Patient access errors like eligibility verification mistakes and missed prior authorizations can quietly drain millions in lost revenue. In this episode of RCMinutes, we explore how AI automation agents help eliminate these front-end issues, reduce denials, and safeguard profitability for healthcare organizations.

Join Stuart Newsome as we explore how AI-powered document capture and AI agents are eliminating documentation bottlenecks, reducing manual data entry, and improving claim accuracy across healthcare specialties. Learn how AI is transforming RCM efficiency for radiology, labs, PT/OT, cardiology, and more!

Brought to you by www.infinx.com

In this episode of RCM Insights, part of the Revenue Cycle Optimized podcast, we walk through a comprehensive revenue cycle assessment to uncover shortfalls, identify revenue recovery opportunities, and prevent denials. Bimal Sahoo explains how a structured review of key financial metrics provides provider organizations with the analytics needed to optimize collections and strengthen their revenue cycle.

VK Eswarakrishnan, Director of Product Management, and Christina Harkins, Senior Revenue Cycle Manager, discuss how AI-driven revenue cycle management (RCM) technology enhances workflow automation, improves denial management, and optimizes AR recovery. Learn how intelligent automation and predictive analytics are transforming RCM operations for healthcare organizations.

AI Automation Agents are transforming revenue cycle management by eliminating manual tasks like prior authorizations, eligibility checks, and claims follow-ups. Unlike traditional bots, AI-driven agents can adapt to system changes in real time, ensuring seamless automation without constant reprogramming.

How is automation transforming provider success in RCM? Join Stephanie Solich, Regional VP of Enterprise Sales at Infinx, as she shares insights on reducing denials, optimizing labor, and improving financial predictability through AI-driven Agents.

Brought to you by www.infinx.com

AI-driven document capture is transforming order entry for imaging centers by automating intake, classification, and data extraction AI agents. In this segment of RCM Insights, Stuart Newsome explains how Infinx’s Document Capture AI Agents are eliminating inefficiencies and reducing errors in RIS workflows.

Discover how AI and automation are transforming workflow optimization for orthopedic imaging centers. In this episode, Samantha Towler, Ancillary Patient Services Manager from Tennessee Orthopedic Alliance shares insights on leveraging technology to streamline prior authorization, reduce administrative burden, and improve operational efficiency in imaging workflows.

Manual data entry and outdated document capture methods create costly errors, slow claims processing, and increase denials—draining healthcare revenue. AI-powered agents provide a smarter solution, automating data capture, reducing errors, and accelerating claims processing for a more efficient and profitable revenue cycle.

Manual RIS order entry slows down radiology workflows and increases errors. Sameer Sheth, Infinx Senior VP of Client Services, shares how automation is transforming order entry—plus real-world success stories and key takeaways.

Brought to you by www.infinx.com