Resource Directory

User Guides
Intro to CQL

Curious about Clinical Quality Language (CQL) but feeling more puzzled than informed? You’re in the right spot! Let’s kick off by demystifying the essentials.

Position Statements
Joint Statement on Digital Quality Measurement Interoperability
NCQA Products
NCQA Data Aggregator Validation Expands to Include FHIR Exchange
Training/Education
The Future of HEDIS: Digital Measurement Midyear Review Webinar
Training/Education
Digital Transition Update From The Health Innovation Summit

FAQs

What does quality measurement cost today?

Quality measurement and reporting requires significant staff effort and expense because of the manual processes involved in the collection, exchange, management and analysis of health care data. A report found that clinicians bear a significant proportion of the cost of quality measurement reporting—an estimated $15.4 billion—including for chart abstraction, data validation and measure reporting. Other industries have leveraged modern information technology to reduce these costs of data management.

Who pays for quality measurement?

Health care organizations—from individual family physicians to university health systems and health plans—all shoulder the costs of quality measure reporting. A large health system spent over $5.6 million on quality reporting in 2018, with over $600,000 paid to vendors to report and share quality data, and including more than 100,000 hours of health care staff time.

What is quality measurement?

Quality measurement is the application of standardized quality measures to evaluate the health outcomes and experiences of care provided to individuals and populations, as well as the structures and processes used by organizations and clinicians to deliver care. The results of quality measurement guide quality improvement and can be used in accountability and value-based purchasing programs.

What are the benefits of dQMs versus traditional quality measures and eCQMs?

BenefitsTraditional MeasureseCQMsdQMs
Data sourcesMultipleSingleMultiple
Data capture uses existing workflows
Uses standard terminology
Uses standard measure logicVariable
Allows versatility in calculation and reportingLimitedLimited
Employs modular software solution
Timely data sharing
Automated data exchange via APIs
Promotes interoperability using broadly applicable data exchange methods
Leverages common data collection requirements
Harmonizes measurement across settings

How will dQMs ensure that patients’ sensitive health data are protected?

dQMs pull data from certified health technology, which adheres to patient privacy and protections mandated in the 21st Century Cure Act. Additionally, health information will reside with HIPAA covered entities that safeguard the information and comply with federal and state regulations and standards for handling PHI.