Enhancing RCM Efficiency with AI Agents and Advanced Document Capture Solutions
Managing documentation in revenue cycle management (RCM) remains a major challenge for healthcare providers, particularly in radiology, labs, physical therapy, cardiology, and orthopedics — specialties that rely heavily on referring provider orders, prior authorizations, and insurance verification. Manual data entry, outdated OCR systems, and paper-based workflows slow down processes, increase administrative burden, and lead to claim denials.
In this Office Hours session, host Stuart Newsome will explore how AI-powered document capture and AI agents are transforming RCM by eliminating documentation delays, automating data entry into EHRs, and significantly improving claim accuracy and compliance.
Learning Objectives:
- Understand how AI-powered document capture goes beyond OCR to extract, classify, and validate data in real-time
- Learn how AI agents autonomously enter and verify patient data in EHRs, reducing manual workload and errors
- Explore the impact of AI-driven automation on reducing claim denials, improving compliance, and accelerating prior authorization approvals
- Gain insights from real-world case studies where AI solutions helped healthcare providers clear documentation backlogs and optimize revenue cycle performance
Whether you’re in radiology, lab services, PT/OT, cardiology, or any specialty that depends on referring providers, this session will provide actionable insights into how AI is revolutionizing healthcare RCM workflows.