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When and Where
  • 11/5/2025 12:00 PM CST
  • 11/5/2025 1:00 PM CST
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  • Live
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Speaker: Patricia Resnik, MJ, MBA, RRT, FACHE, CPHQ, CHC, CHPC, CMAC

NAHQ Board President

Compliance Officer, HealPros



CMS’s Transforming Episode Accountability Model (TEAM) performance year 1 begins January 1, 2026, and will significantly reshape how quality, outcomes, and accountability are measured in healthcare. This webinar brings the TEAM model into focus at a critical moment, giving quality professionals the knowledge and tools they need to prepare for what’s ahead. Participants will gain insights into how quality data drives success under TEAM, the workforce skills required for implementation, and strategies for positioning their organizations to lead in this new era. With the launch date fast approaching, now is the time to understand TEAM’s impact and strategically prepare for this transformational value-based care model.


Learning Objectives

  1. Summarize the goals, structure, and key components of CMS’s TEAM model and why it represents a transformative shift in payment and delivery. 
  2. Analyze how quality data is integrated into the TEAM model and its role in improving outcomes and reducing costs. 
  3. Assess the impact of TEAM on the healthcare quality workforce and identify the leadership skills needed for successful implementation. 
  4. Envision future opportunities and innovations under TEAM to position their organizations for long-term success. 
  5. Understand the resources available at the National Association of Healthcare Quality (NAHQ) to support organizations in creating robust strategies for driving successful quality and financial outcomes in value-based care models. 
Abstract
Copyright

Copyright © by the National Association for Healthcare Quality. All rights reserved. Except as permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, including but not limited to the process of scanning and digitization, or stored in a database or retrieval system without the prior written permission of the publisher.