Revenue Cycle Optimized

Referrals are supposed to drive patient volume, but without clear workflows and automation, they often fall into a black hole where nothing happens. In this episode, we explore how missing prior auths, unclear responsibility, and lack of follow-up cause patients—and revenue—to quietly disappear.

Learn how AI-driven automation reduces manual entry, enhances referral processing, and improves scheduling accuracy. Featuring Stuart Newsome and Lindsey Nelson. Brought to you by www.infinx.com

Automation is a powerful driver of efficiency in prior authorizations—but not every payer plays by the same rules. In this internal conversation excerpt with Jennifer Glockzin, Senior Manager Patient Access , we explore how Medicaid and regional plans create challenges that require both smart technology and a skilled team to ensure nothing falls through the cracks.

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 In this episode, we explore how AI agents and document capture tools transform outdated workflows into fast, reliable triggers for prior auth and referral follow-up.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.

Traditional automation isn’t enough—AI is the future of revenue cycle management. Join Jaideep Tandon, CEO of Infinx, and Stuart Newsome for a discussion on how AI is transforming denial prevention, prior authorization, and A/R workflows. Brought to you by www.infinx.com

Live from the Vive Conference, Navaneeth Nair, Chief Product Officer at Infinx, joins John Lynn of Healthcare IT Today to discuss the evolving role of AI in revenue cycle management. They explore how AI agents can streamline workflows, enhance human expertise, and build trust through task-based automation.

Discover how automation and AI agents revolutionize referral follow-up, optimizing efficiency in revenue cycle management. Learn how integrating Document Capture AI and automated referral workflows streamlines processes, reduces errors, and accelerates decision-making.

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 revenu...

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.