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The Zero-Touch Claim: How Backend AI Agents Resolve Denials Before Humans See ThemAI

The Zero-Touch Claim: How Backend AI Agents Resolve Denials Before Humans See Them

Denials Aren’t a Back-Office Problem Anymore: They’re a Margin System (and AI Revenue Cycle Management Treats Them Like One) Payers have spent the last decade building increasingly sophisticated rule engines like clinical edits, authorization requirements, bundling logic that determine whether a claim pays at all. The result is that denial management is no longer cleanup […]

6 min readAbhishek Pandey
Protecting Net Revenue: Using AI to Document and Dispute Contractual UnderpaymentsAI

Protecting Net Revenue: Using AI to Document and Dispute Contractual Underpayments

Contractual Underpayments: The Quiet Margin Leak Hiding in Plain Sight for Revenue Cycle Leaders A contractual underpayment occurs when a payer reimburses below the contracted allowed amount: not because the claim was denied, but because the wrong fee schedule was applied, a DRG or APC outlier threshold was missed, a bundling edit suppressed a payable […]

7 min readAmber Day
The Invisible UI: Why the Best Interface for a Medical Admin is No Interface at AllAI

The Invisible UI: Why the Best Interface for a Medical Admin is No Interface at All

In healthcare revenue cycle management, the highest value interface improvement is not a better dashboard. It is fewer clicks, fewer queues, and fewer handoffs. Every swivel chair workflow between a payer portal, an electronic health record screen, a fax queue, and a call center adds cost to collect and slows cash without adding a single […]

6 min readAkshay Kore
The $DAR$ Formula: Why Sub-30 Day Accounts Receivable is Only Possible via Autonomous Agents.AI

The $DAR$ Formula: Why Sub-30 Day Accounts Receivable is Only Possible via Autonomous Agents.

The $DAR$ Formula in AI Revenue Cycle Management: Why “Faster Billing” Isn’t the Same as Sub-30 Days in AR Days in AR is not an accounting metric, it is a throughput problem. Every claim in your system is work-in-process, moving through a chain of dependent steps: eligibility verification, prior authorization, coding, submission, denial response, and […]

8 min readParag Jhaveri
An Executive Guide to the Autonomous Revenue Cycle: What to Delegate to AI and What to Keep for HumansAI

An Executive Guide to the Autonomous Revenue Cycle: What to Delegate to AI and What to Keep for Humans

In the landscape of modern healthcare administration, the most critical question for leadership is no longer “How do we work harder?” but “How do we design a system that scales?” For the modern healthcare executive, including the hospital CFO, the RCM Enterprise CEO, and the Physician Partner, this question has reached a breaking point. Operating […]

8 min readAkshay Kore
Designing for Trust: How Voice AI in RCM Should Sound, Act, and FailProduct

Designing for Trust: How Voice AI in RCM Should Sound, Act, and Fail

AI revenue cycle automation only delivers promised gains if the people and systems it touches; staff, payers, patients trust it enough to let it run without constant intervention. That trust problem is sharpest on the phone. Payer calls, PBM escalations, and automated benefits verification are not passive data exchanges. They are negotiated, audited interactions where […]

6 min readAkshay Kore

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I was surprised at really how smooth and natural Joy's voice sounded. I really felt like I was talking with my sister. I've used a lot of other AI agents for other tasks and I've always found the voices to be staccato, with intermittent response times. Joy was smooth, easy. It was a very natural conversation. For us, it's probably job satisfaction and the ability to get patients into the system and get their treatment going quicker, faster, and easier.

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Dr. Charles A. Bush-Joseph, MD

Dr. Charles A. Bush-Joseph, MD

Sportsmedicine Physician/Surgeon at Midwest Orthopaedics at Rush

Midwest Orthopaedics at RushRush UniversityChicago White SoxChicago Bulls
I was surprised at really how smooth and natural Joy's voice sounded. I really felt like I was talking with my sister. I've used a lot of other AI agents for other tasks and I've always found the voices to be staccato, with intermittent response times. Joy was smooth, easy. It was a very natural conversation. For us, it's probably job satisfaction and the ability to get patients into the system and get their treatment going quicker, faster, and easier.

Prior Authorization

7

Full-service

18

PT locations

athenahealth
Dr. Charles A. Bush-Joseph, MD

Dr. Charles A. Bush-Joseph, MD

Sportsmedicine Physician/Surgeon at Midwest Orthopaedics at Rush

Midwest Orthopaedics at RushRush UniversityChicago White SoxChicago Bulls