Tag: patient access curator

Managing claims efficiently—and reducing denials—remains one of the biggest challenges for healthcare providers. Statistics reveal that 46% of denials are caused by missing or inaccurate data, as highlighted by Experian Health's 2024 State of Claims Survey. For providers, these denials translate into endless follow-ups with patients, staff burnout, rising bad debt (which has increased by 7% year-over-year), and slim revenue margins. Reworking a denied claim costs providers an average of $25 and hospitals $181—an expense that is difficult to justify. Introducing Patient Access Curator: Automated claims accuracy from day 1 Fortunately, there is now a way to ensure claims are processed accurately from the start, without excessive effort: Patient Access Curator (PAC), Experian Health's groundbreaking new tool that uses artificial intelligence (AI) to revolutionize the claims process. As a central component of Experian Health's Patient Access portfolio, this innovative solution automates front-end processes, identifies incorrect data upfront, and resolves inaccuracies in real time, preventing costly claim denials before they occur. Introduced in early 2024, the curation tool is getting the attention of revenue cycle leaders at health systems and laboratories, with good reason.  This article gives a run-down of Patient Access Curator and how it helps providers prevent claim denials in seconds.  Discover how leading organizations like Exact Sciences and Trinity Health have leveraged Patient Access Curator to automate eligibility, reduce denials, and transform their revenue cycles. Watch our pre-recorded session from the 2024 Experian Health High-Performance Summit to see Patient Access Curator in action. Watch now Built-in AI for more accurate data and seamless claims denial prevention Most issues that lead to denials crop up early in the revenue cycle, when information is missed or captured incorrectly during patient registration. For this reason, it makes sense to focus on denial prevention strategies  on the front end. With so much data to capture, manual strategies are bound to stumble. Unfortunately, many digital tools still require staff to check multiple payer websites and data repositories to verify insurance eligibility and check for any billable coverage that might have been missed. Patient Access Curator takes on these tasks seamlessly, and right within Epic workflows. From patient demographics and eligibility checks to coordination of benefits (COB) primacy, Medicare Beneficiary Identifiers (MBI), and insurance discovery, the system automates these essential processes, providing precise data within moments. This solution ensures data integrity from the moment of registration by replacing manual guesswork with advanced AI-driven technology. This reduces the frequency of denials, minimizes A/R write-offs, and curtails vendor fees. Beyond enhancing efficiency, the tool safeguards the financial health of healthcare providers.  Jason Considine, President of Experian Health, says, "Our mission is to simplify healthcare. Patient Access Curator's advanced AI technology equips providers to address claim denials more effectively and efficiently than ever before."  Say goodbye to manual work with instant eligibility and insurance verification Patient Access Curator simplifies operations for billing teams, healthcare staff and patients. By removing administrative hurdles, staff can focus on patient engagement, rather than spending time on paperwork, phone calls and browsing websites for data. The outcome is improved satisfaction for both healthcare providers and their patients.  "We know this technology is revolutionizing the healthcare industry," shares Jordan Levitt, Senior Vice President at Experian Health. Levitt, who developed the AI-powered data capture technology, explains, "By delivering faster, more accurate results, providers can improve financial solvency while giving staff and patients a better experience."  Gone are the days of asking patients for insurance cards or verifying numbers and dates that might be inaccurate. With this solution, registrars and billing teams can be confident in the data they collect, right from the start.  PAC was created to replace the manual guesswork that often bogs down eligibility and insurance verification processes. From patient demographics and eligibility checks to COB primacy, MBI, and insurance discovery, this solution automates these critical touchpoints, delivering accurate data in seconds.  Fewer denials, faster reimbursements  The impact on denial prevention is unparalleled. Patient Access Curator ensures fewer claim rejections and faster payer reimbursements by identifying and correcting bad data across eligibility, COB, and discovery at the start of the revenue cycle. Providers are left with more retained revenue, which can be reinvested into what truly matters: patient care.  Patient Access Curator: Key features that set it apart Patient Access Curator differentiates itself as a comprehensive, all-in-one product that simplifies the most complex aspects of claims management. Key features include:  Real-time data correction: Fixes inaccurate data instantly without staff intervention.  Comprehensive coverage: Finds and corrects bad data across eligibility, COB primacy, MBI, demographics, and insurance discovery.  Eligibility verification: PAC automatically interrogates 271 responses, flagging up active secondary and tertiary coverage information to eliminate coverage gaps Coordination of Benefits: Integrating with eligibility verification workflow, PAC automatically analyzes payer responses to find hidden signs of additional insurances that may be missed by a human eye, and triggers additional inquiries to those third parties to determine primacy, for faster COB processing  Medicare Beneficiary Identifiers: PAC uses AI and robotic process automation to find and fix patient identifiers so no one misses out on essential support Insurance discovery: For patient accounts marked as self-pay or unbillable, PAC automates additional coverage searches Demographics: The platform can quickly check and correct patient contact information.  Seamless integration: Automatically updates host systems (Epic) with verified and corrected coverage data in seconds.  The results? Fewer clicks, faster workflows, and more accurate billing processes. PAC doesn't just prevent claim denials; it transforms how healthcare teams approach patient access and revenue cycle management.  Proven ROI: How Patient Access Curator delivers $100 million boost to Exact Sciences Explore how Patient Access Curator powered a $100M improvement at Exact Sciences by automating insurance discovery and reducing claim denials. Improve financial health by focusing on patient health By eliminating redundant administrative questions, Patient Access Curator allows patients to focus on their health rather than the complexities of billing and coverage. Meanwhile, healthcare staff enjoy a boost in morale, thanks to fewer manual tasks and more efficient workflows—a benefit that can lead to higher staff retention over time.  Patient Access Curator is more than a tool; it's a game-changer for healthcare organizations looking to protect their revenue while delivering a better, more seamless experience for both staff and patients. Say goodbye to manual guesswork and hello to a smarter, faster, and more reliable way to manage claims. With PAC, healthcare organizations can finally get claims right from the start, without the hassle.  Patient Access Curator is available now - learn how your healthcare organization can get started and prevent claim denials in seconds. Learn more Contact us

