Practical Use of AI in Revenue Cycle Management | Healthcare AI Forum #rcm #healthcareai #agenticai

Revenue cycle management remains one of the biggest operational pressure points in healthcare. From patient access and eligibility to claims, denials, documentation, and payment posting, many workflows are still slowed down by manual effort, disconnected systems, and rising administrative complexity. In this Healthcare AI Forum session, industry leaders explore the practical use of AI in revenue cycle management and where it is already creating measurable impact across healthcare operations. The discussion looks at how generative AI and AI agents are helping providers reduce administrative burden, streamline workflows, improve revenue accuracy, and build more efficient back-office processes. This session is designed for healthcare leaders looking to understand where AI fits across the revenue cycle and what real-world adoption looks like beyond the hype. 📌 What You’ll Learn: 1️⃣ Key challenges slowing down modern revenue cycle operations 2️⃣ How AI is reducing administrative burden across healthcare workflows 3️⃣ Where AI agents are creating impact in healthcare administration 4️⃣ How AI can improve revenue accuracy and operational efficiency 5️⃣ What the future of healthcare operations could look like with AI 6️⃣ How AI is influencing payer-side workflows and decision processes 🎙️ Speakers: 🔹 Steven Kamalic – Chief Executive Officer, Laboratory Industry 🔹 Justin Kelly – SVP Patient Access, Nordic Health 🔹 Jonathan C. Leon – Senior Solution Process Architect, Healthcare at Accelirate Inc. 🔹 Gabriel Skelton – Head of AI Solutions, Unstructured Document Automation at OpenBots 🔹 Zia Bhutta – CEO of ANAI Capital #HealthcareAI #RevenueCycleManagement #RCM #AIAgents #GenerativeAI #HealthcareAutomation #DenialsManagement #ClaimsProcessing #PatientAccess #HealthIT #OpenBots