Healthcare runs on revenue

by Experian Health 5 min read July 25, 2018

As most doctors will say, healthcare is about helping patients, not making money. However, these two goals aren’t as separate as some would assume. In order to help their patients, healthcare providers need to buy equipment, pay salaries, and spend money to maintain an effective, efficient customer experience. Revenue is what makes healthcare work, so preserving revenue should be a main priority for healthcare administrators.

That’s how Stacy Calvaruso, assistant vice president of patient services and revenue cycle at Louisiana Children’s Medical Center (LCMC) Health, approaches her job. “Revenue preservation is a term that we use in our organization to talk about how we’re going to ensure that we’re maintaining all the money that we can possibly collect for the services that we provide for our community,” Calvaruso says. “Everyone is being asked to do more with less, and patient access or the revenue cycle is no different than the clinical areas. We have to ensure that we’re able to collect all the money and all the income that we generate as an organization so that we can put more money back into the community to provide more services to more patients.”

For help with revenue preservation, Calvaruso’s team uses Experian Health’s revenue cycle management tools. The full suite of Experian Health’s revenue management products help LCMC Health facilitate patient access, manage contracts, process and submit claims, and streamline collections. Here’s a closer look at how Experian Health approaches each stage of the revenue preservation process.

Patient Access

With 86 percent of leading medical practices seeing an increase in payer prior authorization, having accurate and comprehensive patient data is crucial to getting patients the treatment they need with fewer denials from insurers.

Experian Health can help by verifying patient information at the point of service. From there, automated software coordinates patient data across all connected facilities so customers, doctors, and insurers are better informed about possible treatment options and how much they’re likely to cost, eliminating any surprises in the payment or collections process.

According to Calvaruso, a transparent process helps to prevent repeated work, which is a major cause of revenue loss. “Instead of calling a patient after the fact about a denial or incorrect insurance information, we’re able to call them on the front end to let them know that we’ve verified their benefits, we know what the estimate of their out-of-pocket payment is going to be, we’ve talked to their doctor, and we’re ready for them to come and have these services,” she says.

Experian Health’s Patient Access tools make it quick and easy to find the right information and avoid miscommunications and delays that affect revenue preservation. Hospital staff will be grateful for the lightened workflow and improved outcomes for both customers and administrators.

Contract Management

One of the most common clogs in revenue collection comes from unclear contract management. Without the right data to analyze contract compliance, hospitals will struggle to get accurate payments from insurers and customers.

Calvaruso says that one of the cornerstones of her revenue preservation philosophy is reducing the avoidable denials; Experian Health’s contract management tools can analyze and audit contracts to ensure payer compliance and clarify anything that could lead to such a denial. Experian Health’s contract management tools also provide patients with more accurate estimates of treatment costs. One recent survey of 54 hospitals found that getting a price estimate is a frustrating process for patients; another poll found that 46 percent of younger patients aren’t paying their full bill at the point of service because they didn’t have an accurate cost estimate.

Having accurate contract management data can make a big difference at both the point of service and in later payment collections. Experian Health’s contract management tools can not only increase the revenue a hospital collects, but they can also improve the financial experience and build better relationships with customers and insurers.

Claims

Everybody makes mistakes, but given the amount of stress that healthcare providers are under, it’s more likely that they’ll make mistakes on routine paperwork like claims forms, which can lead to the kind of rework that hospitals loathe and that eats away at revenue.

On top of that, without a streamlined system in place, it’s often unclear where the initial problem occurred, which means administrators can’t correct the problem for next time. “We make sure we’ve done all the work in the beginning to prevent the rework,” Calvaruso says. “One way we can do that is by using that lean process that assists us with identifying where we can improve.”

Experian Health’s solutions helped Calvaruso develop that type of process. ClaimSource helps organizations prioritize the claims that need immediate attention, which saves time and reduces the number of tardy claim submissions. To avoid errors in the claims themselves, Experian Health’s Claims Scrubber® makes sure clean claims are submitted the first time, eliminating the dreaded rework.

Collections

Submitting new claims after denials is aggravating, but bad debt write-offs are even more harmful to revenue preservation — it’s money that the organization will never see, no matter how much more work is put in.

The only way to ensure accurate collections is to minimize the risk of denial in the first place. As Calvaruso says, a key component of preserving revenue is moving back-office work to the front end. For collections, this means accurately verifying patient identity and analyzing litigation risks.

Of course, not every situation can be accounted for, and there will always be issues with collections, Experian Health’s collections solutions make it easier for organizations to prioritize their past-due accounts and pursue them effectively.

No healthcare organization will ever receive 100 percent of the revenue it’s due, but taking the right steps to preserve revenue can mitigate much of the loss and keep things running smoothly. With healthy revenue management, healthcare providers can better help the people who need them most.

