accountable care
acct_careDefinition
ISO-11179 Definition
A healthcare delivery and payment model in which a group of providers takes coordinated responsibility for the full continuum of care for a defined patient population, with shared financial accountability for quality outcomes and total cost of care. Accountable care models require providers to work together across settings — primary care, specialty care, hospital, and post-acute — to eliminate redundant services, prevent avoidable hospitalizations, close care gaps, and manage chronic conditions proactively. The Accountable Care Organization is the primary organizational structure through which providers participate in accountable care arrangements with CMS and commercial payers.
Accountable care requires sophisticated data infrastructure including patient attribution algorithms, risk stratification tools, care gap analytics, and total cost of care measurement. Healthcare data teams build accountable care analytics platforms that aggregate claims and clinical data across the care continuum, calculate attributed population performance metrics, and produce provider engagement dashboards that drive care coordination interventions.
Standard Abbreviation
acct_care
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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