measurement adjustment amount
meas_adj_amtDefinition
The modification value for a quantified clinical value. Used to capture financial data associated with measurement transactions. This field is commonly used in electronic health records (EHR), healthcare information systems (HIS), and clinical data warehouses for measurement management and reporting.
Standard Abbreviation
meas_adj_amt
Category
quality
Database Usage
-- Example column naming
CREATE TABLE claims (
clm_id VARCHAR(50),
meas_adj_amt NUMBER(12,2), -- measurement adjustment amount (precision 12, scale 2)
...
);
-- Example in SELECT
SELECT
clm_id,
meas_adj_amt as measurement_adjustment_amount
FROM claims;Example database column name
ISO-11179 snake_case standard
-- Recommended column name
meas_adj_amt
-- Example DDL
CREATE TABLE healthcare_data (
record_id VARCHAR(50) NOT NULL,
meas_adj_amt NUMBER(12,2), -- measurement adjustment amount (precision 12, scale 2)
created_dt TIMESTAMP NOT NULL DEFAULT NOW()
);Column names follow the ISO-11179 naming convention: lowercase, underscore-separated, using the standard abbreviation as a prefix where applicable.
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.
Common uses in healthcare data
- HEDIS measure rate calculation and reporting
- CMS Stars rating program performance tracking
- Quality improvement initiative monitoring
- Pay-for-performance (P4P) contract analytics
- CAHPS survey data integration and scoring
- HEDIS measure calculation in Snowflake using claims, lab, and pharmacy fact tables
- Epic and Cerner quality data extract (QDE) parsing for hybrid measure reporting
- Databricks measure rate calculation pipelines with year-over-year trend analysis
Related Healthcare Standards
HEDIS (NCQA)
The Healthcare Effectiveness Data and Information Set — the primary quality measure framework used by commercial, Medicare, and Medicaid payers for plan performance reporting.
CMS Stars Quality Rating System
CMS's rating system for Medicare Advantage and Part D plans, based on HEDIS, CAHPS, and HOS measures that directly affect plan bids and bonuses.
HL7 QRDA (Quality Reporting Document Architecture)
The HL7 standard for electronic quality measure data submission to CMS, used for Promoting Interoperability and eCQM reporting.
Data Quality Considerations
- Denominator exclusions are the most common source of HEDIS rate calculation errors — model exclusion flags as explicit boolean columns and audit them against current NCQA technical specifications before submission.
- Hybrid measure data (combining claims and medical record data) requires strict source-of-truth rules — document which data source takes precedence in your Snowflake quality pipeline and enforce it in your transformation logic.
- Measure compliance logic is rate-year specific: a qualifying service for one Stars year may not qualify the next due to specification changes — version your measure logic by measurement year and store the version tag on each calculated rate.
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