hybrid measure
hybrd_meas_indDefinition
ISO-11179 Definition
A boolean indicator identifying a HEDIS measure that requires both administrative claims data and medical record review to calculate, combining the efficiency of claims-based measure calculation with the clinical specificity of chart review to capture clinical events not documented in structured administrative data. Hybrid measures allow health plans to supplement administrative data with medical record evidence for a random sample of eligible members, improving measure rates by capturing clinical services documented in medical records but not reflected in claims. Hybrid measure calculation involves random sampling of eligible members from the administrative denominator, medical record retrieval and abstraction by certified coders, and rate recalculation using both administrative and medical record evidence.
Healthcare data teams coordinate hybrid measure projects by identifying the administrative sample, managing medical record requests and abstractions, validating abstracted data quality, and integrating medical record findings with administrative data to produce final hybrid measure rates submitted to NCQA.
Standard Abbreviation
hybrd_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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