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Key takeaways: Experian Health’s State of Claims 2025 report is out now, detailing providers’ views on claims management and how these have changed since the survey began in 2022. Claim denials are still on the rise, causing providers to find faster and more efficient ways to submit clean claims the first time. When it comes to solutions, optimism about artificial intelligence (AI) is high, but uptake remains surprisingly low. AI-powered tools like Patient Access Curator™ and AI Advantage™ can help healthcare providers reduce claim denials while optimizing the claims management process. According to Experian Health’s State of Claims 2025 report, claim denials continue to negatively impact America’s healthcare providers. This quantitative survey of 250 healthcare professionals, carried out in June and July 2025, reveals providers’ concerns about rising denial rates, staffing shortages and uncertainty over whether payers or patients will ultimately pay. The findings show that providers are open to new claims processing and denial reduction solutions. However, while providers are enthusiastic about artificial intelligence's ability to ease the squeeze, only a small fraction are actually using it. This article highlights a few key takeaways from healthcare providers' statements about the current challenges in claims management and the factors that contribute to their responses. NEW: State of Claims 2025 Report Download the State of Claims 2025 report to see the full findings. Takeaway 1: Claim denials are on the rise again This year’s survey confirms what providers have been seeing for several years: claim denials are not letting up. In 2022, 30% reported that at least 10% of their claims were denied. By 2024, the figure had grown to 38%. Now, in 2025, 41% of providers say their claims are denied over 10% of the time. If this trend continues, how much further could denial rates climb? Claim denials are becoming a growing part of everyday operations, demanding more time, staff and resources. Margins that are already under pressure are strained further by missed reimbursements. And when insurers don’t pay, more of the bill falls to patients, many of whom are already struggling to manage medical costs. Half of respondents said they are “very or extremely concerned” about patients’ ability to pay, up six percentage points from last year. For many organizations, the question is not whether denials will continue, but how best to prevent them before the financial burden worsens. Blog: Denial prevention - Why manage denials when you can prevent them? Read more about how our claims management solutions help providers build effective denial prevention strategies and reduce lost revenue. Takeaway 2: How bad data leads to more healthcare claim denials The report lists several of the top triggers for denials, but inaccurate and incomplete data continue to stand out. More than half of providers (54%) say claim errors are increasing, and nearly seven in ten (68%) report that submitting clean claims is more challenging than it was a year ago. Many of these errors originate at registration. Incomplete or inaccurate information collected during check-in is now the third most common cause of denials, with 26% of respondents saying that at least one in ten denials at their organization can be traced back to intake errors. Every mistake sends ripples downstream, leading to costly rework, avoidable payment delays and unnecessary patient stress. Tightening up patient access processes and accurate data collection is one of the best things providers can do to curb denials. With that in mind, Experian Health’s Patient Access Curator is designed to help providers capture accurate data the first time. Using AI and machine learning, it consolidates eligibility checks, coordination of benefits, Medicare Beneficiary Identifier (MBI) verification, demographics, insurance coverage and financial status into a single workflow. This allows providers to: Quickly collect accurate patient information upfront Eliminate the need to re-run eligibility checks, which now take more than 10 minutes for over half of providers Reduce manual data entry errors that lead to downstream denials Free up staff time for higher-value tasks Case study: Experian Health & OhioHealth See how OhioHealth cut denials by 42% with Patient Access Curator and solved claim errors at the source. Takeaway 3: An AI paradox in healthcare claims: High optimism, low adoption Patient Access Curator is a great example of how AI can help address the data problems behind denials. But clean data alone isn’t enough. Errors and risks still emerge mid-cycle. Here, AI Advantage offers another application for AI, using predictive analytics to identify high-risk claims before submission and routing them for correction. It also triages denials based on the likelihood of reimbursement, so staff don’t lose time on unproductive rework. 69% of healthcare providers who use AI say that AI solutions have reduced denials and/or increased the success of resubmissions.State of Claims 2025 report | Experian Health The survey shows many providers are enthusiastic about AI's potential: 67% believe AI can improve the claims process, and 62% are very confident in their understanding of how AI differs from automation and machine learning, up sharply from just 28% in 2024. Despite this optimism, adoption is surprisingly low. Only 14% of providers are currently using AI to reduce denials. The survey suggests that even though the majority of AI adopters report fewer denials and more successful resubmissions, fear of the unknown seems to be slowing progress. Blog: Leveraging artificial intelligence for claims management Read more about how our AI-powered claims management solutions help healthcare providers improve reimbursement rates and reduce denials. Takeaway 4: Tech upgrades aren’t enough without integration Even if they remain on the fence about AI, providers are still moving to modernize claims management. Only 56% believe their current technology is sufficient to handle revenue cycle demands, a major drop from 77% in 2022. This explains why 55% are willing to completely replace their existing claims management platform if presented with a compelling return on investment. Much of the frustration comes from fragmentation. Nearly eight in ten providers say their organizations still rely on multiple solutions to collect the information needed for a claim submission. Switching between systems slows down intake, creates duplication and increases the risk of errors that feed directly into denials. An integrated solution like Patient Access Curator solves this problem by replacing a patchwork of tools with a single platform that manages intake and eligibility in one workflow. Information is captured in one place, reducing the duplication and errors that are inevitable when data is entered into multiple databases. Extending this with AI Advantage links front-end accuracy with back-office intelligence, giving providers a connected denial-prevention system rather than stitching together isolated fixes. With fewer tools to log into, staff can work more efficiently and focus on submitting cleaner claims. Explore how Experian Health is reshaping the way health systems manage Coordination of Benefits. Learn how automation and AI are eliminating manual errors, reducing denials and unlocking millions in recoverable revenue. Watch now > Closing the technology gaps in claims management to prevent denials The 2025 State of Claims report clearly shows that denials remain a persistent and costly problem for healthcare organizations. An overwhelming majority say that reducing them is a top organizational priority. Beyond the financial concerns, the survey reveals a system still held back by data errors, fragmented technology and delays. At the same time, there are hints of cautious optimism. Last year, many providers felt in the dark about AI and machine learning. This year’s survey shows that awareness of these technologies has grown considerably, even if adoption is still early. As the report sheds light on how leaders are weighing investments in new technology, the question now is whether providers can turn growing confidence in AI into action that delivers the results they need. To see the full picture of where claims management stands today, and where it could go next, download the State of Claims 2025 report. Download now Contact us

