The HIMSS26 conference made one thing clear. AI in revenue cycle management software is no longer a pilot project. It is now the baseline expectation.
That is a significant shift. However, it creates a practical question. What does the infrastructure underneath your billing workflow need to look like?
The Industry Has Made Up Its Mind
A survey of senior healthcare executives found that 85% expect AI to improve revenue cycle performance within five years. That view spans health systems, physician groups, and outpatient practices.
The pressure is real. Today, 41% of providers report denial rates above 10%.Manual procedures cannot keep up. AI can help. But only with the proper infrastructure.
What Breaks Outside the Hospital
Hospital billing teams include coders, authorization specialists, and denial specialists. Ambulatory and outpatient groups typically do not. When care moves outside four walls, gaps arise quickly.
Here is what teams deal with every day:
- Intake gaps: Insurance data gathered at check-in is frequently not properly billed. Eligibility discrepancies are discovered late – or not at all.
- Scheduling disconnects: Often, authorization needs are not confirmed prior to the appointment. This presents a billing issue after the care is completed.
- Communication breakdowns: The front desk, clinical, and billing staff use distinct systems. Updates are rarely received by all three at the same time.
- Documentation delays: Clinicians are under time constraints. Notes are done late. Payers frequently lack the necessary information. This accounts for a significant portion of denials
- Billing leakage : occurs when charges are overlooked in a fragmented outpatient billing workflow. Services are under-coded or unbilled, particularly at satellite sites.
These are coordination failures. And modern revenue cycle management software is now built to fix them.
Where Automation Does the Work
Today’s revenue cycle management software targets four key problem areas:
- Prior authorization: The system verifies payer rules before submitting. It identifies potential rejections early on. Authorization requests are automatically prefilled.
- Claim scrubbing: Coding errors and missing modifiers are detected before submission. Fewer errors lead to fewer rejections and faster payment.
- Denial prediction: Each claim is rated according to previous payer behavior. Teams can act before a denial occurs, not after.
- Documentation prompts: Clinicians are instructed to capture what payers require at the moment of care. Better notes imply cleaner claims from the beginning.
These are standard features in revenue cycle management software today. The real question is whether your infrastructure can support them.
Multi-Site Groups Face a Harder Problem
Most ambulatory organizations operate more than one site. That makes coordination difficult. It also makes errors more costly.
Billing departments wind up chasing notes across three sites. Finance lacks a clear image of collections. Reconciliation adds up. Every new site provides further exposure.
Organizations that scale effectively use their workflow platform as operational infrastructure. They integrate the front desk, clinical, and billing functions into a single, coordinated system, rather than three separate systems.
The Revenue Impact Is Real
Revenue losses in outpatient settings are easy to miss. A service goes unbilled. A note is filed too late. A visit at a smaller clinic gets billed at the wrong rate
Nothing feels significant right now. But it adds up quickly. Missed documentation results in refused claims. Delayed billing extends the collection cycle. Because of unstructured workflows, some charges never reach their intended payer.
Revenue cycle management software with built-in automation closes these gaps at the source. But it only works when the full workflow is connected.
What Automation Cannot Do
This is where most HIMSS26 chats ended. Automation enhances claim quality. It reduces denials. It speeds up the authorization process. However, it does not process payments.
Once a claim is approved, a different layer takes over. This layer manages patient payments and payer transactions. It should be HIPAA and PCI-DSS compliant. It needs to be consistent across all of your sites. And it must connect directly to your billing team’s tools, with no human handoffs.
Most ambulatory groups send those transactions through a general-purpose processor. It was never designed for healthcare. The automation accomplished its task. The payment layer was not ready.
What That Layer Must Do
A compliant payment layer has specific requirements.
It must process both payer and patient payments. It must be compatible with the tools that your billing department presently uses. It must produce full audit trails for compliance. It must work cleanly across every site. And it must be designed expressly for healthcare, rather than modified from a general platform.
That last point is important. Healthcare billing involves payer contract regulations, HIPAA requirements, and transaction structures that generic processors are not built to handle.
Where CERTIFY Pay Fits
CERTIFY Pay is built to be that layer.
It is the compliant payment processing infrastructure that underpins your automation tools. It handles transactions after the clinical and billing work is done.
It does not predict denials. It does not scrub claims. It does not improve documentation. CERTIFY Pay processes patient payments and payer transactions. It runs through a healthcare-specific gateway built for compliance, clean reconciliation, and direct integration with your billing operations.
As more groups adopt AI-enabled revenue cycle management software, the payment layer becomes more critical. Cleaner claims still require a place to land. Faster approvals require infrastructure to close the transaction.
That is what CERTIFY Pay delivers.
Is your payment infrastructure ready to support it? See how CERTIFY Pay provides the compliant payment layer for AI-enabled revenue cycles.
