Session Description
Healthcare revenue cycle leaders are confronting a perfect storm: rising denials, declining reimbursement, staff shortages, and sweeping new regulations. Recent federal regulations such as OBBBA raise the stakes by mandating real-time billing, greater price transparency, and streamlined prior authorization — regulatory shifts that require organizations to radically rethink their compliance and workflow strategies.

Traditional revenue cycle metrics like “days in A/R” and “clean claim rate” no longer provide enough insight to manage these pressures. Analysis of millions of insurance claim collection activities shows that 62% of touches in the revenue cycle are wasted and 40% of denials result from pre-registration breakdowns. This hidden administrative waste translates into lost revenue, higher labor costs, and greater compliance risk under OBBBA’s tighter rules.

This session will provide attendees with a practical roadmap to align, people process and technology with real case examples of how generative and agentic AI-powered tools and next-generation benchmarks have helped healthcare organizations reduce avoidable touches, increase first-touch payment rates, and unlock significant revenue improvement. Case examples include provider organizations that cut avoidable denials by up to 70% and saved hundreds of thousands annually in labor costs.

Learning Objectives
· Translate Regulatory Mandates into Action: Understand how OBBBA’s billing, transparency, and prior authorization requirements impact revenue cycle operations.

· Measure the Hidden Cost of Human Touches: Apply MedEvolve’s benchmarks (Zero Touch Rate, Avoidable Touches, First-Touch Payment Rate) to identify waste and compliance risk.

· Prevent Denials with AI: Leverage predictive analytics to catch errors at pre-registration, coding, and documentation stages before claims are submitted.

· Improve Compliance with Automation: Use AI-driven workflows to ensure transparency, reduce manual rework, and support OBBBA’s real-time billing mandates.

· Adopt a Benchmark-Driven Roadmap: Shift from traditional revenue cycle metrics to intelligence-driven benchmarks that strengthen financial health and compliance simultaneously.

Speaker:
Matt Seefeld
Chief Executive Officer, Medevolve, Inc.

Session Description:
Designing effective provider compensation models is a continual learning process. This session explores real-world successes and failures from more than 20 years of testing incentive structures to improve provider productivity and engagement. Discussion will focus on what worked, what didn’t, and why—highlighting lessons from past models and practical insights from a current two-component approach that combines RVU-based productivity with a quality incentive. Attendees will gain actionable ideas to strengthen their own compensation plans and better align performance with organizational goals.

Learning Objectives:
By the end of this session, participants will be able to:
- Identify key factors that contribute to the success or failure of provider compensation models.
- Evaluate how different incentive components impact productivity, quality, and engagement.
- Apply practical strategies to design or refine compensation models that balance volume and value.

Speaker:
Brian Duckman
Department of Anesthesia, Critical Care, and Pain Medicine Director, Beth Israel Deaconess Medical Center

Session Description:
Are you tired of watching your practice's revenue disappear due to claim denials? Medical practices are facing a perfect storm of tighter margins, shifting payer rules, and smaller billing teams. It's more critical than ever to have a proactive strategy to combat denials. This webinar will break down the most common and costly denial trends in 2026 and give you practical, proven methods to recover revenue faster, even when resources are limited.

Learning Objectives:
By the end of this session, participants will be able to:
- Top Preventable Denials: Discover the most common and costly denial types across multiple payers in 2025 and how to spot them before they impact your bottom line.
- The Hidden Cost of Staff Shortages: Understand why short-staffed billing teams often overlook easy-to-recover revenue and how this leads to significant, preventable losses.
- Leveraging Technology: Learn how to use AI tools, clearinghouse alerts, and denial libraries to close staffing gaps and speed up claim resolution.
- Real-World Workflows: Get a breakdown of workflows used by successful practices to reduce denials without increasing headcount.

Speaker:
James Muir
Senior Vice President of Physician Services, UnisLink

Session Description:
Over the next five years, Revenue Cycle Management will shift from traditional claim processing to intelligent, proactive financial performance. AI will evolve from automation to predictive decision-making — driving denial prevention, reimbursement accuracy, and workforce optimization. As value-based care expands and federal rules tighten around price transparency, prior authorization, and AI governance, RCM leaders must build compliant, intelligence-enabled operating models that improve patient affordability, accelerate cash, and strengthen financial integrity.

Learning Objectives:
By the end of this session, participants will be able to:
- Understand RCM’s AI evolution: Identify how AI will transition from automation to predictive, real-time intelligence in denials, coding validation, authorization, and payment accuracy.
- Prepare for value-based reimbursement: Recognize operational requirements for risk-based contracts — including documentation integrity, patient cost management, and quality-linked financial performance.
- Navigate emerging federal regulations: Evaluate upcoming policies affecting price transparency, prior authorization reform, data interoperability, and AI accountability in revenue cycle operations. 

Speaker:
Shannon Cameron, MBA, MHIIM, CPC
Chief Operating Officer, AFS, LLC of Harvard Medical Faculty Physicians