“Registrars used to wonder, ‘Do I run Coordination of Benefits? Which insurance is primary?’ Now Patient Access Curator does all that work and removes the guess work, and it does it in under 20 seconds.”Randy Gabel, Senior Director of Revenue Cycle at OhioHealth Challenge OhioHealth faced rising denial rates and inconsistent insurance discovery. Registrars relied heavily on what patients told them at check-in, without knowing if that information was complete or current. Forced to make judgment calls about whether to run Coordination of Benefits (COB) or check for Medicare Beneficiary Identifiers (MBI), staff could do little to avoid errors and denials. Randy Gabel, Senior Director of Revenue Cycle at OhioHealth, says, "We were sending claims with the wrong insurance simply because staff didn't know what to do next." They needed a reliable solution to identify coverage upfront – without asking patients to dig out old insurance cards or involving costly contingency vendors. OhioHealth's search became more urgent when a nationwide cyberattack hit the industry in early 2024. They needed a trusted revenue cycle partner to close the gaps in claims and eligibility workflows and prevent denials from the start. Solution To strengthen front-end revenue cycle operations, OhioHealth selected Experian Health's Patient Access Curator® (PAC). This all-in-one solution uses artificial intelligence (AI) and machine learning to check eligibility, COB, MBI, demographics and insurance discovery through a single process. This solution gave staff more accurate data in real-time. Although they had not worked with Experian Health before, the OhioHealth team was immediately convinced that Patient Access Curator fit the bill. Gabel says that during the evaluation, "Patient Access Curator discovered a whopping 18% more insurance on self-pay accounts than our current vendor. No other company or product found that much." PAC fits directly into existing workflows, so OhioHealth's 800+ staff members did not have to learn a new tool or change their daily processes. And with real-time insurance discovery and auto-population of coverage data into Epic, staff no longer needed to rely on guesswork and manual data entry. The tool's ability to automatically determine primacy and remove expired coverage meant staff could submit claims with confidence. "One of the primary reasons we chose Experian and Patient Access Curator was because it makes the manual work of revenue cycle much easier on the registration teams, which in turn improves productivity, empowerment and morale," said Gabel. Outcome When Patient Access Curator went live, the effects were felt almost immediately. Registrars who once spent valuable time debating which checks to run found that PAC handled those decisions automatically, and much faster. Manual searches were no longer necessary, and the system's accuracy drastically reduced the number of errors. These front-end improvements have boosted performance throughout the revenue cycle. Clean registrations meant fewer denied claims, less manual cleanup and faster reimbursements. PAC even uncovered insurance for accounts that had already been sent to collections, helping OhioHealth reduce reliance on contingency vendors and cut avoidable bad debt. PAC continued to prove its value long after it went live. Within the first year, OhioHealth achieved: 42% reduction in overall registration/eligibility-related denials 36% decrease in COB-related denials 69% drop in termed insurance-related denials 63% fewer incorrect payer-related denials $188 million in claims unlocked by reassigning staff and improving productivity What's next? Building on this success, OhioHealth's next steps are to expand their use of PAC by launching a patient financial experience initiative. This will allow patients to complete registration themselves and find their own coverage without waiting for a staff member to become available to help. Resolving more insurance issues upfront will deliver a faster, easier and more transparent registration experience from the start. With Patient Access Curator, OhioHealth has gone from losing time and money dealing with the downstream effects of claims errors to ensuring coverage accuracy at the source – while cutting denials by almost half. Along with a better experience for staff and patients, these gains have created a more resilient revenue cycle, ready to withstand whatever unexpected changes may be in store. Find out more about how Patient Access Curator prevents claim errors before they begin, helping teams submit clean claims and reduce denials. Learn more Contact us

Key takeaways: Survey data shows that healthcare providers find it harder to secure reimbursement for their services. Automation, staff training and analytics are the keys to preventing denials, improving accuracy and streamlining every step of the claims process. Experian Health's integrated claims management solutions are designed to close the claims gap and accelerate reimbursement. Claims management has become one of the most pressing challenges in healthcare billing. In Experian Health's 2024 State of Claims survey, 77% of providers said they were moderately to extremely concerned that payers won't reimburse them, largely due to changing payer policies and prior authorization requirements. Billing teams are left to work through dense code lists and figure out each payer's distinct playbook, often without the tools or time to catch mistakes. Managing claims efficiently is essential to ensure accurate and timely reimbursement. What is claims management in healthcare? Claims management is the process of preparing, submitting and following up on healthcare claims to ensure providers are paid for the care they deliver. It spans the entire revenue cycle, from verifying coverage during patient intake through final settlement. For revenue cycle teams, good claims management is what keeps finances on track. But with the volume of patients, claims and complex payer rules continuing to increase, the pressure is on organizations to tighten up their processes. Three key findings from the State of Claims survey show what they are up against, when compared with metrics from 2022: 73% of providers say claim denials are increasing 67% report longer reimbursement timelines 55% have seen a rise in claim errors Each denied or delayed claim adds to the administrative burden. However, when claims are submitted correctly the first time, staff can focus on patients instead of paperwork. The claims management process step by step Clean claims start with getting the basics right. "Once you let bad data in the door, it's like a virus," says Jordan Levitt, Senior Vice President at Experian Health. "Every action you take once bad data enters your system is wasting resources." Each of the following steps is a chance to keep the claim moving: Patient intake and verification Staff collect and verify patient demographic information, insurance details and eligibility at patient intake. If any of the information is missing or incorrect, the risk of denial increases immediately. Experian Health's flagship Patient Access Curator addresses this problem directly, using artificial intelligence (AI) and robotic process automation to automatically check and verify these details.   