Revenue Cycle Optimized

Denials are often blamed on payers or staffing shortages, but the true root causes usually begin much earlier in the workflow. This segment explores how diagnosing denials correctly allows AI to move from reactive appeals to proactive prevention and measurable financial improvement.

In this episode, Natalia Arzeno-Gonzalez, Chief Data Scientist at Infinx, helps revenue cycle leaders cut through the noise by setting realistic expectations for AI in RCM. The discussion explores what AI does well today, where it falls short, and why data readiness, workflow maturity, and integration matter more than buzzwords.Brought to you by www.infinx.com

Even high-performing hospitals leave revenue on the table due to complexity, outdated charging methodologies, and process blind spots. In this episode, Anthony Amaya explains how disciplined charge capture optimization can deliver a measurable one to four percent net revenue lift without adding volume or increasing costs.

As AI becomes embedded into revenue cycle workflows, accountability can no longer be treated as a black box owned by technology. This episode explores how leaders should set expectations, measure outcomes, and stay responsible for results even as automation scales.

This episode, recorded live from the Oregon HFMA Winter Conference, reflects on how change shows up across healthcare revenue cycle operations and how augmented intelligence has become a recurring thread connecting those experiences. We'll explore why some parts of healthcare evolve quickly while others resist change, and what that means for the people navigating it every day.Brought to you by www.infinx.com

In this episode of Revenue Cycle Optimized, Jennifer Glockzin, Senior Director of Patient Access at Infinx, walks through the real-world prior authorization process from intake to determination and appeals. Her breakdown highlights how disciplined workflows, supported by AI agent automation and coordinated human in-the-loop, protect revenue and reduce preventable denials.

When leaders ask “Why AI?” in revenue cycle, they're often reacting to growing complexity, staffing pressure, and loss of control rather than chasing innovation. This segment reframes the AI conversation around stability, predictability, and restoring confidence in day-to-day operations.

In this episode, Jaideep Tandon, CEO of Infinx, shares a sensible, leadership-driven perspective on the evolving role of AI in RCM. Rather than focusing on technology for technology's sake, the conversation centers on outcomes: improving efficiency, reducing revenue leakage, and supporting better financial decision-making across increasingly complex healthcare environments. Jaideep addresses how revenue cycle leaders can play a more active role in shaping AI success with a clearer understanding of how to evaluate AI initiatives, set realistic expectations, and lead AI adoption as an ongoing journey.Brought to you by www.infinx.com

In this segment from What's My Tagline? with host Carol Flagg, Stuart Newsome discusses why AI messaging in healthcare is hitting a wall and how skepticism is forcing a shift toward outcomes-based positioning. The conversation explores what revenue cycle leaders actually care about in 2026 — trust, specificity, governance, and real operational impact.

AI agents create the most value in revenue cycle workflows when they operate as a coordinated system rather than isolated tools. This episode explores how multi-agent orchestration combined with a tech-enabled human layer delivers reliability, accountability, and real operational outcomes in RCM.

EMR upgrades, clearinghouse changes, and AI are reshaping revenue cycle operations, but they can also disrupt cash flow if not carefully managed. This episode focuses on maintaining revenue continuity during system transitions, highlighting where delays commonly occur, how AI fits into modern workflows, and what operational safeguards help ensure revenue continues to flow through change.Brought to you by www.infinx.com

In this episode, Navaneeth Nair, Chief Product Officer at Infinx, explains what it really takes to make AI work in revenue cycle management, from decomposing workflows into task-level agents to maintaining human-in-the-loop oversight. The conversation explores why effective RCM automation depends on orchestration, agent lifecycle management, and tech-enabled workflows designed for real operational complexity.

In this RCMinutes episode of the Revenue Cycle Optimized podcast, we unpack what healthcare teams truly trust about AI, and what still makes them hesitate. Drawing from real conversations with providers, this episode explores why reliability, transparency, and workflow alignment matter more than flashy automation.

AI can extract data from documents—but making that data usable, reliable, and scalable is where most efforts fall apart. In this episode, Charu Nevatia explores why AI document capture isn't plug and play and what it really takes to operationalize it in healthcare.Brought to you by www.infinx.com

Ambulatory and acute care billing share many of the same building blocks, but the way data, workflows, and reimbursement are structured creates very different operational realities. In this episode, we explore how those differences shape not only revenue cycle strategy, but also how automation and AI should be applied effectively with these considerations across care settings.

Healthcare's cautious approach to AI isn't resistance to innovation, it's a response to real operational, clinical, and financial risk. In this episode, we unpack why moving slowly is often the smartest move, and how intentional adoption builds trust, safety, and long-term value.

