AI Insights

Patient access continues to improve, with both providers and patients reporting steady progress, according to The State of Patient Access 2025. Building on the momentum of the 2024 State of Patient Access survey (when 55% of providers reported better access), 36% now say it has improved even further. Around six in ten patients agree that the experience is the same or better than a year ago. Now in its fifth year, Experian Health's latest annual survey shows how patient and provider perceptions of patient access have changed, and where there's still work to do. In February 2025, more than 200 healthcare revenue cycle decision-makers and over 1000 healthcare consumers were surveyed about their experiences over the previous year. The findings point to three key opportunities for organizations looking to improve the patient experience and boost revenue, which are discussed below. Download The State of Patient Access 2025 report for a full run-down of patient and provider views about access to care. What patients and providers think of patient access (and 3 immediate opportunities) The overall sentiment is encouraging, but there's always room for improvement. The report gives a detailed breakdown of the reasons why respondents think access has improved – or not – and how many respondents gave those reasons. These insights will help providers target their improvement efforts where they matter most. Opportunity 1: Focus on the financial experience 29% of patients say paying for healthcare is getting worse 56% of patients say they need help from their provider to understand what their insurance covers 50% of providers say access is better because patients have more flexible payment options Financial concerns continue to shape the patient experience. Affordability is a key factor in whether patients think paying for care is getting easier or tougher, but it's not the only one. Patients who feel that paying for healthcare has improved cite reasons like being able to understand what their insurance covers, having payment plans that make costs more manageable, and being able to complete paperwork digitally prior to care. Conversely, those with a negative view mention confusion over what they owe, difficulty making payments, excess paperwork and lack of payment plans among their top concerns. To address these challenges, providers can turn to tools that streamline the financial journey from the start. Automating patient financial clearance helps get patients on the right financial pathway as quickly as possible, while segmentation data enables smarter and more personalized collection strategies. Offering flexible payment plans and convenient digital payment options rounds out a financial experience that's easier, more transparent and aligned with patients' needs. Case study: See how UCHealth used automated financial clearance to identify $26 million in charity care. Opportunity 2: Prioritize accurate price estimates 81% of patients say an accurate estimate helps them better prepare to pay 43% of patients say that without an estimate, they're likely to postpone or cancel care 88% of providers say there's an urgency to improve or implement accurate estimates Sticking with the financial theme, the findings suggest that despite ongoing efforts, price transparency in particular still needs some work. While more patients received estimates, accuracy has fallen for a third year in a row. As a result, patients are left uncertain about what they'll owe, prompting some to avoid care altogether. On the flipside, 38% of patients say that understanding the cost of care in advance of treatment made for a better payment experience. With 77% of patients saying it's important that their provider can explain what their insurance covers before treatment, there's a clear opportunity to help patients feel more in control. Not only will this reduce patient stress, but it also builds trust and increases the chance of prompt payments. Almost all patients say they struggle to pay for care at some point, so improving the accuracy of estimates should be an immediate priority for providers. Timely, personalized estimates that reflect the true cost of care will give patients early clarity and avoid surprises later. Experian Health's patient estimates tools use real-time data, including insurance coverage, updated payer contract terms and current provider pricing, to calculate accurate estimates before services are delivered. Patients can receive estimates sent directly to their mobile device or generate estimates through a self-service web-based portal. Opportunity 3: Use automation to improve front-end data collection 56% of providers say patient information errors are a primary cause of denied claims 48% say data collected at registration is “somewhat” or “not” accurate 83% say there's an urgent need for faster, more comprehensive insurance verification Front-end operations are a major source of friction for both providers and patients. Four out of the five top patient access challenges reported by providers relate to front-end data collection, including improving insurance searches, reducing errors and speeding up authorizations. These inefficiencies don't just slow down internal workflows. Manual, error-prone processes lead to delays, claim denials and patient frustration. Providers note that staffing shortages are compounding the problem, which suggests that tackling these front-end workflows would be a strategic operational win. It's also a financial opportunity. In the CAQH's latest Index Report, shifting from manual to electronic transactions for administrative tasks such as eligibility checks, insurance verification and prior authorizations could save the healthcare industry up to $20 billion. Patient Access Curator uses automation and artificial intelligence (AI) to streamline patient access and billing, address claim denials and improve data quality from the outset. This integrated solution performs rapid eligibility, coordination of benefits (COB), Medicare Beneficiary Identifier (MBI), demographics and insurance discovery checks to ensure that all data is correct on the front end. Case study: See how Exact Sciences boosted their bottom line by $100 million with Patient Access Curator The State of Patient Access: From survey to strategy The overall takeaway in The State of Patient Access 2025 is that while progress is heading in the right direction, meaningful opportunities remain, especially when it comes to improving the patient financial experience, price transparency and front-end operations. Going forward, patients want financial clarity and confidence when accessing care. Providers, facing ongoing staffing and operational pressures, need smart and scalable solutions to meet those expectations. Now it's time to take those findings and deploy the right tools and strategies to keep the good work going. Download The State of Patient Access 2025 report to get the full survey results and contact us to see how we help healthcare organizations improve patient access with automation, AI and digital tools. Download the report Contact us

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

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

