Tag: patient access curator

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

Medical billing errors are common problems that can lead to significant financial losses for healthcare organizations. While most medical billing errors are preventable, outdated systems, complex processes and human errors often result in delayed or denied claims. Faced with ever-increasing overhead costs, workforce challenges and growing volumes of data, healthcare leaders will need to implement modern medical billing software solutions to improve revenue cycle management (RCM) medical billing efficiencies, without adding costly headcount or overhead. This article reviews the role modern medical billing software plays in revenue cycle management and how RCM leaders can use it as a top defense to prevent costly claim delays and denials. What is medical billing software in revenue cycle management? Medical billing software is a critical tool healthcare organizations use to streamline patient billing and collections in revenue cycle management. Revenue cycle leaders know that outdated and complex billing processes can wreak havoc on the entire revenue cycle and waste valuable staff time. However, medical billing in revenue cycle management allows providers to optimize the entire revenue cycle — from pre-visit insurance verification and cost estimates through patient billing and collections. Automated medical billing processes in the revenue cycle can help improve efficiencies, reduce errors, and create more reliable collections processes. This allows healthcare organizations to deliver better patient care while protecting their bottom line. How software powered by artificial intelligence (AI) improves medical billing efficiency AI-powered software helps providers manage many types of complex revenue cycle billing processes — from claims management to collections. Providers that embrace AI often benefit from streamlined medical billing processes, fewer claim denials, real-time eligibility verification, better data insights and productivity boosts. For example, AI-powered software can streamline medical billing by automating repetitive tasks, like insurance verification checks, so providers can prevent and catch errors, speed up reimbursements and stretch strained resources. On the front end, with single-click AI-driven data capture technology, running multiple manual eligibility queries is no longer necessary. Now, with solutions like Patient Access Curator, patient details can be verified quickly and accurately. Patient Access Curator leverages AI and machine learning to automatically handle eligibility verification, coordination of benefits, Medicare Beneficiary Identifiers, insurance discovery and more, with just one click. This saves staff hours and reduces human errors that can lead to claims denials and costly delays later on. Ken Kubisty, VP of Revenue Cycle at Exact Sciences, shares how Patient Access Curator helped their organization reduce claim denial errors and added $75 million in insurance company collections. AI-driven predictive analytics solutions, like AI Advantage™, can also help staff identify claims that may be at risk of denial, so potential issues can be handled before submission — saving even more staff time. When admin overhead is minimized, there's less burnout and less stress. Staff can focus on higher-priority tasks, and healthcare organizations can see productivity increase overall. Preventing claims denials with better billing solutions Claims denials are on the rise with healthcare organizations being left on the hook for delayed or unpaid claims. In the State of Claims 2024 report, 38% of survey respondents said that at least one in ten claims is denied. Some organizations see claims denied more than 15% of the time. That's a lot of cost in reworks and lost revenue. Nearly half of providers say patient information errors are a primary cause of denied claims. Errors are common during pre-visit insurance verification due to error-prone manual processes, but can happen at any point during the collection process. Medical billing software helps providers reduce errors and submit cleaner claims right from the start and catch errors before they become costly problems. Here are some of the key ways medical billing software like Experian Health's Patient Access Curator solution helps providers head off claims denials before they happen.   Eligibility checks: Automatically verifies patient eligibility and updates records in real-time to ensure patient information is accurate before claims submission. Coordination of Benefits (COB) verification: Discovers and verifies secondary and tertiary insurance coverage to reduce the risk of COB-related denials while using AI-powered technology to seamlessly integrate with a provider's eligibility verification process. Medicare Beneficiary Identifiers (MBIs): Updates MBIs to confirm patient records are correct and compliant with Medicare requirements while using AI-driven technology and automation to find and correct patient identifiers automatically. Demographics: Patient demographic information is corrected and updated using in-memory analytics and Experian Health's proprietary algorithm to accurately find and fix contact information. Insurance Discovery: Identifies and corrects missing or incorrect insurance information to ensure claims are submitted with the most accurate information available. Discover how Experian Health's revolutionary AI-powered revenue cycle