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medical claims payable

med_clm_payable
finance·Updated Jul 21, 2026

Definition

ISO-11179 Definition

The balance sheet liability representing the estimated total amount owed to providers for healthcare services rendered to members but not yet paid, including claims in adjudication, approved but not yet disbursed payments, and IBNR reserves for incurred but unreported claims. Medical claims payable is one of the largest and most scrutinized liabilities on a health plan balance sheet, requiring actuarial sign-off and subject to regulatory reserve adequacy requirements that specify minimum reserve levels as a percentage of annual claims expense.

Standard Abbreviation

med_clm_payable

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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