Search Results for: artificial intelligence

Early diagnostics, remote patient monitoring and personalized care recommendations are just a few examples of how artificial intelligence (AI) is transforming the way healthcare is delivered. As technology advances, so do opportunities to optimize clinical and operational processes. With projected savings in the region of up to $360 billion annually, it's no surprise that 75% of healthcare executives believe AI has reached a turning point in their industry. Yet many providers are still just scratching the surface. Only a small percentage use AI for complex tasks like claim denial management, leaving the competitive advantage wide open. Understanding how these technologies work – and where to apply them for maximum impact – will be crucial to improve efficiency, remain competitive and above all, deliver excellent patient care.  The power of AI in healthcare As the name suggests, artificial intelligence refers to a machine's ability to perform cognitive tasks that would normally be associated with humans, such as problem-solving and decision-making. It can spot patterns, learn from experience and choose the right course of action to achieve a goal. Natural language processing, robotics and machine learning might all be in the mix. AI in the healthcare industry has been found to support applications like: Improving diagnosis through the analysis of medical images AI-powered wearables and virtual nursing assistants Patient data management Reducing and preventing insurance claim denials. Artificial intelligence in healthcare isn't a substitute for human contact, which underpins the best patient care. However, by increasing accuracy and reducing costs, it can help clinicians and healthcare administrators make better decisions that support a positive patient experience across virtually all healthcare settings. AI & automation in healthcare: key benefits  AI and automation deliver results in the three areas that matter most to healthcare organizations: improving the patient experience and care delivery, allowing staff to perform at their highest level, and increasing revenue. Boosting patient satisfaction through speed and accuracy Patient feedback has a few common themes: timely access to care, clearer communication and greater financial transparency. To meet these needs (and improve those feedback scores), healthcare providers should offer patients accurate, upfront information and reduce friction wherever possible. Tools like Patient Access Curator use AI to verify and update all necessary patient information at the front end, all at once, which drastically reduces the time and effort required to manage patient records. This streamlines patient intake and solves for bad data, which prevents claim denials and increases patient satisfaction. Bringing in more revenue by reducing claims errors The 2024 CAQH index estimates that 22% of current costs could be saved by shifting from manual revenue cycle processes to automated ones. Experian Health's State of Claims Survey 2024 suggests providers are eager to capitalize on this opportunity, with 51% seeking to reduce manual work. AI-driven solutions like Patient Access Curator and AI Advantage are designed specifically to meet these needs. Patient Access Curator automates insurance eligibility and coverage, scanning patient documentation for inaccurate information, and uses AI and robotic process automation to reduce manual errors. AI Advantage™ works to prevent denials before they happen, using predictive analytics to flag claims errors and alert staff to claims that fail to meet payer requirements. Improving staff performance by easing burnout The strain of manual processes doesn't just slow down operations. It's also a major cause of staff stress and burnout. Around half of healthcare staff report feeling burned out, costing the industry an estimated $4.6 billion each year. By taking repetitive tasks off busy employees' plates, AI can alleviate overwork and allow staff to focus on higher-value work, improving job satisfaction and productivity. In claims management, for example, AI Advantage, works in conjunction with ClaimSource®, to proactively identify claims with a high likelihood of denial prior to claim submission without staff intervention. This reduces the burden on staff while improving clean claim rates. How AI Advantage and Patient Access Curator improve patient care Experian Health's two flagship AI-based products go even further, offering new ways to use technology to improve patient care: Patient Access Curator uses AI and robotic process automation to streamline one of the most tedious parts of patient intake – verifying insurance eligibility and coverage. By automatically scanning patient records for errors and pulling up-to-date information from payer sources, it eliminates the guesswork and manual labor that bog down revenue cycle teams. The result is faster, more accurate eligibility verification and a smoother experience for both staff and patients. As Ken Kubisty, VP of Revenue Cycle at Exact Sciences, put it: “Within the first six months of implementing the Patient Access Curator, we added almost 15% in revenue per test because we were now getting eligibility correct and being able to do it very rapidly.”  