Prompt patient payment after service is a key factor in keeping revenue cycles on track. However, patients don't always pay right away or in full. Despite around 90% of Americans having health insurance coverage, many patients still face medical debt. Unpaid patient bills often leave providers on the hook chasing patient collections and footing the cost for uncompensated care.   This article covers some of the key patient collections metrics to help revenue cycle leaders get insights on how to measure and improve revenue cycle collections.  Why measuring patient collections is critical in revenue cycle management  When protecting profits in today's increasingly challenging healthcare landscape, revenue cycle management (RCM) leaders know that “what gets measured, gets managed.” The first step to improve patient collections rates is reviewing current data for issues. To do this, healthcare organizations must identify key performance indicators (KPIs) for measuring patient collections in the revenue cycle. Patient collections metrics are quantifiable measures that illustrate if a healthcare organization is effectively optimizing its collections process. They provide RCMs visibility and insights that help indicate if the organization is achieving its goals and effectively managing inflows and outflows.   Key revenue cycle patient collection metrics  Streamlining revenue cycle collections often hinges on collecting patient payments — and quickly. Here are a few common ways healthcare organizations can measure patient collections in revenue cycles.    Days In Accounts Receivable (A/R) Rate - The days in Accounts Receivable rate is a metric that measures the average number of days it takes healthcare providers to collect payment for services — from both payers and patients. Lower days in A/R typically indicate an efficient billing and collections process. Days in A/R over 30 could lead to an increase in collections efforts, unloading to collections agencies, and even write offs to bad debt – all potentially resulting in cash flow issues and revenue loss.  Gross Collection Rate - The Gross Collection Rate, or GCR, shows the percentage of total patient balances collected and indicates the health of the overall effectiveness of an organization's billing and collections process. Healthcare providers generally strive to keep GCRs as high as possible to prevent cash flow issues. The industry benchmark is typically around 95%, but this can vary by provider.  Adjusted Collection Rate - Also known as the Net Adjustment Rate (NCR), this metric is shown as a percentage of the reimbursement healthcare providers collect in comparison to what they could have collected. It represents the amount of revenue healthcare organizations are losing, and a high NCR is typically an indicator of issues in the revenue cycle like uncollectible bad debt.  Patient Balance After Insurance Ratio - The Patient Balance After Insurance Ratio, or PBAI Ratio, is the percentage of financial responsibility that falls on the patient after insurance pays. Tracking PBAI Ratios closely helps providers identify trends early on to stay ahead of issues that could potentially impact cash flow. As today's patients shoulder more self-pay costs, keeping tabs on this metric can help providers prioritize billing and collections that are compassionate and simple to access.   Patient Contact Rate - The Patient Contact Rate measures how often a provider contacts patients with outstanding balances. Higher Patient Contacts Rates typically indicate high levels of engagement with patients about their unpaid bills that often leads to an easier collections process and improved cash flow. When Patient Contact Rates are low, providers may have an opportunity to increase patient communication efforts. Bad Debt Rate - The Bad Debt Rate shows providers how much patient debt goes uncollected and is written off as “bad debt” over a period of time. A high Bad Debt Rate often indicates a need to tighten up process improvements, like collecting more patient patients upfront. A good rule of thumb is to aim for a Bad Debt Rate of less than 5%. The lower the rate, the more efficiently the billing team collects patient balances. Cost to Collect - The cost to collect is a percentage-based metric that refers to the expenses healthcare organizations spend to recover payments from patients and payers. Many times, hospitals spend more to collect than what the patient owes, whether it's from time and resources calling unresponsive patients, paper statements sent to wrong addresses, etc., which makes this an important metric to track. Contingency Fees - When healthcare organizations turn to third-party agencies for their collections, a contingency fee is often paid for their services. This fee is usually a percentage of what the third-party agency is able to recover, and is often around 20-50% of the total amount. Some healthcare organizations work with multiple collections agencies, which can strain hospital cash flow even further. Hospitals must weigh the cost of outsourcing collections against maintaining in-house billing departments.  Strengthening the revenue cycle with effective patient collection metrics  Optimizing patient collections metrics helps strengthen the revenue cycle. Here are some strategies revenue cycle leaders can consider to help boost patient collections rates overall, improve patient engagement and lower bad debt rates:  Improve patient communication: Sometimes patients need additional reminders to pay their bills. Providers looking to raise their Patient Contact Rate might benefit from engaging more with patients. Strategies can include making additional phone calls or  sending monthly billing statements. Healthcare organizations that want to scale patient contact without adding to headcount may also benefit from tools like Patient Outreach Solutions, which increases collections through automated solutions like touchless text messaging, queue callback and bill reminders.   Make it easier for patients to pay: Providers can shorten the amount of time it takes to collect payment from patients by implementing billing and collections processes that make it simple for patients to know costs up front and pay their bills. With a solution like PatientSimple, patients get access to self-service account management tools, like secure self-pay and patient estimates. Tools that automate the payment process, like Experian Health's PaymentSafe®, further enhance the payment experience by helping providers collect more revenue earlier and creating a seamless payment experience.   Utilize data and analytics solutions to optimize patient collections: Experian Health's Patient Access Curator solution uses artificial intelligence (AI) to quickly verify patient insurance eligibility and coverage data in real-time. This can help ensure patient estimates and bills are accurate before the patient collections process even begins.  Segment and screen patients by propensity to pay: During the patient collections process, Collections Optimization Manager helps identify high-value patient accounts and screen out bankruptcies, deceased accounts, Medicaid and other charity eligibility in advance. This solution segments patients by propensity of pay scores, and reduces the cost to collect. The Screening component of Collections Optimization Manager alerts staff to accounts that are not worth collecting from – whether it's a deceased or bankrupt, or charity care account. This saves valuable staff time and resources. Discover how Weill Cornell increased collections by $15M with Collections Optimization Manager. Gaining clear visibility in patient collections metrics  Patient collections metrics data must be current and easily accessible in order to provide healthcare organizations with the most valuable insights into billing and collections challenges and opportunities. However, RCM analysts are often tasked with compiling data from numerous legacy processes and disjointed systems. Bringing together critical patient collections information into a revenue cycle dashboard can help revenue cycle leaders track the KPIs that matter most and show changes over time. This visibility into trends can help RCM understand how what areas of patient billing and collections need the most attention to improve patient communication, create workflow efficiencies and reduce revenue leaks.  Learn more about how Experian Health's collections optimizations solutions can help healthcare organizations improve collections and increase their bottom lines.  Learn more Contact us