Case study: Experian Health and Exact Sciences See how Exact Sciences used Patient Access Curator to reduce denials by 50% and add $100 million to their bottom line in six months. Medical coding Coding is where clinical services become billable. Staff must select the correct codes from thousands of options covering diagnosis, procedure and supply. If the codes don't match the care provided or a modifier is left out, the claim will come back, leaving money on the table. Claim submission At this stage, all the key data is packaged together and sent to the payer, often through a clearinghouse. Claims should be reviewed line by line for errors before filing, but relying on manual processes is slow and highly risky. Automation offers a better chance at catching issues before the claim reaches the payer. Adjudication and payment posting Once the payer reviews the claim, they'll validate the services, apply negotiated rates and determine payment or denial. Payment posting closes the loop, allowing providers to reconcile accounts quickly and flag underpayments or errors needing further action. Denial management and appeals Not every claim gets paid the first time. When denials come in, teams need to know what went wrong to fix the issue and get the claim resubmitted quickly. Denial management software identifies the reasons for denials and organizes work queues for faster resolution. Patient billing and collections Anything insurance doesn't cover is billed to the patient. If the bill is confusing or shows up late, it's less likely to be paid. Upfront conversations, flexible payment options and convenient point-of-service collections can improve collection rates and patient satisfaction. Best practices for effective claims management Getting ahead of the claims challenge isn't just about fixing denials after the fact, but about preventing them in the first place. Automation, staff training and visibility into what's working (or not) all play a role. Implementing automation and technology Manual work and disconnected systems are a drag on reimbursement. Automation helps standardize routine tasks, reduce errors tied to human input and create consistent workflows that can handle sudden surges in patient volumes. AI takes this to the next level, by predicting denials, flagging coding errors or coverage issues before submission and prioritizing claims that need attention. For example: ClaimSource® is an automated claims management system that organizes claims activity from a single hub. This system makes claims editing and submissions more efficient, by performing customizable edits and checking for errors before submission. On the back end, AI Advantage™ uses AI and machine learning to predict claim outcomes and push urgent tasks to the front of the queue, so staff can spend time on the claims that matter most financially.   Case Study: Experian Health and Schneck Medical Center See how Schneck Medical Center used AI Advantage to achieve a 4.6% average monthly decrease in denials. Training and education for staff Successful claims management depends on a confident team. Staff should undergo regular training to stay current on payer rules, policy changes, coding updates and get support to understand new technology. To that end, Experian Health offers live training and on-demand webinars for teams to hear about the latest industry best practices and to see how others are using different tools. Hands-on consultancy support is also available to help teams get up and running with claims management products. Monitoring and analyzing claims data To improve claims performance, staff also need to be able to see where claims might be getting stuck. Tracking key performance indicators like clean claim rate, denial rate and days in accounts receivable helps staff spot issues. Integrated revenue cycle management tools bring everything together in one place so management can see the full picture and make sense of their data.   Blog: How to choose the right key performance indicators for your revenue cycle Find opportunities to prevent revenue leakage by building a healthcare revenue cycle KPI dashboard populated with the right medical billing metrics. Common challenges in claims management and how to overcome them Even with best practices in place, there will always be challenges and uncertainty. Claims pass through multiple departments, which means multiple opportunities for miscommunications or mistakes. Aligning workflows and claims management systems can reduce friction and help keep data secure. Another hurdle is managing the growing number of tools in use. The 2024 State of Claims report shows that one in five providers uses at least three revenue cycle solutions to pull together each claim, creating more complexity than clarity. Again, choosing claims management software from a single supplier will ensure a neat and efficient process. Finally, there's the challenge of meeting changing patient expectations. For 65% of patients, managing healthcare is overwhelming, especially when it comes to understanding costs and coverage. Organizations must maintain fast, accurate and transparent claims processing for better patient experiences. Next steps for strengthening your claims management approach The impact of claims management goes beyond the balance sheet, directly affecting patient satisfaction and operational efficiency. To move forward, healthcare leaders should ask: Are denial trends being tracked and addressed? Do teams have the tools and training they need? Is automation being used where it can make the most significant difference? Answering "yes" to these questions is the first step toward efficient claims management. With the right support, organizations can shift from daily firefighting to more predictable reimbursement strategies. Find out more about how Experian Health's award-winning claims management solutions help healthcare providers improve reimbursement rates and reduce denials. Learn more Contact Us

