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claim scrubbing

clm_scrub
finance·Updated Jun 13, 2026

Definition

ISO-11179 Definition

The automated process of validating healthcare claims against a comprehensive set of editing rules before submission to payers, identifying and correcting errors that would cause claim rejection or denial. Claim scrubbing software applies thousands of edits including code validity checks against current CPT, ICD-10, and HCPCS code sets, National Correct Coding Initiative bundling edits, medical necessity edits based on LCD and NCD policies, payer-specific rules for each insurance carrier, and demographic validation for member and provider information. Effective claim scrubbing identifies claim errors internally before the payer sees them, allowing billing staff to correct issues without the delay of a payer rejection cycle.

Healthcare data teams implement claim scrubbing analytics that track edit failure rates by edit type, billing staff, and service type to identify training needs, measure scrubbing effectiveness over time, and calculate the revenue impact of errors caught before submission versus denied after submission.

Standard Abbreviation

clm_scrub

Category

finance

Production DDL — FACT_CLAIM_TRANSACTION

FACT_CLAIM_TRANSACTION.sql
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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