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Zing Health & Strive Health Expands Access to Value-Based Kidney Care

HIT Consultant

Its case management and population health programs hold accreditation from the National Committee for Quality Assurance (NCQA), while its technology platform, CareMultiplier, is HITRUST-certified. Currently, Strive supports over 121,000 CKD and ESKD patients across all 50 states and works with more than 6,500 providers.

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Cervical Cancer: Early Detection Is Key

NCQA

If you work at a health plan or care delivery organization, educate patients about cervical cancer screening guidelines and early detection. HEDIS is a registered trademark of the National Committee for Quality Assurance (NCQA). Learn more by visiting the National Cancer Institutes website.

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The Analytic Foundation of a Robust Population Health Management Program

Health Dialog

Most risk-bearing organizations, including health plans, accountable care organizations (ACOs), and self-funded employers deploy some form of analytical strategy to inform their approach to population health management. But what that means could be as wide-ranging as: Using registries to track compliance with quality measures.

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Health Innovation Summit Wrap Up: What’s Next?

NCQA

We need better definitions of auditing and reporting for quality measures and downstream reporting to other systems, such as population health. Organizations can get involved in the digital community by accessing free resources through the HL7 Da Vinci Project and NCQA’s Digital Quality Hub. appeared first on NCQA.

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Best Practices in Applying Analytics to Population Health Management Programs

Health Dialog

The primary goal of any population health management program is to improve health outcomes. These improvements in health outcomes should be measurable and analytics are front and center in the process to achieve this measurability. Five Best Practices in Applying Analytics to Population Health Management Programs.

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How to Use Analytics to Guide the Day-to-Day Operations of Your Population Health Intervention

Health Dialog

In a previous blog post, we emphasized the three pronged analytic strategy that risk-bearing organizations should employ when implementing chronic care management and other population health programs. In this post, I will review the final component of the strategy we have outlined: Quality Assurance – the best practice.

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AI-Powered Pop Health and SDOH – The Good, The Bad and The Best Practices

HIT Consultant

Artificial intelligence (AI) has emerged as a powerful tool for making population health analytics more accurate and interventions more effective. Code is written by humans who have unconscious biases, and those biases can creep into the algorithms of AI when Quality Assurance functions are not properly sensitized to detect them.