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Medical billing errors are common problems that can lead to significant financial losses for healthcare organizations. While most medical billing errors are preventable, outdated systems, complex processes and human errors often result in delayed or denied claims. Faced with ever-increasing overhead costs, workforce challenges and growing volumes of data, healthcare leaders will need to implement modern medical billing software solutions to improve revenue cycle management (RCM) medical billing efficiencies, without adding costly headcount or overhead. This article reviews the role modern medical billing software plays in revenue cycle management and how RCM leaders can use it as a top defense to prevent costly claim delays and denials. What is medical billing software in revenue cycle management? Medical billing software is a critical tool healthcare organizations use to streamline patient billing and collections in revenue cycle management. Revenue cycle leaders know that outdated and complex billing processes can wreak havoc on the entire revenue cycle and waste valuable staff time. However, medical billing in revenue cycle management allows providers to optimize the entire revenue cycle — from pre-visit insurance verification and cost estimates through patient billing and collections. Automated medical billing processes in the revenue cycle can help improve efficiencies, reduce errors, and create more reliable collections processes. This allows healthcare organizations to deliver better patient care while protecting their bottom line. How software powered by artificial intelligence (AI) improves medical billing efficiency AI-powered software helps providers manage many types of complex revenue cycle billing processes — from claims management to collections. Providers that embrace AI often benefit from streamlined medical billing processes, fewer claim denials, real-time eligibility verification, better data insights and productivity boosts. For example, AI-powered software can streamline medical billing by automating repetitive tasks, like insurance verification checks, so providers can prevent and catch errors, speed up reimbursements and stretch strained resources. On the front end, with single-click AI-driven data capture technology, running multiple manual eligibility queries is no longer necessary. Now, with solutions like Patient Access Curator, patient details can be verified quickly and accurately. Patient Access Curator leverages AI and machine learning to automatically handle eligibility verification, coordination of benefits, Medicare Beneficiary Identifiers, insurance discovery and more, with just one click. This saves staff hours and reduces human errors that can lead to claims denials and costly delays later on. Ken Kubisty, VP of Revenue Cycle at Exact Sciences, shares how Patient Access Curator helped their organization reduce claim denial errors and added $75 million in insurance company collections. AI-driven predictive analytics solutions, like AI Advantage™, can also help staff identify claims that may be at risk of denial, so potential issues can be handled before submission — saving even more staff time. When admin overhead is minimized, there's less burnout and less stress. Staff can focus on higher-priority tasks, and healthcare organizations can see productivity increase overall. Preventing claims denials with better billing solutions Claims denials are on the rise with healthcare organizations being left on the hook for delayed or unpaid claims. In the State of Claims 2024 report, 38% of survey respondents said that at least one in ten claims is denied. Some organizations see claims denied more than 15% of the time. That's a lot of cost in reworks and lost revenue. Nearly half of providers say patient information errors are a primary cause of denied claims. Errors are common during pre-visit insurance verification due to error-prone manual processes, but can happen at any point during the collection process. Medical billing software helps providers reduce errors and submit cleaner claims right from the start and catch errors before they become costly problems. Here are some of the key ways medical billing software like Experian Health's Patient Access Curator solution helps providers head off claims denials before they happen.   Eligibility checks: Automatically verifies patient eligibility and updates records in real-time to ensure patient information is accurate before claims submission. Coordination of Benefits (COB) verification: Discovers and verifies secondary and tertiary insurance coverage to reduce the risk of COB-related denials while using AI-powered technology to seamlessly integrate with a provider's eligibility verification process. Medicare Beneficiary Identifiers (MBIs): Updates MBIs to confirm patient records are correct and compliant with Medicare requirements while using AI-driven technology and automation to find and correct patient identifiers automatically. Demographics: Patient demographic information is corrected and updated using in-memory analytics and Experian Health's proprietary algorithm to accurately find and fix contact information. Insurance Discovery: Identifies and corrects missing or incorrect insurance information to ensure claims are submitted with the most accurate information