patient registration
pt_regstrDefinition
ISO-11179 Definition
The administrative process of collecting and verifying demographic, insurance, and financial information from patients at the point of entry into the healthcare system, establishing the foundation for accurate claims submission and appropriate billing. Patient registration encompasses demographic data collection including name, date of birth, address, and Social Security number, insurance information capture including payer, policy number, group number, and subscriber details, consent and authorization form completion, and financial responsibility discussion. Accurate patient registration is the single most important factor in revenue cycle performance — registration errors including incorrect insurance information, misspelled names, and wrong policy numbers cause downstream claim rejections that delay or prevent payment.
Healthcare data teams measure registration accuracy through downstream claim rejection rates attributable to registration errors, track registration error rates by type and registration staff member, and quantify the revenue impact of registration-related denials to justify investment in registration technology and training programs.
Standard Abbreviation
pt_regstr
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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