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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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In case you missed them, below are links to recently created videos of our clients and staff, as well as links to recorded webinars. New Videos Our healthcare provider clients share their experiences and best practices using Experian Health’s solutions. Watch Now Chris Lah from Cincinnati Children’s Hospital shares his insight around healthcare reimbursement challenges. Watch Now Rachel Papka from Steinberg Diagnostic Medical Imaging Centers outlines her orders management challenges and how her organization has overcome them. Watch Now Karly Rowe from Experian Health highlights the importance of matching, managing and protecting patient identities to safeguard medical information and reduce risk. Watch Now Tony Murdoch from Experian Data Quality explains how Experian’s Data Quality Solutions can add value to our clients. Watch Now On Demand Webinars Patient Identification – The Challenges Healthcare Leaders and the Industry are Facing Today (HealthLeaders-hosted event). View Now (registration required) The Importance of Managing and Protecting Patient Identities (NAHAM-hosted event). View Now (registration required)  

March 13, 2017 by Experian Health

In its first year of consideration, Experian Health’s ClaimSource® solution garnered the 2017 Category Leader title for claims management. This was achieved by having products and customer support that address the top issues in Patient Accounting, including: Declining reimbursement making it more important to ensure accurate payments Slow payment from third-party payers Having to make analytics-based key financial and operational decisions Constantly changing governmental mandates and payer requirements Managing the move from fee-for-service reimbursement to value-based reimbursement The challenge of finding skilled resources The continual stress to do more with less The Experian Health ClaimSource product suite addresses these challenges first by providing excellent products that are all seamlessly interfaced and can provide exception-based processing for: Automation of processing clean claims through the use of an expansive library of national payer edits The ability and willingness to create provider specific custom edits Expediting the follow up process thru the use of enhanced claims status detailed responses Enabling more efficient processing of denials by analyzing denials reasons and automating workflow Automating the payment posting process with customized posting files for handling splits and contractual adjustments Providing the best interfaces available for Epic clients for both hospital and physician billing offices We follow that up by offering superior customer support for our clients. By leveraging our size, experience, and multiple locations in Sacramento, California and our new location in Schaumburg, Illinois, we support clients from Hawaii to New York to Alaska to Florida and everywhere in-between. These two offices allow our clients to get great hands on support for implementations, training, extensive custom programming, as well as experienced billing analysts with decades of billing knowledge. We always thought our claims products stood out against our competition, but now KLAS has validated that for us. Ask your Experian Health account representative or email us at experianhealth@experian.com to find out how we can help your business office address your specific needs.

March 3, 2017 by Experian Health

Why is missing coverage so detrimental? When patients are unable to pay, providers see an increase in self-pay receivables – 97% of hospitals reported an increase in self-pay receivables compared with the prior fiscal year. When providers can’t collect, the result is uncompensated care $35.7 billion – The amount of uncompensated care hospitals provided in 2015 (AHA, Dec 2016, http://www.aha.org/content/15/uncompensatedcarefactsheet.pdf) Registration errors and frequently changing insurance coverage contribute to an increase in self-pay receivables and bad debt: 20% error rate: Wastes an estimated $15.5B in claims that are never corrected and re-processed. Find previously unidentified coverage to reduce bad debt Experian Health’s Coverage Discovery® solution provides an efficient and trusted means for healthcare providers to reduce misclassified self-pay accounts. Our advanced self-pay engine maximizes the actionable coverage found for our customers across government and commercial payers, previously missed due to frequently changing insurances, data entry mistakes or patient misrepresentation to avoid high deductible health plans. The benefits to you: Make coverage identification more efficient Reduce number of accounts sent to collections & charity Maximize insurance reimbursement revenue Identify primary, secondary, & tertiary coverage Automate the self-pay scrubbing process What are our clients are saying about Coverage Discovery: [Video] Murry Ford, Grady Health System: “Coverage Discovery has brought in quite a bit of revenue for us—revenue that we would not have identified otherwise.” [Video] Mike Simms, Cone Health: “Since we’ve been using Coverage Discovery, we’ve received over $3 million in payments—more than a 300% ROI. It’s well worth every dollar spent.” Here’s why Coverage Discovery is different: Flexibility: Multiple delivery options easily fit Coverage Discovery into your revenue cycle Time matters: Find coverage on-demand Powered by Experian: Billions of data assets improve account specific intelligence and maximize found coverage Relevant: Confidence Scoring reduces data noise and removes potential false-positives to ensure staff time is focused on actionable accounts Uncover previously unidentified coverage with Coverage Discovery.

