In this RCM Insights episode, Stuart Newsome, VP of RCM Insights, breaks down the fundamentals of benchmarking in revenue cycle management, including key metrics like net days in A/R and clean claim rates. Learn how AI and automation tools can help healthcare organizations go beyond analytics to drive performance, identify gaps, and enable continuous improvement.

Many healthcare teams think speeding up document intake will fix their prior authorization delays — but without intelligent automation, faxes still fall through the cracks. In this episode, we explore how AI agents and document capture tools transform outdated workflows into fast, reliable triggers for prior auth and referral follow-up.

AI is reshaping healthcare revenue cycle roles, not replacing them. Lavonne Hamby, Client Services Manager at Infinx, joins us to discuss AI’s impact on job structures, workforce adaptation, and accountability—helping RCM professionals navigate change while staying in control.

Brought to you by www.infinx.com

In this episode, Christina Harkins breaks down how AI-powered automation and analytics are reshaping revenue cycle workflows. From identifying coding errors and denial trends to prioritizing high-impact claims, she explains how ARDM helps teams work smarter, not harder.

Despite advancements in healthcare technology, prior authorization still relies on fax machines, phone calls, and manual data entry. In this episode, Jennifer Glockzin breaks down the daily challenges providers face with TPAs, intent-to-deny notices, and unaffiliated provider referrals—revealing where automation can finally bridge the gaps in patient access and revenue cycle management.

Prior authorization isn’t just a front-end task—it impacts claims, denials, and revenue cycle efficiency. Learn how automation streamlines prior auth from intake to reimbursement, reducing delays and preventing denials before they happen.

Learn how to adapt to changing managed care rates and avoid common pathology coding errors that impact your bottom line with David Smith, COO, MedReceivables Advisor. Understand the steps needed to ensure your practice gets paid accurately and on time.

Brought to you by www.infinx.com

Unlock the power of actionable data in revenue cycle management. Jason Adams, President of Ni2, an Infinx company, shares how AI-driven analytics, customized dashboards, and expert-driven clinical appeals can transform financial performance, enhance transparency, and ensure claims get paid.

AR & denial management is often a manual, time-consuming process that leads to inefficiencies and lost revenue. In this episode, Bimal Sahoo, Principal Product Manager at Infinx, compares traditional recovery methods to how AI-driven automation is transforming the way organizations recover outstanding revenue, prioritize denials, and streamline workflows for faster financial outcomes.

Many healthcare organizations believe their revenue cycle technology is streamlining operations, but outdated automation often adds more manual work, not less. In this episode of RCMinutes, we uncover how AI Agents—powered by RPA, GenAI, and cognitive decision-making—replace inefficiencies with true automation, eliminating bottlenecks and optimizing revenue cycle performance.