Tag: claim denials

“Data is cleaner throughout all the downstream systems. Our refreshed power reporting now provides encounter-level data, which offers more actionable insights for our client's operational teams.”-Cindy Biggio, Director of Patient Accounting at Virtua Health Challenge Virtua Health is a large New Jersey health system with over 2,000 staffed hospital beds across multiple locations. An inefficient Notice of Admissions (NOA) process was becoming unsustainable for inpatient admissions, putting revenue at risk. “Manually faxing NOAs to payers was an administrative nightmare,” says Ginny Norton, Lead IT Applications Analyst at Virtua Health. “Tracking the sheer volume of NOAs and ensuring they reached the payers on time was time-consuming. The process was inefficient and risky.” Missing a payer's NOA deadline for an inpatient stay can result in reimbursement denials for the entire duration of the patient's stay, which jeopardizes cash flow. At Virtua, connectivity issues, faulty fax machines and human error left the revenue cycle team without a reliable way to track NOA submissions or challenge payer denials. This increased the likelihood of missed deadlines and delayed payments. Adhering to different rules and deadlines for multiple payers made the process even harder to control. The pressure was on to find a scalable solution that would prevent further revenue loss by: Minimizing manual work for admissions staff and insurance verifiers Ensuring NOAs were submitted on time and within each payer's deadline Improving efficiency by freeing staff to focus on more urgent tasks Streamlining the process of requesting additional payer connections. Solution Switching from manual to automated NOAs was the obvious way forward. Cindy Biggio, Director of Patient Accounting at Virtua, says Experian Health's Notice of Care solution, featuring Notice of Admissions (NOA) functionality, was a natural fit, due to its easy integration with their existing Epic® set-up: “Based on recommendations from other Epic health systems and Experian's integration with Epic, choosing Notice of Care was a logical decision for us. We were already using other Experian Health solutions, so it made sense to build up the portfolio of products we were already using.” Because Experian Health's NOA operates within the eCare NEXT® eligibility platform, Virtua staff can manage it within their existing workflows. NOAs are triggered as soon as a patient's insurance eligibility is verified. Submissions are sent directly to payers within their required timeframes, with patient and procedure information automatically pre-filled to save time and reduce data-entry errors. Each request is formatted according to the payer's rules, while incoming payer responses are standardized so staff can view them all in a consistent way. While faxes remain a feature of payers' NOA processes, this tool makes handling them much easier. It captures key information from each fax, links it to the appropriate order, and then sorts and converts data from multiple document types so staff can look it up quickly. This is a major improvement on the previous approach, which required staff to monitor and update submission status by hand and liaise with a clearinghouse over delays and errors. Norton says that working closely with the Experian Health team was key to easy implementation: “Clear onboarding processes for existing and new team members helped maintain smooth operations, along with opportunities to seek feedback from staff so we could keep making improvements… Overall, the implementation process and transition to 'go-live' were smooth. Our staff adapted to the changes well. There was far less chaos without having to manage a mountain of paper. It reduced the volume of manual work and freed up time for other tasks. Onboarding was relatively easy.” Read more about how automation reduces administrative costs in healthcare. Outcome Since implementing NOA, Virtua Health has seen immediate improvements across its revenue cycle operations, including: Less manual work, as automation allows staff to operate more efficiently Quicker and more accurate submissions, resulting in fewer denials and more revenue Smoother dispute resolution, thanks to electronic paper trails Better compliance with payer requirements. “Data is cleaner throughout all the downstream systems,” says Biggio. “Our refreshed power reporting now provides encounter-level data, which offers more actionable insights for our client's operational teams.” The solution also fulfills Virtua's need for a scalable approach to NOAs. Instead of classifying new payers by operational platform, staff can now add all payers through one system. Should payer requirements change, Virtua will be ready to adapt. In addition to preventing revenue loss, NOA has had a meaningful impact on staff satisfaction. The solution has lightened workloads, improved day-to-day efficiency and enabled remote work by eliminating repetitive administrative tasks. Freed from the need to visit payer websites or call up payers for admission notification and status updates, staff can focus on more complex tasks and pay more attention to the patient experience. This benefits staff and patients, and positions Virtua as an attractive employer in a tight labor market. Looking ahead, Norton says Virtua will focus on adding more payers and continue using Experian NOA data to improve processes: “We'll keep listening to our staff, who are heads-down in the work, to see if we need to make changes to improve workflow. Moving forward, leadership will decide on adding more solutions based on the needs of our patients, staff, market and operations. We're excited to see what's next.” Learn more about how Experian Health's Notice of Care solution, with Notice of Admissions functionality, automates and integrates NOAs, resulting in fewer errors and faster payments. Learn more 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