As payors increasingly use AI to review documentation and accelerate denials, radiology practices must adapt. This session explores how stronger documentation, AI-supported workflows, and proactive compliance strategies can reduce preventable denials and protect revenue in an evolving payer landscape.Brought to you by www.infinx.com

Many rendering healthcare organizations aren't responsible for initiating prior authorizations, but they are still accountable for verifying them before care is delivered if they want to get paid. In this episode, we break down why follow-up verification has become its own critical workflow, especially for radiology, labs, and referral-driven specialties.

As healthcare organizations adopt AI across the revenue cycle, skepticism often centers on risk and trust. In this episode, we unpack why AI itself isn't the problem, bad data is, and why protecting downstream systems starts with data integrity, not more sophisticated algorithms.

Faxes still sit at the center of referrals, orders, and authorizations by quietly slowing care, overwhelming staff, and delaying revenue. In this live demo, Stuart Newsome and Jonathan Aguiar show how AI agents transform document intake from a manual bottleneck into a reliable, scalable foundation for revenue performance.Brought to you by www.infinx.com

In this episode of Revenue Cycle Optimized, Charu Navatia and Neelam Yadav walk through how Document Capture AI evolved into Document Capture Plus, a scalable platform built for real-world healthcare workflows. From intelligent AI agents and human-in-the-loop design to enterprise integrations and compliance readiness, this conversation shows how document automation is moving from task support to true end-to-end orchestration.

In 2025, AI made it easy for Health IT teams to scale content, but it also created noise, saturation, and growing buyer skepticism. In 2026, AI agents will matter most when they help close the trust gap by delivering practical outcome-driven impact, respects time, and reduces risk.

Best of Office Hours 2025 - In this episode, Infinx CEO Jaideep Tandon breaks down why automation alone can't keep up with today's revenue cycle complexity—and why AI must move beyond task execution to contextual thinking, prediction, and adaptation. From denial prevention and prior authorization to AR prioritization, this conversation explores how AI, automation, and human expertise must work together to future-proof revenue cycle operations.

Prior authorization and eligibility verification in therapy and rehab are shaped by payer urgency, visit limits, and fragmented automation. In this episode, we explore what it takes to manage these workflows at scale by combining payer-aware automation, human follow-through, and system integration to deliver complete, usable outcomes without shifting work back to internal teams.

As 2025 comes to a close, healthcare organizations are looking ahead with a mix of skepticism, hope, and fatigue. In this episode, we share grounded predictions for 2026 based on what teams told us all year. And that is where AI can truly help, where humans must stay involved, and how confidence and trust will matter more than hype.

Best of Office Hours 2025 - In our most popular episode of the year, Neelam Yadav, Associate Product Manager at Infinx Healthcare, breaks down how radiology teams can modernize intake without disrupting Epic workflows or introducing downstream risk. The conversation dives into document capture, referral accuracy, duplicate prevention, and phased automation strategies that improve efficiency while protecting clinical and operational integrity.

In this episode, Navaneeth Nair, Chief Product Officer at Infinx unpacks insights from a real conversation with a healthcare organization exploring AI for revenue cycle operations. While the discussion starts in accounts receivable, it quickly reveals why only fully autonomous AI agents, not assistive automation, can deliver meaningful impact across the entire revenue cycle.

This year's biggest patient access wins didn't come from trend decks or theoretical frameworks — they came from listening. In this episode, we share the patterns Infinx heard repeatedly across calls with our clients, and what those signals revealed about what actually moved the needle in patient access.

Prior authorization is increasingly complex across service lines and staffing models. In this session, Rayne Premo shares how Iowa Specialty Hospital strengthened its process using AI-enabled services and a centralized approach.Brought to you by www.infinx.com

In this client onboarding training, Lora Pada, AVP of Client Services, walks front office leaders through how to navigate the reverification portal, interpret case statuses, and manage exceptions without creating rework or delays. The session is an inside look at critical onboarding processes to ensure Infinx clients are prepared for the annual re-verification season.

2025 was the year AI agents moved from buzzword to real operational partners across the revenue cycle. In this episode, we look back at how eligibility, prior auth, document capture, and AR optimization all shifted toward faster, more predictable, and more proactive workflows.

See how hospitals and health systems are modernizing radiology coding with AI to improve accuracy, compliance, and coder confidence.

In this episode, Charu Navatia, Associate Vice President of Automation at Infinx, walks through the Document Capture AI Agent platform and how it classifies, extracts, and routes high-volume fax and digital documents like orders, authorizations, and insurance cards. She explains the human-in-the-loop safety net, LLM-based accuracy tuning, and integration patterns that turn messy inbound documents into clean, system-ready data for downstream revenue cycle workflows.

A forward-looking exploration of how AI agents, predictive eligibility, and proactive authorization will reshape patient access. This episode closes out the EVB–PA series with a practical look at what's coming next—and how teams can prepare now.