Revenue cycle management (RCM) challenges exist at every stage of the patient journey – from patient intake and registration to insurance eligibility, claims processing and collections. Creating administrative efficiencies, reducing claims denials, improving the patient experience and remaining compliant with payer requirements and industry regulations all play a role in successfully managing revenue cycles and avoiding uncompensated care. This article takes a closer look at some of the top challenges in revenue cycle management, their root causes and strategies that leaders can use to tackle RCM issues head-on. Common challenges in revenue cycle management Staying on top of current RCM challenges helps healthcare organizations keep revenue cycles on track. Some of the key roadblocks in revenue cycle management include: Complex billing processes Health payer requirements change often and vary widely among the hundreds of providers operating in the U.S. To avoid delays and lost revenue, claims must be coded and billed correctly – the first time. However, a streamlined approach for error-free insurance eligibility verification, prior authorization and claims processing isn't always simple for healthcare organizations to implement and maintain. This leads to mistakes, wasted staff time and revenue loss. Rising claim denials Claims denials are rising, leaving healthcare organizations to face potential hits to the bottom from delayed or unpaid claims. Denials often occur when claims with incorrect patient information and billing codes are submitted. However, outdated manual processes, overburdened administrative staff and rapidly changing payer requirements can make it tricky for providers to manage the claims process efficiently and error-free consistently. Collections delays Collecting payments continues to be a major bottleneck in the revenue cycle, wasting valuable staff time and hurting provider bottom lines. With rising healthcare costs, a growing number of patients are struggling to pay their medical bills—especially when they don't know the cost of care up front or are self-paying. Estimates created with inaccurate benefits information or missing coverage add to patient and provider frustration and collection delays. Check out this guide to choosing the right key performance indicators for your revenue cycle dashboard to ensure the effective implementation of RCM strategies. Why these obstacles persist: Root causes of RCM issues Current roadblocks in revenue cycle management often persist due to the following root causes: Strained resources: Labor shortages continue to plague the healthcare industry – leaving revenue cycle managers tasked with figuring out how to “do more with less.” With staffing shortages expected through 2030, according to American Hospital Association data, maximizing staff time and administrative efficiencies must remain a top priority for the revenue cycle Lack of patient access: Some patients think patient access has improved, but there's still a long way to go. Data from Experian Health's State of Patient Access survey shows that 51% of patients feel patient access has remained static, despite 28% reporting an improvement since the previous year. High healthcare costs: Many patients struggle to afford healthcare thanks to climbing out-of-pocket costs, higher premiums and more complicated medical issues. As the cost of care and health insurance continue to rise, patients may be more likely to delay or default on payments. Medical expenses aren't likely to go down, leaving providers to help patients understand their financial responsibility and provide a simple path to payment. Frequent regulation changes: Legislation, like the No Surprises Act, plus ever-changing payer requirements, are time-consuming for busy administrative teams to monitor. Outdated patient intake processes and verification systems further contribute to compliance issues and resulting claims delays and denials. How healthy is your revenue cycle? Our revenue cycle management checklist helps healthcare organizations catch inefficiencies and find opportunities to boost cash flow. How to overcome revenue cycle management challenges The following strategies can help busy RCM leaders take steps toward creating a successful revenue cycle. Boost patient access Healthy revenue cycles begin with efficient and streamlined patient access. According to Experian Health data, 60% of patients say they want more digital options to engage with their provider and are willing to switch providers to get more digital access. Patients want it to be simple to book an appointment and complete intake paperwork – on their own time. They want to see their provider quickly, understand the cost of care and have the option to pay bills online or set up a payment plan. Adopting patient engagement solutions that improve access helps healthcare organizations foster more positive experiences, deliver better outcomes, collect more accurate patient data and increase their bottom lines. Providers can put patients in the driver's seat with tools that streamline scheduling, registration, estimates and payments. Staff is freed up from repetitive administrative tasks, patient no-shows decline, claims denials are reduced and collections are expedited. Improve claims management processes Processing claims is a significant contributing factor toward “wasted” healthcare dollars. According to Experian Health survey data, 73% of respondents agreed that claim denials are increasing, compared to 42% in 2022. Bad data is to blame, with providers saying incorrect information and authorization are driving the uptick in denials. 67% of respondents also agreed that reimbursement times were longer, indicating a broad issue with payer policy changes and claims errors. Revenue cycle managers who want to prevent denials, rather than just manage them, can reduce denials with automated claims management solutions. Tools like Experian Health's award-winning ClaimSource® make the claims editing and submission process effective and efficient. Other solutions, such as Claims Scrubber, help providers submit complete and accurate claims, resulting in more timely reimbursement and a healthier bottom line. In the case of denials, AI AdvantageTM - Denial Triage, uses artificial intelligence (AI) to identify denials with the highest potential for reimbursement, so that teams can focus on remits that have the most impact. Learn how Indiana University Health processed $632 million in claims transmissions in one week after a halt to operations. Keep pace with changing payer policies and healthcare regulatory and compliance standards According to Experian Health survey data, more than 75% of providers agree that payer policy changes are increasing. Staying up to speed on the ever-evolving compliance landscape is critical for RCM leaders who want to reduce claim denials, payment delays, and administrative backlogs. Digital regulatory solutions, like Insurance Eligibility Verification, can help providers keep up with evolving payer policies. Experian Health's price transparency solutions, like Patient Estimates and Patient Financial Advisor, allow healthcare organizations to remain compliant with regulatory requirements. Price transparency solutions provide proactive pricing information and make it easier for patients to pay, all while improving patient satisfaction. Nicole Ready, Revenue Cycle Systems Manager, at South Shore Health and Michael DiCarlo, Sr. Advisor, Revenue Cycle Operations at Northwell Health, discuss how they deliver better patient experiences with Experian Health's Price Transparency solutions. Preparing for new and evolving RCM hurdles Technology will continue to play a defining role in the future of revenue cycle management, for patients, providers and payers. Healthcare organizations can stay competitive by embracing AI and automation-based RCM solutions. From claims processing, verifying COB, MBI, and demographics in one click, prior authorizations to data analytics, RCM leaders can rely on AI and automation tools to optimize every stage of the revenue management cycle. Turning RCM roadblocks into opportunities for growth Revenue cycle management challenges are among the greatest obstacles facing today's healthcare organizations. However, improvements in digital tools and analytics can help providers keep revenue flowing while maintaining compliance and the patient experience in focus. With the right technology partner, RCM leaders can turn obstacles into growth opportunities. Experian Health's Revenue Cycle Management solutions can help your organization optimize revenue cycle management from patient intake to reimbursement. Learn more about how Experian Health's revenue cycle management solutions help healthcare organizations generate more revenue and increase their bottom lines. Learn more Contact us

