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Cost-Effective Care Without Compromise: How Risk Adjustment Analytics Can Help Provider Groups Manage Healthcare Costs

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Episource
July 23, 2024

The Centers for Medicare & Medicaid Services (CMS) projects that national health spending has grown by 7.5% in 2023, reaching a staggering $4.8 trillion. This rapid growth is expected to continue, with CMS forecasting that total U.S. healthcare costs will soar to an astonishing $7.7 trillion by 2032. Given these numbers, many provider groups are under pressure to reduce costs while maintaining high-quality care. In today’s financial landscape, it’s more critical than ever to be smart and strategic about resource allocation. A well-planned strategy is essential to keep your organization sustainable while ensuring optimal patient outcomes.

The Role of Risk Adjustment Analytics

How can provider organizations tackle these financial challenges? Risk adjustment analytics can play a crucial role. It helps pinpoint which patients need urgent care. By intervening early with these high-risk patients, and creating tailored treatment plans, provider organizations can prevent costly hospitalizations and manage chronic diseases more effectively. This proactive approach enhances patient care and reduces long-term healthcare costs.

Building a Robust Risk Adjustment Analytics Program

In this white paper, we’ll walk you through expert-led strategies to build a robust risk adjustment analytics program. This program will help your organization manage costs and improve patient outcomes. Our guide equips your team with the tools to navigate healthcare analytics, empowering your organization to deliver better care at a lower cost.

What You’ll Learn:

  1. Aggregate Data from Multiple Sources: Discover how to combine claims, medical, and pharmacy data with social determinants of health to create a holistic patient view.
  2. Analyze Data to Glean Insights: Understand the use of AI technologies like machine learning (ML) and natural language processing (NLP) to uncover crucial health insights.
  3. Strategize by Leveraging Data Insights: Develop actionable strategies based on detailed analysis to enhance care quality and reduce costs.
  4. Execute Data-Driven Strategies: Implement targeted interventions and continuous improvement processes to maintain optimal performance

Interested in learning more, download our slide deck Intersecting Clinical Documentation Improvement and Technology to Positively Impact Risk Adjustment and Patient Outcomes

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