About Us | NQF
Together We are Leading Exciting Work Joint Commission and NQF have formed a strategic affiliation to enhance healthcare quality, safety, equity, and affordability. NQF will continue its independent role in
Joint Commission Launches a Transformative Approach to Healthcare
Underpinned by technology and data analytics, Accreditation 360: The New Standard, reduces burden, introduces outcome-based measures and enhances patient safety and quality care
National Quality Forum Seeks Public Comment on Artificial
The National Quality Forum (NQF), an affiliate of Joint Commission, is seeking comments from the public on a draft of its upcoming report on the use of artificial intelligence (AI) methods in
Home | NQF
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
Updating the Serious Reportable Events (SRE) List | NQF
NQF® is developing a unified, consensus-based, updated list of the Serious Reportable Events (SREs) that reflects the full range of today''s care delivery settings and modalities and fosters alignment of
Join Us | NQF
Engaging with NQF® helps improve healthcare, elevates organizational voices in policy issues, and enables leadership growth. Our national community shapes the future of healthcare, promoting
Joint Commission and National Quality Forum Join Forces to Improve
NQF and The Joint Commission have announced a new strategic affiliation to accelerate improvements in health for all people. NQF will join The Joint Commission enterprise, while
Key Initiatives | NQF
Key Initiatives NQF® rapidly implements next-generation measures and methods to improve patient safety, outcomes and affordability while reducing measurement burdens.
Knowledge Library | NQF
For this project, the All-Cause Admissions and Readmissions Standing Committee evaluated 11 newly submitted measures and six measures undergoing maintenance review against
AI Methods | NQF
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,
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