All posts by Experian Health

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

Experian Health's State of Claims survey finds that for many providers, it's getting harder to submit clean claims and taking longer to get paid. More than half say their current technology can't keep up. With revenue at risk, choosing the right denial management software is increasingly important. What features should healthcare organizations look out for to prevent denials and improve financial performance? Why denial management software is essential 11% of respondents in the State of Claims survey said that claims are denied more than 15% of the time, while the administrative cost of submitting and reworking claims continues to rise. Revenue cycle leaders are all too familiar with the challenges driving the denials trend: Frequent updates to payer policies, which make it harder for staff to be sure their submissions comply with the latest rules Incomplete or inaccurate data, such as missing codes or demographic errors, Staffing shortages put pressure on overworked teams, leading to higher error rates and slower response times Reimbursement delays, which tie up revenue and increase the cost of follow-up. Managing these issues is time-consuming and expensive. Speaking to the AAPC, Clarissa Riggins, Chief Product Officer at Experian Health, says that without a robust denial management strategy, providers risk falling further behind. “This growing crisis is a sign that traditional approaches are no longer enough, and providers should adopt more proactive strategies and the latest technology,” she says. Denial management software can help. By automating error detection, tracking payer requirements and helping staff prioritize high-risk claims, it can reduce denials and strengthen overall revenue cycle performance. According to the CAQH, just switching from manual to digital claim submission could save the industry up to $2.5 billion annually. Artificial intelligence (AI) and machine learning, used in solutions like AI Advantage™, can take those savings even further. Key features to look for in denial management software To make a real impact, healthcare denial management software must do more than just track denials. The best solutions offer faster responses, deeper insights and greater efficiency across the revenue cycle. Here are a few core features to seek out: Real-time claim monitoring Does the software alert users the instant a claim is denied? Real-time claim status updates are critical for minimizing delays and missed follow-ups. Automated alerts allow teams to act immediately when a claim is denied, preventing lost revenue and streamlining appeals before a backlog builds up. Tools like AI Advantage can also automatically detect payment pattern changes made by payers, so billers don't have to. Automated workflow  Can it reduce time spent on repetitive manual tasks? Ideally, the software will streamline submissions by auto-populating forms, attaching documentation and routing tasks to the right team members. This minimizes errors, shortens appeal cycles and frees up staff for higher-value tasks. Artificial intelligence Can the platform use AI to prevent denials before they happen (and prioritize the ones worth pursuing)? Experian Health's AI Advantage does this in two ways. First, it uses AI to analyze historical trends to flag high-risk claims before they're submitted, helping teams correct issues early and prevent denials altogether. Second, it identifies denials with the highest chance of a successful appeal, so staff can prioritize their time and improve overall recovery rates. Watch the webinar: Eric Eckhart of Community Regional Medical (Fresno) and Skylar Earley of Schneck Medical Center share how AI Advantage has helped them reduce denial volume, accelerate reimbursement and reduce time spent working low-value denials. Analytics and reporting Does it provide clear insights into why claims are denied? Advanced analytics identify denial patterns across payers, procedures and departments. A tool that offers denial-specific performance indicators, like denial rate, overturn rate and days to resolution will support smarter, faster decisions and long-term process improvements. Keri Whitehead, System Director of Patient Financial Services at UC San Diego Health, explains how AI Advantage gives her team actionable insights to get ahead of denials: Integration capabilities Can it connect seamlessly with current systems? A strong denial management platform should integrate smoothly with electronic health records, practice management systems and billing software. This eliminates data silos, reduces manual data entry and allows staff to work within familiar workflows. Experian Health's “Best in KLAS” claims management solutions can be used to build a single, connected system for greater visibility, fewer duplication errors and faster processing, to prevent denials without adding administrative overhead. Steps to evaluate denial management software Choosing the right claim denial management solution starts with a clear understanding of the organization's unique challenges and goals. Healthcare leaders should consider the following steps during the selection process: Define organizational needs. Identify the most pressing denial challenges, such as high denial rates, slow appeals or limited visibility, and prioritize software that directly addresses those issues. Evaluate integration compatibility. Confirm that the software integrates smoothly with existing systems to avoid data silos or workflow disruptions. Assess scalability. Ask potential vendors about