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Experian Health was honored to host Frank Abagnale, one of the world’s foremost experts on identity theft, forgery, and embezzlement, during our #JointheConversation radio show at HIMSS17. You’ll know Frank from the great movie and book, Catch Me if You Can.  Frank has been a consultant to the FBI for over 41 years. He also developed a fraud detection technology called the 41st Parameter that Experian purchased in 2013 and it now operates in 80 countries around the world. Frank was honored to be selected by HIMSS this year to lead a presentation called “Stealing Your Life” where he focused on identity theft in healthcare and represented Experian Health to discuss this topic. His presentation focused on the significance of fraud in today’s healthcare world; illustrating the enormity of identity theft crimes and how they affect an individual’s life in many areas including health insurance, credit, income taxes including refunds, banking, just to name a few. Hear Frank’s assessment of healthcare’s susceptibility to breaches, the current state of cybersecurity, privacy and identity theft, as well as helpful strategies to personally avoid becoming a victim of identity theft. Listen to the complete podcast Learn about our Identity Management solutions

The future for patient engagement becomes more clear every time we go out and do focus groups with providers and their patients. And what we are hearing from our clients and providers is that 40% of all their patients are on charity and 40% are on payment plans. So you are looking at about 80% of their patients needing charity or payment plans. And a lot of that is manual processes inside of the provider. And we also heard from a lot of consumers and patients that there is confusion about how they can afford their care. Clearly the thing that is on the top of our minds given this rising out of pocket expenses, is how can we anticipate what a patient needs when they leave the hospital using the Experian credit data? And then how can we proactively reach out to that patient with something that could be an activation offer for their charity care or their payment plan immediately after their service? We feel is this is a much more compassionate approach than what happens today. Leveraging the Experian credit data to be more proactive and predictive is a much more compassionate approach that will shift the patient’s behavior instead of the scenario where that patient takes their statement for $500 and put it under the stack of their bills. That one size fits all approach is not going to work anymore. We are moving to a very personalized patient engagement strategy that is more aligned with the patients’ needs and then give the patient all the digital automation tools so they can go and automate it and be done with it very quickly and they can focus on their health. Listen to the complete podcast Learn about our Patient Engagement solutions

There has been a lot of uncertainty with regards to what the future holds for healthcare in the U.S., but the reality is that the move away from transaction-based services where providers are paid by transaction or by interaction with their patients, into a world where some of those services will be paid as bundles, is a reality. At Experian Health, our perspective is that there isn’t going to be one single form of payment. There isn’t going to be only fee for transaction or only fee for value type payments.  There is going to be a variety.  And our solutions can help providers handle that. When we talk to our largest providers, they want to make sure that they are prepared for the future of healthcare, and that their payment and revenue cycle is robust enough that they can handle whether it is a fee for transaction interaction with the provider or with the patient as well as fee for value. In order to do that, they have to optimize their operations. There is a lot of belt tightening happening in the industry and people are trying to see and understand how best to organize, how best to analyze and facilitate that payment cycle. We believe that data and analytics are two of the key ways to do that. Our software tools as well as the data that we embed into that software helps optimize the revenue cycle. Listen to the complete podcast

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.

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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