator identifying a HEDIS measure that can be calculated entirely from administrative claims and enrollment data without requiring medical record review, enabling efficient population-wide quality measurement from existing data assets. Administrative measures are the most cost-efficient quality measurement approach because they leverage claims data already collected for billing purposes without requiring additional data collection activities. However, administrative measures may understate true performance if clinical services are delivered but not captured in claims data — a limitation addressed by hybrid measures that supplement administrative data with medical record evidence.
Healthcare data teams implement administrative measure calculation pipelines that process enrollment and claims data against NCQA technical specifications, run measure logic across the full eligible population rather than a sample, produce measure rates rapidly after claim runout periods, and identify members not meeting numerator criteria who are candidates for outreach to close care gaps before the end of the measurement year.
Standard Abbreviation
admin_meas_ind
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.
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