how the solution will grow with the organization and adapt to changing claim volumes, payer mixes and regulatory demands. Review vendor support and training. Look for a partner that offers responsive support, user training and ongoing product updates. Request a demo or trial. The best way to figure out if a new platform will be a good fit for the organization is to see it in practice and let key team members try out its automation, interface and analytics for themselves. Book a demo of AI Advantage to see how it can help providers predict and prevent denials. Best practices for implementing denial management software Once the denial management software has been chosen, the final step is to make sure it's implemented successfully. This calls for good planning, team buy-in and ongoing evaluation. A few best practices to steer the process are to: Engage core teams early to ensure the software fits with their existing workflows and organizational goals. Make sure there's a shared understanding of what success looks like, using KPIs like denial rate reduction or faster appeals to measure performance and ROI. Provide thorough training to equip staff with the skills needed to use the system effectively. Regularly review software performance, denial trends and user feedback to refine processes and settings. By following these steps, organizations can maximize the impact of their new healthcare denial management software and turn a reactive process into a strategic advantage. Find out more about how Experian Health's denial management software, like AI Advantage, helps providers predict, prevent and process denials for faster revenue recovery. Learn more Contact us

Since 2000, US hospitals have provided nearly $745 billion in uncompensated care. Many contributing factors lead to revenue losses. However, incorrect or missing patient insurance information is often a top culprit. Providers don't have a complete picture of a patient's coverage when active benefits are incomplete or unknown. The result? Insurance denials, time wasted on resubmissions and increased bad debt. In today's complicated healthcare environment, disjointed insurance verification processes often make it challenging for providers to find hidden coverage. Changing payer requirements and ever-evolving regulatory changes also make checking active coverage tricky. To protect profits, organizations must remain vigilant when finding all available patient insurance coverage to pay for the cost of care. Adopting technology, like automated coverage discovery solutions, can help providers accurately and quickly determine what insurance a patient has, if any, and what it covers. This article takes a deeper dive into some common insurance discovery challenges providers face and how Experian Health's Coverage Discovery® helps streamline the process and reduce revenue losses. Why insurance discovery matters A healthcare organization's financial performance hinges on accurate insurance billing and claims processing. Insurance discovery helps employers find missing coverage quickly and maximize reimbursement. However, providers often don't have the correct insurance information. Missing coverage is cited as a top reason for claim denials for nearly 20% of providers, according to data from Experian Health's State of Claims 2024 survey. Patients may enroll in a new employer plan, move to a new state, switch jobs or have other factors affecting their coverage. Changes can happen at any stage in the patient journey. In some cases, patients may not be aware of what's changed. Evolving payer policies also result in altered or expired benefits, further complicating matters. Common challenges in insurance coverage identification Insurance coverage identification is a necessary part of revenue cycle management, but isn't always a streamlined process. Some of the common challenges providers face during coverage discovery include: Incomplete insurance information Missing or outdated insurance information affects all aspects of the revenue cycle, from claims processing to bill payment. However, it's common for patients not to submit their complete insurance information to providers or forget to update paperwork after initial registration. Patients often don't know their coverage status or are unsure how much of their healthcare costs are paid for by insurance – especially Medicare beneficiaries. When providers fail to spot incomplete or inaccurate patient insurance information, it leads to coverage gaps, claims denials and unpaid medical bills. Heavy manual workload for administrative staff With healthcare organizations already feeling the squeeze of continued staffing shortages and rising operational costs, providers can't afford to waste valuable staff time. Unfortunately, manual insurance coverage identification processes are typically time-consuming and error-prone. Phoning payers, logging into multiple portals and manually entering patient data places added burdens on staff. In many cases, providers only learn that a patient's active benefits have changed after the claim has been submitted. Correcting errors takes time, with 43% of providers reporting that they need at least 10 extra minutes to check eligibility after an incomplete initial check. Changing payer requirements and new regulations During coverage discovery, providers must consider payer requirements and regulations. However, it's not always easy for staff to stay on top of ever-evolving payer requirements and new healthcare industry regulations. During coverage discovery, providers often manually gather information from multiple databases