Key takeaways: Error-prone manual processes are a top reason for delayed reimbursements. Automation across the revenue cycle can help providers see quicker reimbursements. Many processes can be automated: patient estimates, eligibility verification checks, collections, claims management, and more. Prompt reimbursements are crucial for today's healthcare organizations. Delayed reimbursements can lead to a domino effect that impacts the entire revenue cycle. Provider productivity goes down along with quality of care, patients have poor experiences and the bottom line takes a hit. Reimbursement delays often stem from error-prone, outdated manual processes, overburdened staff and excessive administrative work. However, incorporating revenue cycle management automation can help providers overcome numerous reimbursement challenges and improve processes overall. With revenue cycle automation, providers can eliminate many persistent pain points in traditional revenue cycle management (RCM). Staff no longer lose time to tedious manual tasks, patients get their queries answered faster, and managers get the meaningful data they need to drive improvements. And the biggest win? It's easier for providers to get reimbursed for their services, faster and in full. What is revenue cycle automation and how does it work? Healthcare revenue cycle management knits together the financial and clinical components of care to ensure providers are properly reimbursed. As staff and patients know all too well, this can be a complex and time-consuming process, involving repetitive tasks and lengthy forms to ensure the right parties get the right information at the right time. This requires data pulled from multiple databases and systems for accurate claims and billing, and is a perfect use case for automation. In practice, revenue cycle automation involves using technology to complete tasks and processes that may have previously been manually completed. These tasks might include: Automatically generating and issuing invoices, bills and financial statements Streamlining patient data management and exchanging information quickly and reliably Processing digital payments Collating and analyzing performance data to draw out valuable insights. Understanding the challenges in traditional revenue cycle management When it comes to delayed reimbursements, providers lacking revenue cycle management automation typically face the following challenges: Inefficiencies in patient access According to The State of Patient Access 2025, front-end operations are still a source of friction for patients and providers. Four out of the five top patient access challenges reported by providers relate to front-end data collection. Top concerns include insurance searches, reducing errors, and speeding up authorization. Nearly 48% say data collected at registration is “somewhere” or “not” accurate, while 85% report an urgent need for faster, more comprehensive insurance verification. Rising claim denials due to manual errors The State of Patient Access also showed that manual, error-prone processes often lead to delays, claim denials and patient frustration. In fact, more than half (56%) of providers say patient information errors are a primary cause of denied claims. When claims are denied, reworks are often time-consuming, costly and place additional burdens on already overworked staff. Difficulty in managing patient collections Due to rising costs, confusion over estimates and a lack of patient payment options, providers are often left to deal with unpaid medical bills. According to Experian Health data, 29% of patients say paying for healthcare is getting worse. Affordability is a key factor, but patients are also struggling to understand how much their insurance covers and looking for convenient payment options, like payment plans. Download The State of Patient Access 2025 report for a full run-down of patient and provider views about access to care. Six ways revenue cycle automation accelerates reimbursements Revenue cycle improvement through automation can help speed up reimbursements for healthcare providers by: 1. Capturing accurate information quickly during patient access Gathering patient data manually is time-consuming. Errors in the process can lead to denied claims and roadblocks in patient care. Tools like Experian Health's Patient Access Curator use artificial intelligence (AI) to streamline patient access and billing, improve data quality and address claim denials from the outset. This solution also ensures that all data is correct on the front end by checking eligibility, coordination of benefits (COB), Medicare Beneficiary Identifier (MBI), demographics and insurance discovery. 2. Simplifying collections and focusing on the right accounts Healthcare collections are a drag on resources. Automating the repetitive elements in the collections process helps reduce the burden on staff. Collections Optimization Manager leverages automation to analyze patients' payment histories and other financial information to route their accounts to the right collections pathway. Scoring and segmenting accounts means no time is wasted chasing the wrong accounts. Patients who can pay promptly can do so without unnecessary friction. As a result, providers get paid faster. 3. Reducing manual work and staff burnout Chronic staffing shortages continue to plague healthcare providers. In Experian Health's recent staffing survey, 96% of respondents said this affected payer reimbursements and patient collections. While automation cannot replace much-needed expert staff, it can ease pressure on busy teams by relieving them of repetitive tasks, reducing error rates and speeding up workflows. 4. Maintaining regulatory compliance with minimal effort While regulatory compliance may not directly influence how quickly providers get paid, it does play a crucial role in preventing the delays, denials and financial penalties that impede the overall revenue cycle. Constant changes in regulations and payer reimbursement policies can be difficult to track. Automation helps teams continuously monitor and adapt to these changes for a smoother revenue cycle, often with parallel benefits such as improving the patient experience. One example is Experian Health's price transparency solutions, which help providers demonstrate compliance with new legislation and provide extra clarity for patients. 5. Improving the end-to-end claims process Perhaps the most apparent way RCM automation leads to faster reimbursement is in ensuring faster and more accurate claims submissions. Automated claims management solutions, like Experian Health's award-winning ClaimSource®, reduce the need for error-prone manual processes, while improving accuracy and efficiencies in the claims editing and submission process. Additional claims management tools, like Claim Scrubber, also help providers submit more complete and accurate claims. Other tools, like Denial Workflow Manager, can be used if claims are denied. With automation and its extensive data analysis capabilities, work lists are generated based on the client's specifications, like denial category and dollar amount, to identify the root cause of denials and improve upstream processes to prevent them. And as artificial intelligence (AI) gains traction, providers are discovering new ways to use technology to improve claims management. AI Advantage™ uses AI and machine learning to find patterns in payer behavior and identify undocumented rules that could lead to a claim being denied, alerting staff so they can act quickly and avert issues. Then, it uses algorithmic logic to help staff segment and rework denials most efficiently. Providers get paid sooner while minimizing downstream revenue loss. 6. Providing better visibility into improvement opportunities Finally, automation helps providers analyze and act on revenue cycle data by identifying bottlenecks, trends and improvement opportunities. Automated analyses bring together relevant data from multiple sources in an instant to validate decisions. Machine learning draws on historical information to predict future outcomes, so providers can understand the root cause of delays and take steps to resolve issues. A healthcare revenue cycle dashboard is not just a presentation tool; it facilitates real-time monitoring of the organization's financial health, so staff can optimize workflows and speed up reimbursement. Embracing automation for a more efficient revenue cycle Like any business, healthcare organizations must maintain a positive cash flow to remain viable and continue serving their communities. Revenue cycle automation strategies can cut through many of the common obstacles that get in the way of financial stability and growth and speed up reimbursements. Learn more about Experian Health's revenue cycle management technology and see where automation could have the biggest impact on your organization's financial health. 