The denial challenge is getting tougher. In Experian Health's latest State of Claims 2024 survey, almost three-quarters of healthcare administrators agree that claim denials are increasing. The majority also agree that difficulties with claims—like reimbursement times, errors, and payer policy changes—are becoming more common. It's no surprise that denial prevention is a priority for 84% of respondents. However, many organizations still focus on reactive strategies, like working harder with denial management teams or appealing claims once the denial comes through. These efforts have their place, but they only address the problem after it occurs. It's a time-consuming, costly and ultimately inefficient way to face the denial challenge overall. A better approach is to figure out how to prevent claim denials in the first place. This article looks at how to build a proactive denial prevention strategy using automation and artificial intelligence (AI), to streamline claims processing and nip denials in the bud. Understanding denial prevention in healthcare Preventing denials starts with understanding the “ins and outs” of the claims process, particularly payer requirements. Denials occur when a payer refuses to reimburse a provider for services rendered, often due to avoidable coding errors, missing documentation or procedural mistakes. When that happens, providers are left to rework the submission or look elsewhere – most likely to the patient – to fill the funding gap. Many are simply written off to bad debt. To avoid receiving an 835 file with the dreaded claim denial notice, providers must focus on the root causes of denials and get ahead of the pitfalls. The importance of claim denial prevention With denial rates exceeding pre-pandemic levels, 42% of survey respondents say the economy and declining consumer confidence make payer reimbursements more urgent. While financial stability is the obvious driver for getting claims right the first time, denial prevention also improves operational efficiency and reduces the billing and coding staff workload. Denials are frustrating for patients and staff. When claims are processed correctly the first time, providers avoid delays and billing complications and reduce patient stress over unexpected costs. Preventing denials is critical for maintaining trust and ensuring patients feel secure about their financial obligations. How to prevent claim denials Denial prevention strategies should start with addressing the underlying causes of denials. Here are five denial prevention strategies to consider: 1. Improve data accuracy from the start Garbage in, garbage out. If patient information, insurance eligibility, prior authorizations and billing codes are input incorrectly or missing altogether, providers will continue to submit error-filled claims that have no hope of being paid. Tools like Patient Access Curator can verify relevant data for accuracy before claim submission and reduce the risk of denial. 2. Use AI and automation for efficiency If there was ever a case for using automation and artificial intelligence, it's in claim denial prevention. However, around half of providers are still using manual processes, leaving them playing catch-up to the payers who are already using AI to work at scale. Only 10% have automated the process, using AI to correct and resubmit claims. Tools like ClaimSource® can automate eligibility verification and coding, perform error checks before submissions and ensure claims meet payer requirements instantly. This cuts the time and effort wasted on manual processes, releasing staff to focus on activities that need human attention. 3. Automate pre-claim scrubbing to catch errors A great use case for automation is in providing an extra pair of eyes to pore over claims and catch common errors like missing data and wrong codes before submission. Experian Health's Claim Scrubber analyzes claims line by line to ensure that claims are submitted to payers and clearinghouses without errors, increase first-time pass rates and prevent rebilling. 4. Track performance for ongoing improvement Every denial prevention strategy should include monitoring and reporting. Tools that offer real-time tracking of key performance indicators such as denial rates, clean claim percentages, resubmission times, and the reasons for denials can help staff identify patterns. With these insights, they'll have complete visibility into any recurring problems clogging up their claims processes. 5. Outsource to a trusted vendor for extra support and expertise Finally, providers might consider outsourcing denial prevention to a specialist vendor who can help them develop the right strategy and toolkit to streamline billing, improve data integrity and manage claims to ease pressure on internal resources. Experian Health was client-rated #1 by Black Book™ ’24 in Denial & Claims Management Outsourcing, Health Systems. Learn more Proactively reducing claim denials These strategies raise an important question: can existing revenue cycle technology handle the increasing volume of denials? Healthcare administrators aren't convinced: only 54% of survey respondents feel their organization's technology is sufficient to meet demand, down 23 percentage points since 2022. To implement these denial prevention strategies effectively, providers may need to consider upgrading their toolkit rather than relying on traditional systems. Experian Health offers two AI-powered solutions that help providers better predict and prevent denials: Prevent denials with Patient Access Curator  Too many denials originate in patient access, so prevention must start here. Patient Access Curator uses AI-driven data capture technology to verify patient details quickly and accurately. With a single click, PAC can automatically check eligibility verification, coordination of benefits, Medicare Beneficiary Identifiers, coverage discovery and financial status. Running multiple manual queries is a thing of the past, saving staff hours and propagating clean data throughout the entire revenue cycle. Watch the webinar to learn more about how Patient Access Curator helps prevent denials with accurate data from the start. Predict denials with AI AdvantageTM Clean data sets the stage for denial prevention, but AI adds an extra layer of protection by forecasting potential issues before it's too late. AI AdvantageTM does this in two ways. First, the Predictive Denials component analyzes claims using the provider's own ClaimSource® data and alerts staff to high-risk claims so errors, inconsistencies or missing documentation can be corrected before submission. Next, the Denial Triage component prevents missed revenue opportunities by segmenting denials and guiding staff to those worth reworking. See how AI Advantage works: If providers can't prevent denials, they can't protect their bottom line. With the right data analytics, automation and AI, providers can take control and spot issues before they become problems instead of spinning their wheels in endless rework. With more advanced tech on their side, it's possible to close the gap with payers and prevent denials, but it also gives staff the headspace to focus on patient care and support. Find out more about how Experian Health's Claims Management solutions help providers build effective denial prevention strategies and reduce lost revenue. Learn more Contact us