and may miss important updates or have incomplete or inaccurate coverage information. How insurance discovery typically works When a patient seeks care, providers use health insurance discovery to check whether a patient has active insurance and confirm coverage details, like plan type and payer name. The coverage discovery process helps providers know if a payer will cover planned services and ensures the cost of care is billed to the correct payer. It's also common for a patient to have more than one active plan. So coverage discovery typically involves cross-checking payer databases to verify that no coverage is missed. In cases where a patient doesn't have insurance coverage, providers can use insurance discovery to check a patient's Medicaid eligibility and charity support options. Successful revenue recovery starts with a patient engagement strategy that simplifies the steps to reimbursement at every patient touchpoint. A three-pronged approach can increase the likelihood of payment by identifying the opportunities to check for coverage before the patient comes in for care, at the time of service, as well as after care. 1. Pre-service insurance coverage checks Verifying and tracking the patient's insurance status before they come in for care means their financial obligations will be clear from the start. Advanced knowledge makes it much easier for patients to plan – and pay ­– their medical bills. An automated coverage identification solution such as Experian Health's Coverage Discovery solution can scan patient information as soon as they schedule an appointment to find any previously unknown coverage, using multiple proprietary databases and historical information. 2. Identifying coverage at the point of care When the patient receives their treatment, Coverage Discovery can check for any billable commercial and government coverage that may have been missed during pre-service. Integration with eCare NEXT® and HIS/PMS platforms provides on-demand insurance coverage scans at the time of service. Providers should also give patients opportunities to pay for care at this point too, to avoid the need to chase for payments later. A simple and quick payment experience can reduce the risk of additional A/R days and collections agency fees. 3. Post-service checks for unidentified coverage Finally, for any accounts that haven't been settled at the point of care, providers should run further coverage checks before determining whether to send statements and payment reminders to the patient, write the amount off as bad debt, or engage a collections agency. Coverage Discovery can detect any discrepancies that could lead to denied claims. This solution scans patient balances in A/R for active insurance coverage 30, 60, and 90 days post-service. It also offers weighted confidence scores so that accounts are reclassified and rebilled appropriately. Automated scrubbing can eliminate manual processes so staff can use their time more efficiently. Coverage Discovery also does a final scrub scan on patient balances before sending accounts to collections, or writing off to charity or bad debt. These steps will help plug revenue leaks at every stage of the patient journey, improving cash flow, reducing the risk of bad debt, and creating more satisfying patient experiences. How insurance Coverage Discovery benefits healthcare providers In 2023, Experian Health's Coverage Discovery successfully tracked down previously unknown billable coverage in nearly one-third of patient accounts, resulting in more than $25 million in found coverage. Providers seeking to maximize revenue can benefit from automating the insurance discovery process with Coverage Discovery. Here's how: Quickly find missing insurance coverage in real-time Experian Health's Coverage Discovery helps providers catch outdated insurance information and locate missing coverage early. This helps ensure changes to a patient's benefits are caught before a claim is submitted. With real-time access to multiple proprietary databases – like employer information, historical search information, registration history and demographic validation – providers can proactively identify billable Medicare, Medicaid and private insurance options. Needing only minimal patient details for a search, Coverage Discovery instantly locates additional primary, secondary and tertiary insurance. See it in action: How Luminis Health used Coverage Discovery® to find $240K in billable coverage each month. Eases administration burden on busy staff Heavily manual processes and outdated insurance information cost providers time and money during insurance discovery and throughout the revenue cycle. Coverage Discovery streamlines discovery behind the scenes and saves staff time by running continuous checks throughout the patient journey. When staff isn't bogged down with tedious insurance discovery processes, they can focus on more complex tasks and providing quality patient care. See it in action: How UCHealth secured $62M+ in insurance payments and saved $3.5M+ in 2022 with Coverage Discovery. Reduces the likelihood of claims denials Claim errors, such as the wrong payer information or coverage information, often result in delays, denials or bad debt. However, when insurance discovery is automated with a solution like Coverage Discovery, the process is faster and no longer relies on error-prone manual tasks.  Providers benefit from cleaner claims, a more streamlined claims submission process and quicker payer reimbursements. Choosing the right automated insurance coverage discovery solution Experian Health's comprehensive coverage identification solution, Coverage Discovery, helps providers make the reimbursement process easier to navigate and reduces the burden on front and back-end staff. This automated solution is capable of operating at every touchpoint of the patient journey, from registration to collections. Learn more about how automated health insurance discovery helps providers reduce claim denials, improve cash flow and deliver better patient experiences. Learn more Contact us