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Revenue cycle management (RCM) plays a central role in healthcare, influencing both patient access and the financial well-being of providers. As healthcare organizations navigate growing costs, shifting patient expectations, and increasingly complex administrative tasks, they're finding themselves at a crossroads. Experian Health's State of Patient Access 2025 report offers a look at these challenges from the views of patients and providers, while showcasing how technology is changing the way we approach patient access and revenue cycle operations. In this interview, Clarissa Riggins, Chief Product Officer at Experian Health, shares key takeaways from the report, offers actionable solutions for providers, and outlines trends that are set to shape the future of RCM.  Q1: "Let's start with the big picture. What's going on with patients' access to healthcare right now?" Riggins says, "It's stabilizing, which is a good sign. According to The State of Patient Access 2025, 68% of patients and 43% of providers say access has stayed the same. That's the highest it's been since 2022. Only 15% of patients said it's gotten worse, and that's the lowest number we've seen in a few years."  Q2: "That's reassuring. But there are still challenges, right? What are patients struggling with most?"  "The number one issue continues to be wait times," explains Riggins. "About 25% of patients said getting in to see a provider quickly is still a major hurdle. On top of that, 22% reported delays because of insurance verification, and 20% said they ran into problems with errors in their medical records or billing information. So, while some things have improved, there are still gaps to close.”  Q3: "You mentioned insurance verification. How much of a barrier is that?" "It's a big one," she says. "When insurance verification isn't seamless, it creates a domino effect. That 22% figure I mentioned, those are people who had to wait for care because their insurance details weren't sorted out. Automating that part of the process can make a huge difference in getting people the care they need faster.” Q4: "Are digital tools making a difference in these areas?"  "They have the potential to, but adoption is a challenge. 37% of providers said one of their biggest obstacles is getting patients to actually use the tools available. And 55% said patients don't know how to navigate self-scheduling. We're seeing some resistance, but it's not because the tech isn't there. It's more about awareness and ease of use. She continues, "For example, going back to insurance eligibility, Experian Health's Patient Access Curator uses artificial intelligence (AI) to automatically check coverage in real time. This helps providers confirm benefits instantly and spot issues early. That kind of automation takes the guesswork and delays out of the equation, so patients can get the care they need without unnecessary holdups. It's not just more efficient for staff; it literally speeds up access to treatment."  Q5: "Let's talk about cost. How is that affecting access for patients today?"  “Cost is a major pain point," she explains. "The report shows that 34% of patients say they often struggle to pay for healthcare. That number is up from 23% last year. And nearly all patients, 95%, say they at least sometimes have trouble paying. It's clear that affordability is still one of the top reasons people delay care."  Q6: "What can providers do to improve the payment experience for patients?"  “It starts with transparency. Patients want to know what they'll owe before they get care. When 81% of patients say they feel more prepared after receiving an accurate estimate, it shows just how critical that upfront information is," Riggins notes. "Experian Health's Patient Estimates solution was built around this need. It allows providers to give patients clear, personalized cost estimates before they receive care, helping them feel informed and in control." "And 43% said they would consider canceling or postponing care if they didn't get that information," she continues. "That's huge. It proves this isn't just about convenience; it's about access. These tools help patients avoid financial surprises, which can be the deciding factor in whether they follow through with treatment." “This solution isn't just making billing easier. It's directly supporting better health outcomes by making care more accessible and less intimidating financially."  Q7: "So, it's not just about having the tools. It's about how they're used?"  "Exactly. Providers need to make sure the tools are easy to use and that patients understand how to use them. That means clear instructions, mobile-friendly interfaces, and support when people get stuck. If the experience feels complicated, people just won't engage." Q8: "What are patients looking for when it comes to better access?"  "Patients are very clear. They want convenience," Riggins says. "According to The State of Patient Access 2025 report:  82% don't want to complete forms multiple times if their information hasn't changed  80% want to be able to schedule appointments from their phone (via a browser or an app)  77% want a heads-up on insurance coverage before treatment  52% want more digital options, period  So, if providers listen to these preferences and meet patients where they are, access improves naturally."  Q9: "What about billing and patient record issues? How can providers avoid those mistakes?"  "Strong data practices are key. That means better systems to catch errors before they become problems, regular staff training, and giving patients the chance to double-check their records. Adding tools like Patient Access Curator can really make a difference. It uses artificial intelligence to handle a bunch of tasks all at once – eligibility checks, COB, MBI, demographics, and insurance discovery. By automating tasks that are traditionally performed by human staff, healthcare organizations can save time associated with administrative intake and coverage verification. This also means solving for bad data in real-time, which can help prevent billing and claim errors in the long run.  Clean data makes everything easier, from billing to insurance verification to patient trust," Riggins concludes.   Patient access is evolving, but not without its challenges. As the State of Patient Access 2025 report highlights, stability is improving, but issues like price transparency, low adoption of digital access tools and insurance verification continue to create friction. The path forward lies in listening to what patients are asking for: easy-to-use digital tools, clear pricing, and fewer administrative headaches. By utilizing automation and AI, providers can streamline access and build stronger, more trusted relationships with their patients.  Learn more about how Experian Health can help healthcare organizations improve patient access, and download the report for the full survey results.   Download now Contact us

