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.
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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.
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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.
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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.