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by Krishna Nelluri 3 min read October 22, 2026

At A Glance

Revenue cycle management automation and artificial intelligence (AI) can help healthcare organizations reduce manual work, catch errors earlier and prioritize claims that need attention. Learn how revenue cycle teams can use AI-powered tools like Patient Access Curator and AI Advantage to support more efficient workflows.

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Healthcare organizations face ongoing pressure to identify every available source of insurance coverage and secure reimbursement for care already delivered. Coverage can change, become active or become discoverable after a patient receives care, creating the risk that eligible claims go unpaid. Providers need a stronger way to uncover missed coverage and protect revenue after the point of service.

Experian Health is helping address this challenge through its acquisition of eInsights, which serves more than 200 U.S. healthcare organizations and has helped clients recover more than $225 million in reimbursements. By expanding Experian Health’s insurance discovery capabilities beyond the front end of the revenue cycle, the acquisition helps healthcare organizations identify coverage that may otherwise be missed and recover reimbursements tied to care already delivered.

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Finding insurance coverage shouldn’t be a one-time event. A patient’s coverage can change or become discoverable after care is delivered, and when that happens, providers can miss reimbursement and patients can end up with bills they shouldn’t have received.

Experian North AmericaJason Considine, President of Experian Health
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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’s2025 State of Claims surveyfound 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, whileAI Advantage™helps teams predict denial risk and prioritize denial follow-up.

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More than 40% of patients surveyed skipped medical care in the early months of the pandemic, according to a recent study by researchers at the Johns Hopkins Bloomberg School of Public Health. Of those who needed care, 58% missed scheduled preventive care. Similar trends are observed in cancer screening, with appointments for breast, colorectal, and cervical cancers – in some cases dropping by around 80%-90% in March and April 2020, compared to 2019. Diagnostic testing for several cancers also plummeted, as did HPV vaccinations.   These trends aren’t unexpected: COVID-19 forced medical facilities to cancel or scale back services, while fear of infection and financial worries kept many patients away. But with most services operating at near-normal capacity again, and the vaccine program tipping the balance in favor of rescheduling care, preventative services are still lagging. Many patients remain reluctant to attend screening and wellness visits, despite the health risks associated with delaying care for potentially serious conditions.   Re-establishing a preventive care routine is essential. For patients, getting back on track with earlier diagnosis means more timely treatment and a better chance of recovery. It promises a better financial outlook for patients, payers, and providers alike, who all suffer higher costs when medical conditions escalate. And providers want to get their day-to-day business back on track to smooth out what has been a heavily disrupted workflow and revenue cycle over the last year.   Providers must reassure patients that returning to care is safe and necessary. Compassionate and personalized support will be key to making sure patients get the right care at the right time. Automated patient outreach strategies built on comprehensive patient data can help reverse the trends in forgone care.   How can data and automation support personalized patient outreach?   Kelly E. Anderson, one of the authors of the John Hopkins study, suggests that “physicians can mitigate some of the long-term harmful effects of this forgone care by proactively reaching out to patients who missed care, to try and reschedule the care either in-person or through telehealth.”   Automated outreach combined with easy patient scheduling platforms can help providers identify and invite healthcare consumers to get much-needed preventive care appointments back on track. For example:   Automation makes scheduling easy for patients and efficient for providers Online scheduling platforms allow patients to reschedule missed appointments at a time and place that suits them. A targeted outreach list of those patients most likely to need screening (for example, based on age, lifestyle, or health risk factors) can be used to send automated booking prompts and reminders by text message or interactive voice response (IVR). It’s simple and convenient for patients and reduces pressure on call center staff. Plus, it generates a wealth of useful real-time data on response rates to pinpoint areas for improvement.   With the right data, providers can direct patients to appropriate services For patients that can’t or prefer not to attend their usual healthcare facilities, directing them to telehealth services or alternative venues might be a good option. Similarly, patients with a medical or family history that suggests a higher risk of cancer ought to be prioritized for screening. But you can only do this when you know who those patients are, and what exactly they need. Social determinants of health can be a powerful tool to help providers determine a holistic view of patients’ clinical and non-clinical needs.   ConsumerView collates consumer data from over 300 million individuals, across multiple demographic, psychographic and behavioral attributes, so providers know more about the lifestyles and interests to be able to effectively resonate and engage. Data helps create a better patient financial experience Since many patients are worried about the loss of health insurance, outreach efforts might also involve pointing patients towards appropriate financial support. When socio-economic data reveals that a patient is struggling financially, providers can quickly check for missing coverage, offer tailored payment plans, and help obtain charity care if required.   Automated outreach can also deliver the upfront information about healthcare pricing that so many patients demand, and help staff collect faster patient payments by providing easy payment links through text and IVR campaigns. Consumer data can inform compassionate patient communications With the majority of patients opting out of scheduled appointments because of concerns about COVID-19 exposure, any invitation to reschedule care should offer plenty of reassurance about hygiene protocols. Some patients may need a gentle nudge to reschedule appointments, so if you can help them feel comfortable visiting facilities and tell them what to expect, they’ll be more likely to return.   Offering additional reassurance and support to communities who are traditionally underserved by healthcare services, or who have been harder hit by COVID-19, will be even more important. Best contact information, social determinants of health insight and ethnicity insight can support efforts to promote screening to groups who may face additional barriers to care.   With the right data, you can go beyond compassionate messages and choose an appropriate communications channel that’s the right fit for the consumer, too.   One thing that hasn’t been hindered by COVID-19 is the trend toward healthcare consumerism. Patients have a choice about which provider they use. Proactively supporting patients to catch up on missed care is a surefire way for providers to stand out as the easy choice.  

