Collections Optimization

Modern revenue cycle optimization leverages AI and automation to help healthcare organizations capture revenue and maintain a healthy cash flow. This article outlines proven strategies for streamlining operations across the revenue cycle — from patient access and collections to claims and payer contract management.

Propensity-to-pay models use predictive analytics to help healthcare organizations understand patient payment behavior. Learn how providers can leverage these tools to prioritize collections, improve cash flow and reduce bad debt.

In this guide to healthcare revenue cycle management, learn how healthcare organizations can optimize the revenue cycle process at every stage of the patient journey to increase reimbursements and improve operational efficiency.

Propensity-to-pay models forecast which patients are likely to pay their bills, enabling smarter prioritization. By using data-driven automation, these tools help healthcare providers boost collections, reduce bad debt and improve overall revenue cycle efficiency.

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. Is your revenue cycle team ready for OBBBA? Join us for an engaging and actionable three-part live webinar series to learn how to protect your financial performance before 2026 reforms take effect. Save your spot > 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 on-demand 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: 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

Tracking down missing health coverage has always been challenging for providers, but proposed changes to the Affordable Care Act and Medicaid could make it even tougher. If the reforms take effect, as many as 13.7 million Americans could lose health insurance over the next decade. With more patients cycling in and out of coverage, many will turn up for care without knowing their coverage status, leaving them at risk for bills they can't afford and exposing providers to denials and revenue loss. Insurance verification has traditionally relied on Social Security Numbers (SSN). As the industry moves away from this approach, providers need faster, more reliable ways to confirm health insurance without SSNs. Health insurance without an SSN? The challenge of missing SSNs in patient records For decades, the SSN was a go-to data point for verifying insurance coverage. In the absence of a national patient identifier, it served as a consistent way to match individuals to their insurance records across health systems and payers. However, many patients do not have SSNs, and concerns about data privacy, duplication and identity theft led providers and payers to phase out SSNs. Although SSNs may still be collected during enrollment for administrative use, industry best practice now discourages using SSNs unless absolutely necessary. Recognizing the need for more secure and trustworthy identifiers, many payers have moved away from SSNs. For instance, in 2018, Medicare replaced SSN-based Health Insurance Claim Numbers with Medicare Beneficiary Identifiers (MBIs). These are now the primary means of checking a person's identity for Medicare transactions like billing, eligibility status and claim status. Commercial health plans have followed suit, relying more heavily on member IDs and internal identifiers for billing and eligibility and avoiding SSNs in patient records in line with privacy rules set out in the Health Insurance Portability and Accountability Act. As a result, SSNs are disappearing from patient records and payer databases. The question for providers is how to accurately verify insurance without SSN access. The impact of unidentified insurance on claims and reimbursement When active insurance coverage is overlooked, providers lose the opportunity to bill for care. Some patients will be incorrectly assigned self-pay status, triggering unnecessary billing cycles or charity write-offs. Others get care without providing their coverage information at the time of care, especially in fast-moving outpatient and emergency departments. Either way, the revenue is at risk in situations like these. Providers lose time and revenue. Teams are forced to reprocess claims, track down retroactive coverage, and appeal denials that could have been avoided. Missed coverage also takes a toll on patients, who now owe more than $220 billion in medical debt. And with cost concerns prompting four in ten patients to consider skipping care when they don't receive a price estimate, missing coverage is more than a paperwork problem – it's a clear threat to health and well-being. Case study: How UCHealth saved over $3.5 million by reducing accounts sent to collections with billable insurance. Strategies to identify health insurance without an SSN As the use of the SSN in medical billing declines, providers are looking for new and better tools to find insurance coverage. Digital technology and data integration make it possible to verify insurance without SSN use. Here are a few of the most effective strategies: 1. Using probabilistic matching and third-party data Advanced coverage discovery platforms now use probabilistic matching to connect patients to payers. These tools analyze data points like name, address, date of birth and phone number to identify likely matches. Instead of needing a patient's exact identifiers, they calculate match confidence based on data quality and historical payer data. 2. Leveraging health information exchanges (HIEs) Another option is to connect to regional or statewide HIEs to check insurance details shared across health systems, payers and public programs. This is especially valuable for transient or underserved populations who often move between providers and may not always carry updated insurance cards. 3. Patient self-service portals with identity validation At the front end, patient self-service tools offer opportunities to collect insurance information before a visit. Identity validation technology helps confirm the person's identity without requiring an SSN. Patients can scan an insurance card, update coverage details or answer verification questions within the portal. This reduces the workload for front desk staff and ensures better data before the patient arrives. Automated tools to streamline insurance discovery While patient access tools help patients confirm their coverage details, automated back-end solutions are essential for identifying insurance when information is incomplete or missing. Intelligent coverage discovery platforms can predict and verify active coverage without relying on SSNs, using demographic inputs like name, address and date of birth. These platforms run real-time or batch searches across multiple proprietary databases, combining search best practices, historical claims data and payer response patterns to flag likely matches. At the point of scheduling or registration, automated eligibility checks help identify billable coverage early, reducing errors, manual work and missed reimbursement opportunities. Experian Health's Coverage Discovery® exemplifies this approach, uncovering commercial, Medicare and Medicaid coverage that may have been unknown or forgotten. By identifying primary, secondary and tertiary coverage, it flags accounts that might otherwise be written off or sent to charity. Not only does this help maximize reimbursement revenue, but it also automates the self-pay scrubbing process and reduces the number of accounts sent to bad-debt collections. In 2023 alone, the platform identified billable coverage in more than 30% of self-pay accounts, resulting in over $25 million in found coverage. This level of automation is especially critical as policy changes continue to disrupt coverage stability. Proactive alerts can flag patients previously marked as self-pay but now linked to valid insurance, helping providers course-correct before claims go unpaid. Better patient matching, better outcomes As insurance coverage becomes more complex, providers need smarter and more efficient ways to verify it. Automated platforms like Coverage Discovery identify active insurance using minimal patient data, improving accuracy and reducing dependence on SSNs. When active coverage isn't found, Patient Financial Clearance helps fill the gap, screening for Medicaid eligibility or identifying patients who may qualify for charity care. Together, these tools give providers a more complete financial picture and ensure patients are connected to the coverage or support they need. The result is not just cleaner claims and faster payments, but better patient and provider outcomes. With more than a fifth of patients experiencing delays in healthcare because of issues verifying insurance information, improving coverage accuracy is a win for everyone. Find out more about how Coverage Discovery can help healthcare providers reduce bad debt by verifying patients' health insurance coverage without SSNs. Learn more Contact us