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For over 14 years, NQF led the endorsement and maintenance of quality performance measures for CMS. This experience led us to the understanding that the most important work happens through stakeholder engagement and measure innovation before endorsement, and during implementation after it. Today, NQF is dedicated to forging multi-stakeholder consensus on measurement standards and practices ...
NQF® rapidly implements next-generation measures and methods to improve patient safety, outcomes and affordability while reducing measurement burdens. Our work addresses critical issues like unaligned competing measures, costly data capture and reporting, and the need for a next generation of outcomes-focused measures and measure sets reflecting the results that patients and clinicians say ...
Our Artificial Intelligence in Quality Measures Initiative develops guidance for the development, selection, and implementation of quality measures incorporating AI methods for use in accreditation, pay-for-performance, public reporting, value-based payment, and other accountability purposes.
Participating organizations are assessed using defined sets of quality measures and receive insights into how their performance compares with peers, supporting improvement, and shared learning across healthcare systems. Unlike traditional certification models that emphasize process compliance, outcomes‑driven certification is designed to:
NQF will convene various multistakeholder groups, including an Advancing Measurement of Diagnostic Excellence Committee, Artificial Intelligence in Quality Measures Technical Expert Panel (TEP), and ad-hoc subcommittees to confront measurement challenges and recommend solutions.