available. Discover how Experian Health's revolutionary AI-powered revenue cycle solution is turning denial management into denial prevention. Patient Access Curator solves for missing or correct data in real-time at registration and scheduling, creating a smooth, clean claim process and lowering denials by double digits. Optimize efficiencies in claims management through AI Experian Health customers currently using ClaimSource® can now improve their claim management strategy — before claim submission and after denial. With AI Advantage™ Predictive Denials and Denial Triage, providers can leverage historical claims data and Experian's deep knowledge of payer rules to continuously adapt to an ever-changing payer rules landscape.AI Advantage's - Predictive Denials component reduces denial rates, detects payer changes and empowers staff to focus on highest-priority claims, while AI Advantage's - Denial Triage identifies denials with the highest reimbursement potential and uses AI to segment denials, eliminating guesswork for billers. Watch the video to learn more about the two components that make up AI Advantage, and how healthcare organizations can transform the reimbursement process and decrease claim denials for good. Medical billing software is only getting smarter and faster Upgrading outdated manual medical billing processes results in cleaner claims, improved staff efficiencies, better care and improved patient satisfaction. Today's AI-driven technology brings medical billing in RCM to the next level, enabling time-strapped providers to do even more with less. Now busy providers can streamline manual processes that used to take hours into just seconds. With this new technology, patient information is accurate when claims are submitted, eliminating the need for costly reworks and hits to the bottom line. As more providers adopt AI technology for RCM in medical billing and software solutions get more sophisticated, providers will see new success stories in its power to help healthcare organizations optimize the entire revenue cycle. Learn how tools like Patient Access Curator and AI Advantage can help healthcare organizations prevent claim denials and improve medical billing in RCM. Learn more Contact us

Ask any healthcare revenue cycle manager how they feel about using artificial intelligence (AI), and the response is likely to be “hopeful, but wary.” The potential is clear — fewer denials, faster reimbursements and more efficient workflows. However, with adoption slowing, it seems many have lingering concerns about implementation. According to Experian Health's State of Claims survey, the number of providers using automation and AI in revenue cycle management has halved from 62% in 2022 to 31% in 2024. Despite these reservations, there are bright spots. From preventing claim denials to automating patient billing, AI and automation are already helping many healthcare organizations improve operations, boost financial performance and deliver a better patient experience. This article examines what providers need to know about bringing AI technology into their revenue cycle. Understanding the role of AI in revenue cycle management AI regularly hits the headlines for its clinical applications, like medical imaging analysis, drug discovery and surgical robotics. But behind the scenes, it's also quietly transforming revenue cycle management (RCM). Non-clinical processes like medical billing, claims management and patient payments are complex. Trying to manage these manually results in slow reimbursement and strained resources. AI offers efficient solutions to reshape how providers manage these pressing issues, giving them a head start in coping with increasing costs, workforce challenges and ever-increasing volumes of data. Benefits of AI in healthcare RCM  For most providers, AI's main draw is its ability to deliver significant financial savings. The most recent CAQH index report suggests that switching from manual to electronic administrative transactions could save the industry at least $18 billion. That's a compelling prospect for revenue cycle leaders looking to do more, and faster, with fewer resources. These financial savings aren't just the result of direct cost-cutting – they stem from the broader operational benefits AI brings to the table. These include: Streamlined billing processes: Automating repetitive tasks and minimizing human error reduces costly mistakes that lead to payment delays Fewer claim denials: Predictive analytics help staff identify claims that may be at risk of denial so that issues can be tackled upfront Real-time eligibility verification: AI tools can check a patient's insurance details in an instant, to catch outdated information and prevent billing mistakes and denials Better data insights: AI has the power to analyze vast datasets and find patterns and bottlenecks to help teams improve decision-making Productivity boost: With reduced admin overhead, staff can focus on higher-priority tasks and improve overall performance, with less stress and burnout. The benefits extend to patients, too. Behind every denied claim or billing error is a patient caught in administrative confusion. By automating processes, eliminating errors and increasing transparency, AI and automation help providers give patients financial clarity throughout their healthcare journey. How AI is revolutionizing