Improving front-end revenue cycle through prior authorization software

by Experian Health 6 min read September 11, 2023

Improving front-end revenue cycle through prior authorization software-blog

Too often, resource pressures force providers to treat revenue cycle management as a reactive process. But with avoidable denials leaving thousands of dollars on the table, fixing problems after the fact is often a more expensive strategy. Investing in prevention on the front end can help providers minimize the risk of future revenue loss. This article looks at how providers can use automated prior authorizations to drive front-end revenue cycle growth, and fix revenue leaks before the denial dam bursts.

Understanding the front-end of the revenue cycle

Revenue cycle management includes all the activities involved in making sure hospitals and health systems get paid for their services. The front end of the revenue cycle includes the non-clinical processes that take place before a patient receives care, broadly referred to as ‘patient access.’ This can be broken into four stages:

  • Scheduling and registering for care, including checking all patient information is current and correct
  • Verification of insurance eligibility and benefits, to ensure planned services will be covered by the patient’s plan
  • Obtaining prior authorizations, to prevent claim denials
  • Collection of co-pays and deductibles from patients before or at the point of service.

Billing and claims management workflows must be set up so patients, payers and front- and back-office teams can share the information needed to expedite reimbursement. Accuracy and efficiency are essential at each stage of the front-end of the revenue cycle to prevent bottlenecks, errors and delays down the line. The longer errors lurk in the workflow, the more opportunities they have to damage the health system’s financials.

Front-end errors lead to denied claims later and more work for back-end staff

Prior authorizations are a prime example: failure to secure the correct authorizations for treatment or services ahead of time can result in claims being rejected by payers. Time-consuming rework compounds the loss with hefty staffing and outsourcing bills. By the time the provider gets the amended paperwork in order, they’ve lost all leverage with the payer. It’s a major concern as denial rates increase.

Here are a few common prior authorization pitfalls to watch out for:

  • The patient provides incorrect insurance information, which means the provider may fail to seek authorization from the right payer
  • Inefficient operations and poorly defined processes allow inconsistencies and admin errors, such as wrong billing codes or misspelled names, to pass through the system undetected
  • Frequent changes to payer requirements can be missed, so providers are working with outdated information
  • Authorizations aren’t obtained for the patient’s entire treatment plan, leading to rework and treatment delays.

A survey by the Association for Clinical Oncology found that 96% of respondents had seen a patient’s care delayed because of prior authorization issues. Beyond these worrying harms to patients, the survey also revealed that 47% of practices spent more than 40 hours a week dealing with authorizations. Exploring solutions that will speed up prior authorizations can mitigate or eliminate these errors and delays.

Front-end revenue growth starts with efficient prior authorizations

As one of the top three reasons for denials given by providers in the State of Claims 2022 survey, prior authorizations are a logical target for front-end improvements. Prior authorization software helps providers get ahead of the above pitfalls by flagging authorization requirements early. Patient access teams can detect and resolve potential errors before they escalate, reducing the risk of rejected claims and appeals.

Neeraj Joshi, Director of Product Management, at Experian Health, says that one of the big struggles for healthcare providers is that the prior authorization process is often still manual:

“Automation has gained traction in many tasks within the revenue cycle, from patient access to claims management, but shifting to automated prior authorizations could offer one of the biggest returns on investment. Manual authorizations are time-consuming, error-prone and, all too often, a source of miscommunication. Shifting to automated authorization management can eliminate these obstacles and fuel revenue growth.”

Experian Health’s online prior authorizations solution automates 100% of inquiries, saving valuable staff time. Status checks happen without user intervention. Patient and payer data is auto-filled automatically, and users are guided through the workflow and prompted to make manual interventions only when absolutely necessary.

Users can have confidence in the accuracy of the pre-filled data because the tool taps into Experian Health’s Knowledgebase, which stores and updates national payer requirements in real-time. Users can also customize local and community rules, so no requirements slip through the net. By reducing costly denials and lowering labor costs, these set the stage for sustainable growth throughout the rest of the revenue cycle.

How online prior authorizations can improve end-to-end revenue management

Obtaining prior authorizations more efficiently is just the first step toward building a thriving revenue cycle. The promise of fewer denials might steal the headlines, but the benefits of automation resonate throughout downstream processes.

For example, an automated online system enhances wider pre-registration processes by giving staff real-time visibility into the likelihood of a treatment being authorized. Staff can verify approval instantly, rather than turning patients away at check-in. This also makes it easier to generate accurate, upfront estimates of what the patient will owe, so they can plan for their own financial obligations. A positive patient experience can lead to faster patient collections and higher retention rates, which both boost revenue growth in the long run.

Another ripple effect comes from the early verification of patient and payer information. These processes can surface data errors that, if left unchecked, could impede effective claims and billing workflows. This shows how a single authorization can have an outsized effect on overall revenue management performance – and why it’s so important to get authorizations right the first time.

Front-end efficiencies lead to a more predictable revenue cycle

Providers that choose to use prior authorization software can amplify the benefits by integrating it with other online and automated solutions. Experian Health’s prior authorizations tool fits seamlessly with the eCare NEXT® revenue cycle suite, which automates the entire revenue cycle workflow from insurance eligibility verification to secure patient payments. The interoperability of these tools means data can be shared from one system to another with ease, and reports can be generated and viewed on a single dashboard. With better data and analytics, users can make better predictions about their revenue cycle performance and find opportunities for further improvements.

Similarly, providers can leverage the predictive power of analytics with AI-based technology. Experian Health’s new AI-driven claims management solution, AI Advantage™, uses AI to predict claims that are likely to be denied, based on historical payment patterns. It checks for any undocumented payer adjudication rules, including prior authorization requirements, to make sure no essential information is missing before the claim is submitted. In a recent webinar on the future of claims management, Skylar Earley from Schneck Medical Center shared his experience with the new technology. He attributes the tool’s success to its ability to make increasingly accurate predictions:

“Since implementing this technology, we’re continuing to see AR days decrease at our organization. One result that we’re really excited about is seeing the number of authorized outpatient visits increase by about 2.5%. For anyone that deals with prior authorizations and denials related to prior authorizations, this is incredibly promising.”

As authorization requirements increase in volume and complexity, providers need to be proactive in their response. Automation and digital technology can arm providers with the data and tools they need to speed up prior authorizations and drive revenue growth from step one in the revenue cycle.

Find out more about how prior authorization software can support efficient front-end revenue cycle processes by creating opportunities to maximize cash flow from the start.

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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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