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

“Reducing denials upfront would improve our revenue, which could be channeled into current and future investments that support our mission.”—Joshua Gayman, Revenue Cycle Manager at UT Medical Center Challenge The University of Tennessee Medical Center (UT Medical Center) is a leading 710-bed acute care hospital with a rich history of exceptional patient care and award-winning services. During the pandemic, the hospital faced revenue losses of around $45 million that put serious strain on its capacity to invest in bigger and better facilities. UT Medical Center needed to find a strategy to recover some of this revenue by reducing claim denials at the point of patient registration. UT Medical Center relied on eligibility checks that often missed errors in patient registration, resulting in increased claims denials, costly reworks, and wasted staff time. The hospital urgently needed a solution to help staff identify and resolve potential patient registration errors in real time to prevent denials before they occur. Finding a more efficient way to capture accurate patient and benefits data would be essential. Proactively preventing claim denials would provide the hospital with a much-needed boost in cash collections and free up staff to focus on patient care. Solution To address its claims denials challenge, UT Medical Center partnered with Experian Health and implemented Registration QA, a solution designed to find and fix registration errors upfront. Now, when patients first arrive, front-end staff enter their data to verify insurance. If Registration QA finds an error, it alerts staff in real-time so they can resolve it within 72 hours. Alongside more than 400 alert rules curated by Experian Health, UT Medical Center also built custom alerts based on the organization's specific requirements, using demographics and benefits data. The tool easily integrates with existing workflows, and its configurable dashboard gives UT Medical Center Management detailed insights into department performance and allows staff to track trends and identify areas for improvement. This proactive approach to correcting errors significantly reduces the risk of downstream denials and helps patient registration staff take proper corrective actions for their errors without management intervention. More accurate patient registration is also better for patients, as fewer errors make for a smoother intake experience. Outcome UT Medical Center successfully optimized patient registration by using Registration QA to identify registration errors before and at the point of service, reducing denials and boosting revenue. In the 12 months after implementing Registration QA, UT Medical Center saw the following results: Now that registration errors can be identified before and at the point of service, UT Medical Center has seen initial denials drop from an average of $5 million per month in 2022 to just $1.7 million in 2023, representing a 66% decrease in average monthly initial denials value. Cash write-offs also decreased, dropping 57% from an average of $1 million to just over $400K, helping the organization keep bad debt low. Gayman notes that UT Medical Center's partnership with Experian Health was central to its success. Experian Health shared the organization's vision and provided weekly support to help realize it. They developed a customized curriculum to make sure staff were confident using Registration QA and offered insights into what was happening more widely in the industry, so UT Medical Center's team could benchmark their performance against similar organizations. Thanks to these savings, the hospital can increase its capacity to invest in new projects and deliver operational excellence, while improving patient satisfaction. Find out more about how Registration QA helps healthcare organizations minimize denials and increase cash flow through accurate patient registration. 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

