outlier measure
outlr_meas_indDefinition
ISO-11179 Definition
A boolean indicator identifying a CMS Star Ratings measure on which a health plan performance is significantly below the national average, flagged by CMS as a potential signal of poor quality that may trigger additional regulatory scrutiny, potential sanctions, or low-enrollment warnings. CMS flags outlier measures when a plan performs at or below the first percentile of national performance for two or more consecutive years, indicating persistent quality failures that warrant regulatory intervention. Outlier measure status can trigger CMS intermediate sanctions that restrict plan marketing and enrollment activities while the plan implements corrective action.
Healthcare data teams monitor outlr_meas_ind for all rated measures, generate early warning alerts when performance approaches outlier thresholds, track corrective action plan implementation for measures at risk of outlier designation, and report outlier risk status to health plan leadership and board members as a regulatory compliance indicator requiring immediate management attention.
Standard Abbreviation
outlr_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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