prior authorization
prior_authDefinition
ISO-11179 Definition
The process by which a healthcare provider obtains advance approval from a health insurance payer before delivering specific medical services, procedures, or prescription drugs to ensure the payer will cover the cost of the service. Prior authorization is required by most health plans for elective surgeries, specialty medications, advanced imaging studies, inpatient admissions, and certain outpatient procedures. The prior authorization process involves submitting clinical documentation supporting medical necessity to the payer for review by clinical staff who approve, deny, or request additional information.
CMS and state regulators have increased scrutiny of prior authorization burdens and timelines, with new interoperability rules requiring payers to implement electronic prior authorization APIs. Healthcare data teams build prior authorization tracking systems that monitor authorization status, expiration dates, authorized versus billed services, and authorization denial rates by payer and service type to support clinical workflow efficiency and prevent authorization-related claim denials.
Standard Abbreviation
prior_auth
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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