Revenue Cycle Optimized

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.