solution is turning denial management into denial prevention. Patient Access Curator solves for missing or correct data in real-time at registration and scheduling, creating a smooth, clean claim process and lowering denials by double digits. Optimize efficiencies in claims management through AI Experian Health customers currently using ClaimSource® can now improve their claim management strategy — before claim submission and after denial. With AI Advantage™ Predictive Denials and Denial Triage, providers can leverage historical claims data and Experian's deep knowledge of payer rules to continuously adapt to an ever-changing payer rules landscape.AI Advantage's - Predictive Denials component reduces denial rates, detects payer changes and empowers staff to focus on highest-priority claims, while AI Advantage's - Denial Triage identifies denials with the highest reimbursement potential and uses AI to segment denials, eliminating guesswork for billers. Watch the video to learn more about the two components that make up AI Advantage, and how healthcare organizations can transform the reimbursement process and decrease claim denials for good. Medical billing software is only getting smarter and faster Upgrading outdated manual medical billing processes results in cleaner claims, improved staff efficiencies, better care and improved patient satisfaction. Today's AI-driven technology brings medical billing in RCM to the next level, enabling time-strapped providers to do even more with less. Now busy providers can streamline manual processes that used to take hours into just seconds. With this new technology, patient information is accurate when claims are submitted, eliminating the need for costly reworks and hits to the bottom line. As more providers adopt AI technology for RCM in medical billing and software solutions get more sophisticated, providers will see new success stories in its power to help healthcare organizations optimize the entire revenue cycle. Learn how tools like Patient Access Curator and AI Advantage can help healthcare organizations prevent claim denials and improve medical billing in RCM. Learn more Contact us

Finding missing health insurance is critical to keeping revenue cycles on track. Insurance eligibility verification is an important process providers use to confirm active coverage, including additional coverage a patient may have forgotten. According to Experian Health's State of Claims 2024 survey, almost a fifth of providers say missing coverage is a top reason for claim denials. It helps providers determine what insurance a patient has and what's covered and plays a key role in billing. When a patient has more than one type of active coverage, providers use insurance eligibility verification checks to determine how much should be billed to the correct payer and in what order. However, searching for missing coverage is often time-consuming and error-prone thanks to manual systems, disjointed databases and ever-changing payer regulations. When mistakes are made in the early stages of patient intake, it affects every step of the patient journey and revenue cycle. The struggles to confirm patient coverage are likely to worsen as patient volumes increase, medical needs get more complex and staffing shortages continue. Despite these mounting obstacles, insurance eligibility verification checks remain a critical first step to reducing claims denials, improving patient outcomes and minimizing lost revenue. This article explores why insurance eligibility verification checks matter and how providers can adopt new strategies and digital tools to find missing health insurance and prevent revenue from slipping through the cracks. The hidden costs of missing health insurance Today, more Americans are struggling to afford their medical bills — even with insurance. A KFF study reports that 48% of U.S. adults find affording healthcare difficult, while 25% say they or someone in their household had issues covering medical costs in the past twelve months. About half of those surveyed say paying an unexpected $500 medical bill would put them into debt. Insured patients aren't immune from the burden of high healthcare costs, though. Thanks to rising deductibles, co-pays and premiums, patients are taking on more financial responsibility, and 74% are worried about covering out-of-pocket costs. Nearly half of U.S. adults expressed concerns about affording their monthly insurance premiums. When medical bills go unpaid, provider revenue can take a serious hit. Uncompensated care is a huge financial burden for providers. The American Hospital Association reports that hospitals have provided almost $745 billion in uncompensated care since 2000. Patients often have additional insurance coverage that could help close the gaps, but they've either forgotten about it or are unaware of their eligibility. Finding missing coverage is a top priority for providers who want to ensure revenue streams stay in check — especially as healthcare costs continue to rise. Benefits of resolving missing health insurance issues Resolving missing health insurance issues has many benefits for both providers and patients, beyond verifying that services are covered and medical bills are paid. These include: Reduces claim denials: Claims denials are on the rise, and missing coverage is a top reason, according to Experian Health data. Incorrect or incomplete information can result in errors on claim forms or providers sending claims