bundled payment
bndl_pmt_amtDefinition
ISO-11179 Definition
A healthcare reimbursement model in which a single payment covers all services delivered by multiple providers across an entire episode of care — from initial service through post-acute recovery — replacing separate fee-for-service payments to each individual provider. Bundled payments create financial incentives for providers to coordinate care efficiently, eliminate unnecessary services, and reduce costly complications and readmissions because all providers share a fixed payment regardless of total services rendered. CMS Bundled Payments for Care Improvement initiatives have tested bundled payment models for joint replacement, cardiac care, and oncology episodes.
Providers who deliver care within the bundle price keep the difference as shared savings while those who exceed the target price owe the difference back to CMS. Healthcare data teams build bundled payment analytics that define episode boundaries, aggregate all service payments within each episode, compare episode costs against the bundle price, identify cost drivers within high-cost episodes, and calculate net financial performance by episode type and surgeon or facility.
Standard Abbreviation
bndl_pmt_amt
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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