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

Providers and payers have an obligation to fulfill contractual obligations to one another. However, mistakes happen, and when they do, they can be costly. More and more, providers are turning to healthcare contract management technology to ensure accountability, protect against revenue losses and streamline efficiencies – all while improving the relationship between providers and payers. Finding the right contract management solution (and technology partner) is critical for contract managers who want to meet the challenges of today and tomorrow head-on. This article explores how healthcare organizations can benefit from adopting contract management technology and key features to look for when choosing a contract management solution. Understanding healthcare contract management Healthcare providers need reassurance of proper reimbursement, while payers are focused on cost control. Healthcare contract management encompasses the many processes providers use to negotiate, execute and audit payer contracts. As services (and financing) evolve in complexity, contract management helps providers and payers avoid costly disputes and maintain effective working relationships. A robust contract management system in healthcare quickly and efficiently pinpoints potential issues to ensure providers are paid per contract terms and payment policies — maximizing revenue recovery. Challenges in managing healthcare contracts Managing healthcare contracts can be complicated. Key challenges in healthcare contract management often include: Complex negotiations: Managing thousands of contracts with multiple plans and provisions can be time-consuming and overwhelming, especially with ever-evolving regulatory requirements. Limited data visibility: To evaluate contract terms effectively, contract managers need to factor in performance data for existing contracts and current figures for patient mix and volume, which can be challenging when accessing the right data and models is difficult. Claim denial conflicts: Payers reportedly deny 15% of all claims initially. When claims are denied, it can lead to disputes over payments and contract interpretations, straining relationships and disrupting revenue cycle performance. Inefficient processes: Disjointed paper processes, manual systems and miscommunications often lead to errors, delays and wasted dollars during contract management. Benefits of healthcare contract management technology Healthcare organizations that embrace contract management technology typically see the following benefits: Maximized revenue recovery Contract management software, like Experian Health's Contract Manager, increases revenue by validating reimbursements and reducing underpayments. Through automated oversight of payer contracts, providers are easily able to validate reimbursement accuracy by comparing expected allowed amounts to actual allowed amounts. Contract Manager also pinpoints variances buried in contract clauses, so providers avoid missing out on potential reimbursements, and provides support for contract-based appeals to recover underpayments. Stronger contract negotiations (and relationships) Contract management technology allows providers to evaluate existing contract results and use that information to assess proposed terms for new contracts. As a result, providers are empowered to negotiate stronger terms with payers. Improved contract negotiations often mean more effective communication and quicker resolutions, too, leading to stronger provider-payer relationships. Improved workflow efficiencies Automated workflows in contract management software combine data to process claims faster and at scale. This translates to a more predictable revenue cycle, improved cash flow and lower administrative costs. Instead of managing contracts, staff are freed up to focus on patient care and revenue-building activities. Hear how Experian Health's Contract Manager solution helped Boston Children's Hospital resolve underpayments and collaborate with payers to ensure every dollar is recovered. Key features to look for in contract management solutions Contract management technology helps healthcare providers stay ahead of some of the key challenges in healthcare contract management. Key features to consider in contract management solutions include: Scalability: Flexible single solution that enables users to easily audit claims across an entire organization – whether one medical group or a large health system. Automation of manual tasks: Accurate authorization rules and rates are automatically populated to reduce manual effort and potential errors. Real-time reporting: Configurable online dashboards that provide staff with immediate access to reimbursement reports to monitor contract performance and quickly compare expected and allowable amounts. Contract analyst team: Dedicated contract analysts assess the provider's contract terms, fee schedules, carve-outs and payment policies. Regulatory compliance: Built-in features, like contract mapping and claim valuation logic, that reduce the risk of audits and penalties, plus automated alerts to help