On the back end, AI Advantage – Predictive Denials acts as an early warning system for denials, scanning claims before they go out the door to catch errors and flag risky submissions so they can be corrected in time. Built on advanced AI and machine learning, the platform evaluates claims using historical payment data and real-time payer behavior. Its counterpart, AI Advantage – Denial Triage, picks up where Predictive Denials leaves off, sorting rejected claims according to their potential for reimbursement and prioritizing them based on financial impact. Together, they help providers minimize denials, resulting in faster reimbursement and freeing up resources that can be redirected to patient care. Case study: See how AI Advantage helped Schneck Medical Center achieve a 4.6% average monthly decrease in denials in the first six months. The future of AI in healthcare: what's next? As a quick glance at any newsfeed will confirm, AI's role in healthcare is only going to expand. Predictive analytics will give staff increasingly powerful insights and recommendations to maximize reimbursements, while minimizing the burden on the workforce. AI's ability to continually learn and improve means providers that embrace AI will be better placed to make full use of their data and adapt to the trends and challenges that affect patient care. As expectations grow and resources shrink, AI is likely to be the only way to deliver the scalable, responsive, high-quality care patients deserve. Discover how solutions like AI Advantage and Patient Access Curator use artificial intelligence in healthcare to help reduce claim denials, improve patient access and more. AI Advantage Patient Access Curator

Healthcare claims management is getting a much-needed infusion of technology. Artificial intelligence (AI) is the key player, utilizing vast amounts of data related to human behavior and health to forecast patterns in disease outcomes with greater precision than ever before. The same analytical power can be applied to claims data to predict and prevent denials. Using artificial intelligence for claims management is now more crucial than ever. By rooting out errors, evaluating trends and predicting payer behavior, AI helps reduce the likelihood of denied claims and maximize revenue opportunities. Staff can spend less time “treating” the effects of denied claims. But even when denials occur, AI still plays a role, quickly triaging high-value denials so staff uses their time efficiently. This two-pronged, proactive and reactive approach is captured in Experian Health's AI Advantage solution™. Using AI-powered analytics and automation, this technology helps providers predict, prevent and process denials to improve claims management and increase revenue. It's time to update claims management systems In Experian Health's State of Claims survey, nearly 3 out of 4 healthcare executives said reducing denials was their top priority. Denials are increasing in number, taking longer to process and taking a bigger bite out of provider profits. Traditional claims management strategies are no longer fit for purpose. The volume and complexity are too much for manual processes to handle, resulting in errors, time-consuming rework and lost revenue. Many providers are using automated claims management platforms to code and edit claims before they are submitted. Automation is ideal for these highly repetitive processes. Faster and more efficient claims processing increases clean claim rates and speeds up reimbursement. Experian Health's automated claims management solutions are designed with these outcomes in mind, with ClaimSource® and Contract Manager named among the best-performing claims management products in 2023, according to a KLAS report. Artificial intelligence builds on the benefits of automation, providing insights and recommendations to drive better decision-making. While automation frees staff from time-consuming, process-driven tasks, artificial intelligence allows them to perform remaining tasks at a higher level. For example, when it comes to processing denials, staff will often “guesstimate” each claim's potential for payment. They'll usually focus on reworking the highest-value denials first. AI removes the guesswork so staff can prioritize denials based on monetary value and likelihood of reimbursement, so time isn't wasted chasing higher payments that may never materialize. Using artificial intelligence for claims management can predict and prevent denials A successful denial reduction strategy starts upstream, to proactively prevent denials before they occur. AI Advantage ­– Predictive Denials uses AI to review claims before they're submitted and flag any that are likely to be denied, based on historical payment data and payer adjudication rules. The tool detects changes to the way payers handle denials, even if those aren't explicitly documented. If a claim exceeds the (customizable) threshold for probability of denial, Predictive Denials alerts the appropriate biller, who can then intervene and make corrections prior to claim submission. The benefits of this “early detection” approach include: Reducing the number of denials to be processed (and staff time spent processing them) Reducing AR days by flagging high-risk claims Improving patient satisfaction by avoiding lengthy appeals processes. After using AI Advantage – Predictive Denials for six months, Schneck Medical Center reduced average monthly denials by 4.6%. Reworking claims flagged with a predictive alert took 3–5 minutes, which was significantly quicker than before. By frontloading staff time to get claims right the first time, less effort was spent on denials. Implementation was straightforward, with no disruption to the existing claims workflow. Triaging denials for faster, more effective rework The second piece of the AI Advantage solution addresses denials that haven't been prevented. AI Advantage - Denial Triage uses advanced algorithms to identify