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transitions of care measure

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quality·Updated Jul 21, 2026

Definition

ISO-11179 Definition

A set of HEDIS measures assessing the quality and completeness of care transitions between settings including notification of inpatient admission to the primary care provider, receipt of discharge information by the member and receiving provider, patient engagement after discharge, and medication reconciliation post-discharge. Transitions of care measures collectively assess health plan effectiveness in coordinating care across the hospital-to-home transition, with poor performance associated with higher readmission rates and post-discharge adverse events.

Standard Abbreviation

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Category

quality

Production DDL — FACT_QUALITY_MEASURE

FACT_QUALITY_MEASURE.sql
CREATE OR REPLACE TABLE FACT_QUALITY_MEASURE (
    qlty_key        INTEGER        NOT NULL  -- surrogate key,
    mbr_key         INTEGER        NOT NULL  -- FK to DIM_MEMBER,
    plan_key        INTEGER        NOT NULL  -- FK to DIM_PLAN,
    meas_yr         SMALLINT                 -- measurement year,
    hedis_meas_cd   VARCHAR(20)              -- HEDIS measure code,
    denom_ind       CHAR(1)                  -- denominator eligible,
    numer_ind       CHAR(1)                  -- numerator met,
    excl_ind        CHAR(1)                  -- exclusion indicator,
    gap_open_ind    CHAR(1)                  -- care gap open,
    star_rtg_nbr    DECIMAL(3,1)             -- star rating,
    qlty_scr        DECIMAL(5,2)             -- quality score,
    perf_thrsh_pct  DECIMAL(5,2)             -- performance threshold,
    raf_scr         DECIMAL(10,3)            -- risk adjustment factor,
    outreach_cnt    SMALLINT                 -- outreach attempts,
    load_dt         TIMESTAMP_NTZ  NOT NULL  -- load timestamp
);

Standard Snowflake DDL for the canonical quality table. Convert to BigQuery or Databricks →

Why This Term Matters

Quality measure data determines how payers and providers are rated and reimbursed under CMS Stars, HEDIS, and value-based care contracts. Data engineers who understand quality terminology build measure calculation pipelines that correctly attribute patients, apply denominator exclusions, and flag documentation gaps before submission deadlines. Incorrect quality data directly affects star ratings, pay-for-performance bonuses, and Medicare Advantage plan bids.

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