Healthcare providers have heard it before – high employee turnover and the constant need to train on new solutions can severely impact the efficiency of revenue cycle management (RCM) teams. As denials increase, the resources required to address them grow, putting additional strain on healthcare providers and their teams.  For decades, manual claim management has been the cornerstone of revenue cycle operations. However, with shifting payer algorithms, higher patient volumes, and evolving insurance coverages, this approach is no longer sustainable. Getting the highest percentage of claims paid with the exact amount of human capital is unachievable. Many health systems can't keep up, and RCM teams are experiencing burnout. There is a glaring need for the rapid adaptation of automation to improve front-end data collection, where reducing errors can have the highest impact on claims, and the teams responsible for them. According to Experian Health's latest State of Patient Access survey, 56% of providers say patient information errors are a primary cause of denied claims, 48% report inaccuracies in data collected at registration, and 83% emphasize the urgent need for faster, more comprehensive insurance verification.  Front-end operations are a major source of friction. Four out of the five top patient access challenges reported by providers relate to front-end data collection, including improving insurance eligibility searches, reducing errors and speeding up authorizations. Is it any wonder that these actions are typically performed by hard-working and taxed humans?   These inefficiencies don't just slow down internal workflows. Manual, error-prone processes lead to delays, claim denials and patient frustration, not to mention low morale with revenue cycle teams trying to find the errant data. Providers note that staffing shortages are compounding the problem, which suggests that tackling front-end workflows would be a strategic operational win.  How Patient Access Curator enhances revenue cycle efficiency  What if providers could take that manually laden process, integrate automation, and allow their staff to apply their revenue cycle experience, equity and strategic thinking in the right place?   Patient Access Curator (PAC) uses automation and artificial intelligence (AI) to streamline patient access and billing, address claim denials and improve data quality without the need for human intervention. This integrated solution performs rapid eligibility, coordination of benefits (COB), Medicare Beneficiary Identifier (MBI), demographics and insurance discovery checks to ensure that all data is correct on the front end, freeing teams up to focus on more strategic tasks.   It doesn't require the long training requirement of standalone products; it fits seamlessly into existing EHR systems, and works directly within the system, with no need for drawn-out onboarding programs.   According to one of the early adopters of the Patient Access Curator, their revenue cycle team is already seeing – and feeling – the results of automation.   A Senior Director of Revenue Cycle at a large Midwestern health system says, “One of the primary reasons we chose the Patient Access Curator was because it makes the normally manual work of revenue cycle much easier, which in turn improves productivity, empowerment and morale. Registrars are now able to make determinations right within the system. It's easy to use.” With so much data to capture, manual strategies are bound to stumble and apply downward pressure on those tasked with high-volume work. Patient Access Curator removes the need for manual checks on multiple payer websites and data repositories to verify insurance eligibility, and checks for any billable coverage that might have been missed. Experian Health's industry-leading claims management products are designed to simplify these processes. The  newest denial prevention technology  strengthens this suite with capabilities previously unavailable.  Efficient claims management with artificial intelligence and automation  Patient Access Curator captures and processes patient insurance data at registration using an “if-then” logic that returns multiple data points from a single inquiry, in seconds. Registration staff can leverage this technology to collect and verify much of the information they need to compile an accurate claim, with just a single click. In a matter of seconds, they'll have a comprehensive readout of:  Eligibility verification: PAC automatically interrogates 271 responses, flagging up active secondary and tertiary coverage information to eliminate coverage gaps Coordination of Benefits: Integrating with eligibility verification workflow, PAC automatically analyzes payer responses to find hidden signs of additional insurances that may be missed by a human eye, and triggers additional inquiries to those third parties to determine primacy, for faster COB processing Medicare Beneficiary Identifiers: PAC uses AI and robotic process automation to find and fix patient identifiers so no one misses out on essential support  Insurance discovery: For patient accounts marked as self-pay or unbillable, PAC automates additional coverage searches Demographics: The platform can quickly check and verify patient contact information Patient Access Curator achieves such speedy results “because the underlying code acts like a Rosetta Stone, automatically translating the language of the user and the health system into the terms required by the payer,” says Jordan Levitt, Senior Vice President of Experian Health. “This means data can be transferred easily between interfaces.” Hear how Columbus Regional Hospital has used the Patient Access Curator to simplify and streamline its revenue cycle operations. With Patient Access Curator, better data adds up to increased revenue cycle efficiency, along with the following:   Reduced errors: Automation minimizes human intervention in repetitive tasks.  Faster processing: Automated systems can handle large volumes of claims and payments much faster than manual processes, accelerating the reimbursement cycle, improving cash flow and reducing delays in revenue collection.  Enhanced compliance: Automation tools like Patient Access Curator are continually learning from inputs, and adapt to stay up-to-date with evolving regulatory requirements and payer policies. This ensures that claims are compliant, reducing the risk of denials and costly rework.  Improved denial prevention: Patient Access Curator identifies patterns in historical claim data, flagging or fixing potential errors before submission. This proactive approach helps in preventing denials and optimizing revenue recovery.  Streamlined workflows: Automation frees up staff from mundane tasks, allowing them to focus on strategic initiatives such as patient engagement and financial planning. This leads to more efficient use of resources and improved overall productivity.   At a time when revenue cycles are under increasing pressure from changing payer rules, labor dynamics and operational constraints, this new solution offers a long-awaited boost to both reimbursement rates and productivity. Patient Access Curator is available now – learn how it can help healthcare organizations boost revenue cycle efficiency and prevent claim denials in seconds. Learn more Contact us

Claim denials are skyrocketing, and so are revenue cycle leaders' stress levels. In our most recent State of Claims survey, 54% of respondents said their current claims technology is sufficient to address existing revenue cycle demands at their organizations. However, that number was 77% just two years ago. That's because denial management has long been a reactive strategy. Many organizations focus on addressing claim denials after services are rendered and information is sent to payers. However, this approach often leads to increased labor costs, delayed reimbursements, and a higher volume of denied claims. It's time for a paradigm shift towards claim denial prevention, a proactive strategy that addresses potential issues before they result in denials. To prevent claim denials, go on the defensive Jordan Levitt, Senior Vice President at Experian Health, sees it as playing defense. “We use a term called 'Perimeter Defense' - get the patient's information right on the front end, before it gets into the system,” says Levitt. “Denials are happening because incorrect or bad data gets in early, costing health systems time - and money – to fix on the back end. The mindset is moving from management to prevention.” The legacy denial management approach being used today involves significant manual intervention, including correcting errors, resubmitting claims, and appealing denials. The result is a costly and time-consuming process that diverts valuable resources from more strategic tasks. Denial prevention, on the other hand, focuses on addressing potential issues at the front end of the revenue cycle. By ensuring that claims are accurate and complete before they are submitted, organizations can significantly reduce the volume of denied claims. This proactive approach not only accelerates cash flow but also reduces the burden on billing staff and lowers contingency vendor fees. Bad patient data is like a virus “There's a revenue cycle adage often referred to as 'Know Thy Patient,'” says Levitt. “With the Denial Prevention philosophy, at registration and scheduling we need to know exactly who they are (e.g. John