March 3, 2017 by Experian Health

Challenge: a disconnected healthcare ecosystem Exchanging information across the healthcare ecosystem and achieving interoperability is a goal and challenge all healthcare organizations share. While regulations such as the Affordable Care Act introduced incentives and requirements to drive adoption of electronic medical records, they also highlighted a critical gap in healthcare – a universal patient identifier. Impact: Felt downstream across your enterprise The lack of a universal patient identifier, compounded by data integration challenges and the increasing fluidity of patient data, has created significant issues downstream – billing errors, redundant treatments and testing, HIPAA breaches, incorrect administration of treatments and prescriptions, and more. These issues contribute to the pool of preventable medical errors, which is currently the number three leading cause of death in the United States. Solution: Universal Identity Manager Experian Health’s Universal Identity Manager (UIM) accurately identifies patients and matches records within and across disparate healthcare entities, creating a universal patient identifier to facilitate information exchange. Drawing on more than 40 years of experience managing universal identifiers across various industries and leveraging Experian’s consumer demographic information, the UIM achieves higher match rates than traditional industry solutions. Integration flexibility The UIM is integrated within eCare NEXT®, but also supports various API options. It can also be leveraged in conjunction with biometric and traditional Enterprise Master Patient Index solutions. Batch: Receives, processes, and loads patient demographic information via patient data file. Starting with an initial historical patient data file in batch is recommended. The UIM algorithm is applied to accurately identify duplicate records and assign a Universal Patient Identifier (UPI) that can be used to facilitate information exchange across different healthcare entities. The UIM Batch is currently being offered at no charge to the entire healthcare industry. Duplicate Merge Tool: Provides a workflow tool to address duplicate patient records identified through the UIM batch. The Duplicate Merge Tool encompasses robust access and issue assignment management, configurable merge strategies, customizable search and filter capabilities, comprehensive audit trails, and postback or file output options. Search & Duplicate Medical Record Number (MRN) Alert: Leverages in process scripting to perform a real-time search the UIM as patient demographic information is being entered into an HIS during registration. The optimized patient record for each potential patient match is returned. If the search is circumvented, a Duplicate MRN alert will be created within eCare NEXT and prompt manual user review. Real-time search can also be facilitated through a direct API integration. Experian Single Best Record: Leverages an algorithm to look across all linked patient accounts that exist within a client’s enterprise database and aliases and addresses from Experian’s demographic information and returns back a patient’s single best record by demographic field. Data Analysis: Offers standard, premium, and custom reporting options with detailed data analysis across your patient data file. Learn more about Universal Identity Manager here, or contact your account representative for more information.

March 3, 2017 by Experian Health

Sanford Health vetted four revenue cycle vendors to meet their challenges of manual collection processes, bad debt and low employee collection rates. They selected Experian Health largely based on ease of implementation with the Epic platform, products that required little intervention from Sanford’s IT department, a strong team of consulting resources and previous success with other Experian Health products. According to Mike Beyer, Director Patient Accounts, Sanford Health, “Collections Optimization Manager really allows me to segment out and find those patients that have the ability to pay; and to avoid chasing those who instead qualify for our Presumptive Financial Assistance/Charity program.” With Collections Optimization Manager, Sanford Health realized a total in-house patient collection lift of $40+ million since they first implemented in October 2014; with an average monthly lift is $2.3 million. Contributing drivers of this success: leveraging segmentation and Federal Poverty Level (FPL) within Collections Optimization Manager to determine Presumptive Financial Assistance and account routing to our new cloud-based dialer solution, PatientDial. Download the full case study Watch the video

March 3, 2017 by Experian Health

Use a unique patient identifier to protect patients and link records within and across healthcare systems

December 5, 2016 by Experian Health

Improve patient identification with Experian Health and NCPDP

November 29, 2016 by Experian Health

Below is a collection of some of most compelling article we’ve read in recent months. We hope you find these interesting, too! One Goal; One Contract: How a Nationwide Health Data Sharing Framework is Revolutionizing Interoperability https://www.himss.org/news/one-goal-one-contract-how-nationwide-health-data-sharing-framework-revolutionizing-interoperability   7 things to know about Aetna’s ACA exchange exit https://www.beckershospitalreview.com/payer-issues/7-things-to-know-about-aetna-s-aca-exchange-exit.html   5 steps to cybersecurity for Internet of Things medical devices https://www.healthcareitnews.com/news/5-steps-cybersecurity-internet-things-medical-devices    CMS: ICD-10 specificity kicks in Oct. 1, 2016 https://www.healthcareitnews.com/news/cms-icd-10-specificity-kicks-oct-1-2016   3 leadership skills crucial for a culture change http://www.beckershospitalreview.com/hospital-management-administration/3-leadership-skills-crucial-for-a-culture-change.html

