Post Creation Test

During HIMSS17 in Orlando, Jason Wallis, Senior Vice President, Patient Access at Experian Health, sat down with IntrepidNOW to talk patient access and how Experian Health’s solutions help providers across the revenue cycle. Excerpt below: “We have the eCare NEXT platform that drives a lot of our integration and patient access products. So anywhere from orders, all the way back to collecting payment from the patients, so right identity, checking eligibility, authorizations, medical necessity, patient estimates and then a tool to collect payment from that patient for those estimates. …we’ve really taken this eligibility rail that has been pretty standard in the industry, and we’ve added a lot of content and innovation on top of those rails. So I almost call our clearing house a content network. So we drive more value in that transaction by normalizing, cleaning the data and enriching it with other data assets, so that downstream our clients and our products are better because of that advanced content. …our integrated platform takes this data and be able to start chaining products together, and deliver back to the provider an exception based workflow that really has their staff only looking and working when something’s gone wrong. And the more we can automate around products and even products chaining off of other products, so eligibility to notice of admission, we are able to remove some of those manual single point solutions because it’s integrated in a single workflow.” Listen to the full podcast Learn more about Experian Health’s patient access solutions and eCare NEXT platform  

Phillip Scott of NCPDP attended HIMSS17 and took some time to chat with IntrepidNOW about NCPDP’s strategic alliance with Experian Health and the benefits of a universal patient identifier. Below is an excerpt from that interview. “Well, I have to say with NCPDP’s reputation of neutrality is it’s been a key to our business, our business model. We bring all parties to the table. It’s big in collaboration and all of our standards and best practices come from a consensus building environment. Well, having said that, we have been looking for some time at a relationship that could create a unique patient identifier, at least our version of what that would be. We vetted a number of different companies and actually started working on this in 2013. The good fortune brought us in touch with Experian [Health], and we come together nicely, culturally. We both spent a tremendous amount of effort working for the common good, and the solution that Experian [Health] brought to our vision for what a unique identifier was made for a great opportunity there, and we’ve been very excited about that offering. That UPI, that universal patient identity, would go to that number and when they marry my prescription or my pharmacy benefits to my medical benefits. Then it can move over and move out of pharmacy and over into the health systems. So not only is it great service, it’s just fun to think about it. So our effort gives you 2 versions of a flavor, we as an American consumers are all about instant gratification, right? So this gives you instant gratification because Experian [Health]’s identifying the numbers and identifying those patients uniquely, and sending it back to you, that is an instant gratification.” Listen to the full podcast Learn more about Experian Health’s Universal Identity Manager solution

During HIMSS17, Experian Health’s Nicole Rogas, Senior Vice President of Sales, sat down with IntrepidNOW to discuss the healthcare industry, challenges providers are facing and women in health IT. Excerpt below. “…it’s an industry that changes consistently, and Experian Health has the data and the history to be able to arm both our clients, which our providers, and the consumer, which is the patient, with information to help them make better healthcare decisions. We are hearing more about it in IT and as well as other areas of healthcare really nationally. Women do play a very important role in the future of healthcare, and I think the focus on it now brings to light some of the sort of special issues and challenges we face as women that are very different than what man may face as they grow their career. …a lot of the challenges for our providers is to understand how to function as a business, and I know that that might sound crazy, but healthcare is always been a service, and most of our economies today, most of our people today believe that it’s really their right to (have) healthcare, and I think what’s happening is our healthcare providers are having to function more like a business organization to ensure that they are providing care at really great quality care, but in an efficient way. They are able to build and get reimbursed for that care, and then that they are able to arm their patients with the right information pre and post care to help keep them engaged in both their financial and their clinical journey. So I just think it’s a big time in our industry.” Listen to the full 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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