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measures    音标拼音: [m'ɛʒɚz]


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英文字典中文字典相关资料:


  • 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, pay-for-performance, public reporting, value-based payment, and other accountability purposes
  • Home | NQF - National Quality Forum
    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 Study Demonstrates How Improving on Two Key Healthcare Quality . . .
    In an effort to find out how much patients benefit from programs incentivizing healthcare providers and health plans to improve the quality of care, an NQF research team used national data to estimate the impact of improved performance on two specific quality measures widely used in public- and private-sector accountability programs
  • Key Initiatives | NQF
    Key Initiatives NQF® rapidly implements next-generation measures and methods to improve patient safety, outcomes and affordability while reducing measurement burdens
  • Search | NQF
    NQF is dedicated to forging multi-stakeholder consensus on measurement standards and practices that improve outcomes, safety, and affordability for all people Our projects reflect our belief that measures alone are insufficient to create the care we need Quality improvements happen when diverse stakeholders come together, have an equal voice, build holistic solutions, and commit to
  • Outcomes-Driven Certification | NQF
    NQF, in partnership with The Joint Commission, rapidly implements next-generation measures and methods to improve patient safety and outcomes while reducing measurement burdens Our work addresses critical issues like competing measures, costly data capture, and the need for impactful, patient-centered outcomes
  • Advancing Measurement of Diagnostic Excellence
    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
  • National Quality Forum Seeks Public Comment on Artificial Intelligence . . .
    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 healthcare quality measurement The report includes guidance and recommendations for developing, selecting, and implementing AI-enabled quality measures in accountability programs, including value-based
  • 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 disparate definitions and terminologies used when interpreting harm events and subsequent reporting adherence The updated report reflecting the latest revisions to the Serious Reportable
  • 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 OAKBROOK TERRACE, IL – Joint Commission today launched Accreditation 360: The New Standard, a transformational approach to hospital and healthcare accreditation and certification Leveraging data analytics with a





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