to the wrong payer. Finding missing coverage before claims submission reduces errors, denials, delays and rework. Minimizes wasted staff time: An eligibility recheck is needed when providers discover an incomplete claim, due to a change in active benefits after claims submission. With 43% of providers reporting that eligibility rechecks add at least 10 additional minutes per claim, finding missing coverage in advance is critical to freeing up valuable staff time. Improves the patient experience: Patients are often confused about what insurance covers and what they'll be on the hook for out-of-pocket. More than eight in ten patients say pre-service price estimates help them prepare for the cost of care. When providers are able to find missing coverage during insurance discovery, patients are more likely to receive accurate upfront estimates. Complete and transparent pricing allows patients to prepare for the cost and avoid any surprises, while accelerating collections for providers. Tools and strategies to find missing health insurance Insurance eligibility checks help providers verify insurance status, coverage details and benefits in advance. However, performing insurance checks isn't always straightforward, and often requires searching for missing coverage. Patients sometimes forget to let providers know about secondary coverage or insurance changes. Or, coverage can be forgotten because a patient has moved to a new house, changed states, switched employers or signed up for a different policy. In some cases, patients may be misclassified as self-pay or have only one form of insurance. Providers can improve their insurance eligibility verification process and discover missing health insurance at every stage of the revenue cycle with the following strategies: Implement digital insurance discovery solutions Outdated manual systems are often error-prone and make finding missing coverage a labor-intensive task for already overburdened staff. Automated eligibility verification solutions offer a more streamlined approach to finding missing coverage faster with more accurate results. Tools like Experian Health's Coverage Discovery work across the entire revenue cycle and search government and commercial payers to find previously unknown insurance coverage. Using multiple proprietary data sources, advanced search heuristics and machine learning, it reliably identifies accounts that may be submitted for immediate payment under primary, secondary or tertiary coverage. Watch the video to see how Coverage Discovery helps healthcare providers find previously unidentified coverage – while saving time and money. Streamline patient intake and updates Matching patient information to payer databases starts at registration. However, patient information, including insurance coverage details, can change anytime. Patients may switch insurers, move states or change their contact information. Catching errors before a claim is submitted is key to keeping the revenue cycle moving and collections. Providers often can't keep up with changes or may struggle with tool overload, with nearly 60% of providers reporting using at least two different tools to gather the necessary patient information for claim submission. Digital tools, like Experian Health's Patient Access Curator, can help solve for bad data quality with real-time correction. This solution uses artificial intelligence (AI) and performs eligibility, COB, Medicare Beneficiary Identifier (MBI), demographics and discovery in a single solution, to ensure that all data is correct on the front end. Patient Access Curator also interrogates 271 responses to indicate any secondary or tertiary coverage data. Other tools, like Registration Accelerator, puts the patient in control of inputting and updating information. Using an automated link, patients can enter their personal details and insurance information from their mobile phone or the web-based app, with no login required. Providers can prompt patients to complete registration details during the initial intake process and send reminders to update information that may have changed, like an address or insurance policy, when follow-up appointments are scheduled. Provide accurate upfront estimates The lack of accurate care estimates is an ongoing challenge for both providers and patients. According to Experian Health data, four in 10 patients report spending more on healthcare than they could afford. When providers don't have access to the most up-to-date patient insurance information, or coverage is missing, estimates are often incorrect and patients end up with surprise bills. Inaccurate estimates create a negative patient experience, resulting in unpaid bills and extra work for staff to resubmit claims or chase down collections. However, tools like Eligibility Verification can help providers easily confirm coverage, co-pays and deductibles at the time of service. When armed with real-time coverage data, providers can build more accurate estimates and help patients prepare for the cost of care. How technology makes finding missing health insurance easier 43% of Experian Health's State of Claims survey respondents say that eligibility checks take 10 to more than 20 minutes to complete. Eligibility checks are taking longer, are filled with more errors, and only 54% of providers feel their claims technology can handle current revenue cycle demands. Using technology at every step of the revenue cycle helps providers bridge the gap