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COVID-19 provided an unexpected use case for patient portals. In a matter of weeks, the benefits of remote patient access were undeniable. Patient portals allowed patients to schedule, register and pay for care from the comfort and safety of home. Now, as the latest omicron sub-variant triggers another surge in case numbers, providers are again reminded of the value in making digital channels available to minimize face-to-face interaction. With staffing shortages continuing and patient numbers rising, it’s worth recapping the benefits of patient portals. Why should healthcare providers prioritize patient portals? Here are 7 reasons: 1. Patient portals can be used to communicate safely with patients as Covid-19 cases rise Health officials may be cautious about reinstating extreme measures in response to the latest wave of infections. However, they can’t afford to be complacent about an uptick in hospital admissions. 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Patient portals can support compliance with price transparency regulations Finally, portals offer a route to ensuring compliance with new regulatory requirements around price transparency. The No Surprises Act and hospital price transparency rule call on providers to give patients accurate, upfront cost estimates so they can plan for their financial responsibility more easily. Patient Payment Estimates can be delivered in several ways, including through patient portals. And as noted, once the patient has their estimate, they can also be directed to easy and convenient payment methods, including through their portal. Whether it’s a surge in COVID-19 cases, rising inflation, or labor shortages, providers must find ways to build resilience, stay competitive, and continue to offer patients the flexible and transparent healthcare experience they desire. Patient portals should be part of the plan to open the digital front door. Contact us to find out how Experian Health helps healthcare organizations deliver a reliable and secure patient portal experience.

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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.

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.

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Krishna Nelluri

Web Developer

I am a Web Developer 2 based in Herndon, Virginia. I specialize in designing, developing, and maintaining web applications, with a focus on delivering reliable, user-friendly, and scalable digital experiences. I enjoy solving technical challenges and collaborating with cross-functional teams to build high-quality solutions.

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Andy’s New WP Workflow Test Article Using Quick Edit

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.

October 2, 2026 by Andy.Monte@experian.com
Experian Health ranked #1 in Best in KLAS for 2025

Experian Health is very pleased to announce that we've ranked #1 in the 2025 Best in KLAS: Software & Services report, for our Contract Manager and Contract Analysis product, for the third consecutive year. Contract Manager, when paired with Contract Analysis, empowers healthcare providers by ensuring payers comply with contract terms, identifying and recovering underpayments, and arming them with real claims data to negotiate contracts. This enables providers to negotiate more favorable terms and maintain financial stability.  Clarissa Riggins, Chief Product Officer at Experian Health, says, “In the ever-evolving healthcare landscape, our Contract Manager solution has once again been recognized as the #1 Revenue Cycle Management tool by KLAS for the third consecutive year. This prestigious ranking underscores the significant value our solution delivers to our clients by identifying underpayments and facilitating revenue recovery. We are honored to continue supporting our clients with innovative solutions that drive financial success and operational efficiency.”  Learn more about how Contract Manager and Contract Analysis can help your healthcare organization validate reimbursement accuracy, recover underpayments and boost revenue.   Learn more Contact us

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