Payer algorithms now drive denials, audits, and prior authorization decisions before a human ever reviews the case. This episode breaks down how automated payer models impact hospital revenue—and what leaders must do to strengthen oversight, governance, and defensibility.Brought to you by www.infinx.com

In this episode, we explore how Infinx's Philippines operations combine live agents and emerging AI voice agents to power patient engagement, scheduling, soft collections, and specialized outreach work. Moderator Viveka Jagadeesan, Enablement Manager, talks with Kirtan Chittoor and Johnson Singh about scaling from a small pilot to a 1,200+ FTE operation, bilingual support, compliance, and where AI can safely automate front-end workflows.

A smoother EVB-to-prior auth workflow doesn't just save time—it prevents the cascade of avoidable delays that stall scheduling and frustrate patients. In this episode, we unpack how clean handoffs and automated checkpoints accelerate the entire patient access journey.

Medical necessity sits at the intersection of clinical judgment, coverage policy, and payer scrutiny, and in this episode Stuart Newsome, VP of RCM Insights, unpacks what it really means. Joined by Viveka Jagadeesan (Enablement Manager), Lindsey Nelson (Director of Product Marketing), Christina Harkins (Senior Revenue Cycle Manager), and Angie Adams (VP Clinical & Patient Engagement), the group explores Medicare error data, CERT audits, recoupment risk, NCD vs. LCD nuances, and how AI-driven policy intelligence can support medical necessity on both the front and back end of the revenue cycle.

Missed insurance changes and outdated eligibility data trigger a massive amount of unnecessary prior auth volume—most of it preventable with a simple reverification step. In this episode, we break down how proactive reverification keeps PA teams from drowning in duplicate submissions, rework, and avoidable denials.

Listen in as AR and denials management automation comes to life in this live demo of Infinx ARDM. Christina Harkins walks through how AI-driven denial prevention, claim prioritization, and productivity analytics transform how revenue cycle teams work.Brought to you by www.infinx.com

In this episode, Vishwanath Singh breaks down how Infinx is modernizing quality assurance across both RCM and Patient Access through structured governance, risk-based sampling, and emerging AI copilots that strengthen accuracy and reduce variability. He explains how documentation, SOP creation, and auditing are being transformed into real-time, intelligence-driven processes that protect revenue and accelerate performance.

Missed eligibility and benefit verifications can snowball into prior authorization chaos. Listen and learn to unpack how tighter EVB workflows prevent unnecessary prior auths and downstream denials.

Prior authorization in oncology is notoriously complex, with aggressive payer policies and documentation hurdles that delay care. Join Liz Durkin, Manager of Revenue Cycle from Exact Sciences, as she shares challenges faced before Infinx, improvements since partnering, and how automation and programmatic strategies are reshaping their PA workflows.Brought to you by www.infinx.com

In this episode, Eric Grone and Jonathan Aguiar walk through how a flexible patient access platform blends AI, automation, and human expertise to handle eligibility, prior authorizations, and patient estimates at scale. They break down how health systems can configure hybrid models by payer and modality, reduce denials, and unlock analytics that finally make payer friction visible and fixable.

Repeat submissions are a silent time thief in revenue cycles — often caused by missing documentation, manual tracking gaps, or payor black holes. In this episode, we explore why they happen and how automation, visibility, and workflow discipline keep you from falling into the trap.

Long hold times and overwhelmed front-office staff have made patient scheduling a pain point across healthcare. In this episode, we explore how Infinx and Voxology are redefining patient access with AI-powered scheduling agents that combine empathy, intelligence, and efficiency to transform the way patients connect with care.Brought to you by www.infinx.com

Tim Anderson, Executive Vice President of RCM Services at Infinx, shares the unique dynamics, challenges, and opportunities involved in supporting academic medical centers. From multi-specialty billing and grant-funded research to faculty oversight and revenue integrity, he explains how deep expertise and flexibility drive lasting partnerships in this complex sector.

Not all prior authorization denials are created equal. This episode explores how clerical and clinical misclassifications distort denial data—and what intelligent automation can do to clarify the gray zones.

Randy Boner, Associate Director of Client Success, shares real-world lessons from the front lines of reverification—how automation, payer mapping, and orchestration reduce rework, improve accuracy, and keep coverage continuous through the busiest time of year.Brought to you by www.infinx.com

Hospitals don't fail at AI because the code is bad—they fail because the organization isn't ready. In this episode, Stuart Newsome, Navaneeth Nair, and Dr. Tony Tedeschi unpack what “readiness” really means, from leadership alignment and workflow integration to leading indicators, data quality, and change management that sticks.

Explore how automation agents and human specialists work together across the three pillars of prior authorization — determination, initiation, and follow-up. Learn why this balance becomes mission-critical during reverification season, when accuracy and turnaround times can make or break cash flow.