Key takeaways: Changes to Medicaid, Medicare and the Affordable Care Act provisions in H.R. 1 are expected to increase financial pressure across the healthcare system. Hospitals could face higher uncompensated care costs and a growing administrative burden as millions lose coverage and payer rules grow more complex. Revenue cycle leaders should focus on strengthening eligibility checks, improving claims accuracy, and automating operations to remain financially resilient. On July 4, the budget reconciliation bill known as the “One Big Beautiful Bill Act” was signed into law, introducing sweeping changes to Medicaid, Medicare and Affordable Care Act (ACA) marketplace plans. At almost 900 pages, H.R. 1 sets out new eligibility, coverage and funding rules that will reshape how hospitals are reimbursed. This article explains what revenue cycle leaders need to know about the reforms and offers practical strategies for maintaining financial stability. Understanding the healthcare implications of H.R. 1 The healthcare provisions in H.R. 1 reflect a broader push by lawmakers to contain federal spending and return more control to states. While the reforms are framed as efforts to improve fiscal sustainability, they also introduce new financial risks for hospitals, particularly those serving low-income and high-utilization populations. How does the Act affect Medicaid? Enrollment H.R. 1 makes major changes to Medicaid enrollment, with direct implications for hospital revenue and patient coverage. Starting in 2027, states will be required to run automated eligibility checks every six months for Medicaid expansion adults, and cross-check against federal databases to remove ineligible or deceased enrollees. The Act pauses implementation of a federal rule related to streamlining enrollment in Medicaid and the Children’s Health Insurance Program. Eligibility Eligibility rules are also changing. A new community engagement requirement will require some enrollees to demonstrate that they work, volunteer, or are in education for at least 80 hours a month, unless exempted. While aimed at reducing fraud, waste and misuse, changes to eligibility and enrollment could result in more patients losing coverage and increase churn and care gaps – particularly among vulnerable populations. Uncertainty around citizenship status could deter patients from seeking care, and even affect staffing in hospitals that serve immigrant communities. Cost-sharing and funding To ensure beneficiaries have a financial stake in their care, the law introduces cost-sharing requirements for some enrollees. Providers will need to be ready to help patients understand their costs and adjust collections workflows accordingly. There are also new financial penalties for states that fail to recover overpayments, and limits on how provider taxes and supplemental payments can be used to boost federal matching funds. Over time, these provisions could constrain how hospitals are reimbursed for Medicaid services, especially in non-expansion states. How does the Act affect Medicare? For Medicare, the Act offers some short-term financial relief along with longer-term reductions. Outpatient providers will see a 2.5% increase to the Medicare Physician Fee Schedule in 2026, partially offsetting inflation and COVID-related losses. However, spending cuts of 4% per year are projected to reduce Medicare funding by more than $500 billion over eight years, beginning in 2026. In addition, the law brings Medicare eligibility in closer alignment to Medicaid, by restricting access for individuals without verified lawful status or sufficient residency history. It also delays until 2035 a rule that would have made it easier for low-income beneficiaries to enroll in Medicare Savings Programs. The Congressional Budget Office (CBO) estimates that this means 1.38 million fewer beneficiaries  will be covered by MSPs. How does the Act affect the ACA? One of the most immediate concerns for hospitals involves the end of enhanced premium subsidies for low-income ACA marketplace plan enrollees. Unless Congress steps in, these will expire at the end of 2025, making coverage less affordable for many. This comes as insurers prepare to increase premiums by an average of 15% in 2026, the most significant rise since 2018. H.R. 1 also modifies eligibility and repayment rules around subsidies. Subsidies will no longer be available to individuals disenrolled from Medicaid due to immigration status. Starting in 2027, most enrollees in marketplace plans will need to verify their eligibility for premium tax credits each year, effectively ending automatic re-enrollment. Without these subsidies, over 4 million people are likely to be uninsured in 2034. For hospitals, this means more self-pay patients, delayed collections and higher uncompensated care, especially in areas with large working-age populations. Financial risks: Medicaid cuts and rising uncompensated care The CBO projects that over 10 million people could lose health coverage by 2034 due to combined Medicaid and ACA reforms. This is a major financial risk for hospitals, particularly safety-net and rural providers. The Center for American Progress suggests that uncompensated care costs could increase by at least $36 billion by 2034 – a figure that will be especially painful in the context of reduced federal funding. Some newly uninsured patients may not seek alternative coverage, potentially leading to higher emergency department use. Those with ongoing health needs are more likely to find new coverage, but hospitals could still see a smaller insured population overall, and it could well be one that is older, sicker and more expensive to treat. Revenue cycle teams should prepare for an increase in self-pay volumes and greater demand for charity care and financial assistance. Organizations in high-Medicaid regions may need to reassess cost estimation tools, financial assistance screening and collections workflows to manage the effects. Strengthening front-end access and eligibility workflows Jason Considine, President at Experian Health, says that providers can be proactive in ensuring their revenue cycle operations are ready to adapt and scale, if and when the time comes: “It’s an uncertain time. However, as we wait to see how the changes to coverage and reimbursement play out in practice, providers aren’t just looking for predictions. They need actionable strategies. Strengthening front-end eligibility and financial clearance processes is one of the most immediate ways to reduce risk and support patients through coverage transitions. Experian Health helps organizations do that by offering automated tools that uncover hidden coverage, verify eligibility in real time, and provide clear, accurate patient estimates.” Here are a few examples: Getting eligibility right. Patient Access Curator uses artificial intelligence to run multiple data checks at once, covering eligibility verification, coordination of benefits, Medicare Beneficiary Identifiers, demographics and coverage discovery. Minimizing the risk of uncompensated care. Patient Financial Clearance uses real-time data to identify patients who may qualify for charity care and recommends suitable payment plan options, while minimizing manual work for staff. Helping patients figure out their financial obligations. Patient Payment Estimates draws on real-time data, including insurance coverage, payer contract terms and provider pricing, to give patients an accurate breakdown of their treatment costs. This improves transparency and reduces the risk of missed payments. Case study: Experian Health and Exact Sciences See how Exact Sciences added $100 million to their bottom line in just two quarters with Patient Access Curator. Optimizing claims and collections in a tighter reimbursement environment In addition to strengthening front-end processes, providers need to ensure their back-end operations are ready to handle the ups and downs. Denied claims are already a major challenge for providers: in Experian Health’s 2024 State of Claims survey, 73% said denials are increasing and 77% report more frequent payer policy changes. More than half have seen a rise in claims errors, highlighting an opportunity for improvement. As automation and AI continue to advance, healthcare providers have a chance to improve claims management and reduce denials. Embracing these solutions can reduce the costly burden of reworking claim denials and improve cash flow. If claims workflows are already struggling, providers can’t afford any extra friction. However, the H.R. 1 reforms will likely increase the administrative burden and make timely reimbursement even harder to secure. This makes digital transformation increasingly urgent. Some priorities to tackle with automation and analytics include: Improving first-pass claim accuracy.  