provider performance
prvdr_perf_scrDefinition
ISO-11179 Definition
A broad measure or scored assessment of a healthcare provider overall effectiveness across clinical quality, patient experience, cost efficiency, and care coordination dimensions, used in value-based payment programs and network management decisions. Provider performance scores synthesize multiple data sources including HEDIS measure rates, patient satisfaction survey results, total cost of care analytics, readmission rates, and appropriate use metrics into a composite evaluation framework. High-performing providers may qualify for quality bonuses, preferred network tiers, and enhanced patient attribution in shared savings programs.
Underperforming providers may face performance improvement plans, network tier downgrades, or contract review. Healthcare data teams build performance measurement systems that calculate domain-specific scores, apply risk adjustment to account for patient mix differences, produce provider-level performance reports, and feed scores into value-based payment calculation engines.
Standard Abbreviation
prvdr_perf_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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