Revenue Cycle Optimized

AI can help revenue cycle teams improve consistency across shifts, locations, and workflows by reducing unnecessary variation in how work gets prioritized, documented, and escalated. In this episode, we explore how AI acts as a quality stabilizer, giving teams more reliable support without removing the human judgment complex revenue cycle work still requires.

Patient financial responsibility keeps growing, but a better financial experience does not start after the bill goes out. In this Office Hours session, Stuart Newsome and Evan Martin, VP Revenue Cycle at ZoomCare, discuss how upfront insurance verification, patient liability estimation, and clearer payment pathways can reduce friction for both patients and providers. Brought to you by www.infinx.c...

Lindsey Nelson, Product Marketing Leader at Infinx, explains how Infinx is bringing Medical Necessity AI Agent to market through a phased launch shaped by research, beta feedback, and early customer evaluation. She also outlines what makes the solution different from rules-based tools, including explainable clinical reasoning that helps teams assess coverage earlier and prevent denials before subm...

Burnout in revenue cycle is not just a staffing problem. In this episode of RCMinutes, we explore how AI can reduce administrative strain, lower emotional pressure on teams, and create a more sustainable revenue cycle operation without framing automation as a headcount reduction strategy.

Payers are taking a closer look at E&M claims, and providers are feeling the impact. This session explores what is changing, why it matters, and what organizations can do to respond. Brought to you by www.infinx.com

AI in revenue cycle is not just about automation. In this RCMinutes episode of the Revenue Cycle Optimized podcast, we explore how AI-powered decision support helps revenue cycle teams prioritize work, reduce second-guessing, improve denial management, and make faster, more confident operational decisions.

Listen to how RCM Plus uses AI to predict denial recoverability, prioritize work by expected reimbursement, and orchestrate human teams around the claims most worth pursuing. Brought to you by www.infinx.com

Medical necessity review is getting harder as payer policies change more often and AI allows health plans to evaluate cases at greater speed and scale. In this episode, Navaneeth Nair explains why older rules-based tools could not fully solve the problem and how a new AI approach can help providers assess unstructured documentation, preserve scarce expertise, and prevent denials earlier in the rev...

AI and automation in revenue cycle mean very little without measurable outcomes to back them up. This episode explores why the real goal is relief from staffing strain, administrative burden, and constant rework, and why outcomes are the proof that progress is actually happening.

Long term care pharmacy billing is uniquely complex, shaped by changing patient status, payer transitions, and facility-specific requirements that do not exist in other pharmacy settings. In this episode, Derek Taylor, PharmD, explores the billing challenges that define LTC pharmacy operations and shares practical strategies for improving accuracy, efficiency, and financial performance. Brought to...

Prior authorization has changed dramatically over the last decade, but not every solution has evolved in the same way. In this episode, Jason Lewis explores the history of prior authorization automation and helps healthcare leaders understand the models, gaps, and realities behind today’s competitive landscape.

AI success in revenue cycle rarely comes from a single implementation or vendor promise. This segment explores how leaders should evaluate partial wins, guide use cases, and actively shape AI outcomes instead of reacting to market hype.

Independent radiology centers face growing competition from hospital systems, where speed to schedule and authorization turnaround directly impact patient access and referral retention. In this episode, Heidi Simpson, Operations Manager at Advanced Diagnostic Radiology, shares how leveraging prior authorization services as a strategic advantage has helped her organization compete, grow, and modern...

In this episode, Stephanie Cheng, Associate Director of Client Success, explains why eligibility and benefits verification in the physical therapy space still requires more than automation alone. She walks through how a hybrid model of payer integrations, workflow technology, and human support can help organizations scale, reduce bottlenecks, and improve visibility across patient access workflows.

Efficiency is often framed as eliminating humans from workflows, but that’s rarely realistic or measurable. This episode reframes efficiency as practical, incremental gains that reduce cost to collect, improve throughput, and support staff instead of replacing them.

Everyone is racing to reduce cost to collect by cutting the numerator, cost, through AI and automation. In this episode, Anthony Amaya, VP at Infinx, makes the case that a holistic approach, one that also drives the denominator up by increasing cash, delivers faster, measurable results and positions organizations for sustainable gains as automation continues to mature in healthcare. Brought to you...

Determining whether documentation truly supports coverage is one of the most complex and costly challenges in revenue cycle today. In this episode, Navaneeth Nair and Yagna Velu discuss the early vision for using AI to strengthen medical necessity review, reduce avoidable denials, and improve decision-making before claims move forward.

Visibility into unpaid claims and time to pay remains a major struggle for revenue cycle leaders. This segment focuses on how AI should support prioritization and clarity without layering on more tools, dashboards, or operational complexity. 

This episode was recorded live from Infinx’s GTM Growth Summit in Denver. Navaneeth Nair, Chief Product Officer, joins us to discuss a new AI-driven approach to medical necessity review. We’ll explore how provider teams can catch coverage gaps earlier, reduce manual policy lookups, and route exception cases to the right human experts before delays and denials take hold. Brought to you by www.infin...

In this episode of Revenue Cycle Optimized , we explore how a Charge Capture AI Agent inside the Document Capture Plus platform helps turn unstructured healthcare documents into cleaner, more actionable billing data. Product leaders Neelam Yadav and Jainil Pariya, along with Jamie Campagna from MedReceivables Advisors, discuss how AI, business rules, duplicate detection, and human review work toge...

E&M coding performance rises or falls on ten predictable breakpoints that drive payment, denials, rework, audits, and compliance risk. Join our panel for a practical discussion on what fixes those breakdowns and how AI supports scalable oversight through pattern detection, documentation review, exception based workflows, and autonomous E&M coding with human specialist exception handling. B...

Pharmacy prior authorization is far more complex than most teams realize, especially across long-term care, specialty, compounding, and infusion environments. In this episode, Derek Taylor explains how those workflows really function, where the operational friction lives, and why getting the process right is critical to faster medication access and cleaner coordination between pharmacies, payers,...

Eligibility errors, missing documentation, and prior authorization gaps may seem small in the moment, but they quietly erode cash flow, inflate AR, and drive avoidable denials. In this episode, we break down why front-end breakdowns still matter most and how AI can either strengthen your foundation or expose the cracks in it.

In this episode, Jonathan Aguiar, Senior Solutions Engineer, walks through prior authorization verification and demonstrates how the Follow Up AI agent works within the workflow. You will see how cases move through entry and validation, triage, payer review, pending initiation outreach, exception handling, and final status. Learn how automation and human expertise work together to deliver real tim...

E&M coding can look routine, but it quickly becomes a judgment-heavy exercise driven by documentation quality, medical necessity, payer policy, and audit risk. Julie Graham and Bo Bowman explain where autonomous coding and AI agents thrive in repeatable workflows, and why complex E&M decisions still need expert human review and provider education to stay compliant and fully reimbursed.