between front-end eligibility checks and back-end claims management. Digital tools, like Coverage Discovery, fit anywhere into the revenue cycle, allowing providers to easily check for health insurance through the patient journey, not just at registration. Emerging AI and automation tools also help providers find missing health insurance faster. Automated eligibility verification solutions, like Experian Health's Eligibility Verification, seamlessly check insurance benefits across 900 payers using advanced patient matching tools. Patient Access Curator uses AI-based data capture technology to return real-time data in a single click from hundreds of payer responses, allowing providers to quickly verify active coverage, billing information, plan level details, and more. Case studies: See health insurance discovery in practice How UCHealth secured $62M+ in insurance payments and saved $3.5M+ in 2022 with Coverage Discovery How Luminis Health used Coverage Discovery to find $240K in billable coverage each month How Providence Health found $30M in coverage and reduced denial rates with automated eligibility checks Learn more about how automated health insurance discovery helps providers find missing health insurance, reduce claim denials, improve cash flow and deliver better patient experiences. Learn more Contact us

“You know when the 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 Challenge Exact Sciences is a prominent cancer diagnostics laboratory with an annual net revenue of around $2.6 billion, that's best known for its flagship cancer screening test, Cologuard. After a period of rapid growth demand for its test, Exact Sciences faced the difficult task of collecting accurate patient data and verifying insurance eligibility at scale. Anticipating a 25% growth in annual testing volumes, Ken Kubisty, Vice President of Revenue Cycle at Exact Sciences, says the organization “needed an automated, real-time solution" to capture accurate data from the start. The company had four specific objectives: Improve the accuracy of patient insurance data to reduce errors and denials. Streamline processes to handle rising testing volumes without increasing headcount. Reduce claim denials to bring in more revenue (especially those related to eligibility and timely filing). Ensure accurate identity verification in lab settings, where patient, physician and lab data aren't unified within a single data management system. Watch the webinar: Hear our pre-recorded session from our annual Experian Health High-Performance Summit 2024 (HPS), featuring Exact Sciences and Trinity Health, as they reveal how Patient Access Curator helped their organizations automate eligibility, reduce denials, and more, all with a single click. Solution In need of a single solution to solve multiple challenges, Exact Sciences turned to Experian Health's Patient Access Curator. This new product provided the team with a way to run inquiries for eligibility, Medicare beneficiary identifiers, coordination of benefits, insurance discovery and demographic data with a single click. Instead of juggling multiple products and vendors, registrars would be able to capture and verify patient data in a single transaction. Through automation and machine learning, Patient Access Curator could deliver results in less than 30 seconds and help submit clean claims the first time – reducing the risk of denials even as volumes increased. Experian Health's implementation experts configured the tool to Exact Sciences' needs, integrating over 4,000 payer plans nationwide and customizing parameters for real-time eligibility checks and data validation. Experian Health also delivered staff training to support the transition to the new system. Watch the video: See how Experian Health's Patient Access Curator streamlines patient access and billing, addressing claim denials, data quality and real-time corrections to boost your business's bottom line. Outcome 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 Ken Kubisty, VP of Revenue Cycle at Exact Sciences, shares how Patient Access Curator improved eligibility processes, reduced errors and more. Overall, Kubisty credits Experian Health's Patient Access Curator for helping Exact Sciences overcome critical pain points resulting from data errors and eligibility issues. Solving for bad data quality with real-time data correction freed staff from tedious manual work, ensuring faster, more accurate claims processing – all without growing headcount. After implementing Patient Access Curator, the company is ready to scale and handle growing volumes efficiently, say goodbye to late filing denials and scale smarter. For Kubisty, this highlights how technology drives efficiency and sustainable growth. Learn more about how Patient Access Curator helps patient access teams prevent claim denials by solving for bad data quality with real-time data correction. Learn more Contact us

