Make charge capture errors
a thing of the past

On average, health systems and hospitals lose 1% of their potential net revenue due to charge capture problems – which can mean millions of lost dollars annually. In an environment where codes and billing regulations are always changing, ensuring charge capture and compliance are huge challenges. Waystar identifies incorrect and under-coded claims with real predictive analytics and machine learning, helping our clients protect and uncover millions in revenue each year and saving hours of manual work.

The simplest path to uncover + capture hidden revenue 

Automatically identify incorrect and under-coded claims, DRG anomalies and DRGs that failed to transfer to easily recover more revenue and save hours of work. Waystar’s Revenue Capture solutions are designed to streamline the most time-consuming aspects of revenue integrity using predictive analytics and machine learning to monitor and review claims.

The simplest path to uncover and capture hidden revenue 

Automatically identify incorrect and under-coded claims, DRG anomalies and DRGs that failed to transfer to easily recover more revenue and save hours of work. Waystar’s Revenue Capture solutions are designed to streamline the most time-consuming aspects of revenue integrity using predictive analytics and machine learning to monitor and review claims.


Recover Medicare underpayments fast

Almost half of all Medicare discharges are coded as transfer DRGs, and identifying Medicare transfer DRG underpayments can be a costly challenge. While your hospital works to receive transfer DRG underpayments, it may not find 100% of them. Waystar’s technology quickly identifies transfer DRG underpayments with little to no extra work from your team.

Start capturing all of your underpayments today with Waystar.

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“We don’t have the time to constantly read journals to find out the latest code—I don’t know anyone who does. Just one cardiology code the solution found paid for itself for a few years.”

Joe McLendon, Assistant Director, Revenue Integrity, Floyd Health Care System

“John Muir Health System has enjoyed a long-standing relationship with Waystar for Transfer DRG recovery solutions. Using Waystar’s Transfer DRG gives me one less thing to worry about, and the process ensures our coding is as accurate as possible. For hospitals that aren’t using Waystar to recover Medicare underpayments, it might be time to try something different to ensure you’re not leaving money on the table.”

Joshua Welch, Executive Director, Revenue Cycle, John Muir Health

Our Patient Financial Experience
solutions at a glance

Patient
payments

Accept credit card payments via web or mobile, offer automated payment plans and more

Patient
payment
portal

Offer 24/7 access to statements, balances updates and more

Patient
statements +
lockbox

Deliver easy-to-understand statements via text, email and print

Eligibility
verification

Automatically retrieve benefit information to speed up check-in

Patient
estimation

Share accurate cost estimates with patients before the point of care

Coverage
detection

Automatically find insurance coverage that other solutions miss

Get extra insights

Learn more about our Revenue Capture family of products and how we’ve already helped organizations across the country adopt smarter workflows to recover more. Explore the resources below.
An integrated, data-drive approach to charge capture
> Read now
Transfer DRG resource guide
> Read now
Two keys to better DRG accuracy
> Read now
Transfer DRG case study
> Read more
Yuma Regional Medical Center case study
> Read more
Yuma Regional Medical Center case study
> Read more

GET EXTRA INSIGHTS

Learn more about our Revenue Capture family of products and how we’ve already helped organizations across the country adopt smarter workflows to recover more. Explore the resources below.
An integrated, data-drive approach to charge capture
> Read now
An integrated, data-drive approach to charge capture
> Read now
An integrated, data-drive approach to charge capture
> Read now
An integrated, data-drive approach to charge capture
> Read now
An integrated, data-drive approach to charge capture
> Read now
An integrated, data-drive approach to charge capture
> Read now

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