AI Advantage™– Predictive Denials  uses artificial intelligence, machine learning and predictive analytics to scan claims before they are submitted to root out errors and flag high-risk submissions so they can be corrected. It analyzes historical payment data and real-time payer behavior to determine whether a claim is likely to be rejected, so staff can work faster and more efficiently to increase clean claim rates. Streamlining claims management. ClaimSource® helps providers manage the entire claim cycle from a single application. Voted Best in KLAS for Claims Management and Clearinghouse for the last two years, the platform automates claim submission to reduce manual work and support cleaner submissions. It performs customizable edits, formats and submits claims, and allows staff to create custom work queues for greater efficiency. Using data to optimize collections. Collections Optimization Manager uses data-driven insights to help revenue cycle management (RCM) teams focus on the right accounts and collect more, faster. By segmenting patients based on their propensity to pay and screening out accounts unlikely to yield returns (such as deceased, bankrupt or charity accounts) the tool helps reduce the cost to collect and saves valuable staff time. Case study: Experian Health and Weill Cornell See how Weill Cornell increased collections by $15 million with Collections Optimization Manager. Preparing for volatility with scalable technology Revenue cycle teams can’t control policy changes or budget decisions, but they can control the systems that keep their operations running. Experian Health’s end-to-end revenue cycle solutions are designed to support this kind of operational resilience. From coverage discovery to claims analytics, scalable platforms give providers the flexibility to respond quickly to financial disruptions using consistent and familiar technology. “When so much is out of your hands, the smartest move is to focus on what you can control. Scalable tech gives RCM leaders that control, so when payer rules shift or self-pay volumes spike, they’re ready to respond without slowing down,” says Considine. “It also helps them stay ready for compliance shifts and respond faster to regulatory changes without overhauling their workflows.” Blog: Revenue cycle management checklist - improve experience and profits Get a practical checklist to optimize patient access, collections and claims management, while building a resilient and patient-centered revenue cycle. Readiness today protects financial resilience tomorrow The H.R. 1 bill has introduced significant changes across Medicaid, Medicare and the Affordable Care Act. New eligibility requirements, adjustments to reimbursement formulas, reduced subsidies and greater administrative complexity are all expected to influence how patients access coverage and how care is financed moving forward. While the long-term impact will vary by market and patient population, disruption is coming. Hospitals and health systems that rely on outdated workflows or fragmented technology will face growing challenges in managing changing coverage patterns and rising uncompensated care. As the specific effects of the “One Big Beautiful Bill” become clearer, revenue cycle leaders will be tasked with making fast choices under pressure. How will coverage changes affect patient behavior? What happens to reimbursement if eligibility gaps widen? The focus won’t just be on protecting revenue, but also on supporting patients who may be confused or anxious about what the new rules mean for them. The ability to track changes and adapt accordingly will be a competitive advantage for providers looking to stay ahead. Find out how Experian Health can help hospitals prepare for reforms by modernizing revenue cycle operations and reducing exposure to revenue loss. Learn more Contact us

Healthy revenue cycles rely on efficient patient collections. Collections processes that drag on can frustrate both providers and patients, leading to delayed payments, a high administrative burden on staff and unpaid balances piling up. For many providers, adopting collections optimization technology is a proven strategy to make the collection process more efficient, compassionate and patient-centered.   What is collections optimization in healthcare?  The title says it all: optimizing patient collections. More specifically, collections optimization in healthcare refers to technology-based solutions that streamline the patient collections process to collect a greater percentage of the money owed. Using data-driven, patient-centric insights, collections optimization solutions allow billing staff to efficiently identify patient payment capabilities, focus collection efforts and improve patient communications. Collection performance metrics are often built into collections optimization platforms and help providers continuously improve collections strategies over time. So, it's not simply a process to collect, it's a holistic approach to improving a health system billing team's cashflow, in addition to capturing revenue that's owed to the organization.   Key components of the collections optimization process  The collections optimization process typically includes specific key components to help providers accelerate patient collections strategies. For instance, Experian Health's Collections Optimization Manager solution has six foundational areas that save time and accelerate payments:  Screening: Cleans up accounts receivable data by screening patient accounts for bankruptcy, deceased, Medicaid and charity so that staff can spend their collection efforts on accounts that have a higher likelihood of payment. Collections staff often spend time on accounts that are deceased, bankrupt, or eligible for Medicaid or charity—accounts unlikely to yield payment. This diverts attention from accounts with higher recovery potential, ultimately impacting overall cash flow. With Collections Optimization Manager, this AR becomes more manageable, and staff can work high-yield accounts in-house, while saving time and money.  Segmentation: Uses credit, behavior and demographic data to help providers identify which accounts are most likely to pay. Experian Health has robust patient data and powerful predictive analytics that reveal which accounts are most likely to pay. By leveraging propensity-to-pay scores, providers can prioritize efforts where they'll have the most impact. This targeted approach helps increase collections while reducing time and cost to collect.  Routing and reconciliation: A data-driven rules engine builds routing and recall rules that distribute accounts to the internal and external servicing channels that are most likely to collect the amount owed and reconciles provider and agency inventory  Agency management: Offers real-time insights into third-party collections agencies' performance with reports and dashboards. This puts a focus on key metrics, so teams can measure performance against industry standards to improve patient payment forecasting and successfully manage bad debt reserves   Monitoring: Monitors unpaid patient accounts for changes in a patient's contact information or ability to pay, and notifies in-house staff so that they can re-engage patients to collect their pending balances   Consulting and analytics: Collections consultants evaluate reports, suggest best-practice collections strategies and provide users with industry know-how. They can also provide quarterly performance reports to show performance and progress.  