Streamlining patient access: How patient access technology is transforming the healthcare revenue cycle

by Experian Health 6 min read October 4, 2023

Is streamlining patient access with technology the key to improving revenue cycle management? Technology is already making intake, insurance verification, patient estimates, and other elements of patient access simpler. The same technology can also speed up and smooth out the healthcare revenue cycle: a goal many providers can get behind.

Victoria Dames, Vice President of Product Management at Experian Health, says, “Patient access is the first step in simplifying healthcare and revenue cycle processes. Trading in manual processes and disjointed systems for integrated software solutions can reduce errors, improve efficiency, offer convenience and transparency to patients, and accelerate the healthcare revenue cycle. For providers trying to choose between prioritizing revenue and patient experience, patient access technology can deliver on both.”

The digital transformation journey starts with patient access technology

Starting at the beginning with patient access makes perfect sense for providers who want to embark on their digital transformation journey. The early touchpoints in the patient experience, like patient intake and scheduling, not only set the tone but also lay the foundation for successful claims and collections in the future.

Patient access technology can help streamline patient access processes, making it easier for patients to receive accurate cost estimates, understand insurance eligibility and coverage, and work out payment strategies. Integrated patient access solutions—including automated registration and financial clearance with eCareNext®, and accurate patient estimates and mobile payment options with Patient Financial Advisor —deliver convenience to the patient while requiring less manual work and reducing data errors that can cause problems with billing and collections.

Dames says, “Patient access is where providers begin collecting data, confirming insurance eligibility, and providing accurate patient estimates. Completing these actions successfully at the beginning of the patient journey can facilitate payment and collections downstream. As providers continue their digital transformation journeys, improvements made in patient access enable further improvements in later stages of the revenue cycle: collections, claims management, and payer contracts.”

Streamlining patient access affects revenue cycle management

Efficiency in patient access has a direct impact on revenue cycle management. Here are three key areas where streamlining patient access can bring real improvements:

Efficient revenue management begins with good data

Up to 50% of denied claims originate in patient access. Manual intake processes are time-consuming for staff and carry the risk of human error. Staffing shortages put increased demands on workers, leading to an even larger potential for problems.

To add to the mix, patients may be increasingly likely to have incorrect information. Medicaid redetermination following the end of the COVID-19 pandemic is ending coverage—and creating confusion—for millions of patients. Job and coverage changes can translate to confusion over coverage and eligibility.

“Automation virtually eliminates human error, so providers get accurate patient information and standardized data they can use throughout an integrated revenue cycle,” says Dames.

Nearly 90% of patients want an accurate estimate; only 29% get one

Experian Health’s 2023 State of Patient Access survey found that nearly 90% of patients want an accurate pre-treatment estimate, but less than a third receive one. Although estimates are a requirement under price transparency laws, delivering an accurate estimate is difficult without the help of automated systems.

Dames says, “Patients are anxious about the cost of care, and they can’t estimate their own out-of-pocket costs. Accurate, transparent pre-treatment estimates are an important tool for building trust with patients. When providers offer real-time insurance verification and coverage information, they proactively help patients understand their own financial obligations. From there, providers can collect copays at the point of service and suggest options like payment plans or charity care, if appropriate.”

Automated processes and tools like Patient Estimates improve staff productivity and speed up collections. As staffing shortages continue, streamlining back-office tasks improves efficiency and reduces frustration. Valuable staff members have more time to do the complex human work of talking with patients and solving problems.

Real-world success story:

Blessing Health Systems oversees two hospitals, a college of nursing, and a charitable foundation with nearly 3,000 total employees. Like many healthcare providers, Blessing faced challenges, including registration errors, inaccurate patient estimates, and collection difficulties.

Blessing implemented an integrated suite of solutions including eCareNext®, Patient Estimates, Patient Self Service, Patient Statements, Payer Alerts, PaymentSafe®, Registration QA, and several financial clearance products. The results:

  • Point of service collections increased by more than 80%.
  • Clean claim rate increased from 63% to 90%.
  • Denials decreased by 27%.
  • Gross A/R decreased by an average of 28 days.

“[Blessing now has the tools needed] to be successful in one, user friendly application,” says Jill Stroot, Director of Patient Access at Blessing. An integrated patient access solution allows Blessing to capture and verify important insurance information and catch registration errors in real time, resulting in less manual work, less rework, and a faster, better revenue management process overall.

Best practices for implementing patient access technology

Most providers are looking to improve and accelerate the revenue cycle. Many, too, are looking toward digital transformation as a long-term goal. But that means many are balancing the need for system-wide transformation against current realities. Incremental change allows providers to advance the ball now while preparing for further opportunities in the future.

While providers weigh their options, here are a few best practices to help guide their thinking.

Prioritize

If doing everything at once isn’t possible, providers can start with the processes that will have the greatest impact.

  • Identify areas of greatest need.
  • Look for the greatest ROI.
  • Find quick wins that can be implemented with little change or investment.

Choose solutions that integrate now

Blessing Health Systems chose Experian Health solutions in part for their easy integration with Cerner. Finding solutions that integrate with existing systems is critical. Ultimately, solutions should also integrate throughout the healthcare revenue cycle.

Choose a partner for the long haul

Finding a technology partner that offers a full range of revenue cycle solutions—extending beyond patient access—helps ensure providers can continue their digital transformation journeys. Technology isn’t the only factor to consider: Support and consultation along the way can help providers make the right decisions and maximize the value of new solutions as they’re added.

How to improve the healthcare revenue cycle

Recent years have brought many new challenges to the healthcare space, but also new technology that can smooth out kinks in the revenue cycle. Providers that leverage patient access technology to deliver convenience and transparency to patients, and greater efficiency and cost savings internally, can look forward to better revenue cycle management while laying the groundwork for continued evolution.

Learn more about how Experian Health’s integrated suite of solutions can help with streamlining patient access.

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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. 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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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