and segment denials so staff can focus on the most profitable resubmissions. Denials are automatically triaged into five customizable categories based on likelihood of approval. Staff can rework the claims in their work queue without wondering if they're putting their effort in the right place. By automating decisions about which claims to prioritize for rework in real time, Denials Triage eliminates time spent on low-value denials and increases revenue by prioritizing high-value claims. As with Predictive Denials, this reduces the administrative burden on staff, expedites AR days, and increases patient satisfaction by reducing time to decision. Extending the automation advantage To maximize reimbursements, providers need to look at opportunities to leverage automation and artificial intelligence across the entire claims ecosystem. AI Advantage integrates with existing systems and workflows to leverage the impact of tools such as ClaimSource®. ClaimSource manages the whole claims cycle from a single online application. AI Advantage uses real-time insights generated by ClaimSource to detect patterns and predict future payer behavior. Other ways to use automation to improve claims management include: Automated claim scrubbing - Claim Scrubber uses machine learning to assess which claims have been denied in the past and why. Claims can be tagged for extra checks before being prepared for processing, to ensure likely errors have been avoided. This helps eliminate undercharges, reduce errors and minimize rework. Enhanced claim status monitoring – This helps providers keep track of existing claims. Automated status requests based on each payer's adjudication timeframe reduce manual follow-up work and allow staff to respond promptly to issues. Gathering insights into potential problems before the electronic remittance advice and explanation of benefits are processed creates time to make corrections. Using a denials workflow manager - This system automates and optimizes the denial management portion of the claims cycle, so staff can improve productivity and speed up reimbursement. With a single vendor, these tools and systems are designed to work cohesively, so there are no issues with interoperability. Data is reliable, accessible and integrated, so automation can pull from the most up-to-date and complete sources. This data can feed into proprietary machine-learning algorithms to predict and shape future performance. Experian Health's suite of automated claims management software solutions also comes with support from experienced claims-specific experts, who can help staff optimize their set-up and workflows. With the rise of AI, the healthcare industry is turning towards a more proactive approach to claim denials. Leveraging artificial intelligence for claims management can improve the overall efficiency and accuracy of healthcare claims processing, leading to fewer denials and a more seamless patient experience. Instead of waiting for denials to occur before taking remedial action, providers can use AI and automation to proactively detect errors and diagnose weaknesses in the claims process for a healthier revenue cycle. Discover how AI Advantage can help healthcare organizations predict and prevent claim denials.

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.  Discover how leading organizations like Exact Sciences and Trinity Health have leveraged Patient Access Curator to automate eligibility, reduce denials, and transform their revenue cycles. Watch our pre-recorded session from the 2024 Experian Health High-Performance Summit to see Patient Access Curator in action. Watch now 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

Key takeaways: Error-prone manual processes are a top reason for delayed reimbursements. Automation across the revenue cycle can help providers see quicker reimbursements. Many processes can be automated: patient estimates, eligibility verification checks, collections, claims management, and more. Prompt reimbursements are crucial for today's healthcare organizations. Delayed reimbursements can lead to a domino effect that impacts the entire revenue cycle. Provider productivity goes down along with quality of care, patients have poor experiences and the bottom line takes a hit. Reimbursement delays often stem from error-prone, outdated manual processes, overburdened staff and excessive administrative work. However, incorporating revenue cycle management automation can help providers overcome numerous reimbursement challenges and improve processes overall. With revenue cycle automation, providers can eliminate many persistent pain points in traditional revenue cycle management (RCM). Staff no longer lose time to tedious manual tasks, patients get their queries answered faster, and managers get the meaningful data they need to drive improvements. And the biggest win? It's easier for providers to get reimbursed for their services, faster and in full. What is revenue cycle automation and how does it work? Healthcare revenue cycle management knits together the financial and clinical components of care to ensure providers are properly reimbursed. As staff and patients know all too well, this can be a complex and time-consuming process, involving repetitive tasks and lengthy forms to ensure the right parties get the right information at the right time. This requires data pulled from multiple databases and systems for accurate claims and billing, and is a perfect use case for automation. In practice, revenue cycle automation involves using technology to complete tasks and processes that may have previously been manually