August 22, 2016 by Experian Health

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7 reasons to invest in patient portals

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. Patient portals can mitigate the risks associated with increasing foot traffic by allowing patients to schedule and register for care without attending in person. Completing paperwork from home eliminates the need for patients to share clipboards or sit in stuffy waiting rooms, while online scheduling platforms enable staff to manage the flow of patients safely and efficiently. Remote patient monitoring, secure messaging and online prescription refill requests can also be managed via portals, further reducing the need for in-person visits. 2. They can ease pressure on understaffed teams Providers need to find efficient ways to handle the administrative workload that comes with higher patient volumes. It’s even tougher given increasing retirement and resignation figures. More nurses are embracing the occupational benefits of remote and virtual care and are opting to switch from high-stress facilities to telehealth positions. While this speaks to the growth and impact of remote healthcare, it leaves a gap to be filled in hospitals. Patient portals can alleviate some of the burdens by reducing the need for staff input at various points in the patient journey. For example, online scheduling reduces the number of calls to call centers. Pre-filled data and automated registration can reduce the risk of errors during patient intake, which are time-consuming to fix. Portals can also be used to help patients navigate the payments process, speeding up collections and reducing the time staff spend chasing payments. 3. Patient portals can address inefficient patient access workflows Because patient portals are tethered to the patient’s electronic health record (EHR), they provide a hub for every piece of data relating to the patient. Patients can access that golden record at any time. They get an engaging and transparent experience, and are less likely to call up to ask questions – they already have the answers. They can also check data to make sure that it’s accurate, which helps avoid the delays and misunderstandings that cause friction for patient access teams. It’s important to ensure that the portal itself doesn’t introduce friction. Patients need to be able to enroll in the portal without too much trouble. Automating the patient enrollment process and implementing a multi-layered identity-proofing solution can create a secure and efficient way for patients to get the most out of their portal, without compromising safety or efficiency. 4. To improve patient engagement and meet consumer expectations One of the biggest reasons to invest in patient portals is because patients say they want them. Research from Experian Health and PYMNTS found that 44.1% of patients have obtained test results through patient portals, while 18% used patient portals to fill out forms for their most recent healthcare visit. Overall, two-thirds said they use patient portals. Beyond offering a convenient patient experience, this is also a matter of patient loyalty and retention: 61% of patients say they’d consider switching providers to one that offered a patient portal, which could have a significant impact on revenue. 5. They can boost revenue by offering easy ways to pay Experian and PYMNTS research shows that around a fifth of patients uses their portal to make payments. Unfortunately, 16% of those patients said they’d faced difficulty viewing invoices, setting up payment plans and making payments through their portal, which suggests some room for improvement. Experian Health’s Patient Payment Solutions solves these challenges. A range of self-service, mobile-optimized tools simplify the patient financial journey by giving patients upfront pricing estimates, personalized payment plans and easy ways to pay. 6. Using patient portals can improve health outcomes (especially for “frequent flyers”) Patient portals also play an important role in promoting better health outcomes for patients. Research shows that when patients have access to their medical information, they feel empowered and prepared to speak to their doctor and adhere to care strategies. Multiple providers can engage with the patient through the same platform, and see what other treatments are being prescribed. This helps improve communication between the patient and provider and helps improve care management. It’s especially useful for older patients and those with chronic conditions. In this way, portals support effective care coordination, helping value-based care providers achieve their goals of reducing healthcare costs, promoting population health and closing the gaps in care that have widened over the last few years. 7. 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.

August 11, 2022 by Experian Health
Case study: Boost patient collections and scale patient scheduling with PatientDial

Discover how Dayton’s Children Hospital used PatientDial to boost collection rates and streamline patient communications.

July 6, 2022 by Experian Health
Deep diving into a successful healthcare revenue cycle flowchart

To ensure the patient’s financial journey goes ahead without a hitch, follow this 10-step healthcare revenue cycle flowchart.

June 22, 2022 by Experian Health
7 top healthcare revenue cycle challenges and how to overcome them

Healthcare revenue cycle challenges exist at every stage of the patient journey. Discover the top 7 and strategies to overcome them.

April 19, 2022 by Experian Health

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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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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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