shared savings
shrd_svgs_amtDefinition
ISO-11179 Definition
The portion of healthcare cost savings generated below a defined expenditure benchmark that is distributed to healthcare providers participating in accountable care organization or value-based payment arrangements as a reward for delivering cost-effective care while meeting quality performance thresholds. Shared savings programs such as the Medicare Shared Savings Program and commercial ACO contracts calculate total attributed member expenditures against a risk-adjusted benchmark and distribute a percentage of savings below the benchmark to the ACO participants. Shared savings distributions may be structured as one-sided risk models where providers share only in savings or two-sided risk models where providers also bear downside risk for expenditures above the benchmark.
Healthcare data teams build shared savings analytics that track total cost of care for attributed populations, project savings relative to benchmark throughout the performance year, measure quality performance against minimum thresholds required for savings distribution, and calculate projected shrd_svgs_amt distributions by provider and service category.
Standard Abbreviation
shrd_svgs_amt
Category
Production DDL — FACT_CLAIM_TRANSACTION
CREATE OR REPLACE TABLE FACT_CLAIM_TRANSACTION (
clm_txn_key INTEGER NOT NULL -- surrogate key,
clm_id VARCHAR(50) NOT NULL -- claim identifier,
mbr_key INTEGER NOT NULL -- FK to DIM_MEMBER,
prvdr_key INTEGER NOT NULL -- FK to DIM_PROVIDER,
clm_typ_cd VARCHAR(10) -- claim type code,
tot_chrg_amt DECIMAL(18,2) -- total charged amount,
tot_alwd_amt DECIMAL(18,2) -- total allowed amount,
tot_pd_amt DECIMAL(18,2) -- total paid amount,
cntrct_adj_amt DECIMAL(18,2) -- contractual adjustment,
denial_ind CHAR(1) -- denial indicator,
denial_rsn_cd VARCHAR(10) -- denial reason code,
prior_auth_nbr VARCHAR(30) -- authorization number,
clm_lag_days SMALLINT -- claim lag days,
days_ar SMALLINT -- days in AR,
load_dt TIMESTAMP_NTZ NOT NULL -- load timestamp
);
Standard Snowflake DDL for the canonical finance table. Convert to BigQuery or Databricks →
Why This Term Matters
Healthcare data terminology is foundational for any data engineer working in this industry. Precise understanding of standard terms enables accurate schema design, reduces downstream data quality issues, and ensures pipelines meet the regulatory and interoperability requirements imposed by HIPAA, HL7 FHIR, and CMS reporting frameworks. Without this foundation, even technically well-built pipelines produce data that fails validation when it reaches payers or regulators.
Related Content
Looking for more healthcare terms?
Browse our complete library of 100,000+ standardized healthcare data terms
Browse All Terms