healthcare RCM  Here are some examples of what this looks like in practice: Using AI to manage complex billing procedures Medical billing errors cost healthcare organizations millions of dollars each week, and the problem is only getting worse. Experian Health's State of Patient Access survey 2024 found that 49% of providers say patient information errors are a primary cause of claim denials, while in the State of Claims survey, 55% of providers said claim errors were increasing. Manual processes make managing the complexity of insurance plans, billing codes and patient payments near impossible. AI simplifies the task. For example, Patient Access Curator uses AI-powered data capture technology, robotic process automation, and machine learning to verify coverage and eligibility accurately with one click. This ensures accuracy throughout the billing cycle, reducing denials and accelerating collections. On-demand webinar: Watch our recorded session to hear how revenue cycle leaders from Exact Sciences and Trinity Health share their strategies and success stories with the Patient Access Curator. Using AI to prevent claim denials Claims can be denied for many reasons, but poor data consistently tops the list. Even so, around half of providers are still using manual systems to manage claims. AI helps providers buck the trend by improving data quality and using that data to improve claims management. Experian Health's AI AdvantageTM, available to those using the ClaimSource® automated claims management system, analyzes patterns and flags issues before claims are submitted, using providers' historical payment data together with Experian Health's payer datasets. It continuously learns and adapts, so results continue to improve over time. Read the case study: AI Advantage helped Schneck achieve a 4.6% average monthly decrease in denials in the first six months. Using AI to reduce patient payment delays The rise in high-deductible health plans is associated with a greater risk of missed patient payments. According to SOPA, 81% of patients said accurate estimates help them prepare for the cost of care, and 96% are looking for their provider to help them make sense of their insurance coverage. AI is vital for providers looking to help patients understand their financial responsibility early and avoid payment delays. With solutions like Patient Access Curator, staff no longer need to sift through piles of patient data and payer websites to verify eligibility and get a clear picture of a patient's insurance coverage. Instead, they can quickly gather the information they need to give the patient a prompt and accurate breakdown of how the cost of care will be split. "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." Ken Kubisty, VP of Revenue Cycle, Exact Sciences Key AI technologies driving RCM transformation Healthcare revenue cycle managers have long trusted automation to handle repetitive tasks. Hesitancy around AI may stem from a lack of familiarity with its more advanced capabilities. Findings from the State of Claims survey reveal a widening comfort gap, with the number of respondents feeling confident in their understanding of AI dropping from 68% in 2022 to 28% in 2024. So, what are some of the key technologies providers should understand to help bridge the gap? While automation relies on straightforward, rule-based processes to handle repetitive tasks, AI tools are capable of learning, adapting and making decisions. A few examples to be aware of include: Machine learning: Analyses historical data to predict trends like claim denials and payment delays, and use this knowledge to prevent future issues Natural language processing: Extracts actionable insights from unstructured data, such as clinical notes and patient communications, giving staff consistently formatted data to use in RCM activities AI-powered robotic process automation: Goes beyond basic automation to handle decision-based workflows with precision, for example, in evaluating claims information to make predictions about the likelihood of reimbursement. Challenges and considerations in implementing AI in RCM Getting to grips with what AI technologies offer is an important first step for healthcare revenue cycle managers. However, successful implementation also calls for consideration of the practical challenges. Can AI solutions be successfully integrated with existing legacy systems? Will the data available be of high enough quality to drive meaningful insights? Are the costs of implementation within budget, especially for smaller providers? Is the workforce ready to buy into AI, or will extensive training be needed? With careful planning and a trusted vendor, these challenges are manageable. Embracing AI for a smarter, more efficient RCM The benefits of AI in revenue cycle management are clear: more innovative, faster processes that free up staff time and reduce errors, resulting in much-needed financial gains. To maximize AI, providers should begin by reviewing their organization's key performance indicators and identifying areas where AI can add the most value. This should focus on points in the revenue cycle where large volumes of data are being processed, such as claims submissions or patient billing, which are common areas for inefficiencies and errors. By taking a strategic, targeted approach, providers can find the right AI solutions to make the biggest impact – whether it's through curating patient insurance information, improving claim accuracy or predicting denials. A trusted vendor like Experian Health can guide teams through the AI setup and make sure it meets their needs. Find out more about how Experian Health helps healthcare providers use AI to solve the most pressing issues in revenue cycle management. Learn more Contact us