According to a new report by the American Hospital Association, administrative costs now make up over 40% of total hospital expenses. Hospitals and health systems spend around $40 billion annually on billing and collections alone. For revenue cycle managers, the pressure is building as administrative tasks like insurance eligibility verification, claims management and payment processing overwhelm their teams and drain budgets. However, a sizeable chunk of these costs—perhaps as much as $18.3 billion—could remain in hospitals' hands if certain administrative tasks were automated. Automating key revenue cycle management (RCM) workflows improves efficiency, accuracy and cash flow, while easing staff stress and expediting patient care. Could it be the secret weapon to alleviating administrative burdens? This article looks at the issues in further detail, and explores 5 use cases that show how automation can reduce administrative costs in healthcare. Understanding administrative costs in healthcare Spending on healthcare administration in the U.S. has risen from $654 per person in 2013 to $925 in 2021. Administrative costs cover the resources needed to manage the non-clinical aspects of care. These resource requirements are immense in a complex system with multiple payers, fragmented data systems and growing regulatory demands. Add persistent staffing shortages and increasing patient volumes to the mix, and it's easy to see how costs spiral out of control – especially when relying on inefficient systems. The billions of dollars and hours of staff time consumed by administrative tasks make it clear that resources are not being used most effectively. This is where automation can make a difference. The role of automation in healthcare Automation reduces human errors, speeds up workflows and accelerates cash flow. It frees up time, money and headspace to optimize services and improve patient experiences. It's no wonder it's gaining traction in revenue cycle management. However, many providers are not fully capitalizing on automation's potential: Experian Health's latest State of Claims 2024 report shows that fewer healthcare administrators feel their organization's technology is sufficient to meet RCM demands compared to two years ago. How can they tap into the benefits of automation to reduce administrative costs? Benefits of automation and how it can reduce administrative costs in healthcare Automating healthcare administration is about doing more – and better – with less. Some of the benefits include: Fewer errors in billing, coding and claims management. Fewer mistakes mean fewer denials, which translates to faster payments and less rework. Reducing time to get paid, as automated processes speed up claim submissions, insurance verification and payment collections. Cash flow improves and staff spend less time chasing payments. Alleviating staffing shortages, as automation takes care of repetitive tasks like data entry, payment reminders and reporting. Management can reduce the burden on overworked staff and curb training costs, while teams can focus on “value-added” work. Improving efficiency in every corner of the revenue cycle. Automating routine tasks makes the entire billing and revenue cycle process more efficient, allowing teams to handle more work in less time without increasing headcount. Happier patients (and a better-looking bottom line). Automation makes it easier for patients to understand their bills, set up payment plans and pay their balances online. Satisfied patients are more likely to pay on time, reducing the cost of chasing overdue payments. Implementing automation in healthcare When it comes to reducing administrative costs, selecting the right parts of the workflow to automate is key. Here are five possible use cases to consider: 1. Streamline insurance eligibility checks “Checking if my insurance was accepted was a fast and friendly process. The staff even helped clarify which insurance was the right one for me since I had multiple cards.” This is what one patient at Providence Health said, after the health system switched to automated insurance eligibility verification. Insurance Eligibility Verification connects to over 900 payers and automatically checks patients' coverage and plan-specific benefits information in real-time. This reduces the manual effort required by staff and prevents the delays and denials that lead to additional administrative costs. As the patient notes, it means patients get early clarity about how their care will be funded, so there are no surprises later. Read the case study: How Providence Health found $30M in coverage and reduced denials with automated eligibility checks. 2. Automate claims submission More than half of healthcare administrators say that claims errors are increasing. A quick win would be to use automation to pre-fill patient data and avoid the inconsistencies and typos that occur with manual input. A more significant gain could come from combining multiple automations to populate, check and track claims submissions. Tools like ClaimSource® can automate the entire claims cycle in a single application. Indiana University Health (IU) utilized ClaimSource to process $632 million in claims transmissions in just one week, after a halt to their operations. Summit Medical Group paired Claim Scrubber with Enhanced Claims Status to improve claims submission. Claim Scrubber ensures all claims are complete and accurate before being sent to the payer, and generates alerts so staff can intervene quickly if an error pops up. Enhanced Claim Status automatically pings payers for status requests so staff can spend less time seeking updates and accelerate follow-up activities. With this approach, Summit boosted their first-time pass-through rate to 92% and reduced accounts receivable days by 15%. Experian Health was client-rated #1 by Black Book™ ’24 in Denial & Claims Management Outsourcing, Health Systems. Learn more 3. Improve denial management Denials remain one of the biggest pain points for providers. Payers are miles ahead in their use of automation and artificial intelligence (AI), using sophisticated machine learning tools to process and deny claims at scale. Experian Health's flagship AI-powered denial management solution, AI AdvantageTM, can help close the gap. This tool “learns” from an organization's historical claims data and trends in payer behavior to predict the probability of denial. It also identifies and segments denials so staff can prioritize those with the highest chance of being reimbursed, reducing the time and cost of manual appeals and rework. 4. Accelerate patient payments On the patient side, automation can be deployed to send patients reminders about outstanding balances, set up payment plans and process payments quickly and securely. Simplifying patient billing makes it easier for patients to pay, which increases collections rates while reducing the need for follow-up calls. Read more: 5 ways patient payment software improves patient satisfaction 5. Generate better financial reports Another smart use case for automation is generating real-time revenue cycle performance reports. With advanced data and analytics, staff no longer need to spend hours compiling information, while managers get faster, reliable information to inform strategic decisions. Experian Health's healthcare data analytics turns raw data into business-ready information to find potential sources of revenue leakage and boost financial performance. The future of healthcare automation Automation is already helping reduce administrative costs in healthcare by relieving staff of the tedious, time-consuming, repetitive tasks that drain time and money. However, many still rely on old data systems that don't work well together, leaving revenue opportunities slipping between the cracks. Choosing solutions that improve integration and interoperability will continue improving data-sharing between platforms and services, further reducing errors and delays. Looking ahead, automation and AI will play an increasingly major role in handling complex tasks in revenue cycle management. RCM leaders will find even more opportunities to minimize manual intervention and lower administrative overheads as these tools evolve. Learn more about how Experian Health's automated Revenue Cycle Management solutions help reduce administrative costs in healthcare and create more resilient revenue cycles. Learn more Contact us

