provider cost efficiency
prvdr_cst_eff_scrDefinition
ISO-11179 Definition
A risk-adjusted measure of a healthcare provider resource utilization and total cost of care relative to peer providers treating similar patient populations, used in value-based payment programs and network tiering decisions to identify high and low value providers. Cost efficiency scores account for differences in patient complexity using risk adjustment models to ensure fair comparisons across providers treating different patient mix compositions. Providers with lower risk-adjusted costs while maintaining quality standards are identified as high-efficiency providers eligible for preferred network tier placement and efficiency bonuses.
Healthcare data teams build cost efficiency measurement pipelines that calculate provider-attributed total cost of care from claims, apply episode grouper or prospective risk adjustment methodologies, compare provider costs against peer benchmarks, and produce efficiency scores used in value-based contract settlement, network tiering, and provider engagement analytics.
Standard Abbreviation
prvdr_cst_eff_scr
Category
Production DDL — DIM_PROVIDER
CREATE OR REPLACE TABLE DIM_PROVIDER (
prvdr_key INTEGER NOT NULL -- surrogate key,
prvdr_npi VARCHAR(10) -- NPI number,
prvdr_tin VARCHAR(10) -- tax ID number,
prvdr_first_nm VARCHAR(100) -- first name,
prvdr_last_nm VARCHAR(100) -- last name,
prvdr_org_nm VARCHAR(255) -- organization name,
prvdr_typ_cd VARCHAR(20) -- provider type code,
prvdr_spclty_cd VARCHAR(10) -- specialty code,
prvdr_tax VARCHAR(10) -- taxonomy code,
prvdr_state_cd CHAR(2) -- state code,
prvdr_zip_cd VARCHAR(10) -- zip code,
prvdr_ntwk_sts VARCHAR(10) -- network status,
prvdr_accpt_pt_ind CHAR(1) -- accepting patients,
prvdr_excl_ind CHAR(1) -- exclusion indicator,
load_dt TIMESTAMP_NTZ NOT NULL -- load timestamp
);
Standard Snowflake DDL for the canonical provider table. Convert to BigQuery or Databricks →
Why This Term Matters
Provider data management is one of the most operationally complex data domains in healthcare because providers move, merge, and update their credentials continuously. A data engineer who understands provider terminology can build NPI validation, credentialing, and network adequacy pipelines that keep provider directories accurate and prevent claim rejections. Stale or incorrect provider data is a leading cause of prior authorization delays and CMS compliance findings.
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