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Patina Offers New In-Home Program To Medicare Advantage Members

Home Health Care

Patina Health Inc. provides essential administrative and management support, focusing on non-clinical quality assurance, information technology, population health analytics and thought leadership.

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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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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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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.

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24 Executive Healthcare AI Predictions & Trends to Watch in 2025

HIT Consultant

AI-powered quality assurance will become the norm, enabling 100% of contact center interactions to be analyzed and scored automatically. AIs role will expand significantly in areas like patient management, decision support systems (CDSS), population health, and personalized medicine.