providers make sure contracts remain with current healthcare regulations. Watch the webinar: Hear how OrthoTennessee used Contract Manager to validate reimbursements, pursue bulk appeals and recover underpayments at scale. Future trends in healthcare contract management As providers grapple with continued complexities in contract management, regulatory shifts and staffing shortages, contract management technology will likely remain an important tool for providers that want to level the playing field. Providers can benefit from choosing innovative solutions that help them stay ahead and do more with less – like Experian Health's Best in KLAS award-winning Contract Manager. Clarissa Riggins, Chief Product Officer at Experian Health, says, “In the ever-evolving healthcare landscape, our Contract Manager solution has once again been recognized as the #1 Revenue Cycle Management tool by KLAS for the third consecutive year. This prestigious ranking underscores the significant value our solution delivers to our clients by identifying underpayments and facilitating revenue recovery. We are honored to continue supporting our clients with innovative solutions that drive financial success and operational efficiency.” Find out more about how Experian Health's contract management software for healthcare providers validates reimbursements, reduces revenue loss and strengthens relationships with payers. 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

Missed payments, delayed reimbursements and rising debt are often symptoms of a struggling financial clearance process. According to Experian Health's State of Patient Access survey, more than six in ten patients say they'd feel more confident about covering their portion of healthcare costs if offered a payment plan. Still, many remain unaware of financial assistance that could further ease their financial burden. Automating financial clearance helps get patients on the right financial pathway as quickly as possible, resulting in streamlined collections and a better patient experience. In a recent on-demand webinar, Brandon Burnett, VP, Revenue Cycle at Community Health System, shared how his organization is using Patient Financial Clearance (PFC) for financial assistance automation, and to increase efficiency throughout the revenue cycle. By using Experian Health's data to quickly identify charity care eligibility and generate appropriate payment plans, they've been able to increase the amount covered by charity care by 30% and reduce bad debt without any additional staff. This article summarizes the key takeaways. Why automate patient financial clearance? Kim Berg, Director of Product Consulting and Optimization at Experian Health, set the scene by explaining how Patient Financial Clearance helps healthcare organizations assess patients' financial capacity and guide them accordingly. Using data like estimated income, spending habits and household size, the tool calculates Federal Poverty Level (FPL) percentages and assigns propensity-to-pay scores, so providers have a more realistic idea about what patients can afford. “We're not collecting pay stubs or tax returns,” Berg said. “We're using aggregated consumer data to estimate income and figure out the patient's ability and propensity to pay.” With this, health systems can quickly identify charity care eligibility and offer customized, affordable payment plans. “It's about understanding a patient's ability to pay and guiding them down the right financial path.” Using data to support state regulation compliance and automate financial clearance processes Rising healthcare costs and uncompensated care are the main motivations for improving presumptive charity screening. Berg noted that changes in state regulations add pressure, introducing additional checks for charity care eligibility before patients are sent to collections. “We're seeing more states passing legislation that introduces some kind of charity requirement,” she said. “We can provide the data to help prioritize those patients sooner in the process and work with you one-on-one to understand how the data can help you comply with state requirements.” Burnett said that automating presumptive charity screening with Patient Financial Clearance has helped his organization manage these changes, including California AB-1020. “We're using Experian's data to automate the decisions when patients apply. It means we don’t require any additional documentation or information.” It helps “move eligible patients out of accounts receivable and into charity approval faster.” Automating charity approvals to reduce manual work and bad debt Sharing a look inside Community Health System's financial clearance workflow, Burnett described how Patient Financial Clearance had led to a 30% increase in the amount approved in charity care compared to 2023, with no increase in bad debt. They comfortably handle an average of 1,400 applications each month, with only one to two full-time equivalent staff. “We've automated about 80-85% of our charity approvals,” he said. By integrating PFC data with Epic, the system automatically identifies charity-eligible patients and processes adjustments without staff intervention. “The adjustments happen automatically, the letters are generated, and nobody has to touch it. That's a huge efficiency gain for our charity team, because it's exception-based now,” he said. Finding additional efficiencies throughout the revenue cycle While Community Health System is also using Experian Health's Collections Optimization Manager to automate collections, they've also integrated PFC data into their