appeal deadline
appeal_ddln_dtDefinition
ISO-11179 Definition
The contractually or regulatorily mandated date by which a healthcare provider must submit a formal appeal challenging a payer claim denial or underpayment in order to preserve the right to contest the determination. Appeal deadlines vary significantly by payer type and appeal level — Medicare requires first-level redetermination requests within 120 days of the initial determination, commercial payers typically allow 90 to 180 days from the denial date, and Medicaid timelines vary by state. Missing an appeal deadline permanently forecloses the right to contest the denial regardless of the clinical or administrative merits of the appeal.
Healthcare data teams build appeal deadline tracking systems that calculate appeal_ddln_dt from denial dates by payer and appeal type, generate automated alerts as deadlines approach, and produce daily appeal work queues prioritized by deadline urgency to ensure no recovery opportunity is lost due to missed filing windows.
Standard Abbreviation
appeal_ddln_dt
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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