Discover how Weill Cornell Medicine and Experian Health implemented a smarter collections strategy that delivered $15M in recoveries — and how you can do the same. This webinar shows how to move faster, work smarter and collect more, without adding headcount. Watch now > The link between collections and financial success in revenue cycle management  Healthy revenue cycles rely on timely patient payments. With so many other financial pressures on patients today – paying for groceries, filling up the family car or basic home repairs - it can become overwhelming to manage it all. When bills are confusing, reminders are missed or affordability is a concern, it can result in late payments. Busy billing teams are then tasked with chasing down collections, leaving little time to focus on other revenue-generating activities. As collection timelines drag on, providers may experience cash flow issues, revenue losses and even bad debt. This can lead to disruptions in the revenue cycle, affect the bottom line and ultimately impact the quality of patient care.  Why collections optimization matters  Healthcare costs are rising, and Americans are carrying about $3,100 in medical debt on average, up from $2,000 the previous year. One in five patients report experiencing distress over healthcare costs they can't afford, and 15 million Americans have medical collections on their credit reports, according to 2024 data from the Consumer Financial Protection Bureau.   By adopting collection optimization solutions, providers not only strengthen the revenue cycle but also have the opportunity to improve the overall patient financial experience. Tools like Collection Optimization Manager help billing teams quickly understand their patients' ability and willingness to pay, identify charity eligibility and implement effective and compassionate patient billing outreach. Plus, performance analytics help staff assess performance over time and adjust collection strategies accordingly. Healthcare institutions aim to understand a patient's financial situation and take steps to assist them in their medical journey. This approach is central to their mission.  On-demand webinar: Boost self-pay collections - Novant Health & Cone Health's 7:1 ROI & $14M patient collections success Hear how Novant Health and Cone Health achieved 7:1 ROI and $14 million in patient collections with Collections Optimization Manager.  Key challenges    Maximizing patient collections is always a priority for providers. However, getting patients to pay their medical bills often comes with challenges, due to:    Poor financial insights: Billing staff may not have enough information about patients' financial circumstances to make predictions about how likely they are to pay. This can make prioritizing accounts and creating patient engagement strategies tricky. Collections staff may often spend time on accounts that are deceased, bankrupt, or eligible for Medicaid or charity – accounts unlikely to yield payment.   Ineffective outreach: Collections staff may spend hours calling patients with low collection yields.  Affordability concerns: Patients may be worried about how they'll pay for their bills, especially if they have a high-deductible healthcare plan. This can lead to late payments.  Insurance policy updates: Busy billing staff might not always be able to stay on top of frequent insurance changes and regulatory updates. This can lead to errors in patient billing or incorrect cost calculations, resulting in late or unpaid payments.   Lack of easy payment options: Patients want convenient, secure ways to pay on their time. When easy options like online and mobile payment methods aren’t available, it can lead to frustration and late payments.   Outdated manual processes: Valuable staff hours are often lost to cumbersome steps in the collections process, like phone calls and follow-up paperwork.   How technology is transforming collections ​​optimization  When implementing billing and collections optimization, today's providers are turning to technology that includes a growing range of automated solutions for more transparent billing, personalized payment options and increased efficiencies. Combining collections and automation enables a more transparent, user-friendly process that gives patients more financial control. Additionally, new technologies, like predictive analytics, machine learning and artificial intelligence, also help providers better understand their patients' financial needs so that they can deliver a more compassionate and supportive collections experience.   Case study: How Wooster Community Hospital collected $3.8M in patient balances with Collections Optimization Manager Read more about how automated collections strategies helped Wooster Community Hospital achieve a $3.8 million increase in patient payments.  Three best practices that accelerate collections A strong collections optimization solution should be able to accomplish the following:  Segment accounts based on propensity to pay  Billing teams can improve collections optimization by using automation and segmentation to obtain the data needed to prioritize high-value accounts. Collections Optimization Manager, for instance, uses multiple data sources to automatically screen and segment accounts based on propensity-to-pay scores.   Improve patient communication   Providers can use collections optimization tools and complementary automated patient outreach tools to foster better patient communication without putting additional strain on busy staff. Solutions like PatientDial and PatientText send patients timely bill reminders and self-pay options via voice or text message, while other financial assistance tools, like Patient Financial Clearance, assign patients to the correct financial pathway.  Benchmark performance  Billing teams can use their collections optimization tools to review comprehensive reports and scorecards on their agencies' performance. This allows healthcare organizations to compare performances across multiple vendors. Advanced reporting helps identify performance improvement opportunities, refine patient payment forecasts and manage bad debt. In some cases, such as with Experian Health's Collections Optimization Manager, users can also access expert consultative support to refine collections strategies further.   How can healthcare companies measure success?  Revenue cycle leaders know that “what gets measured, gets managed.” Using a collections optimization solution to monitor key performance indicators (KPIs) enables providers to fine-tune their collections process and assess performance over time. For instance, Experian Health's Collections Optimization Manager captures critical KPIs, such as accounts receivable days and collection rates. User-friendly dashboards and reports allow staff to measure performance against past metrics and industry trends. Plus, users benefit from consultants who can help choose the ​​right KPIs to track, evaluate reports and develop new collection strategies.  Learn more about how Experian Health's data-driven patient collections optimization solution helps revenue cycle management staff collect more patient balances.  Learn more Contact us