Maintaining a healthy cash flow is the only way to deliver quality patient care, invest in state-of-the-art technologies and keep daily operations running smoothly. But that's easier said than done: data errors, delayed payments, denials and staffing disruptions leave providers vulnerable to escalating admin costs and revenue leakage, with little left over to reinvest. By adopting a few key revenue cycle management (RCM) strategies, providers can sidestep these challenges and bring in more dollars. This guide summarizes five revenue cycle management best practices healthcare leaders should follow to optimize RCM workflows and promote financial stability. Key challenges in revenue cycle management Common issues that can get in the way of a healthy revenue flow include: Inaccurate patient data leading to coding errors, claim denials and billing delays Increasing numbers of denied claims generate costly rework and wasted time Payer compliance issues that are constantly changing and time-consuming to monitor Growing numbers of self-pay patients struggling to pay their bills Labor shortages increase pressure on staff and leave the door open to sub-par performance Inadequate data insights hindering management's ability to spot opportunities for improvement Rapid technological changes leave providers on the back foot if they fail to keep pace with new developments. The dream scenario would be to avoid all these potential obstacles before they do too much damage. In reality, providers will need to choose a few priority areas to troubleshoot. Check out this guide to choosing the right key performance indicators for your revenue cycle dashboard to ensure the effective implementation of RCM strategies. Revenue cycle management best practices What does a successful revenue cycle look like? For busy RCM leaders, deciding what to tackle first can be overwhelming. While there's no one-size-fits-all RCM strategy, there are a few key issues that all organizations must pay attention to. Here are five areas of best practice to factor in: 1. Streamline patient registration and insurance verification Accurate patient data is the number one factor in building a robust revenue cycle. It doesn't matter how efficient claims management and collections processes are if the data they use is flawed. Automated registration and verification tools reduce the chances of manual errors entering the system to ensure correct billing, reduce denials, and speed up reimbursement. One pitfall to watch out for is the fact that some digital tools still require staff to check multiple payer websites and data repositories to verify insurance eligibility. Experian Health's latest patient access solution, Patient Access Curator, avoids this by using AI-driven technology to collect and verify patient information with a single click. 2. Automate claims submission and management According to Experian Health's State of Claims 2022 report, 62% of providers feel they lack the necessary data and analytics to identify issues in claims submission processes. A similar number believe the absence of automation prevents improvement. The CAQH Index backs this up, with the latest estimates suggesting the healthcare industry could save $18.3 billion by switching to electronic transactions. As with patient intake, there's an opportunity to leverage automation in claims management to prevent errors and delays so the organization gets paid faster. Experian Health's claims management products—ranked #1 in 2024 surveys by both KLAS and Black Book—automate each step of the claims workflow so providers can submit clean claims quickly and cut the need for time-consuming manual work. 3. Optimize denials management and appeals with AI Despite best efforts, claims denials remain a burden for many RCM teams. However, proactively understanding and addressing the root causes can help keep denials under control. There's an opportunity to go a step beyond automation and see how artificial intelligence and machine learning can help combat the denials challenge. AI AdvantageTM evaluates individual claims in real time to flag those with a high likelihood of denials based on historical payment data, so staff can intervene quickly before submission. Denials are then triaged using advanced algorithms so staff can focus on reworking denials with the greatest chance of payment, rather than wasting time on those that are never going to be approved. Eric Eckhart, Director of Patient Financial Services at Community Medical Centers in California, says that since implementing AI Advantage, “Now I have almost a whole week a month of staff time back, and I can put that on other things. I can pull that back from outsourcing to other follow-up vendors and bring that in-house and save money. The savings have snowballed. That's really been the biggest financial impact.” Watch the webinar: Hear how Community Medical Centers and Schneck Medical Center are using AI AdvantageTM to prevent and triage denials. 4. Choose the right technology and tools for enhanced RCM The three previous revenue cycle management best practices emphasize the importance of selecting the right tools for the task. Two things to look out for when adopting a new RCM product are how well it integrates with existing tools and systems, and whether it offers meaningful insights to drive ongoing improvements. Experian Health's integrated RCM solutions are designed to fit together seamlessly, often allowing staff to view information from multiple workflows within the same dashboard. By bringing together metrics such as financial performance, billing efficiency and collections rates into one place, these tools help staff make strategic decisions about resource allocation and operational improvements. 5. Keep up with regulatory compliance Finally, ensuring compliance with regulatory requirements cannot be overlooked. The reputational and financial risks are too great. Regular training for staff on compliance issues and maintaining up-to-date knowledge of government and payer requirements will minimize the risk of penalties. Choosing RCM tools that automatically check for relevant updates can help providers stay current. Price transparency is a topical example. While the Hospital Price Transparency Rule is designed to help healthcare consumers understand healthcare costs and make more informed decisions about their care, implementation has proven tricky for providers. With the right technology and third-party support, it's much easier to stay compliant. Watch the webinar: See how Experian Health and Cleverley & Associates have partnered to help healthcare organizations navigate price transparency in 2024. Looking for more insights into revenue cycle management best practices? Contact Experian Health today to discover how our RCM solutions can transform your revenue cycle and increase cash flow year over year. Revenue cycle management solutions Contact us