Ask any healthcare revenue cycle manager how they feel about using artificial intelligence (AI), and the response is likely to be “hopeful, but wary.” The potential is clear — fewer denials, faster reimbursements and more efficient workflows. However, with adoption slowing, it seems many have lingering concerns about implementation. According to Experian Health's State of Claims survey, the number of providers using automation and AI in revenue cycle management has halved from 62% in 2022 to 31% in 2024. Despite these reservations, there are bright spots. From preventing claim denials to automating patient billing, AI and automation are already helping many healthcare organizations improve operations, boost financial performance and deliver a better patient experience. This article examines what providers need to know about bringing AI technology into their revenue cycle. Understanding the role of AI in revenue cycle management AI regularly hits the headlines for its clinical applications, like medical imaging analysis, drug discovery and surgical robotics. But behind the scenes, it's also quietly transforming revenue cycle management (RCM). Non-clinical processes like medical billing, claims management and patient payments are complex. Trying to manage these manually results in slow reimbursement and strained resources. AI offers efficient solutions to reshape how providers manage these pressing issues, giving them a head start in coping with increasing costs, workforce challenges and ever-increasing volumes of data. Benefits of AI in healthcare RCM  For most providers, AI's main draw is its ability to deliver significant financial savings. The most recent CAQH index report suggests that switching from manual to electronic administrative transactions could save the industry at least $18 billion. That's a compelling prospect for revenue cycle leaders looking to do more, and faster, with fewer resources. These financial savings aren't just the result of direct cost-cutting – they stem from the broader operational benefits AI brings to the table. These include: Streamlined billing processes: Automating repetitive tasks and minimizing human error reduces costly mistakes that lead to payment delays Fewer claim denials: Predictive analytics help staff identify claims that may be at risk of denial so that issues can be tackled upfront Real-time eligibility verification: AI tools can check a patient's insurance details in an instant, to catch outdated information and prevent billing mistakes and denials Better data insights: AI has the power to analyze vast datasets and find patterns and bottlenecks to help teams improve decision-making Productivity boost: With reduced admin overhead, staff can focus on higher-priority tasks and improve overall performance, with less stress and burnout. The benefits extend to patients, too. Behind every denied claim or billing error is a patient caught in administrative confusion. By automating processes, eliminating errors and increasing transparency, AI and automation help providers give patients financial clarity throughout their healthcare journey. How AI is revolutionizing healthcare RCM  Here are some examples of what this looks like in practice: Using AI to manage complex billing procedures Medical billing errors cost healthcare organizations millions of dollars each week, and the problem is only getting worse. Experian Health's State of Patient Access survey 2024 found that 49% of providers say patient information errors are a primary cause of claim denials, while in the State of Claims survey, 55% of providers said claim errors were increasing. Manual processes make managing the complexity of insurance plans, billing codes and patient payments near impossible. AI simplifies the task. For example, Patient Access Curator uses AI-powered data capture technology, robotic process automation, and machine learning to verify coverage and eligibility accurately with one click. This ensures accuracy throughout the billing cycle, reducing denials and accelerating collections. On-demand webinar: Watch our recorded session to hear how revenue cycle leaders from Exact Sciences and Trinity Health share their strategies and success stories with the Patient Access Curator. Using AI to prevent claim denials Claims can be denied for many reasons, but poor data consistently tops the list. Even so, around half of providers are still using manual systems to manage claims. AI helps providers buck the trend by improving data quality and using that data to improve claims management. Experian Health's AI AdvantageTM, available to those using the ClaimSource® automated claims management system, analyzes patterns and flags issues before claims are submitted, using providers' historical payment data together with Experian Health's payer datasets. It continuously learns and adapts, so results continue to improve over time. Read the case study: AI Advantage helped Schneck achieve a 4.6% average monthly decrease in denials in the first six months. Using AI to reduce patient payment delays The rise in high-deductible health plans is associated with a greater risk of missed patient payments. According to SOPA, 81% of patients said accurate estimates help them prepare for the cost of care, and 96% are looking for their provider to help them make sense of their insurance coverage. AI is vital for providers looking to help patients understand their financial responsibility early and avoid payment delays. With solutions like Patient Access Curator, staff no longer need to sift through piles of patient data and payer websites to verify eligibility and get a clear picture of a patient's insurance coverage. Instead, they can quickly gather the information they need to give the patient a prompt and accurate breakdown of how the cost of care will be split. "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." Ken Kubisty, VP of Revenue Cycle, Exact Sciences Key AI technologies driving RCM transformation Healthcare revenue cycle managers have long trusted automation