inpatient admission
inp_admnDefinition
ISO-11179 Definition
A formal hospital admission where a physician makes an explicit admission order and certifies that the patient requires inpatient hospital care, triggering Medicare Part A coverage and the inpatient prospective payment system DRG reimbursement methodology. The Two-Midnight Rule established by CMS in 2013 provides the benchmark for appropriate inpatient admission status — patients expected to require hospital care spanning at least two midnights generally meet the criteria for inpatient admission while shorter expected stays should typically be managed as outpatient observation. Appropriate admission status determination is critical for Medicare compliance and patient financial protection since inpatient and observation status carry different coverage rules, cost-sharing obligations, and post-acute care eligibility implications.
Healthcare data teams analyze inp_admn patterns by attending physician, diagnosis, and service line to identify admission status variation requiring utilization management review, measure Two-Midnight Rule compliance rates, and quantify the revenue impact of admission status optimization initiatives.
Standard Abbreviation
inp_admn
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.
Related Content
Looking for more healthcare terms?
Browse our complete library of 100,000+ standardized healthcare data terms
Browse All Terms