Healthcare claim denials persist as a significant challenge, impacting the efficiency, affordability and timeliness of healthcare delivery and hospitals' financial well-being. They contribute a substantial portion of the staggering $265 billion annual in waste attributed to administrative complexities. On average, hospitals face a yearly loss of $5 million due to healthcare claim denials, amounting to 5% of their net patient revenue, according to the Journal of AHIMA. Yet it appears that the rise in claim denial rates continues unabated. Experian Health's State of Claims 2022 report revealed that 30% of respondents experience medical claims being denied in 10-15% of cases, and 42% confirm an increasing trend in denial rates from one year to the next. There is no question that the claims denial process is ripe for innovation, and that's where reducing healthcare claim denials with artificial intelligence (AI) comes in. Like many other sectors, healthcare providers are slowly but increasingly turning to automation and AI for more accurate data and better insights. The Experian Health survey shows over one-half of healthcare providers turn to AI-driven healthcare claims management software to reduce claim denials. "Adding AI in claims processing cuts denials significantly," Tom Bonner, Principal Product Manager at Experian Health, explains. AI automation quickly flags errors, allowing claims editing before payer submission. It's not science fiction—AI is the tool hospitals need for better healthcare claims denial prevention and management." The current challenges in claims management High patient volumes and complex payer policies Experian Health's 2022 State of Claims survey revealed that reducing denials was a top priority for almost three-quarters of healthcare leaders. Why? High patient volumes mean there are more claims to process, and changing payer policies and insurance coverage compound an already overwhelming problem. An Sg2 report predicts that patient volume issues will continue over the next decade, with inpatient hospital volumes growing by 2%. This rise in patient numbers will require more data for claims management processing. Hospitals, often short-staffed, will have to allocate more resources to ensure claim approval and increase efforts to address claims denial. In addition to managing increasing patient volumes, keeping track of changing payer coverage and requirements has always been challenging for providers. The inconsistency of these payer rules and communication problems exacerbate the situation. Healthcare providers may need efficient solutions to keep up with these rule changes or allocate more time and resources to addressing and revising claims. Labor shortages and financial pressures According to a data brief from the American Hospital Association, the increasing rate of clinician burnout, the enduring effects of COVID-19, and ongoing strains on the healthcare workforce are compelling hospitals to recognize and tackle chronic labor shortages. Notably, 80% of healthcare leaders acknowledge that chronic staffing shortages present significant risks for their organizations. Increasing denial rates is one way these risks manifest. As the State of Claims 2022 report confirms, 30% of respondents mentioned staffing shortages significantly contribute to healthcare claim denials. Additionally, Experian Health's recent survey, Short Staffed for the Long-Term, which investigated the impact of healthcare staffing shortages, found that 70% of respondents facing staff shortages also experienced increasing denial rates. Labor shortages mean fewer hands on deck to deal with the claims processing workload, while financial pressures on hospitals mean the stakes are higher than ever to solve the problem of claim denials. Limitations and costs of manual claims processes Health payers deny hospital systems about $260 billion worth of inpatient claims annually. According to Experian Health's survey, manual processing and a lack of automation are the primary reasons for these medical claim denials. The State of Claims 2022 report found that 61% of respondents do not automate claims submission and denial prevention processes, leaving them to rely on manually processing claims. However, manual claims management tools simply cannot keep up with the complexities and data-intensive nature of claims processing. When claims processes are handled manually, healthcare workers are burdened with cumbersome tasks that could have been automated, there is a higher risk of errors that lead to claims denial, and there'll be more need to dedicate extra time and effort to appeal denied claims. These intensive steps necessary for manual claims processing drain staff resources and create opportunities for money and time waste that are eventually detrimental to the hospital's financial circumstances. How AI and automation address healthcare claim denials Automation and AI can ease the pressure by processing more claims in less time. They give providers better insights into their claims and denial data so they can make evidence-based operational improvements. AI tools achieve this by using machine learning and natural language processing (NLP) to identify and learn from data patterns and synthesize huge data swathes to predict future outcomes. While AI is ideal for solving problems in a data-rich environment, automation in claims processing can complete rules-based, repetitive tasks with incredible speed and reliability that a person might not achieve. By using automation and AI in claims processing, healthcare providers can gain better insights into their claims and denial data, resulting in improved financial performance and greater efficiency. Tom Bonner says, "AI in healthcare claims processing maximizes the benefits of automation for better claims processing, better customer experiences and a better bottom line for healthcare providers." However, the pace of AI adoption is somewhat slower in healthcare due to legacy data management systems and data silos. As efforts to improve interoperability progress, providers will have more opportunities to deploy AI-based technology. This prediction is already evident in claims management, where executives are keeping an ear to the ground to learn of new use cases for reducing claim denials with AI to help maximize reimbursements. Key benefits of AI in healthcare claims management Healthcare claims management upgraded with the inception of AI-driven healthcare claims management software exponentially benefits claims management through its predictive, accuracy, and error-reduction capabilities. Predictive Analytics and Pattern Recognition: The benefits of AI in healthcare claims processing lie in the ability of AI-driven solutions to predict potential issues before they occur by analyzing claims and providing a probability of denial that allows the end user to intervene and determine the appropriate collection. AI can analyze patterns in historical claims data to predict future volumes and costs, so providers can plan accordingly without simply guessing at what’s to come. Error Reduction and Clean Claim Submissions: AI can also assist in identifying inaccurate claims and improve claims processing accuracy to ensure clean claim submission and efficient revenue cycle management. Case studies and real-world applications AI and automation in claims processing are helping healthcare providers overcome the challenges contributing to increasing claim denial rates. Experian Health's AI-driven and automation solutions, like AI Advantage™, enable clients to benefit from the full potential of AI and automation to minimize claim denials. How Community Medical Centers uses AI Advantage to predict and prevent healthcare claim denials Community Medical Centers (CMC), a non-profit health system in California, uses Experian Health's new solution, AI Advantage, which uses AI to prevent and reduce claim denials. Eric Eckhart, Director of Patient Financial Services, says they became early adopters to help staff keep up with the increasing rate of denials, which could no longer be managed through overtime alone. "We were looking for something technology-based to help us bring down denials and stay ahead of staff expenses. We're very happy with the results we're seeing now." AI Advantage reviews claims before they are submitted and alerts staff to any likely to be denied based on patterns in the organization's historical payment data and previous payer adjudication decisions. CMC finds this particularly useful for addressing two of the most common types of denials: those denied due to lack of prior authorization and those denied because the service is not covered. Billers need up-to-date knowledge of which services will