to handle repetitive tasks. Hesitancy around AI may stem from a lack of familiarity with its more advanced capabilities. Findings from the State of Claims survey reveal a widening comfort gap, with the number of respondents feeling confident in their understanding of AI dropping from 68% in 2022 to 28% in 2024. So, what are some of the key technologies providers should understand to help bridge the gap? While automation relies on straightforward, rule-based processes to handle repetitive tasks, AI tools are capable of learning, adapting and making decisions. A few examples to be aware of include: Machine learning: Analyses historical data to predict trends like claim denials and payment delays, and use this knowledge to prevent future issues Natural language processing: Extracts actionable insights from unstructured data, such as clinical notes and patient communications, giving staff consistently formatted data to use in RCM activities AI-powered robotic process automation: Goes beyond basic automation to handle decision-based workflows with precision, for example, in evaluating claims information to make predictions about the likelihood of reimbursement. Challenges and considerations in implementing AI in RCM Getting to grips with what AI technologies offer is an important first step for healthcare revenue cycle managers. However, successful implementation also calls for consideration of the practical challenges. Can AI solutions be successfully integrated with existing legacy systems? Will the data available be of high enough quality to drive meaningful insights? Are the costs of implementation within budget, especially for smaller providers? Is the workforce ready to buy into AI, or will extensive training be needed? With careful planning and a trusted vendor, these challenges are manageable. Embracing AI for a smarter, more efficient RCM The benefits of AI in revenue cycle management are clear: more innovative, faster processes that free up staff time and reduce errors, resulting in much-needed financial gains. To maximize AI, providers should begin by reviewing their organization's key performance indicators and identifying areas where AI can add the most value. This should focus on points in the revenue cycle where large volumes of data are being processed, such as claims submissions or patient billing, which are common areas for inefficiencies and errors. By taking a strategic, targeted approach, providers can find the right AI solutions to make the biggest impact – whether it's through curating patient insurance information, improving claim accuracy or predicting denials. A trusted vendor like Experian Health can guide teams through the AI setup and make sure it meets their needs. Find out more about how Experian Health helps healthcare providers use AI to solve the most pressing issues in revenue cycle management. Learn more Contact us

As margins tighten, traditional revenue cycle management strategies are on shaky ground. Many healthcare providers are turning to automation and AI to simplify payments, prevent revenue loss and protect profits. This article breaks down some of the most common revenue cycle management (RCM) challenges facing healthcare leaders and offers a practical checklist to optimize patient access, collections and claims management, while building a resilient and patient-centered revenue cycle. Common challenges in revenue cycle management Revenue cycle management is how healthcare organizations handle the financial side of patient care, from patient billing to claims management. Healthcare providers rely on RCM to ensure they are properly paid, so they can keep the lights on, pay their staff and deliver quality patient care. Are traditional RCM strategies still fit for purpose? Consider some of the current challenges: Patients are responsible for a larger share of costs due to high-deductible health plans. How can providers help them understand their financial obligations and make it easier to pay without hurting their experience? Minimizing claim denials is a daily focus, thanks to constantly changing policies and regulatory updates. How do revenue cycle teams keep up with payers? Staffing shortages remain on the agenda. How can providers ease pressure on staff to maintain productivity and morale? There's also the question of how to turn mountains of data into actionable insights. How do teams interpret it correctly to identify bottlenecks and opportunities for improvement? Automation and AI offer a way through. When implemented thoughtfully, these tools can speed up processes, reduce errors and clear operational roadblocks for a more resilient revenue cycle. The following revenue cycle management checklist includes some of the key questions to consider along the way. Checklist for improving revenue cycle management Automating patient access Can patients book appointments online? Does the online scheduler automate business rules to guide patients to the right provider? Are patient identities verified at registration and point of service? A healthy revenue cycle starts with efficient patient access. According to the State of Patient Access 2024, 60% of patients want more digital options for scheduling appointments, managing bills and communicating with providers. Providers who see improvements in patient access also credit automation, which speeds up intake and improves accuracy. A good first step is to replace paper-based processes with online self-scheduling and