Smith or Jonathan Smith?), where they live, and how to reach them, in addition to all of their coverages, the order of billing - everything.” The inherent problem today, he continues, is that the first time incorrect or outdated patient data is ingested into a health system, it proliferates throughout the entire system. Electronic health records are great at keeping patient data together for a health system, but they don't distinguish between good data and bad data. It's all just data. “Whether a patient is coming by way of a physician's office, a business office or residence and the information is wrong, it populates throughout an integrated system - hospitals, urgent care, labs,” says Levitt. “Once you let bad data in the door, regardless of the origination point, it's like a virus. Each time that happens and you're building the work queues and you're building buckets of contingency funds if you can't solve it at the start of the process. Every action you take once bad data enters your system is wasting resources.” Fixing poor data on the front end is the key to preventing claim denials That seems like an obvious solution. However, throwing more people at the problem isn't the right answer when technology that is faster, more accurate and fully integrated into workflows is available. Solving for incorrect or missing eligibility, insurance coverage, Medicare Beneficiary Identifier (MBI), demographics and continuation of benefits is readily available with just a simple click. Experian Health's Patient Access Curator is a robust revenue cycle solution designed to prevent claim denials at the front end. It addresses bad data quality with real-time data correction, performing eligibility checks, coordination of benefits (COB), Medicare Beneficiary Identifier (MBI), demographics, and discovery in a single solution. With a single click, Patient Access Curator ensures quick, accurate registration and scheduling, significantly reducing denial volumes and billing errors, including: Eligibility Verification: Automatically interrogates 271 responses to indicate any secondary or tertiary coverage data. Coverage Discovery: Works behind the scenes to minimize the cost of insurance discovery and streamline workflows, often generating additional insurance revenue missed by previous processes. MBI Correction: Continuously finds and corrects MBIs using artificial intelligence (AI), in-memory analytics, and robotic process automation. Demographic Updates: Automatically identifies obsolete or inaccurate data using proprietary algorithms. COB Analysis: Analyzes each payer response in real-time at the point of service and integrates directly into the eligibility verification process. Benefits of claim denial prevention By successfully transitioning to a denial prevention strategy, revenue cycle teams can: Reduce denial volumes: By addressing issues before claims are submitted, organizations can significantly reduce the volume of denied claims. Lower labor costs: Automation and real-time data correction reduce the need for manual intervention, allowing staff to focus on more value-added tasks. Accelerate cash flow: Faster, more accurate claims submission leads to quicker reimbursements and improved cash flow. Enhance patient satisfaction: Accurate and timely claims processing reduces the need for patient follow-up and improves overall patient satisfaction. Beyond denial management: The strategic shift to claim denial prevention The transition from claim denial management to denial prevention represents a significant shift in how healthcare organizations approach revenue cycle management. By focusing on proactive strategies and leveraging advanced technologies like Patient Access Curator, organizations can reduce the burden of denied claims, lower costs, and improve overall efficiency. Embracing denial prevention is not just a strategic advantage—it's a necessity in today's complex healthcare landscape. Watch the video to see how Patient Access Curator is evolving patient access at light speed, using the power of AI and machine learning.  Learn more about Patient Access Curator and contact us to see if you qualify for a free denial analysis. Learn more Contact us

Revenue cycle management (RCM) leaders feel it every day: financial pressures continue to mount, with hospital and laboratory operating margin compression becoming a challenge for even the most financially sound healthcare organizations. To combat claim denial pressures and strained lab and hospital profit margins, healthcare providers should start with the beginning in mind. Strained lab and hospital profit margins are particularly evident in revenue cycle operations, where every dollar billed to a payer needs to find its way back to the system. Rising labor costs, increased expenses for purchased services, and declining patient demand - plus inflationary pressures and labor shortages - have exacerbated these issues. As a result, many hospitals and health system leaders are struggling to maintain financial sustainability. The best revenue cycle leaders must deftly navigate a complex mix of denial management strategies and AI-based technology, like Patient Access Curator, to maximize revenue and improve operational efficiency. Payers aren't helping lab or hospital profit margins Payers, facing their own financial pressures, are tightening hospital operating margins even further, leading to increased claim denials, hyper-focused audits, and reduced reimbursement rates. These strategies create a series of cascading challenges for RCM teams, including increased administrative burdens and revenue leakage. According to a report by Healthcare Finance, 84% of health systems cite lower reimbursement from payers as a top cause of low operating margins. Additionally, 82% of CFOs have seen a significant increase in payer denials since pre-pandemic levels. Higher labor costs are another major driver of margin pressure, with 96% of CFOs reporting this as a significant issue. Healthcare leaders agree – strained profit margins are an ongoing struggle In Experian Health's own research, healthcare executives identified strained profit margins as their biggest challenge. The underlying struggle is about money—keeping cash flowing and supporting a healthy organization. One of the country's top health system CFOs stated that it's the first time in his 30-year career where his beds are full, but he has zero margin. This highlights the severity of the issue. Jason Considine, President at Experian Health, says, "We talk to healthcare leaders frequently and our survey and polling have revealed their primary concerns leading to strained margins – and a highly-pressured financial environment. Some of these reasons might be front and center [for a particular organization], others secondary or tertiary. But all of them are driving down margins across health systems: inpatient revenue erosion, cost of labor, rising staffing and supply complexity, delayed payer reimbursements, regulations, and a very fluid, shifting payer mix. It's consistent from system to system, hospital to hospital." Quick fixes only deepen the problem How have most healthcare organizations been playing catch-up? They throw various fixes at the problem, like cobbling together denial management teams, and adding more software, contingency vendors, and labor. However, those solutions can be a knee-jerk reaction, and only compress margins further. Take a look at coordination of benefits (COB) denials. Revenue cycle leaders often don't have the complete data picture when they look at a 271 response to establish primacy and ignore the “noise” of secondary or tertiary payers. Many don't truly know their system's current process for COB denials – nor that of the vendors or staff who try to 'fix' the problems. Bud Zuberer, VP of Sales at Experian Health, says, "On a daily basis we hear that COB denials, contingency fees, and labor costs are crippling revenue cycle teams. They're paralyzed with too many decisions to make. This collection of problems has led to a rise in denial management teams and personnel. We're witnessing the invention of companies to 'solve' the problem. But that's not the answer. The answer lies in ensuring the data ingestion is correct from the start.” Adding more solutions or software to an already full slate of vendors can also