Artificial Intelligence is no longer a futuristic concept in healthcare revenue cycle management (RCM) — it is actively reshaping how providers capture revenue and how payers adjudicate claims. This session delivers a practical, operational discussion of how AI is transforming the financial ecosystem between providers and payers.
We will discuss intelligent charge capture, automated coding, denial prediction, prior authorization automation, payment integrity, and AI-driven claims adjudication. Attendees will learn how providers can implement AI strategically to accelerate cash flow and reduce denials, while also understanding how payers leverage machine learning to assess risk, detect anomalies, and determine reimbursement.
This balanced discussion provides actionable insights for healthcare leaders seeking to reduce administrative burden, improve financial performance, and navigate an AI-enabled payer landscape.
Identify practical AI applications in provider revenue cycle operations, including coding automation, denial prediction, and intelligent workflow optimization.
Explain how payers use AI in claims adjudication, including risk scoring, fraud detection, medical necessity review, and payment integrity strategies.
Develop a strategic roadmap for responsible AI adoption, balancing financial performance, compliance, data governance, and payer-provider alignment.