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Key takeaways: Revenue cycle teams can use automation to reduce repetitive work and apply AI where data-driven prediction, matching or prioritization can improve a workflow. Experian Health’s 2025 State of Claims survey found that 41% of providers now face denial rates of 10% or higher, while 68% say submitting clean claims is more challenging than a year ago. Patient Access Curator™ (PAC) uses AI to support front-end data validation and insurance discovery, while AI Advantage™ helps teams predict denial risk and prioritize denial follow-up. Artificial intelligence (AI) and automation can support administrative work in healthcare. In the revenue cycle, teams depend on accurate information, timely decisions and efficient follow-up to keep claims moving. In revenue cycle management, AI and automation can help organizations reduce manual checks, find data gaps, predict denial risk and prioritize work queues. These tools are most useful when they support staff judgment, payer expertise and compliance oversight. They can handle repetitive, data-heavy tasks so staff can focus on exceptions and decisions that need human review. In 2023, McKinsey & Company reported that research suggests effectively deploying automation and analytics could eliminate $200 billion to $360 billion of spending in U.S. healthcare. For revenue cycle leaders, the practical question is where to apply those capabilities first. The case for applying AI and automation in healthcare Revenue cycle teams juggle many daily tasks. Staff collect and verify patient information, confirm eligibility, identify the right payer, submit clean claims, monitor status, work denials and manage collections. Small data gaps at the beginning of the process can create downstream rework and delays. Rework also consumes staff time, adding to these operational pressures. As costs rise and revenue cycles tighten, there is increasing pressure to do more with less. Experian Health’s 2025 State of Claims survey found that 54% of providers say claim errors are increasing and 90% of claim denials are reworked with at least some human review before resubmission. Providers are also managing broader financial and administrative pressures. The American Hospital Association has reported that prior authorization requirements, claim audits, denials and other payer policies add administrative burden and cost for hospitals and health systems. These requirements also consume staff time to appeal denials and manage payer processes. AI and automation are different but complementary. Automation follows defined rules to complete repeatable work. AI models can identify patterns in data, predict risk and help teams decide where to focus attention. When used together, they can support more consistent revenue cycle workflows. How AI and automation can support revenue cycle workflows Revenue cycle management automation and AI are most useful when tied to a specific workflow and a measurable operational problem. The goal is to help teams act earlier, reduce avoidable rework and focus staff time where judgment is needed most. For example, automation can complete rule-based eligibility checks. AI can help identify claims with a higher likelihood of denial. In insurance discovery workflows, AI can also help identify coverage that wasn’t captured at registration. When these tools fit into existing workflows, they can support more consistent decisions and reduce manual work. Three practical applications include: 1. Improving front-end data quality with Patient Access Curator Patient and coverage information collected early in the revenue cycle can affect downstream claim outcomes. Incomplete or outdated demographic details, eligibility responses, coordination of benefits or Medicare Beneficiary Identifier information can create problems that lead to claim delays or denials later in the cycle. Experian Health’s Patient Access Curator helps prevent claim denials by validating demographics, eligibility, insurance discovery, coordination of benefits and Medicare Beneficiary Identifier data in seconds. PAC’s AI and machine learning capabilities help improve match accuracy, coverage sequencing and data confidence by writing the validated data back into the host system and sequencing payers before the claim is created. This automates work that would otherwise require manual coverage checks. 2. Using insurance discovery to find coverage not captured at registration When active coverage isn’t identified during registration, claims may be delayed or submitted with incomplete insurance information. Insurance discovery looks for coverage that may not have been captured during registration. Patient Access Curator includes insurance discovery as part of its front-end validation workflow. It can help identify and correct missing or incorrect insurance information so claims can be submitted with more complete coverage data. 3. Using AI to prevent and prioritize denials Even with strong front-end processes, some claims still require additional attention. AI can help claims teams decide which claims to review before submission and which denials to work first after payer response. Experian Health’s AI Advantage supports two denial management use cases:1. AI Advantage – Predictive Denials uses a client’s historical claims data and Experian’s knowledge of payer rules to identify claims with a high likelihood of denial before submission so teams can take corrective action.2. AI Advantage – Denial Triage uses AI to segment denials and identify those with the highest potential for reimbursement. This approach can help teams prioritize with more confidence. Rather than treating every claim or denial the same way, teams can use predictive models to focus on the work that needs the most attention. Potential benefits of AI and automation in the revenue cycle A high-performing revenue cycle depends on timely, accurate and consistent work. AI and automation can help providers modernize that work without losing the expertise of the people who manage complex payer and patient situations every day. When applied to the right workflows, these tools can help organizations: Reduce manual data searches that take staff away from higher-value work Improve front-end data quality before claims are created Identify missing or incorrect coverage information earlier Spot claims that may be at higher risk of denial Prioritize denied claims by potential reimbursement Reduce rework caused by inaccurate or incomplete information Give staff more consistent information for follow-up decisions A focused AI strategy starts with the workflow problem, uses data that is relevant to that problem and keeps staff in control of judgment-based decisions. A more proactive approach to revenue cycle management Revenue cycle teams can move from reactive work toward a more proactive approach: catch errors earlier, validate coverage before claims are created and prioritize the claims and denials that need the most attention. Experian Health offers revenue cycle solutions that use AI and automation in targeted ways to support front-end data quality, reduce rework and manage denials. Patient Access Curator supports registration and coverage validation, while AI Advantage supports denial prediction and triage. Learn more about Experian Health’s Patient Access Curator and AI Advantage.

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