As margins tighten, traditional revenue cycle management strategies are on shaky ground. Many healthcare providers are turning to automation and AI to simplify payments, prevent revenue loss and protect profits. This article breaks down some of the most common revenue cycle management (RCM) challenges facing healthcare leaders and offers a practical checklist to optimize patient access, collections and claims management, while building a resilient and patient-centered revenue cycle. Common challenges in revenue cycle management Revenue cycle management is how healthcare organizations handle the financial side of patient care, from patient billing to claims management. Healthcare providers rely on RCM to ensure they are properly paid, so they can keep the lights on, pay their staff and deliver quality patient care. Are traditional RCM strategies still fit for purpose? Consider some of the current challenges: Patients are responsible for a larger share of costs due to high-deductible health plans. How can providers help them understand their financial obligations and make it easier to pay without hurting their experience? Minimizing claim denials is a daily focus, thanks to constantly changing policies and regulatory updates. How do revenue cycle teams keep up with payers? Staffing shortages remain on the agenda. How can providers ease pressure on staff to maintain productivity and morale? There's also the question of how to turn mountains of data into actionable insights. How do teams interpret it correctly to identify bottlenecks and opportunities for improvement? Automation and AI offer a way through. When implemented thoughtfully, these tools can speed up processes, reduce errors and clear operational roadblocks for a more resilient revenue cycle. The following revenue cycle management checklist includes some of the key questions to consider along the way. Checklist for improving revenue cycle management Automating patient access Can patients book appointments online? Does the online scheduler automate business rules to guide patients to the right provider? Are patient identities verified at registration and point of service? A healthy revenue cycle starts with efficient patient access. According to the State of Patient Access 2024, 60% of patients want more digital options for scheduling appointments, managing bills and communicating with providers. Providers who see improvements in patient access also credit automation, which speeds up intake and improves accuracy. A good first step is to replace paper-based processes with online self-scheduling and self-service registration. These tools make life easier for patients, boosting satisfaction, retention and engagement. Behind the scenes, Experian Health's new AI-powered tool, Patient Access Curator, helps providers get paid faster by verifying and updating patient information with a single click – accelerating registration and paving the way for faster reimbursement. Register now: Exact Sciences and Trinity Health will share how Patient Access Curator is redefining patient access in this upcoming webinar. Optimize patient collections with data and analytics Are patient estimates provided upfront? Are notice of care requirements being addressed? Are patients offered appropriate financial plans and easy ways to pay? With more financial responsibility resting on patients' shoulders, patient collections are under the spotlight. The State of Patient Access report shows that upfront estimates and clarity about coverage are top priorities for patients, because when they know what they owe, they're more likely to pay on time. Implementing tools to promote price transparency and easy payment methods should feature in any RCM checklist. With Coverage Discovery, healthcare organizations can run checks across the entire revenue cycle to find billable commercial and government coverage that may have been forgotten, to maximize the chance of reimbursement. Meanwhile, Patient Payment Estimates offers patients clear, accessible estimates of their financial responsibility before treatment, so that hose who need financial assistance can be directed automatically to payment plans and charity options. Case study: How UCHealth secured $62M+ in insurance payments with Coverage Discovery® Improve claims management to reduce denials Are high-impact accounts prioritized? Are remittances reconciled with payments received? Does claims management software generate real-time insights and reports? With 73% of healthcare leaders agreeing that denial increased in 2024, and 67% saying it takes longer to get reimbursed, claims management is a great use case for automation. ClaimSource®, ranked Best in KLAS in 2024 for claims management, automates the entire claims cycle in a single application. It integrates national and local payer edits with custom provider edits to verify that each claim is properly coded before submission. By focusing on high-priority accounts, providers