Key takeaways: As healthcare costs increase, the demand for patient financial assistance also rises as more patients find themselves without insurance coverage or facing economic hardship. Early identification of charity care eligibility reduces patient financial stress, makes the financial experience more compassionate, and protects providers from bad debt. Automated screening tools like Patient Financial Clearance, built on accurate, real-time data, are essential for flagging eligible patients before accounts go to collections and ensuring that no one misses out on vital support. Too often, patients who qualify for financial assistance aren't identified until after their accounts have been sent to collections. As healthcare costs increase and coverage becomes less certain, more patients will likely face financial challenges, making timely support even more critical. With estimated income data and financial behavior indicators, healthcare organizations can identify patient eligibility for charity care earlier, before the bills pile up. This article looks at how automated charity screening tools like Patient Financial Clearance can help providers support patients, protect revenue and remove the financial barriers that get in the way of care. The rising demand for patient financial assistance Demand for financial support is climbing quickly as economic pressures and policy changes make it harder for patients to keep up with medical costs. Nearly one in four adults are uninsured, often delaying or forgoing care because of high deductibles and out-of-pocket costs. Medicaid redeterminations have already resulted in more than 19 million disenrollments. At the same time, the Congressional Budget Office estimates that new federal spending provisions could push an additional 10.9 million people out of health coverage by 2034. As a result, revenue cycle teams will increasingly find themselves trying to collect payments from patients who are more likely to need financial help. "We're also seeing more states pass legislation that effectively mandates early screening for financial assistance before billing, such as Oregon's HB 3320," says Alex Liao, Senior Product Manager for Patient Financial Clearance at Experian Health. "These policies are becoming major drivers of financial clearance efforts. Identifying financial need early in the process helps patients avoid unexpected medical debt, and gives providers the insight they need to manage accounts appropriately and protect revenue." For providers, growing administrative costs, claim denials and underpayments mean less flexibility to absorb uncompensated care. Early screening protects against the burden of medical debt and facilitates the transparency and clarity patients need to manage their bills. Why does early identification of patient charity care eligibility matter? When charity care eligibility is missed or delayed, patients can quickly accumulate medical debt they can't afford. In an interview about the latest State of Patient Access survey, Clarissa Riggins, Chief Product Officer at Experian Health, explains why this is so important: "Cost is a major pain point," she says. "The report shows that 34% of patients struggle to pay for healthcare. That number is up from 23% last year. And nearly all patients, 95%, say they at least sometimes have trouble paying. It's clear that affordability is still one of the top reasons people delay care." Identifying charity care eligibility early on ensures these patients don't fall through the cracks. This reduces financial stress for patients and protects providers from avoidable write-offs and bad debt. When staff know which patients are likely to need support, they can have more compassionate and helpful financial conversations and connect patients with appropriate resources. Unlock patient charity care eligibility with automated screening  Manual charity care screening processes are often time-consuming and prone to delays, especially when staff have huge volumes of information to handle. Automated financial assistance screening tools use real-time data to identify patients who may qualify for charity care with greater speed and accuracy. For example, Patient Financial Clearance (PFC) helps providers screen patients earlier in the financial journey by automatically checking for eligibility at or before the point of service. It uses a range of estimated data points, including household income, household size and Federal Poverty Level (FPL) percentage, to assess whether a patient qualifies for charity care, Medicaid or other financial assistance. After calculating a risk score to evaluate the patient's propensity to pay, PFC can pre-fill application forms, reducing the need for staff input and accelerating enrollment. For those who may not qualify for charity care, PFC can recommend payment plan options that align with the provider's financial policies. This proactive, behind-the-scenes screening enables providers to flag eligible patients at multiple points in the care journey, ensuring more patients get the support they qualify for while minimizing manual work for staff. Case study: How UCHealth wrote off $26 million in charity care with Patient Financial Clearance See how UCHealth partnered with Experian Health to create a more streamlined approach to providing charity care to patients who needed it. Take a smarter approach to patient financial assistance with Experian Health Automated charity screening tools like Patient Financial Clearance are faster, more consistent and easier for staff to act on. But they'll fall short without reliable data. "Strong data practices are key," says Riggins. "That means better systems to catch errors before they become problems, regular staff training, and giving patients the chance to double-check their records… By automating tasks traditionally performed by human staff, healthcare organizations can save time associated with administrative intake and coverage verification. This also means solving for bad data in real-time, which can prevent billing and claim errors in the long run. Clean data makes everything easier, from billing to insurance verification to patient trust." She gives the specific example of Patient Access Curator, which uses artificial intelligence to run multiple data checks at once, covering eligibility verification, coordination of benefits, Medicare Beneficiary Identifiers, demographics, and coverage discovery. When thinking about how to use data to find charity care eligible patients, tools like this lay the foundation for more proactive financial engagement. By cleaning up data and automating repetitive tasks, Experian Health's revenue cycle solutions enable providers to streamline their financial operations and give financial counsellors the details they need to engage patients at the right time and help them understand their options. The bottom line Automation and accurate data aren't just backend upgrades. They're essential to building a smarter, more compassionate financial experience, with fewer accounts going to collections. By embracing the best practices for identifying patients needing financial assistance, early action, better data quality, and automation, providers will be better placed to make sure no one misses out on the help they need. Find out more about how Patient Financial Clearance can help healthcare organizations automate financial assistance and identify patients eligible for charity care. Learn more Contact us