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

Patient eligibility verification is a critical part of the healthcare revenue cycle. It can help prevent errors with claim submissions, reduce denials, boost the bottom line, and help patients understand what their insurance will cover. However, checking insurance eligibility isn't always efficient or accurate, thanks to outdated systems and complicated manual processes. Ever-evolving payer requirements and new regulations, like the No Surprises Act, add even more complications during insurance eligibility checks. In 2024, providers also treated more patients than they did five years ago, making it harder to keep up with patient eligibility verification. This growing volume of patients have more complex health issues and may struggle to afford medical bills, putting a more pressing urgency on providers to run accurate eligibility checks before service. Having the right health insurance eligibility verification solution can make or break a provider's revenue cycle and allow staff to stay focused on patient care instead of digging for insurance information and correcting errors. This article takes a closer look at why patient eligibility matters, common challenges providers face and strategies to improve insurance eligibility checks, reduce payment delays and minimize denials. What is patient eligibility verification? Patient eligibility verification is an administrative process providers use to check whether or not patients have active medical insurance. It's typically completed before service occurs to confirm coverage for treatment and care. Sometimes called a health insurance lookup, the eligibility check verifies different aspects of a patient's coverage, including insurance status, coverage details and medical service benefits. During patient eligibility verification, billing information is also confirmed. Why is it critical for healthcare providers? Patient eligibility verification offers providers a first line of defense to protect revenue cycles against revenue leakage. It can help healthcare organizations with accurate billing, reduce claims denials and avoid footing the bill for uncompensated care. When eligibility checks are conducted diligently, providers see improved cash flow, staff efficiency is gained, the risk of bad debt is lower, and patients are empowered with accurate upfront estimates. The importance of patient eligibility verification Claim denial rates are growing and show no signs of slowing down. Experian Health's State of Claims 2024 survey reports that nearly three-quarters of respondents saw a rise in denials, with four in ten saying claims are denied 10% of the time. Eligibility issues, along with missing or inaccurate data, are a top reason for denials, according to 15% of providers surveyed. A reliable eligibility verification process is crucial to minimizing the claim denials, rework and billing errors that arise from inaccurate insurance information. It also lets patients know their financial responsibility upfront so there are no surprises when the bill comes. This trust and transparency fosters positive patient-provider relationships while ensuring patients get the care they need and providers get paid. Common challenges in patient eligibility verification Findings from Experian Health's State of Patient Access and State of Claims surveys point to several common challenges in patient eligibility verification. Evolving payer policies and pre-authorization requirements Insurance provider prior authorization requirements change often, making it hard for providers to keep pace. More than 75% of providers report an increasing amount of payer policy changes, and secondary eligibility checks take time and impact efficiency. When a necessary authorization is missed due to manual verification or rushed eligibility checks, it can result in denial, delayed payment and extra work – especially when care is urgent. Incomplete or outdated insurance information Insurance details in the provider's system don't always match the payer's record. This can happen for a wide range of reasons, including job switches, insurance plan changes or patients not being aware of or forgetting to mention secondary coverage. When these changes aren't caught before service, they can lead to rejected claims, billing delays and extra work for staff.  More than four in ten providers report adding at least 10 minutes of staff time per incomplete eligibility check. Inadequate technology to verify eligibility Staff must often wrangle a wide range of disjointed solutions, processes and logins during eligibility checks. While more than 70% of providers feel their organization runs insurance verification checks efficiently and accurately, nearly 60% of providers still use at least two different tools to gather the necessary patient information for claim submission. This can make navigating patient eligibility verification tedious and error-prone, and leads to staff burnout, denied claims and patient dissatisfaction. Strategies to improve patient eligibility verification In today's changing health insurance landscape, providers need to pay more attention than ever to their patient eligibility verification processes. Accurate and timely insurance verification streamlines the claims process, clarifies how bills will be covered (or not) ahead of time and helps patients prepare to pay their bills. Adopting the following strategies to improve patient eligibility verifications can help providers reduce the risk of denied claims, improve the revenue cycle and create positive patient experiences. Automate eligibility verification processes Verifying coverage early in the billing process increases the chance of submitting clean claims the first time. However, it can be tedious for providers to navigate outdated methods like online portals, file batching, automated systems and stay on top of ever-changing payer policies. Automated eligibility verification software helps providers optimize intricate insurance checks, access verified and comprehensive resources to confirm eligibility (with solutions like the MBI Lookup tool), and improve efficiency. Automatically track changing payer policy requirements With payer requirements undergoing constant updates, providers need to have access to solutions that keep up in real-time. Eligibility Verification, for example, seamlessly connects to more than 900 payers and features advanced patient matching tools. It can also be used with Experian Health's automated prior authorization tool, which tracks national payer requirements and flags providers when mandatory pre-authorization information is missing. Offer upfront, accurate cost estimates Patients want to know their financial responsibility up front. When armed with accurate estimates that help patients understand their coverage, co-pays and deductibles, more than 80% of patients say it helps them prepare financially. Eligibility tools allow providers to create more accurate estimates based on actual insurance coverage. This helps patients know what they're responsible for out-of-pocket and reduces surprise billing. Patient eligibility verification is more critical than ever in ensuring smooth and efficient revenue cycle management. With rising patient volumes, evolving regulations and other challenges impacting revenue cycles, providers need to maintain accurate insurance eligibility checks to reduce costly errors, streamline workflows and improve claims success rates. More importantly, accurate eligibility checks empower healthcare staff to focus on delivering quality care, while helping patients better understand and manage their financial responsibilities. Find out more about how Experian Health's insurance eligibility verification solution helps revenue cycle managers prioritize reimbursements with automated eligibility checks. Learn more Contact us