self-service registration. These tools make life easier for patients, boosting satisfaction, retention and engagement. Behind the scenes, Experian Health's new AI-powered tool, Patient Access Curator, helps providers get paid faster by verifying and updating patient information with a single click – accelerating registration and paving the way for faster reimbursement. Register now: Exact Sciences and Trinity Health will share how Patient Access Curator is redefining patient access in this upcoming webinar. Optimize patient collections with data and analytics Are patient estimates provided upfront? Are notice of care requirements being addressed? Are patients offered appropriate financial plans and easy ways to pay? With more financial responsibility resting on patients' shoulders, patient collections are under the spotlight. The State of Patient Access report shows that upfront estimates and clarity about coverage are top priorities for patients, because when they know what they owe, they're more likely to pay on time. Implementing tools to promote price transparency and easy payment methods should feature in any RCM checklist. With Coverage Discovery, healthcare organizations can run checks across the entire revenue cycle to find billable commercial and government coverage that may have been forgotten, to maximize the chance of reimbursement. Meanwhile, Patient Payment Estimates offers patients clear, accessible estimates of their financial responsibility before treatment, so that hose who need financial assistance can be directed automatically to payment plans and charity options. Case study: How UCHealth secured $62M+ in insurance payments with Coverage Discovery® Improve claims management to reduce denials Are high-impact accounts prioritized? Are remittances reconciled with payments received? Does claims management software generate real-time insights and reports? With 73% of healthcare leaders agreeing that denial increased in 2024, and 67% saying it takes longer to get reimbursed, claims management is a great use case for automation. ClaimSource®, ranked Best in KLAS in 2024 for claims management, automates the entire claims cycle in a single application. It integrates national and local payer edits with custom provider edits to verify that each claim is properly coded before submission. By focusing on high-priority accounts, providers can target resources in the most effective way to ensure a higher first-pass payment rate. A major advantage for ClaimSource users is access to AI Advantage™. This tool utilizes AI to “learn” from an organization's historical claims data and trends in payer behavior to predict the probability of denial. It also segments denials so staff can prioritize those that are most likely to be reimbursed, reducing the time and cost of manual appeals and rework. Case study: After using AI Advantage for just six months, Schneck Medical Center reduced denials by an average of 4.6% each month, and cut rework time from 12 to 15 minutes per correction to under 5 minutes. Benefits of implementing a revenue cycle management checklist The key to choosing the right RCM tools and technologies is to build the strategy around what patients need most. A clear, transparent and compassionate billing experience is more manageable for patients and helps providers get paid faster. An RCM checklist helps teams stay focused on the tasks that matter. Providers can build on the suggestions above by choosing the key performance indicators (KPIs) that align with their specific goals. Metrics like financial performance, billing efficiency and collections rates can be combined to guide resource allocation, drive improvements and speed up reimbursement. With a well-designed checklist informed by clear KPIs, revenue cycle leaders can keep their teams on track and take their organizations from “surviving” to “thriving.” Learn more about how Experian Health's revenue cycle management tools can help healthcare providers meet current challenges, improve the patient experience and increase cash flow. Learn more Contact us

Medical excellence is a given when it comes to improving the patient experience, but what about the non-clinical side of care? Long waits, confusing processes and financial uncertainty can overshadow even the best medical treatment. As many as one in four patients delay care because of hidden administrative obstacles. As providers look to improve the patient experience in 2025, tackling these frustrations is top of mind. How easy is it for the patient to schedule their appointment? How quickly can they complete registration? Do they understand their insurance coverage, and do they have the right support to manage and pay their bills? Clear and straightforward patient access processes give patients support, convenience and control, and allow providers to focus on delivering care. This article looks at the challenges and opportunities that may affect patient access over the next year and highlights three ways to use digital tools to improve the patient experience. The patient experience in 2025: a rollercoaster of risks and opportunities Over the next year, patients' shifting needs and attitudes will change how they access care. Informed, tech-savvy patients armed with wearables and health-tracking apps want streamlined access and contact with their providers, and expect efficiency and personalization when they do seek care. At the same time, an aging population and increasing numbers of people with