completed. These tasks might include: Automatically generating and issuing invoices, bills and financial statements Streamlining patient data management and exchanging information quickly and reliably Processing digital payments Collating and analyzing performance data to draw out valuable insights. Understanding the challenges in traditional revenue cycle management When it comes to delayed reimbursements, providers lacking revenue cycle management automation typically face the following challenges: Inefficiencies in patient access According to The State of Patient Access 2025, front-end operations are still a source of friction for patients and providers. Four out of the five top patient access challenges reported by providers relate to front-end data collection. Top concerns include insurance searches, reducing errors, and speeding up authorization. Nearly 48% say data collected at registration is “somewhere” or “not” accurate, while 85% report an urgent need for faster, more comprehensive insurance verification. Rising claim denials due to manual errors The State of Patient Access also showed that manual, error-prone processes often lead to delays, claim denials and patient frustration. In fact, more than half (56%) of providers say patient information errors are a primary cause of denied claims. When claims are denied, reworks are often time-consuming, costly and place additional burdens on already overworked staff. Difficulty in managing patient collections Due to rising costs, confusion over estimates and a lack of patient payment options, providers are often left to deal with unpaid medical bills. According to Experian Health data, 29% of patients say paying for healthcare is getting worse. Affordability is a key factor, but patients are also struggling to understand how much their insurance covers and looking for convenient payment options, like payment plans. Download The State of Patient Access 2025 report for a full run-down of patient and provider views about access to care. Six ways revenue cycle automation accelerates reimbursements Revenue cycle improvement through automation can help speed up reimbursements for healthcare providers by: 1. Capturing accurate information quickly during patient access Gathering patient data manually is time-consuming. Errors in the process can lead to denied claims and roadblocks in patient care. Tools like Experian Health's Patient Access Curator use artificial intelligence (AI) to streamline patient access and billing, improve data quality and address claim denials from the outset. This solution also ensures that all data is correct on the front end by checking eligibility, coordination of benefits (COB), Medicare Beneficiary Identifier (MBI), demographics and insurance discovery. 2. Simplifying collections and focusing on the right accounts Healthcare collections are a drag on resources. Automating the repetitive elements in the collections process helps reduce the burden on staff. Collections Optimization Manager leverages automation to analyze patients' payment histories and other financial information to route their accounts to the right collections pathway. Scoring and segmenting accounts means no time is wasted chasing the wrong accounts. Patients who can pay promptly can do so without unnecessary friction. As a result, providers get paid faster. 3. Reducing manual work and staff burnout Chronic staffing shortages continue to plague healthcare providers. In Experian Health's recent staffing survey, 96% of respondents said this affected payer reimbursements and patient collections. While automation cannot replace much-needed expert staff, it can ease pressure on busy teams by relieving them of repetitive tasks, reducing error rates and speeding up workflows. 4. Maintaining regulatory compliance with minimal effort While regulatory compliance may not directly influence how quickly providers get paid, it does play a crucial role in preventing the delays, denials and financial penalties that impede the overall revenue cycle. Constant changes in regulations and payer reimbursement policies can be difficult to track. Automation helps teams continuously monitor and adapt to these changes for a smoother revenue cycle, often with parallel benefits such as improving the patient experience. One example is Experian Health's price transparency solutions, which help providers demonstrate compliance with new legislation and provide extra clarity for patients. 5. Improving the end-to-end claims process Perhaps the most apparent way RCM automation leads to faster reimbursement is in ensuring faster and more accurate claims submissions. Automated claims management solutions, like Experian Health's award-winning ClaimSource®, reduce the need for error-prone manual processes, while improving accuracy and efficiencies in the claims editing and submission process. Additional claims management tools, like Claim Scrubber, also help providers submit more complete and accurate claims. Other tools, like Denial Workflow Manager, can be used if claims are denied. With automation and its extensive data analysis capabilities, work lists are generated based on the client's specifications, like denial category and dollar amount, to identify the root cause of denials and improve upstream processes to prevent them. And as artificial intelligence (AI) gains traction, providers are discovering new ways to use technology to improve claims management. AI Advantage™ uses AI and machine learning to find patterns in payer behavior and identify undocumented rules that could lead to a claim being denied, alerting staff so they can act