member medicaid eligible
mbr_mcaid_eligDefinition
ISO-11179 Definition
An indicator or coded value identifying a health plan member as eligible for Medicaid benefits based on income, disability, age, or other qualifying criteria. Medicaid eligibility is determined by state agencies based on federal minimum standards and state-specific expansion decisions under the Affordable Care Act. Members who qualify for both Medicare and Medicaid are dual eligible.
Medicaid eligibility affects premium assistance, cost-sharing subsidies, and eligibility for Medicaid-specific benefit programs. Healthcare data teams use mbr_mcaid_elig in enrollment data pipelines that receive eligibility files from state Medicaid agencies, in coordination of benefits processing to correctly sequence Medicare and Medicaid as primary and secondary payers, and in care management targeting for high-need populations.
Standard Abbreviation
mbr_mcaid_elig
Category
Production DDL — DIM_MEMBER
CREATE OR REPLACE TABLE DIM_MEMBER (
mbr_key INTEGER NOT NULL -- surrogate key,
mbr_id VARCHAR(50) NOT NULL -- member identifier,
mbr_first_nm VARCHAR(100) -- first name,
mbr_last_nm VARCHAR(100) -- last name,
mbr_birth_dt DATE -- date of birth,
mbr_gndr_cd CHAR(1) -- gender code M/F/U,
mbr_age SMALLINT -- age in years,
mbr_state_cd CHAR(2) -- state code,
mbr_zip_cd VARCHAR(10) -- zip code,
mbr_elig_ind BOOLEAN -- eligibility indicator,
mbr_enrl_dt DATE -- enrollment date,
mbr_term_dt DATE -- termination date,
mbr_plan_cd VARCHAR(20) -- plan code,
mbr_dual_elig_cd VARCHAR(10) -- dual eligibility code,
load_dt TIMESTAMP_NTZ NOT NULL -- load timestamp
);
Standard Snowflake DDL for the canonical member table. Convert to BigQuery or Databricks →
Why This Term Matters
Member and enrollment data governs who receives care and who pays for it — making it foundational to every downstream healthcare analytics workflow. Data engineers who understand member terminology build eligibility pipelines that prevent coverage gaps, correctly identify dual-eligible members, and support accurate risk adjustment submissions to CMS. Enrollment errors directly affect capitation payments and can trigger CMS corrective action plans.
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