and will not be covered, which is challenging with high staff turnover. AI Advantage eases the pressure by automatically detecting changes in how payers handle claims and flagging those at risk of denial so staff can intervene. This reduces the number of denials while facilitating more efficient use of staff time. Eckhart says that within six months of using AI Advantage, they saw 'missing prior authorization' denials decrease by 22% and 'service not covered' denials decrease by 18% without additional hires. Overall, he estimates that AI Advantage has helped his team save more than 30 hours a month in collector time: "Now I have almost a whole week a month of staff time back, and I can put that on other things. I can pull that back from outsourcing to other follow-up vendors and bring that in-house and save money. The savings have snowballed. That's really been the biggest financial impact." How Providence Health found $30M in coverage and reduced denial rates with automated eligibility checks Providence Health is a prominent health system with 56 hospitals and over 1,000 physician clinics, serving an annual patient volume of over 28 million. This magnitude of patient volume created greater issues with slow and manual payer eligibility processes and increased eligibility denials. Furthermore, in response to Epic's growing payer plan table, Providence Health sought an effective solution to merge and organize data on insurance plans, contracts, and reimbursement details and automate eligibility tracking within the system. Their search led them to Experian Health's Insurance Eligibility Verification solution. According to Emily Brown, Director of Operation Excellence, "Our search for a solution that seamlessly integrates with Epic led us to choose Experian as our preferred vendor, given their proven track record of working with Epic." Providence Health implemented Experian's Eligibility solution, including a Bad Plan Code Detection tool to catch coding errors before submission. The solution also allowed them to stay connected to over 900 payers and provide backup connectivity to over 300 additional payers for uninterrupted service. The solution's automated work queues also helped staff work more efficiently. Providence reduced denial rates, saving $18 million in potential denials in 5 months of implementing Experian's Eligibility solution. The tool also helped them find $30 million in coverage annually while reducing staff workload. How Schneck Medical Center prevents and triages denials with AI Advantage™ Schneck Medical Center delivers care to four counties in Indiana, supported by a team of over 1,000 employees, 125 volunteers, and close to 200 physicians. According to Skylar Earley, Director of Patient Financial Services, "The challenge we (Schneck Medical Center) sought to overcome by leveraging AI Advantage at our organization was just gaining more insight into how denials originate and what actions we can take to prevent those from happening." Schneck Medical Center collaborated with Experian Health to implement: AI Advantage™ — Predictive Denials and AI Advantage™ — Denial Triage. They aimed to use these tools to identify claims that were more likely to be denied so that the appropriate personnel could address them and clean them before sending them to payers. They also wanted to be able to identify and prioritize denials with the potential for revenue reimbursement that will impact their bottom lines. AI Advantage™ — Predictive Denials enabled team members to make informed and timely decisions before submitting claims. In the first six months of using the tool, Schneck achieved a 4.6% average monthly decrease in denials. The time spent on denials decreased by 4x, and flagged claims were resolved in 3–5 minutes rather than the previous 12–15 minutes per correction. With AI Advantage — Denial Triage, billers were able to redirect their effort on denials more likely to be reimbursed. This prioritization enables them to avoid wasting time on high-dollar claims that are unlikely to be paid. "We had no insight into whether we were performing value-added work when we followed up and worked denials. Now we see those percentages," says Skylar Earley, Director of Patient Financial Services Steps to implementing AI in claims management AI Advantage works in two stages in claims management, reducing claims denial and addressing denied claims to prioritize those with the best value for reimbursement. Stage One: Predictive Denials Stage one is Predictive Denials, which uses machine learning to look for patterns in payer adjudications and identify undocumented rules that could result in new denials. As demonstrated by CMC and Schneck Medical Center, this helps providers prevent denials before they occur. Stage Two: Denial Triage Stage two is Denial Triage, which comes into play when a claim has been denied. This component uses advanced algorithms to identify and segment denials based on their potential value so staff can focus on reworking the denials that will impact their bottom line. Enhancing revenue cycle management with AI Embracing integrated workflows uncovers novel applications for reducing healthcare claim denials with AI and automation. AI Advantage seamlessly works within ClaimSource®, which means staff can view data from multiple claims management tools in one place. These integrations amplify the benefits of each tool, giving healthcare providers better insights into their claims and denial data. With richer data, organizations will find new ways to leverage AI to increase efficiency, reduce costs and boost revenue. Key differentiators In addition to its AI solutions, Experian Health offers solutions that automate claims processing to facilitate claims management and increase efficiency. ClaimSource® helps providers manage the entire revenue cycle by creating custom work queues and automating reimbursement processing. This intelligent healthcare claims management software ensures clean claims before they're submitted, helping to optimize the revenue cycle. The software generates accurate adjudication reports within 24 to 72 hours to speed up reimbursement. ClaimSource ranked #1 in Best in KLAS 2024, for its success in helping providers submit complete and accurate claims. This tool prevents errors and helps prepare claims for processing. Because the claims are error-free, providers can optimize the reimbursement processes and get their money even faster. Another Experian Health solution, Enhanced Claim Status, improves cash flow by responding early and accurately to denied transactions. This solution gives healthcare providers a leg up on denied, pending, return-to-provider, and zero-pay transactions. The benefits include: Provides information on exactly why the claim was denied Speeds up the denials process Automates manual claims follow-ups Integrates with HIS/PMS or ClaimSource Automation frees up staff to focus on more complex claims Denials Workflow Manager integrates with the Enhanced Claim Status solution to help eliminate manual processes, allowing providers to optimize claims submission and maximize cash flow. Using AI and automated solutions to prevent healthcare claim denials There's no question that healthcare claims denials management is an unwieldy, time-consuming, and ever-changing process. Reimbursement is complex, but human error plays a large part in missed opportunities and lost revenue. The revenue cycle becomes seamless with AI and automation in healthcare claims management. Any healthcare provider seeking faster reimbursement and a better bottom line knows that improving claims management is critical to better cash flow. AI and automation-driven claims management software offers healthcare organizations a way to achieve these goals. Contact Experian Health today to prevent healthcare claim denials and improve your claims management process with AI Advantage and other denial management solutions.

