advance beneficiary notice
abn_indDefinition
ISO-11179 Definition
A boolean indicator identifying that an Advance Beneficiary Notice of Noncoverage was provided to a Medicare beneficiary before delivering a service that the provider believes Medicare may deny as not medically necessary or not covered, allowing the patient to make an informed decision about whether to receive the service and accept financial responsibility for payment if Medicare denies the claim. ABNs are required for services billed under Medicare Part B when the provider expects Medicare to deny coverage. Providing a valid ABN shifts financial liability from the provider to the patient for the denied service.
ABNs must be provided before service delivery in a language the patient understands and must identify the specific service and estimated cost. Healthcare data teams track abn_ind in revenue cycle workflows to ensure ABN-required services have valid notices on file before claim submission, measure ABN-related claim denial rates, and calculate patient financial liability from ABN-covered services to support accurate patient billing.
Standard Abbreviation
abn_ind
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.
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