Course catalogue

Date: Thursday, November 12, 2026, 2:00 PM – 3:00 PM CST

Uncovering, assessing and changing payer behavior is one of the most promising value propositions for which progressive health systems are turning to AI. This webinar offers first-of-its-kind insights into how payers use their data advantage to generate leakage and takes you under the hood of a health system’s data science process to uncover and change those behaviors. You’ll learn firsthand how Inova Health System turned its own data into a tool to predict, assess and address leakage proactively, as well as the processes to get payers to respond. These insights will help inform your AI strategy, highlight practical and tangible uses, and demonstrate how modern revenue cycles use data science to operate more proactively and efficiently.

Speaker

Learning Objectives

• Understand how payers exploit their advantage in data to drive systemic revenue leakage
• Determine how your organization can uncover and respond to these behaviors
• Provide a tangible, ROI-generating use case for the deployment of AI
• Anticipate and combat changes in payer behavior

CPE Information

• CPE Award Amount: 1.0 (60-minute segment)
• Program Level: Basic
• Program Prerequisite: None
• Advanced Preparation: None
• Delivery Method: Group Internet Based
• Topic: Revenue Cycle Technology
• Field of Study: Specialized Knowledge

CPE Sponsor- Healthcare Financial Management Association is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.

In order to receive CPE credit for this session, you must participate in 50 minutes of the presentation for this one hour program. You must also respond to the 4 polling questions that
will appear during the session and complete the online evaluation within 2 business days after the webinar.

For more information regarding refund policies, as well as any program concerns, please contact our offices at 800.252.4362 or, inquiry@hfma.org.

Sponsored by

For many practices, denials and slow A/R are more than just financial setbacks. They create daily stress, drain resources and pull staff away from the work that matters most. Understanding the root causes early can make a measurable difference in both cash flow and operational efficiency. Join this session to learn how to identify and address common denial drivers, shorten A/R cycles and strengthen financial performance without a major system change. You’ll also walk through a real-world example to see how these strategies work in practice.

Original Live Webinar Date: September 23, 2025

Learning Objectives

• Pinpoint common denial root causes
• Reduce A/R days to accelerate cash flow and ease the burden on staff
• Apply proven best practices to improve revenue cycle efficiency

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In an era of razor-thin margins and rising denial rates, automation isn’t just an option—it’s a strategic necessity. But success depends on thoughtful planning, not simply deploying tools. In this session, presenters explore the real-world journey leveraging automation to improve clinical processes at Virginia Women’s Center – a member of the Privia Health Network, including medical record requests and test result updates, to revenue cycle operations such as carrier directory verification and claim screening. Participants will leave with a pragmatic framework for evaluating automation opportunities, lessons learned, and performance benchmarks to guide their own roadmap.

Original Live Webinar Date: November 25, 2025

Learning Objectives

• Identify RCM workflows most suitable for automation
• Understand the key steps and pitfalls in implementing automation projects
• Evaluate success metrics to measure performance and ROI

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This course defines claims denial management and explains the impact of claims denials on hospitals. It highlights the benefits to hospitals of managing claims denials effectively and describes how claims denials can be managed both before and after denials take place. The course describes types of denials and discusses key strategies for preventing and correcting some common causes of denials.

Learning Objectives

After completing this course, you will be able to:

• Define claims denial management
• Recognize the main functions of a claims denial management program
• Recognize the benefits of claims denial management
• Define the term "denial"
• Identify six types of denials: technical denials, medical denials, partial payments, claim suspensions, discrepancies, and late payments
• Name some of the reasons why hospitals get technical and medical denials
• Identify some ways to prevent and correct technical and medical denials
• Recognize how discrepancies and late payments affect a hospital's bottom line
• List some ways to prevent and pursue discrepancies and late payments
• Recognize why hospitals should focus on preventing claims denials
• Recognize how hospitals can measure and analyze denial data to identify the root causes of denials
• Define the term "revenue cycle"
• Summarize the various strategies hospitals use to proactively reduce denials

Course Outline

• Benefits of Managing Claims Denials
• Types of Denials
• Proactive Strategies to Prevent Denials 
• Assessment and Evaluation

Original Live Webinar Date: Tuesday, June 2, 2026, 2:00 PM – 3:00 PM CST

Too often, insurance A/R is viewed as a clean-up function; one that is constrained, restricted and constantly evolving. But when approached strategically, insurance A/R becomes a powerful lever for margin improvement. This session will show how accurate denial informatics and trending transforms insurance A/R from a reactive backlog into a structured, repeatable operating model that prevents revenue leakage before it occurs. Attendees will learn how to identify true root causes, distinguish systemic issues from one-off payer behavior and translate denial data into clear operational priorities. Sponsored by: Revco Solutions

Speakers

Learning Objectives

• Identify the most critical denial and variance reports to watch
• Trend denial root causes that drive repeatable and sustainable action, not just insight
• Get best practices for ongoing data monitoring and recurrence prevention

Sponsored by:

Originally Delivered Date: Tuesday, September 29, 2026, 2:00 PM – 3:00 PM CST

Payers are no longer relying solely on rules-based denials. They are increasingly using AI and advanced analytics to predict provider behavior; selectively denying and underpaying claims they believe are unlikely to be challenged. The result is a new reimbursement landscape where revenue erosion happens quietly, incrementally, and often below traditional review thresholds.

In this conversation, Missy Harbert, Solution Advisor at Revecore, sits down with Cynamin Kinard, VP of Revenue Cycle at Tanner Health System, to unpack how payer AI strategies are reshaping denials and underpayments — and what it actually looks like to respond from inside a health system. Drawing on Cynamin’s three decades of revenue cycle leadership, the discussion moves beyond theory into real lessons from the field: what’s changed, what’s working, and where hospitals still get caught off guard.

Speaker

Learning Objectives

• Understand how payers use AI to predict appeal behavior and optimize denial decisions
• Identify denial and underpayment patterns designed to go unchallenged
• Recognize where revenue loss occurs without obvious spikes in denial rates
• Evaluate denials based on effort, probability of recovery, and true financial impact
• Use analytics to move from transaction-level reaction to payer strategy insight