In healthcare revenue cycle management (RCM), the mantra is clear: maximize revenue and minimize costs. It's more complex in practice, requiring RCM leaders to anticipate and adapt to whatever's around the corner. Following the latest revenue cycle management trends is vital, as economic turbulence and labor shortages demand flexibility and resilience. Competition from new players and changing consumer expectations call for constant updates to the latest technology. And currently, as electoral news cycles heat up ahead of the general election, attention is turning to potential policy changes and their implications for revenue cycle management. Keeping an eye on how the industry evolves will help RCM managers hold the course for financial stability and growth. Here are 12 revenue cycle management trends to watch: 1. Investment in managed RCM services Investment in managed RCM services has become an increasingly attractive option for RCM managers grappling with persistent workforce challenges and navigating the intricate landscape of payer policies. Outsourcing has become a strategic solution to address staffing shortages and limited resources. By partnering with vendors like Experian Health, healthcare organizations can get access to specialist expertise, datasets and automated technologies they'd be hard-pressed to develop in-house. For example, Collections Optimization Manager allows users to retain control and oversight of their collections processes but comes with real-time support from a dedicated Collections Optimization Consultant for a bespoke collections strategy built on data insights and industry knowledge. 2. Staff shortages and reimbursement model changes Staffing shortages are particularly problematic when they bump up against changing reimbursement models. Unfortunately, staffing shortages are still common in the future of revenue cycle management. In Experian Health's latest staffing survey, 69% of respondents believe that staffing will continue to be a problem in the future. More providers are moving to value-based care models, which have implications for claims submission processes and provider-payer relationships. High staff turnover leaves providers without the knowledge and expertise to handle more complex claims and billing processes. A tool like Contract Manager and Contract Analysis, recently awarded Best in KLAS for Contract Management, helps monitor and manage payer contracts to stay on top of terms and conditions, mitigate risk and maintain financial stability. 3. Workflow inefficiencies Another way to ease staffing pressures is to improve workflow efficiency. A recent Bain report found that 40% of clinicians reported a lack of effective workflows, while up to 70% had never tried automated workflow management. There's a missed opportunity here, as manual processes and communication bottlenecks seriously disrupt revenue cycle functions. Organizations that leverage more efficient ways of working will secure a competitive advantage as new demands and pressures arise. Reviewing key performance indicators is a good starting point for determining where to focus improvement efforts. 4. Technological advancements in RCM The ongoing evolution of artificial intelligence (AI) has profoundly impacted various sectors, and the realm of revenue cycle management is no exception. AI-based tools will continue to shape the future of revenue cycle management, and providers will have to implement these tools in order to keep up with the competition. Machine learning algorithms increase RCM efficiency and accuracy by automating routine tasks, while advanced tools like AI AdvantageTM analyze vast datasets to identify patterns and predict outcomes. AI Advantage transforms claims management by predicting claims that are most likely to be denied, and then triaging denials so staff can focus on those with the highest likelihood of reimbursement. Eric Eckhart, Director of Patient Financial Services at Community Medical Centers, says, “We were looking for something technology-based to help us reduce denials and stay ahead of staff expenses. We're very happy with the results we're seeing with AI Advantage.” 5. Technology integration The amount of data being collected, generated, processed and shared within healthcare organizations is skyrocketing. More data means greater capacity for personalized services, fewer gaps in care, and more streamlined RCM processes—but only if data systems talk to one another. Opting for a single integrated solution avoids the pitfalls of shoe-horning new tools into legacy systems. For example, Experian Health's acquisition of Wave HDC means organizations can now access a single tool to check multiple data sources at registration. Patient Access Curator uses AI to perform eligibility verification, coordination of benefits, coverage discovery and more, to help healthcare organizations accelerate registration and reduce claim denials. 6. Medical billing errors Whether a coding mistake or an accidental typo, billing errors cost providers dearly in lost revenue and time. Unfortunately, they're a growing risk as more patients show up with coverage from multiple payers and high deductibles. On the upside, organizations should see improvements with relatively little effort—assuming they deploy the right tools and strategies. Patient Access Curator, mentioned above, uses AI and robotic process automation to collect and verify the information needed to compile error-free claims with just a single click. Watch the webinar to find out more about how Patient Access Curator helps providers eliminate errors and reduce claim denials from the front end. 7. Patient-centric approaches A McKinsey report published in April 2024 highlighted a continuing trend in healthcare consumers' keenness to use digital products and services when accessing care. Experian Health's series of patient access surveys show a consistent desire for personalization, convenience, choice and compassion in patient access. These principles underpin Experian Health's approach to helping providers open their digital front door. Online self-scheduling, digital registration, and tailored patient outreach all improve patient satisfaction and engagement, subsequently bolstering revenue generation. 8. Financial clearance and diverse payment options One specific opportunity relating to the above point lies in offering a patient-centered financial experience. Financial clearance tools and flexible payment plans have gained prominence by making it easier for patients to understand and manage their financial obligations. Tools like Patient Financial Clearance automate presumptive charity screening to see if patients qualify for financial assistance programs, provide scripts to help staff deliver compassionate financial counseling, and calculate affordable monthly payments based on individual circumstances. Case study: Discover How UCHealth wrote off $26 million in charity care with Patient Financial Clearance. 9. Financial engagement and omnichannel platforms Patient collections are a growing challenge for providers. Patients similarly complain of unnecessary friction in the payment process: The State of Patient Access 2024 survey found that 72% of patients want more digital payment options digital methods. By providing a unified experience across online portals, mobile apps and point-of-service payments, providers can increase patient engagement with financial processes and accelerate collections. 10. Challenges specific to each revenue cycle segment Organizations are shifting away from uniform solutions for the entire revenue cycle and instead embracing tailored strategies that accommodate the unique requirements of various departments, services, and workflows. By harnessing advanced analytics and automation, providers gain insight into the nuanced challenges within revenue cycle management, enabling them to adopt the best tools. This approach ranges from customizing intake and billing processes on a departmental basis to automating claims processing tailored to different payers' specifications. 11. Customizable RCM solutions Just as patients want tailored solutions, so too do providers. Data analytics and AI advancements enable providers to develop claims management solutions that fit their unique mix of payers and patients. On a recent webinar, representatives of Eskenazi Health discussed their use of Patient Financial Advisor, and how Experian Health consultants helped their organization customize their setup and workflow. 12. The role of strategic partnerships Partnering with a vendor like Experian Health can be a transformative step for healthcare organizations seeking to optimize their operations and enhance patient care. With Experian Health's expertise in healthcare technology and data management, organizations gain access to a comprehensive suite of automated solutions tailored to their specific needs. This also ties in with the first item in this list: implementing new ways of working isn't always easy, but with a trusted vendor, providers can manage and accommodate revenue cycle management trends more confidently, efficiently, and cost-effectively. By partnering with Experian Health: Providence Health found $30million in coverage and reduced denial rates IU Health processed $632 million in claims transmissions The pace of change may be relentless, but with the right tools and support, RCM managers can stay one strategic step ahead and future-proof their revenue cycle for whatever surprises lie in store. Learn more about how Experian Health's revenue cycle management solutions can help providers keep up with revenue cycle management trends while maximizing revenue and minimizing costs.