multiple chronic conditions drive demand for more complex and ongoing support. On the provider side, challenges like staffing shortages and remote work demands will continue to strain patient access teams. Payers' rapid adoption of artificial intelligence (AI) will continue to widen the denials gap. Rising costs will persist. Amidst this uncertainty, the forthcoming change of government may bring additional regulatory and legislative changes, so providers must be ready to adapt. Opening the digital front door is a way to elevate the patient experience to meet changing consumer expectations, while simplifying and streamlining processes so they can respond to whatever's in store. How can digital tools help improve the patient experience? Digital tools take the patient journey from a series of disjointed encounters to a coordinated and personalized experience. Building on innovations that gained momentum during COVID-19, like telehealth and virtual care, these tools keep patients and providers connected throughout the care process. By tailoring experiences to individual needs in real time, digital tools integrate into daily life and meet the rising demand for convenient, tech-driven options. Three ways to improve the patient experience Experian Health's latest State of Patient Access survey offers some pointers as to what providers should prioritize: 1. Expedite scheduling so patients can see their practitioner quickly Patients measure the patient experience by how quickly they can see their doctor. In the State of Patient Access survey, both those who think patient access has improved and those who think it has worsened give this as their reason. As patients' top priority, efficient scheduling is an obvious focus for providers who want to improve the patient experience. Online scheduling, mobile registration and self-service portals can simplify how patients book and check in for appointments. Patient Schedule lets patients book appointments anytime they like without needing to call. It only offers specific types of appointments with the right provider and makes it easy to cancel and reschedule, so no-shows are less likely. This also increases providers' capacity, giving patients more options so they can see their doctor sooner. Mobile registration complements digital scheduling by allowing patients to complete registration forms anytime, anywhere. Automated registration prefills information held on file to minimize paperwork, which is good news for the 85% of patients who do not want to fill out paperwork if they've already provided the information. Reducing manual errors also reduces delays so that patients can get on with their visit. 2. Help patients understand their insurance coverage and bills Patients and providers both cite financial challenges among their top priorities for improving patient access. More than eight in ten patients say pre-service price estimates help them prepare for the cost of care, while more than half say they need their provider's help to understand what their insurance covers. Providers should consider digital tools that support transparent pricing and billing to improve patients' financial experiences. Experian Health's Patient Payment Estimates generates accurate, upfront estimates of what a patient will owe, incorporating real-time pricing information, benefits and discounts. Estimates and secure payment links can be sent to patients via text or through the web-based app for a convenient and user-friendly payment experience. Additional tools can help patients find missing coverage and identify suitable payment plans, empowering patients and accelerating collections for providers. 3. Explore how automation and AI can support a better patient experience The growing use of AI will continue to reshape all aspects of care. By processing vast amounts of information at an unprecedented rate, AI presents exciting opportunities in patient access: keeping patients informed, generating performance insights and reducing the errors, delays and bottlenecks that come with manual processes. One of the highest-ranking challenges for providers in the State of Patient Access survey was the difficulty of managing multiple solutions to run patient eligibility and coverage checks. Patient Access Curator uses AI to address this with a single-click solution that captures all patient data at registration. It checks and verifies eligibility, Medicare Beneficiary Identifiers, coordination of benefits and demographics, delivering results in just 30 seconds. This prevents denials on the front end and takes the pain out of registration and scheduling for patients. Read the blog: How Patient Access Curator uses real-time, automated discovery to prevent denials and improve patient access Put patients in the driver's seat in 2025 As competition intensifies with new providers and disruptive technologies entering the market, patient satisfaction will no longer be optional — it will define success in 2025. Investing in digital patient access tools gives patients the autonomy, choice and convenience they crave as modern digital consumers. Simplifying and streamlining access will not only help meet and exceed patient expectations, but will help providers future-proof their operations and build a sustainable revenue cycle for the years ahead. Find out more about how Experian Health's patient engagement solutions will help providers improve the patient experience in 2025. Patient Engagement solutions Contact us