broader collections workflow. “Using Collections Optimization Manager, we can identify patients through their propensity to pay, their presumptive FPL, and if they look like they would be approved for one of our financial assistance programs,” said Burnett. “We're also screening for bankruptcy and scrubbing to see if patients are deceased. So beyond PFC, Collections Optimization Manager is a great way to continue to leverage that data throughout your collection cycle.” He highlighted that Experian's support had helped them get even more out of automation. “Experian will come on-site and walk through the workflows. You don't always know what other organizations are doing or what's possible, so having that consultative approach has been so helpful.” These reviews helped uncover further opportunities to use PFC data, resulting in hundreds of staff hours saved. “We weren't even looking at these extra benefits at first,” Burnett said. “Experian pointed out that we could use the same data to automate more processes, and it ended up saving us hundreds of hours of staff time. That wasn't something we expected, but it's already paid for itself.” Using Patient Financial Clearance to improve patient experiences with self-service For Berg, two particular benefits of Patient Financial Clearance are worth highlighting for their impact on the patient experience. Firstly, it paves the way for more compassionate payment discussions with patients, by giving financial counselors a more complete picture of the patient's financial situation. “You can prioritize financial counselors' work queues to focus on certain patients first, because they're most likely to qualify for Medicaid or charity. You can offer estimates, and make sure patients understand their responsibility and their options,” she says. “If you understand your self-pay population sooner, you can guide them to the right path and free up more time. There's a lot of cost savings and resource savings downstream.” Secondly, Berg points out that many patients prefer to manage their financial assistance applications digitally, without recourse to a financial counsellor. “A lot of people want to handle everything on their mobile device or through a website,” she says. The recent State of Patient Access survey found that 56% of patients want more digital options for managing healthcare, while 67% want to be able to apply for financial assistance online. To support this, many Experian Health clients are using PFC's self-service options to allow patients to complete applications on their own, whenever and wherever it is most convenient. These include: Mobile links are sent via text message, with the option to submit an application through eCare NEXT® Websites and patient portals, where patients can apply and upload documents online. Offering these digital options meets patients' demand for more control over their financial journey, while reducing manual work for staff. “A great way to leverage data throughout the collections cycle” Community Health System's experience shows how automating financial assistance delivers value throughout the revenue cycle. Patient Financial Clearance helped accelerate and increase charity care approvals, reduce the administrative load for staff and lower bad debt, while ensuring patients receive the support they need. With a clearer understanding of each patient's financial capacity, Community Health System can proactively guide patients to the right pathway, making financial assistance more accessible and reducing friction when it comes to payments. The hidden benefits of using the same data to streamline collections are a strategic advantage for efficiency-conscious providers. As costs and complexities continue to trend upwards, data-driven automation is an increasingly useful way to improve financial health for both providers and patients. Learn more about how Patient Financial Clearance uses data to help healthcare organizations implement financial assistance automation, to improve patient satisfaction and increase collections. Learn more Watch the webinar

According to Experian Health's State of Patient Access report, patients want two things when it comes to medical billing and collections: clear insurance information and accurate cost estimates. Yet, when they ask, “How much will this cost me?”, many find themselves without a clear answer. Slower payments are an inevitable result. For providers, sub-par billing hurts revenue and limits investment in patient care. Modernizing patient collections with digital tools helps deliver accurate estimates, tailored payment plans and simpler ways to pay, while giving patients the financial clarity they desire. This article looks at the key components of patient collections, and how software-led solutions support a more transparent, patient-friendly and sustainable healthcare revenue cycle. How medical billing and collections impact the revenue cycle Every revenue cycle manager knows that unreliable billing and collections processes can throw the entire revenue cycle into disarray. A single mistake during patient registration, such as an omission in insurance verification or a typo in an address, can lead to inaccurate cost estimates, claim denials and delayed payments. Outdated collections methods force staff to spend valuable time clarifying and chasing payments, instead of focusing on patient care. When these billing inefficiencies pile up, the financial strain spreads beyond the revenue cycle, jeopardizing the organization's ability to make good on its core mission. A reliable medical billing and collection process is essential