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

Key takeaways: The healthcare industry isn't necessarily recession-proof, but revenue cycle leaders can take steps to build financial resilience. Financial resiliency strategies in healthcare should include: diversified revenue streams, operational efficiencies and strategic financial planning. Leveraging technology to optimize patient collections helps providers enhance the collections process and improve financial resiliency now, and in the case of a recession. The relationship between economic downturns and the resilience of the healthcare industry is complex. Healthcare is an essential service, so whether the economy is considered good or bad, people still need to see their provider. However, with many economists anticipating a potential recession, it begs the question: is healthcare truly recession-proof? In this article, we'll explore healthcare's economic resilience and why financial resiliency and collections optimization may be the key to surviving the next recession. The healthcare sector's economic resilience: fact or myth? While not necessarily recession-proof, the healthcare sector has historically been more insulated against economic uncertainty than other industries. However, since healthcare delivery organizations, like hospitals, typically operate with narrow health margins to begin with, a recession could further compound the issue. Factors that already affect a hospital's everyday bottom line could significantly worsen during a recession. Today's hospitals are burdened by high fixed costs, staffing shortages, regulatory and compliance costs, value-based care pressures and the financial challenges of low reimbursement rates and insured patients. During a recession, even the slightest shift could potentially knock a healthcare delivery organization's revenue cycle off balance. The importance of financial resilience in healthcare Financial resilience is crucial for healthcare organizations that want to cultivate long-term stability, regardless of what's happening in the economy. To weather economic uncertainty, healthcare organizations must have a solid financial foundation. The cornerstones of creating financial resilience for healthcare organizations include: Diversified revenue streams: Providers that offer multiple service points have more opportunities to better serve patients. To attract and retain patients, healthcare organizations must stay nimble and invest in new revenue-generating services, such as virtual or outpatient care. Efficient operations: Streamlining every aspect of the revenue cycle — especially through technology like automation and artificial intelligence (AI) — not only eliminates costly, error-prone processes, but also bolsters the bottom line, prevents revenue leaks and allows for new investments. Strategic financial planning: The healthcare industry is constantly evolving, from automated patient collections technology to artificial intelligence (AI) in claims management. Revenue cycle leaders can use data-driven insights from these technologies to inform short- and long-term financial planning. Patient collections during a recession: a critical area of focus Accelerating patient collections is always a top priority for revenue cycle leaders, especially as patients shoulder an increasing financial burden for the cost of care. However, during a recession, the focus on patient payments becomes even more critical. Recessions often bring job loss, leaving patients without insurance or the income to pay their medical bills. This can leave providers scrambling to update insurance information, chasing patients for payment, sending unpaid bills to collections, or worse — getting stuck with bad debt. Healthcare organizations can improve patient collections and maintain steady cash flow during tough economic times by adopting technology to optimize the patient collections process. Tools like Experian Health's Collections Optimization Manager streamline the entire patient collections process without adding additional workload for existing staffing. Leveraging technology for recession-proofing healthcare operations Recessions often come with many unknowns, but healthcare organizations can take steps to help recession-proof their financial operations. Adopting healthcare technology, like collections optimization tools, can help providers in these key ways: Streamline collections Solutions like Collections Optimization Manager uses intelligent segmentation to help billing teams quickly prioritize high-priority accounts based on propensity-to-pay scores. This frees up busy staff from the burden of chasing accounts — and is especially beneficial with large accounts receivable volumes. Instead, billing teams can focus on a small amount of patient accounts that have a high propensity to pay and bring in high revenue. Additionally, costs are further reduced since these accounts don't need to be sent to an external collections agency. To further streamline collections, complementary automated patient outreach tools, like PatientDial and PatientText can send patients bill reminders and self-pay options via voice or text message. Patient Financial Clearance takes this a step further by helping providers run their presumptive charity process, which estimates a patients' Federal Poverty Level percentage (FPL%), to identify those who qualify for greater financial assistance. Enhance financial forecasting Collections Optimization Manager offers healthcare providers real-time insights into collection performance with reports and dashboards that focus on key metrics. Billing teams can see how their team measures against industry standards to improve patient payment forecasting and successfully manage bad debt reserves. Plus, users get access to an experienced collections consultant to evaluate reports and further refine collections strategies. Improve financial resilience Implementing billing and collections optimization gives providers more visibility into the collections cycle, allowing for improved short- and long-term strategic planning. This can be useful for healthcare organizations that need to make financial decisions to prepare for upcoming recessions or shift priorities as needs change mid-recession. Emerging technologies, like predictive analytics, machine learning and artificial intelligence also offer providers a deeper understanding of patients' financial needs, allowing for a more compassionate collections experience. In times of economic uncertainty, when patients may struggle to afford their medical bills, a supportive collections process can help improve collection rates and reduce the chance of bad debt. Building a recession-resilient healthcare organization While it may not be possible to fully recession-proof a healthcare organization, revenue cycle leaders can take proactive steps to make their organization recession-resilient. Turning to technology that leverages a growing range of automated solutions for clearer billing, personalized payment options and increased efficiencies is one way healthcare organizations can start to build financial resiliency for today – and for any future economic downturns. Learn more about how Experian Health's data-driven patient collections optimization solution helps revenue cycle leaders enhance the collections process and improve financial resiliency during challenging times. Learn more Contact us

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