be problematic, as it requires more human touchpoints and capital investments. Ultimately, this affects cash flow, cash acceleration, and days in accounts receivable (AR). Prevention is the best medicine to improve strained lab and hospital profit margins The fastest way to ease the pain of rising claim denials and falling cash flow is denial prevention – fixing downstream problems upstream, before they occur. As Zuberer points out, clean data from the start will reduce denials and chasing cash on the back end. Experian Health's all-in-one Patient Access Curator prevents claim denials in seconds by solving bad data quality and real-time data correction, drastically cutting contingency vendor fees and accelerating cash flow. Some of the key benefits of Patient Access Curator include: Reducing billing errors: Artificial intelligence (AI) and machine-learning guided technology improve claim and data accuracy. Quick, accurate patient registration and scheduling: Streamlines processes. Lower denial volumes: Prevents claim denials at the front end. Decrease human resources related to denial management: Eases staffing shortages and frees up team members for higher-value tasks. Client success story Exact Sciences, one of the largest laboratories in the U.S., recently began using the Patient Access Curator in its revenue cycle operations. Thanks to Patient Access Curator, Exact Sciences achieved the following results: 15% increase in revenue per test due to accurate eligibility and fewer denials 4x business volume without increasing headcount 50% reduction in denials and major improvement in timely filings $100 million added to the bottom line in 6 months “You know when Patient Access Curator went live because you can see it in our stock price. It helped us drive a $100 million bottom-line improvement within two quarters.” - Ken Kubisty, Vice President of Revenue Cycle at Exact Sciences Read the full case study or see what Kubisty had to say in a new testimonial: Prevent strained profit margins in the long run  Strained profit margins are a significant challenge for healthcare organizations, impacting revenue cycle operations and overall financial health. By adopting strategic approaches and leveraging technology, healthcare leaders can navigate these complexities and confirm every dollar is accounted for. In this evolving landscape, proactive and adaptive leadership is crucial for sustaining financial stability and delivering high-quality care. Learn more about how Patient Access Curator helps prevent strained lab and hospital profit margins by solving for bad data, all at once. Patient Access Curator Contact us

Patient access continues to improve, with both providers and patients reporting steady progress, according to The State of Patient Access 2025. Building on the momentum of the 2024 State of Patient Access survey (when 55% of providers reported better access), 36% now say it has improved even further. Around six in ten patients agree that the experience is the same or better than a year ago. Now in its fifth year, Experian Health's latest annual survey shows how patient and provider perceptions of patient access have changed, and where there's still work to do. In February 2025, more than 200 healthcare revenue cycle decision-makers and over 1000 healthcare consumers were surveyed about their experiences over the previous year. The findings point to three key opportunities for organizations looking to improve the patient experience and boost revenue, which are discussed below. Download The State of Patient Access 2025 report for a full run-down of patient and provider views about access to care. What patients and providers think of patient access (and 3 immediate opportunities) The overall sentiment is encouraging, but there's always room for improvement. The report gives a detailed breakdown of the reasons why respondents think access has improved – or not – and how many respondents gave those reasons. These insights will help providers target their improvement efforts where they matter most. Opportunity 1: Focus on the financial experience 29% of patients say paying for healthcare is getting worse 56% of patients say they need help from their provider to understand what their insurance covers 50% of providers say access is better because patients have more flexible payment options Financial concerns continue to shape the patient experience. Affordability is a key factor in whether patients think paying for care is getting easier or tougher, but it's not the only one. Patients who feel that paying for healthcare has improved cite reasons like being able to understand what their insurance covers, having payment plans that make costs more manageable, and being able to complete paperwork digitally prior to care. Conversely, those with a negative view mention confusion over what they owe, difficulty making payments, excess paperwork and lack of payment plans among their top concerns. To address these challenges, providers can turn to tools that streamline the financial journey from the start. Automating patient financial clearance helps get patients on the right financial pathway as quickly as possible, while segmentation data enables smarter and more personalized collection strategies. Offering flexible payment plans and convenient digital payment options rounds out a financial experience that's easier, more transparent and aligned with patients' needs. Case study: See how UCHealth used automated financial clearance to identify $26 million in charity care. Opportunity 2: Prioritize accurate price estimates 81% of patients say an accurate estimate helps them better prepare to pay 43% of patients say that without an estimate, they're likely to postpone or cancel care 88% of providers say there's an urgency to improve or implement accurate estimates Sticking with the financial theme, the findings suggest that despite ongoing efforts, price transparency in particular still needs some work. While more patients received estimates, accuracy has fallen for a third year in a row. As a result, patients are left uncertain about what they'll owe, prompting some to avoid care altogether. On the flipside, 38% of patients say that understanding the cost of care in advance of treatment made for a better payment experience. With 77% of patients saying it's important that their provider can explain what their insurance covers before treatment, there's a clear opportunity to help patients feel more in control. Not only will this reduce patient stress, but it also builds trust and increases the chance of prompt payments. Almost all patients say they struggle to pay for care at some point, so improving the accuracy of estimates should be an immediate priority for providers. Timely, personalized estimates that reflect the true cost of care will give patients early clarity and avoid surprises later. Experian Health's patient estimates tools use real-time data, including insurance coverage, updated payer contract terms and current provider pricing, to calculate accurate estimates before services are delivered. Patients can receive estimates sent directly to their mobile device or generate estimates through a self-service web-based portal. Opportunity 3: Use automation to improve front-end data collection 56% of providers say patient information errors are a primary cause of denied claims 48% say data collected at registration is “somewhat” or “not” accurate 83% say there's an urgent need for faster, more comprehensive insurance verification Front-end operations are a major source of friction for both providers and patients. Four out of the five top patient access challenges reported by providers relate to front-end data collection, including improving insurance searches, reducing errors and speeding up authorizations. These inefficiencies don't just slow down internal workflows. Manual, error-prone processes lead to delays, claim denials and patient frustration. Providers note that staffing shortages are compounding the problem, which suggests that tackling these front-end workflows would be a strategic operational win. It's also a financial opportunity. In the CAQH's latest Index Report, shifting from manual to electronic transactions for administrative tasks such as eligibility checks, insurance verification and prior authorizations could save