electronic funds transfer
eftDefinition
ISO-11179 Definition
The electronic transmission of healthcare claim payment funds directly from a health insurance payer bank account to a provider bank account, replacing paper check payments and enabling faster, more accurate cash management. The HIPAA Administrative Simplification provisions require payers to offer electronic funds transfer to providers upon request using the CCD+ format. Electronic funds transfer is paired with the HIPAA 835 electronic remittance advice transaction to provide both the payment and the detailed explanation of how each claim was processed in a standardized electronic format.
Healthcare organizations that adopt EFT and ERA eliminate check handling costs, reduce payment posting errors, and accelerate cash availability. Healthcare data teams track EFT adoption rates by payer, measure the cost reduction from eliminating paper check processing, and reconcile EFT deposits against 835 remittance data to ensure all expected payments are received and accurately posted.
Standard Abbreviation
eft
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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