quickly and avert issues. Then, it uses algorithmic logic to help staff segment and rework denials most efficiently. Providers get paid sooner while minimizing downstream revenue loss. 6. Providing better visibility into improvement opportunities Finally, automation helps providers analyze and act on revenue cycle data by identifying bottlenecks, trends and improvement opportunities. Automated analyses bring together relevant data from multiple sources in an instant to validate decisions. Machine learning draws on historical information to predict future outcomes, so providers can understand the root cause of delays and take steps to resolve issues. A healthcare revenue cycle dashboard is not just a presentation tool; it facilitates real-time monitoring of the organization's financial health, so staff can optimize workflows and speed up reimbursement. Embracing automation for a more efficient revenue cycle Like any business, healthcare organizations must maintain a positive cash flow to remain viable and continue serving their communities. Revenue cycle automation strategies can cut through many of the common obstacles that get in the way of financial stability and growth and speed up reimbursements. Learn more about Experian Health's revenue cycle management technology and see where automation could have the biggest impact on your organization's financial health. 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Revenue cycle management (RCM) plays a central role in healthcare, influencing both patient access and the financial well-being of providers. As healthcare organizations navigate growing costs, shifting patient expectations, and increasingly complex administrative tasks, they're finding themselves at a crossroads. Experian Health's State of Patient Access 2025 report offers a look at these challenges from the views of patients and providers, while showcasing how technology is changing the way we approach patient access and revenue cycle operations. In this interview, Clarissa Riggins, Chief Product Officer at Experian Health, shares key takeaways from the report, offers actionable solutions for providers, and outlines trends that are set to shape the future of RCM.  Q1: "Let's start with the big picture. What's going on with patients' access to healthcare right now?" Riggins says, "It's stabilizing, which is a good sign. According to The State of Patient Access 2025, 68% of patients and 43% of providers say access has stayed the same. That's the highest it's been since 2022. Only 15% of patients said it's gotten worse, and that's the lowest number we've seen in a few years."  Q2: "That's reassuring. But there are still challenges, right? What are patients struggling with most?"  "The number one issue continues to be wait times," explains Riggins. "About 25% of patients said getting in to see a provider quickly is still a major hurdle. On top of that, 22% reported delays because of insurance verification, and 20% said they ran into problems with errors in their medical records or billing information. So, while some things have improved, there are still gaps to close.”  Q3: "You mentioned insurance verification. How much of a barrier is that?" "It's a big one," she says. "When insurance verification isn't seamless, it creates a domino effect. That 22% figure I mentioned, those are people who had to wait for care because their insurance details weren't sorted out. Automating that part of the process can make a huge difference in getting people the care they need faster.” Q4: "Are digital tools making a difference in these areas?"  "They have the potential to, but adoption is a challenge. 37% of providers said one of their biggest obstacles is getting patients to actually use the tools available. And 55% said patients don't know how to navigate self-scheduling. We're seeing some resistance, but it's not because the tech isn't there. It's more about awareness and ease of use. She continues, "For example, going back to insurance eligibility, Experian Health's Patient Access Curator uses artificial intelligence (AI) to automatically check coverage in real time. This helps providers confirm benefits instantly and spot issues early. That kind of automation takes the guesswork and delays out of the equation, so patients can get the care they need without unnecessary holdups. It's not just more efficient for staff; it literally speeds up access to treatment."  Q5: "Let's talk about cost. How is that affecting access for patients today?"  “Cost is a major pain point," she explains. "The report shows that 34% of patients say they often 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."  Q6: "What can providers do to improve the payment experience for patients?"  “It starts with transparency. Patients want to know what they'll owe before they get care. When 81% of patients say they feel more prepared after receiving an accurate estimate, it shows just how critical that upfront information is," Riggins notes. "Experian Health's Patient Estimates solution was built around this need. It allows providers to give patients clear, personalized cost estimates before they receive care, helping them feel informed and in control." "And 43% said they would consider canceling or postponing care if they didn't get that information," she continues. "That's huge. It proves this isn't just about convenience; it's about access. These tools help patients avoid financial surprises, which can be the deciding factor in whether they follow through with treatment." “This solution isn't just making billing easier. It's directly supporting better health outcomes by making care more accessible and less intimidating financially."  