Mastering Chronic Kidney Disease: Optimizing Care Management to Improve Value-Based Care Outcomes
Register to view
Fill in the form below to watch the video.
About this recording
Join us on October 24, 2024, from 9 a.m. to 10 a.m. PT for a webinar co-hosted by Physicians of Southwest Washington (PSW). This session will focus on the role of data analytics, predictive modeling, AI tools, and digital platforms in enhancing the care of patients with Chronic Kidney Disease (CKD).
Dr. Michael Shannon, Chief Medical Officer of PSW, and Cheryl Mosses, Chief Nursing Officer of PSW, will discuss approaches for improving early detection, care coordination, and personalized treatment. The conversation will be moderated by Jake Woods, Executive Director, ACO, PSW.
What you'll take away
- How providers can leverage analytics and predictive modeling for early detection of high-risk patients to improve Chronic Kidney Disease management
- What role technology plays in enhancing care coordination among nephrologists, primary care physicians, and other specialists to ensure optimal Chronic Kidney Disease management
- How AI-driven tools and data analytics can be leveraged to personalize care plans and address care gaps effectively in patients with Chronic Kidney Disease
Who you'll hear from
Brian Silverstein
Innovaccer
Chief Population Health Officer
Dr Michael Shannon
PSW
Chief Medical Officer
Cheryl Mosses
PSW
Chief Nursing Officer
Craig Carroll
Value-Based Strategy & Population Health, Ascension
AVP
Launching Autonomous RCM for Faster Payments
AI-powered autonomous RCM that closes the payer-provider gap - 80% auto-coded encounters, 93% faster prior auths, and 90%+ cash collection. Built on decades of operational expertise.
AI Powered Payer
AI in payer operations has moved from pilot to priority—and the next wave is agentic. Join Innovaccer and AWS on May 20 to explore real-world applications across prior authorization, clinical management, and cost containment.
Rethink Revenue Cycle: From Cost to Margin Engine
Revenue cycle is evolving into an AI-driven operating model that improves margin predictability. Learn how leading organizations prevent leakage, reduce variability, and scale efficiently through automation and administrative autonomy.