can target resources in the most effective way to ensure a higher first-pass payment rate. A major advantage for ClaimSource users is access to AI Advantage™. This tool utilizes AI to “learn” from an organization's historical claims data and trends in payer behavior to predict the probability of denial. It also segments denials so staff can prioritize those that are most likely to be reimbursed, reducing the time and cost of manual appeals and rework. Case study: After using AI Advantage for just six months, Schneck Medical Center reduced denials by an average of 4.6% each month, and cut rework time from 12 to 15 minutes per correction to under 5 minutes. Benefits of implementing a revenue cycle management checklist The key to choosing the right RCM tools and technologies is to build the strategy around what patients need most. A clear, transparent and compassionate billing experience is more manageable for patients and helps providers get paid faster. An RCM checklist helps teams stay focused on the tasks that matter. Providers can build on the suggestions above by choosing the key performance indicators (KPIs) that align with their specific goals. Metrics like financial performance, billing efficiency and collections rates can be combined to guide resource allocation, drive improvements and speed up reimbursement. With a well-designed checklist informed by clear KPIs, revenue cycle leaders can keep their teams on track and take their organizations from “surviving” to “thriving.” Learn more about how Experian Health's revenue cycle management tools can help healthcare providers meet current challenges, improve the patient experience and increase cash flow. Learn more Contact us

The growing shift from inpatient to outpatient care continues. The U.S. ambulatory services market was estimated at USD 289.5 billion in 2023 and is projected to grow at a CAGR of 5.38% from 2024 to 2030. A Deloitte study notes that the gap between inpatient and outpatient revenue has been closing for two decades. But what's driving this boom? Clinical advances, patient demand for lower-risk and lower-cost options and payer pressure all play a role. New technologies, like advances in orthopedics, allow more procedures to be performed at outpatient service centers instead of costly hospital settings. Free-standing ambulatory surgery sites are expected to see a 14% volume boost over the next decade as more service lines, like cardiovascular and neurosciences, begin to shift procedures from inpatient to outpatient facilities. The ongoing growth in outpatient services presents a unique opportunity for revenue cycle leaders to use technology to improve outpatient revenue—and the overall patient experience. Grow outpatient revenue with more digital care Patients want a better experience at every step of the patient journey. They want to see their doctor faster, manage appointments online and understand how much it costs—with as little red tape as possible. A lack of streamlined patient access and transparency often results in no-shows, a rise in claims denials, wasted staff time and patient complaints. However, by opening the digital front door, providers can give patients the self-service tools they crave, improve the care experience, keep outpatient schedules full and increase revenue. Additionally, providers can use technology like artificial intelligence (AI) to lower claim denial rates. Here are five strategies to increase outpatient revenue in 2025. 1. Make patient access simple Patients want to see their doctor faster. In Experian Health's latest State of Patient Access survey, eight in ten patients who reported being unhappy with their provider experience cited waiting for an appointment as a top complaint. When trying to schedule, patients are also frustrated by the friction that comes with complex processes, clunky technology systems and sparse provider communication. Outdated manual workflows, staffing shortages and lack of staff training often result in challenges for both patients and providers. Improved patient access is at the heart of patient-centered healthcare. Technology designed to put the patient in control, like online patient scheduling and digital patient intake tools, offer continuous patient engagement, optimized scheduling, and streamlined administrative processes. By leveraging modern patient access solutions, providers can improve patient experiences and alleviate the impact of staffing shortages. 2. Reduce appointment no-shows Missed appointments cause headaches for patients, providers, and revenue cycle managers. Online scheduling and mobile registration are also top of mind for patients. In Experian Health's State of Patient Access 2024 survey, 89% of patients said they wanted self-service scheduling and 85% reported a dislike for filling out repetitive intake paperwork. Online patient scheduling software puts patients in the driver's seat, providing convenient and secure 24/7 access to book, reschedule, and cancel appointments on their own time. Solutions like Patient Schedule sync seamlessly to an organization's scheduling rules, and patients receive automated appointment reminders by text or IVR. On average, providers that use Experian Health's scheduling solution experience an 89% show rate, a 50% reduction in scheduling time, and a 32% increase in patients per month. Patient intake tools like Registration Accelerator simplify mobile registration with a streamlined text-to-mobile experience. Once registration is complete, automated returns of forms, patient-check-ins and demographic information ease the burden on staff. 