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hcpcs category

hcpcs_cat
supply·Updated Jun 23, 2026

Definition

ISO-11179 Definition

Classification grouping assigned to a HCPCS code that organizes procedures, supplies, or equipment into defined service categories such as durable medical equipment, drugs, transportation, or outpatient services. Used in claims analytics, fee schedule administration, and payer reporting to segment utilization data by service type for population and cost management.

Standard Abbreviation

hcpcs_cat

Category

supply

Production DDL — FACT_SUPPLY_ORDER

FACT_SUPPLY_ORDER.sql
CREATE OR REPLACE TABLE FACT_SUPPLY_ORDER (
    sply_ord_key    INTEGER        NOT NULL  -- surrogate key,
    sply_ord_id     VARCHAR(50)    NOT NULL  -- supply order ID,
    mbr_key         INTEGER        NOT NULL  -- FK to DIM_MEMBER,
    prvdr_key       INTEGER        NOT NULL  -- FK to DIM_PROVIDER,
    item_cd         VARCHAR(20)              -- item code,
    item_nm         VARCHAR(255)             -- item name,
    hcpcs_cd        VARCHAR(10)              -- HCPCS code,
    qty_ord         DECIMAL(10,2)            -- quantity ordered,
    qty_dspnd       DECIMAL(10,2)            -- quantity dispensed,
    unit_cst_amt    DECIMAL(10,2)            -- unit cost amount,
    tot_cst_amt     DECIMAL(10,2)            -- total cost amount,
    ord_dt          DATE                     -- order date,
    dspnd_dt        DATE                     -- dispensed date,
    prior_auth_nbr  VARCHAR(30)              -- prior authorization number,
    load_dt         TIMESTAMP_NTZ  NOT NULL  -- load timestamp
);

Standard Snowflake DDL for the canonical supply 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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