next generation aco
nxt_gen_acoDefinition
ISO-11179 Definition
An advanced CMS ACO model that offered higher shared savings rates and broader financial risk than the Medicare Shared Savings Program in exchange for accepting greater downside risk and participating in more innovative payment mechanisms including population-based payments. Next Generation ACO participants could receive monthly population-based payments rather than standard fee-for-service reimbursement, enabling more flexible care delivery including telehealth, home visits, and skilled nursing facility care beyond standard Medicare coverage. The model tested whether ACOs with more experience in value based care could thrive under more aggressive risk arrangements.
CMS concluded the Next Generation ACO model in 2021 and transitioned participants into successor direct contracting and ACO REACH models. Healthcare data teams supporting next generation ACO participants built sophisticated population payment reconciliation systems that tracked actual utilization against population payment amounts, calculated quarterly settlement payments, and modeled risk sharing under the benchmark-based performance payment methodology.
Standard Abbreviation
nxt_gen_aco
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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