3. Help patients prepare for outpatient costs Patients need a clear breakdown of their financial responsibility before receiving care. Without it, they may be unable to prepare for care costs appropriately. While hospitals are now required to share detailed pricing for at least 300 common procedures, confusion around a patient's actual financial responsibility still persists. More than half of patients report turning to their provider for help understanding what insurance covers. Digital solutions that provide accurate, upfront estimates empower patients. More than eight in ten patients say pre-service estimates help them prepare for the cost of care. Patient Payment Estimates provide upfront, real-time estimates of what a patient will owe. Providers can offer convenient and secure payment links, and allow patients to pay their bills online or see customized payment plans. Outpatient providers can further maximize the chance of reimbursement by running health insurance coverage checks across the entire revenue cycle. This can help find billable coverage that may have been forgotten and give patients greater certainty about what they'll owe. 4. Automate healthcare collections Collections are often a major challenge in the outpatient revenue cycle. Outpatient procedures can be costly, even with insurance, leaving patients responsible for potentially large bills. Automating healthcare collections allows for faster, more efficient, and more compassionate collections. Tools like Collections Optimization Manager helped Novant Health achieve an overall recovery rate of 6.5% and increase revenue and cost savings to a rolling average return on investment of 8.5:1. With automated tools like Patient Financial Clearance, providers can assess patients' ability to pay and assign them to an appropriate financial pathway. This allows patients to quickly get the assistance they need while freeing up valuable staff time. 5. Streamline claims to increase outpatient revenue Denied claims continue to be problematic for providers. In Experian Health's State of Claims 2024 report, which surveyed 210 healthcare revenue cycle leaders, nearly three-quarters of providers feel claims denials are increasing, while 67% feel getting paid is taking longer. Claims management software can help end the cycle of denials. However, around half of providers still use a manual claims review process, and only 28% feel confident in their understanding of automation, machine learning and AI. Adopting automated and integrated healthcare claims management solutions can reduce errors, prevent undercharges, and ensure a higher first-pass payment rate. Tools like Experian Health's ClaimsSource® simplify the entire claims process, while Claim Scrubber helps providers submit more accurate claims. Digital solutions can also automate claim status monitoring and eliminate manual denial processes. Implementing AI tools to interpret past claims data and recommend next steps can improve outpatient claim denial statistics. Tools like AI AdvantageTM look at past payer behavior and historical claims data to predict and prevent denials. AI Advantage's two components, Predict Denials and Denial Triage, help providers respond to growing denial challenges by identifying claims with a high likelihood of denial before submission, and focus on remits that have the most impact. See how: Find out more about how Experian Health's revenue cycle management solutions can help healthcare organizations increase outpatient revenue, keep pace with growing patient volumes, improve patient satisfaction and boost 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

Reimbursement issues in the healthcare industry are complex, but reimbursement is essential for healthcare organizations. Proper reimbursement allows providers to run operations efficiently and deliver consistent, high-quality patient care. It also enables organizations to invest in technologies that advance their operations. Read on to learn more about the causes of reimbursement issues and discover the strategies, tools and automated solutions healthcare providers can use to address them. Understanding reimbursement issues in healthcare Healthcare organizations often provide care without upfront payment and hope that healthcare payers will fulfill their obligations and settle their bills. This system impacts all healthcare stakeholders and influences the quality and timeliness of patient care. It also affects staff productivity, satisfaction, hospital operational efficiency, cash flow and bottom line. However, the reimbursement system is also fraught with long-standing challenges that complicate financial growth for healthcare organizations. Claim denials, changing reimbursement landscape and payer rules, prior authorization hurdles and staffing shortages complicate reimbursement issues in healthcare and cost hospitals billions of dollars in administrative complexities. Key challenges of healthcare reimbursement concepts Key challenges that fuel reimbursement issues and impact hospital cash flow include: High patient volumes and submission of inaccurate claims Complex payer