Q7: "So, it's not just about having the tools. It's about how they're used?"  "Exactly. Providers need to make sure the tools are easy to use and that patients understand how to use them. That means clear instructions, mobile-friendly interfaces, and support when people get stuck. If the experience feels complicated, people just won't engage." Q8: "What are patients looking for when it comes to better access?"  "Patients are very clear. They want convenience," Riggins says. "According to The State of Patient Access 2025 report:  82% don't want to complete forms multiple times if their information hasn't changed  80% want to be able to schedule appointments from their phone (via a browser or an app)  77% want a heads-up on insurance coverage before treatment  52% want more digital options, period  So, if providers listen to these preferences and meet patients where they are, access improves naturally."  Q9: "What about billing and patient record issues? How can providers avoid those mistakes?"  "Strong data practices are key. That means better systems to catch errors before they become problems, regular staff training, and giving patients the chance to double-check their records. Adding tools like Patient Access Curator can really make a difference. It uses artificial intelligence to handle a bunch of tasks all at once – eligibility checks, COB, MBI, demographics, and insurance discovery. By automating tasks that are 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 help prevent billing and claim errors in the long run.  Clean data makes everything easier, from billing to insurance verification to patient trust," Riggins concludes.   Patient access is evolving, but not without its challenges. As the State of Patient Access 2025 report highlights, stability is improving, but issues like price transparency, low adoption of digital access tools and insurance verification continue to create friction. The path forward lies in listening to what patients are asking for: easy-to-use digital tools, clear pricing, and fewer administrative headaches. By utilizing automation and AI, providers can streamline access and build stronger, more trusted relationships with their patients.  Learn more about how Experian Health can help healthcare organizations improve patient access, and download the report for the full survey results.   Download now Contact us

Healthcare providers have heard it before – high employee turnover and the constant need to train on new solutions can severely impact the efficiency of revenue cycle management (RCM) teams. As denials increase, the resources required to address them grow, putting additional strain on healthcare providers and their teams.  For decades, manual claim management has been the cornerstone of revenue cycle operations. However, with shifting payer algorithms, higher patient volumes, and evolving insurance coverages, this approach is no longer sustainable. Getting the highest percentage of claims paid with the exact amount of human capital is unachievable. Many health systems can't keep up, and RCM teams are experiencing burnout. There is a glaring need for the rapid adaptation of automation to improve front-end data collection, where reducing errors can have the highest impact on claims, and the teams responsible for them. According to Experian Health's latest State of Patient Access survey, 56% of providers say patient information errors are a primary cause of denied claims, 48% report inaccuracies in data collected at registration, and 83% emphasize the urgent need for faster, more comprehensive insurance verification.  Front-end operations are a major source of friction. Four out of the five top patient access challenges reported by providers relate to front-end data collection, including improving insurance eligibility searches, reducing errors and speeding up authorizations. Is it any wonder that these actions are typically performed by hard-working and taxed humans?   These inefficiencies don't just slow down internal workflows. Manual, error-prone processes lead to delays, claim denials and patient frustration, not to mention low morale with revenue cycle teams trying to find the errant data. Providers note that staffing shortages are compounding the problem, which suggests that tackling front-end workflows would be a strategic operational win.  How Patient Access Curator enhances revenue cycle efficiency  What if providers could take that manually laden process, integrate automation, and allow their staff to apply their revenue cycle experience, equity and strategic thinking in the right place?   Patient Access Curator (PAC) uses automation and artificial intelligence (AI) to streamline patient access and billing, address claim denials and improve data quality without the need for human intervention. This integrated solution performs rapid eligibility, coordination of benefits (COB), Medicare Beneficiary Identifier (MBI), demographics and insurance discovery checks to ensure that all data is correct on the front end, freeing teams up to focus on more strategic tasks.   It doesn't require the long training requirement of standalone products; it fits seamlessly into existing EHR systems, and works directly within the system, with no need for drawn-out onboarding programs.   According to one of the early adopters of the Patient Access Curator, their revenue cycle team is already seeing – and feeling – the results of automation.   