for both patient satisfaction and organizational resilience. Breaking down the collection process in medical billing To meet the needs of both patients and providers, an ideal medical billing and collection process should include the following components: Pre-visit insurance verification and cost estimates – At registration, staff verify coverage, confirm patient responsibility and provide an upfront cost estimate to prevent any surprise bills. Service and charge capture – Throughout treatment, clinicians document services accurately, and coding staff ensure all medical codes are correct, so bills and claims are error-free. Claim submission – With accurate data from the start, billing teams are set up to submit clean claims the first time and maximize the likelihood of reimbursement. Patient billing and payment – Once insurance processing is checked off, patients receive clear, itemized bills with links to convenient payment options. Follow-up and collections – Rather than pestering patients with phone calls, automated reminders sent via text or email give a less intrusive nudge to encourage timely payments. Healthcare organizations can offer flexible payment plans and, if bills remain unpaid, initiate a structured collections process that balances firm follow-up with compassionate financial counseling. How to optimize the process for maximum revenue If billing and collections teams are used to manual systems, making the switch to automated tools may seem daunting. Focusing on a few core principles, like transparency, accuracy and flexibility, will help ensure they prioritize areas that matter most to patients. Here are a few examples of how digital tools tackle the most common problems that get in the way of better billing and collections: 1. Problem: Patients don't understand their bills Fix: Provider accurate estimates and clear, itemized statements The State of Patient Access report found that 96% of patients want accurate upfront estimates. Yet, 64% did not receive them – and 14% said their estimates were wrong. Tools like Patient Payment Estimates software quickly pull together all the essential data to generate a more precise breakdown of who owes what. Patient Financial Advisor sends patients a pre-service text message with a secure link to their estimated patient responsibility, based on real-time rates, pricing and benefit information. Patients get instant confirmation of what they'll owe and the option to make a secure payment then and there. 2. Problem: Payments are delayed Fix: Offer online and mobile-friendly options With 60% of patients saying they want more online options to pay bills, providers that continue to rely on checks and phone calls are missing a major opportunity. Digital billing and payment methods remove friction and make it easier for patients to keep track of their bills and remember to pay. An integrated payment processing system like PaymentSafe® enables providers to collect payments 24/7 from an increased number of collection points. The tool automatically pre-populates fields in patients' accounts, allowing them to pay multiple bills simultaneously. 3. Problem: High administrative burden is taking a toll on staff Fix: Use technology to prioritize high-value accounts and automate follow-ups and reminders Automation can be a lifesaver for providers struggling with manual follow-up workflows, especially as increasing patient volumes outpace staffing levels. For providers, tools like Collections Optimization Manager help revenue cycle management staff collect more patient balances based on patient segmentation. This solution categorizes patients into different tiers according to their ability and likelihood to pay, using data analysis and predictive modeling. Collections Optimization Manager helps staff prioritize high-value patient accounts, so they don’t pursue uncollectable accounts and collect more with fewer resources. On a recent webinar with Experian Health, Kristen Shoup, Revenue Cycle Director at Wooster Community Hospital, shared how Collections Optimization Manager and automated patient text reminders reduced the administrative burden on staff while offering a more convenient way for patients to pay their balances. Read more about how automated collections strategies helped Wooster achieve a $3.8 million increase in patient payments. 4. Problem: Unpaid balances are piling up Fix: Implement flexible payment plans Patients who are worried about being able to afford their medical bills are more likely to seek out providers that offer flexible payment plans. Personalized plans allow patients to explore tailored payment options and break bills into manageable amounts. For example, Patient Financial Clearance screens patients for Medicaid or other assistance programs, and directs them to the most suitable payment plan. This reduces the risk of unpaid bills and means fewer accounts are written off to bad debt. See how UCHealth used automated financial clearance to identify $26 million in charity care. Strengthening the revenue cycle through better billing and collection practices Providers that listen to what patients say they need to help them stay on track with their financial responsibility will not only improve patient satisfaction, but also gain a competitive edge. Making the medical billing and collection process more compassionate and efficient drives higher collections, reduces bad debt and builds a revenue cycle that is both patient-centered and financially strong. Find out more about how Experian Health helps healthcare organizations improve patient billing and collections. Learn more Contact us