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Strategic insights on leveraging AI to eliminate back-office friction, reclaim margins, and automate the healthcare revenue cycle.
Fostering Payer Collaboration to Resolve Systemic Underpayments at ScaleAI

Fostering Payer Collaboration to Resolve Systemic Underpayments at Scale

The goal of modern revenue cycle management is not to battle payers. The goal is to collaborate through clarity, accuracy, and mutual accountability. Payers require specific, structured data to approve claims efficiently, while providers require timely, accurate reimbursement to sustain patient care operations. However, in the modern healthcare economy, this collaborative relationship is complicated by […]

9 min read
Why Automating Payer Calls is Your Best Retention StrategyAI

Why Automating Payer Calls is Your Best Retention Strategy

The foundation of a high-performing healthcare enterprise is not its clinical technology. It is the institutional knowledge held by the people managing the front desk and the back office. Yet, healthcare leaders are watching this critical foundation erode daily. A typical front desk coordinator or Revenue Cycle Management (RCM) specialist spends two to four hours […]

9 min read
Beyond Labor Arbitrage: Why AI-sourcing is the new Outsourcing for RCM enterprisesAccount receivables

Beyond Labor Arbitrage: Why AI-sourcing is the new Outsourcing for RCM enterprises

From Labor Arbitrage to AI Revenue Cycle Management: Why “AI-Sourcing” Is Replacing Traditional Outsourcing “AI-sourcing” is a structural shift in how revenue cycle work gets done, moving task execution from human-dependent BPO and offshore teams to AI agents that complete workflows end-to-end, with staff redirected to exceptions and judgment calls. This is not a staffing […]

7 min read
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 read
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 $DAR$ 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 read
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 read
Decoupling Growth from Headcount: How AI Agents Resolve the Orthopaedic Portal Maze and Recover Trapped RevenueAI

Decoupling Growth from Headcount: How AI Agents Resolve the Orthopaedic Portal Maze and Recover Trapped Revenue

In modern orthopaedic practice, clinical excellence is the baseline, but operational design is the definitive strategic differentiator. For years, the formula for growth in musculoskeletal (MSK) care relied on linear inputs: book more surgical cases, build more Ambulatory Surgery Centers (ASCs), and hire more administrative staff to manage the resulting paperwork. However, the underlying physics […]

10 min read

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

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