A Senior Director of Revenue Cycle at a large Midwestern health system says, “One of the primary reasons we chose the Patient Access Curator was because it makes the normally manual work of revenue cycle much easier, which in turn improves productivity, empowerment and morale. Registrars are now able to make determinations right within the system. It's easy to use.” With so much data to capture, manual strategies are bound to stumble and apply downward pressure on those tasked with high-volume work. Patient Access Curator removes the need for manual checks on multiple payer websites and data repositories to verify insurance eligibility, and checks for any billable coverage that might have been missed. Experian Health's industry-leading claims management products are designed to simplify these processes. The  newest denial prevention technology  strengthens this suite with capabilities previously unavailable.  Efficient claims management with artificial intelligence and automation  Patient Access Curator captures and processes patient insurance data at registration using an “if-then” logic that returns multiple data points from a single inquiry, in seconds. Registration staff can leverage this technology to collect and verify much of the information they need to compile an accurate claim, with just a single click. In a matter of seconds, they'll have a comprehensive readout of:  Eligibility verification: PAC automatically interrogates 271 responses, flagging up active secondary and tertiary coverage information to eliminate coverage gaps Coordination of Benefits: Integrating with eligibility verification workflow, PAC automatically analyzes payer responses to find hidden signs of additional insurances that may be missed by a human eye, and triggers additional inquiries to those third parties to determine primacy, for faster COB processing Medicare Beneficiary Identifiers: PAC uses AI and robotic process automation to find and fix patient identifiers so no one misses out on essential support  Insurance discovery: For patient accounts marked as self-pay or unbillable, PAC automates additional coverage searches Demographics: The platform can quickly check and verify patient contact information Patient Access Curator achieves such speedy results “because the underlying code acts like a Rosetta Stone, automatically translating the language of the user and the health system into the terms required by the payer,” says Jordan Levitt, Senior Vice President of Experian Health. “This means data can be transferred easily between interfaces.” Hear how Columbus Regional Hospital has used the Patient Access Curator to simplify and streamline its revenue cycle operations. With Patient Access Curator, better data adds up to increased revenue cycle efficiency, along with the following:   Reduced errors: Automation minimizes human intervention in repetitive tasks.  Faster processing: Automated systems can handle large volumes of claims and payments much faster than manual processes, accelerating the reimbursement cycle, improving cash flow and reducing delays in revenue collection.  Enhanced compliance: Automation tools like Patient Access Curator are continually learning from inputs, and adapt to stay up-to-date with evolving regulatory requirements and payer policies. This ensures that claims are compliant, reducing the risk of denials and costly rework.  Improved denial prevention: Patient Access Curator identifies patterns in historical claim data, flagging or fixing potential errors before submission. This proactive approach helps in preventing denials and optimizing revenue recovery.  Streamlined workflows: Automation frees up staff from mundane tasks, allowing them to focus on strategic initiatives such as patient engagement and financial planning. This leads to more efficient use of resources and improved overall productivity.   At a time when revenue cycles are under increasing pressure from changing payer rules, labor dynamics and operational constraints, this new solution offers a long-awaited boost to both reimbursement rates and productivity. Patient Access Curator is available now – learn how it can help healthcare organizations boost revenue cycle efficiency and prevent claim denials in seconds. Learn more Contact us

Highlights Healthcare claims processing is becoming more complex, putting financial stability at risk. Many organizations are turning to technology, particularly automation and artificial intelligence (AI), to improve the speed and accuracy of claims processing in healthcare Organizations that modernize their claims systems and track key performance indicators are better positioned to reduce denials and accelerate reimbursement. Healthcare claims processing is getting harder, according to Experian Health's 2024 State of Claims report. For 65% of healthcare leaders, claims management is more complex than before the pandemic. Slower reimbursements, rising denial rates and mounting administrative pressure are putting financial performance at risk. To improve speed and accuracy, many organizations are investing in technology: 45% of providers plan to invest in claims management technology in the next six months. As margins tighten, those that modernize their healthcare claims processing systems will be better equipped to stay financially strong. Understanding the current healthcare claims processing landscape Despite its central role in healthcare finance, claims processing continues to be one of the most resource-intensive and error-prone parts of the revenue cycle. Findings from the State of Claims report highlight three linked challenges that make it tough for providers to get paid promptly: rising denial rates, recurring errors that lead to even more denials, and