the healthcare industry up to $20 billion. Patient Access Curator uses automation and artificial intelligence (AI) to streamline patient access and billing, address claim denials and improve data quality from the outset. This integrated solution performs rapid eligibility, coordination of benefits (COB), Medicare Beneficiary Identifier (MBI), demographics and insurance discovery checks to ensure that all data is correct on the front end. Case study: See how Exact Sciences boosted their bottom line by $100 million with Patient Access Curator The State of Patient Access: From survey to strategy The overall takeaway in The State of Patient Access 2025 is that while progress is heading in the right direction, meaningful opportunities remain, especially when it comes to improving the patient financial experience, price transparency and front-end operations. Going forward, patients want financial clarity and confidence when accessing care. Providers, facing ongoing staffing and operational pressures, need smart and scalable solutions to meet those expectations. Now it's time to take those findings and deploy the right tools and strategies to keep the good work going. Download The State of Patient Access 2025 report to get the full survey results and contact us to see how we help healthcare organizations improve patient access with automation, AI and digital tools. Download the report Contact us

Early diagnostics, remote patient monitoring and personalized care recommendations are just a few examples of how artificial intelligence (AI) is transforming the way healthcare is delivered. As technology advances, so do opportunities to optimize clinical and operational processes. With projected savings in the region of up to $360 billion annually, it's no surprise that 75% of healthcare executives believe AI has reached a turning point in their industry. Yet many providers are still just scratching the surface. Only a small percentage use AI for complex tasks like claim denial management, leaving the competitive advantage wide open. Understanding how these technologies work – and where to apply them for maximum impact – will be crucial to improve efficiency, remain competitive and above all, deliver excellent patient care.  The power of AI in healthcare As the name suggests, artificial intelligence refers to a machine's ability to perform cognitive tasks that would normally be associated with humans, such as problem-solving and decision-making. It can spot patterns, learn from experience and choose the right course of action to achieve a goal. Natural language processing, robotics and machine learning might all be in the mix. AI in the healthcare industry has been found to support applications like: Improving diagnosis through the analysis of medical images AI-powered wearables and virtual nursing assistants Patient data management Reducing and preventing insurance claim denials. Artificial intelligence in healthcare isn't a substitute for human contact, which underpins the best patient care. However, by increasing accuracy and reducing costs, it can help clinicians and healthcare administrators make better decisions that support a positive patient experience across virtually all healthcare settings. AI & automation in healthcare: key benefits  AI and automation deliver results in the three areas that matter most to healthcare organizations: improving the patient experience and care delivery, allowing staff to perform at their highest level, and increasing revenue. Boosting patient satisfaction through speed and accuracy Patient feedback has a few common themes: timely access to care, clearer communication and greater financial transparency. To meet these needs (and improve those feedback scores), healthcare providers should offer patients accurate, upfront information and reduce friction wherever possible. Tools like Patient Access Curator use AI to verify and update all necessary patient information at the front end, all at once, which drastically reduces the time and effort required to manage patient records. This streamlines patient intake and solves for bad data, which prevents claim denials and increases patient satisfaction. Bringing in more revenue by reducing claims errors The 2024 CAQH index estimates that 22% of current costs could be saved by shifting from manual revenue cycle processes to automated ones. Experian Health's State of Claims Survey 2024 suggests providers are eager to capitalize on this opportunity, with 51% seeking to reduce manual work. AI-driven solutions like Patient Access Curator and AI Advantage are designed specifically to meet these needs. Patient Access Curator automates insurance eligibility and coverage, scanning patient documentation for inaccurate information, and uses AI and robotic process automation to reduce manual errors. AI Advantage™ works to prevent denials before they happen, using predictive analytics to flag claims errors and alert staff to claims that fail to meet payer requirements. Improving staff performance by easing burnout The strain of manual processes doesn't just slow down operations. It's also a major cause of staff stress and burnout. Around half of healthcare staff report feeling burned out, costing the industry an estimated $4.6 billion each year. By taking repetitive tasks off busy employees' plates, AI can alleviate overwork and allow staff to focus on higher-value work, improving job satisfaction and productivity. In claims management, for example, AI Advantage, works in conjunction with ClaimSource®, to proactively identify claims with a high likelihood of denial prior to claim submission without staff intervention. This reduces the burden on staff while improving clean claim rates. How AI Advantage and Patient Access Curator improve patient care Experian Health's two flagship AI-based products go even further, offering new ways to use technology to improve patient care: Patient Access Curator uses AI and robotic process automation to streamline one of the most tedious parts of patient intake – verifying insurance eligibility and coverage. By automatically scanning patient records for errors and pulling up-to-date information from payer sources, it eliminates the guesswork and manual labor that bog down revenue cycle teams. The result is faster, more accurate eligibility verification and a smoother experience for both staff and patients. As Ken Kubisty, VP of Revenue Cycle at Exact Sciences, put it: “Within the first six months of implementing the Patient Access Curator, we added almost 15% in revenue per test because we were now getting eligibility correct and being able to do it very rapidly.”  On the back end, AI Advantage – Predictive Denials acts as an early warning system for denials, scanning claims before they go out the door to catch errors and flag risky submissions so they can be corrected in time. Built on advanced AI and machine learning, the platform evaluates claims using historical payment data and real-time payer behavior. Its counterpart, AI Advantage – Denial Triage, picks up where Predictive Denials leaves off, sorting rejected claims according to their potential for reimbursement and prioritizing them based on financial impact. Together, they help providers minimize denials, resulting in faster reimbursement and freeing up resources that can be redirected to patient care. Case study: See how AI Advantage helped Schneck Medical Center achieve a 4.6% average monthly decrease in denials in the first six months. The future of AI in healthcare: what's next? As a quick glance at any newsfeed will confirm, AI's role in healthcare is only going to expand. Predictive analytics will give staff increasingly powerful insights and recommendations to maximize reimbursements, while minimizing the burden on the workforce. AI's ability to continually learn and improve means providers that embrace AI will be better placed to make full use of their data and adapt to the trends and challenges that affect patient care. As expectations grow and resources shrink, AI is likely to be the only way to deliver the scalable, responsive, high-quality care patients deserve. Discover how solutions like AI Advantage and Patient Access Curator use artificial intelligence in healthcare to help reduce claim denials, improve patient access and more. AI Advantage Patient Access Curator