provider quality score
prvdr_qlty_scrDefinition
ISO-11179 Definition
A composite or domain-specific numeric score measuring a healthcare provider performance on clinical quality metrics derived from claims data, clinical records, patient experience surveys, and registry data. Provider quality scores are calculated from HEDIS measures, CMS quality reporting programs, commercial payer pay-for-performance metrics, and health system internal quality dashboards. Scores reflect performance on preventive care delivery, chronic disease management, appropriate care utilization, patient safety, and patient experience dimensions.
Quality scores drive value-based payment calculations, network tiering decisions, provider directory star ratings, and care management program design. Healthcare data teams build provider quality measurement pipelines that aggregate claim-level quality events into provider-level performance rates, apply appropriate denominators for risk stratification, calculate composite scores, and produce provider-level quality reports used in value-based contract performance evaluation.
Standard Abbreviation
prvdr_qlty_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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