the growing burden of rework. Denial rates are rising Claim denials are a persistent and growing issue. According to the report, 38% of healthcare leaders said that more than 10% of their claims are denied, and 11% reported denial rates over 15%. These numbers represent not just lost revenue, but significant time spent on rework and appeals. Common causes of denials The underlying reasons for denials are largely preventable. In the survey, 46% of respondents pointed to missing or inaccurate data and authorization problems as key contributors. These issues often stem from manual errors, inconsistent data entry, or gaps in communication between systems and teams. Incorrect insurance details, incomplete patient records and missing prior authorizations all lead to avoidable rejections. The cost of rework is growing As denial rates climb, so does the effort required to fix them. Almost half (48%) of respondents said they review denials manually, with three-quarters of denials handled by someone other than the person who processed the original claim. This puts extra strain on overextended revenue cycle teams on top of delayed payments. Leveraging technology for improved claims management Clearly, there's a need to reduce the manual burden. Comprehensive claims management platforms can help by automating workflows, tracking payer policies and improving claim accuracy at every stage. With claims processing tools designed to streamline decision points and flag potential issues early, revenue cycle teams can work more efficiently and sidestep disappointing financial results. For example, Denial Workflow Manager makes it easier to identify and prioritize denied claims by automating follow-up steps and assigning tasks to the right team members. Enhanced Claim Status submits automated status requests to payers, so staff can respond to pended, returned-to-provider, denied or zero-pay transactions before the Electronic Remittance Advice and Explanation of Benefits are processed. Along with ClaimSource®, organizations can centralize claim activity and apply customizable edits and consistent formatting to reduce errors before submission. Case study: How St. Luke's Health System cut denials by 76% with Enhanced Claim Status Enhancing data accuracy for cleaner claims While many denial management strategies focus on the submission process, achieving clean claims starts much earlier in the revenue cycle. Much of the inaccurate and incomplete patient data that causes so many denials originates at registration. Patient Access Curator addresses this issue by validating critical patient and insurance information at the front end. It pulls data from multiple sources to verify insurance eligibility, confirm coverage details and flag inconsistencies in real time. By resolving errors early on, it prevents incorrect data from flowing downstream into the claim process, resulting in millions of dollars saved. As Ken Kubisty, Vice President of Revenue Cycle at Exact Sciences notes, “You know when the Patient Access Curator went live because you can see it in our stock price. It helped us drive a $100 million bottom-line improvement within two quarters.” On the back end, a tool like Claim Scrubber bolsters clean claim strategies by reviewing pre-billed claims line by line, to catch any remaining errors. Together, this front-to-back accuracy boosts first-pass payment rates and reduces the risk of costly rework. Watch the webinar: Hear how Exact Sciences and Trinity Health used Patient Access Curator to tackle denials and make major savings. Implementing automation and AI to streamline claims processing Once claims are accurate and ready for submission, automation and artificial intelligence (AI) can help organizations work smarter and faster. Nearly half (47%) of providers already using AI consider it a competitive advantage, and it's easy to see why. Predictive tools allow teams to identify which claims are at risk of denial before they are sent, so they can intervene early and avoid costly delays. Tools like AI Advantage™ use AI and machine learning to analyze patterns in claims history and payer behavior. This solution flags claims that are likely to be denied and prioritizes them for review, helping staff focus their time where it has the greatest financial impact. By identifying potential issues in advance, organizations can reduce preventable denials and improve reimbursement rates. Analyzing key performance indicators to stay ahead Even with the right tools and processes in place, consistent results require teams to keep a close eye on performance. Regularly reviewing key performance indicators gives them the insight they need to adjust strategies and stay ahead of claim issues. Metrics like denial rates, clean claim rates and days in accounts receivable show where claims are most frequently getting stuck, where errors are recurring, and where improvements are actually working. While claims processing technology can do much of the heavy lifting, it isn't a set-it-and-forget-it solution. Long-term success depends on constant fine-tuning. Organizations that stay engaged and monitor key metrics closely are better positioned to reduce denials, accelerate payments and improve financial outcomes. Experian Health consultants are also available to help guide these efforts, offering expert support and strategic advice to help claims processing teams get the most out of their investment. Find out how Experian Health's claims management tools help organizations take control of claims processing in healthcare for cleaner claims, fewer denials and faster reimbursement. Learn more Contact us