policies, compliance issues and poor communication in payer-provider partnerships Increasing claims denials leading to nonpayment Staff shortages and lack of training Slow adoption of data, analytics and automation solutions Causes of reimbursement issues By identifying the causes of reimbursement issues that result in delays and nonpayments, healthcare organizations can develop effective strategies to tackle them. Here is a closer look at why reimbursement issues commonly occur: Rising claim denials Claim denials lead to delayed or lost reimbursements, which amount to millions of dollars in lost revenue for hospitals. The Journal of AHIMA reports that claim denials cost hospitals $5 million, annually. According to Experian Health's State of Claims report, 38% of healthcare providers experience claims being denied 10% of the time, or more. 67% of respondents also agreed that reimbursement times are increasing. A report from the American Hospital Association noted that Medicare Advantage plan payment denials increased by 56% for the average health system between January 2022 and June 2023. These denials led to a 28% decline in cash reserves—even as maintenance expenses rose by 90% and other operational costs increased by up to 35%. With increasing claim denials, rising operational costs and a drop in cash reserves, revenue cycle leaders are under pressure to address costly claim denials. Staffing shortages and lack of appropriate training Challenges with staffing shortages and inadequately trained staff to handle revenue cycle management processes can lead to reimbursement issues for healthcare organizations. New research, published daily, shows that healthcare organizations are grappling with staffing shortages and the associated consequences. Experian Health's recent survey, Short Staffed for the Long-Term, identified staffing shortages as being strongly linked with increasing claims denial and declining reimbursement rates in healthcare. In fact, nearly all survey respondents noted that staff shortages have affected their organization's revenue opportunities. According to 70% of the survey respondents, staff shortages are seriously impeding payer reimbursement, and 83% report that it has become increasingly challenging to follow up on late payments or provide assistance to patients facing financial difficulties. In another Experian Health survey, The State of Patient Access, 2023: The Digital Front Door, 87% of providers report that healthcare staffing shortages are worsening healthcare access. Additionally, inadequate and lack of up-to-date training in handling medical coding, eligibility verification, patient estimates and other necessary administrative processes for preparing and submitting clean claims and receiving reimbursement hamper the efficiency of existing staff. Complex prior authorization process When healthcare organizations fail to obtain prior authorization in cases where it is needed, they can inadvertently face healthcare reimbursement issues. Prior authorization is a cost-control mechanism used by payers to confirm the justification for costly healthcare services. When prior authorization is required, providers must receive approval from payers before their services can be eligible for reimbursement. Prior authorization is a heavy and time-consuming administrative burden. According to the 2023 AMA prior authorization survey, every healthcare physician completes 43 prior authorizations per week on average—a process that takes about 12 hours. Worse, more than a quarter of providers report that prior authorizations are often or always denied. The complex prior authorization process leads to treatment delays, abandonment and reimbursement hassles. Many denials occur after patients have already started receiving care, or or when required care is only partially covered, causing further challenges. Changing reimbursement policies and payer rules Healthcare providers unintentionally fall behind in staying updated on critical reimbursement policies. The reasons vary, but typically include shifts in the reimbursement landscape, inconsistencies in payer rules, unannounced rule changes and poor communication in payer-provider relationships. Complex and ever-evolving payer policies also result in substantial losses for hospitals. Hospital revenue and resources, staff productivity and satisfaction and patient experience all bear the brunt. Hospitals relying on manual processes instead of automated software solutions to manage reimbursement hurdles are often hit even harder. Strategies to resolve healthcare reimbursement issues Organizations working to achieve impactful reimbursements can adopt strategies for success, including: Adopt AI and automation to prevent claim denials In the State of Claims 2024 report, only 31% of providers reported using some form of automation and/or AI technology. Automated solutions provide a time-and-resource-efficient approach for healthcare organizations to streamline claims and revenue cycle management. For example, ClaimSource® is a single software solution used to automate the claims management process and improve reimbursement rates. This solution automates tasks crucial to claims approval and reimbursements, like eligibility verification and coding, making the process faster and error-free. Experian Health's AI Advantage™ is a prime example of an AI-powered solution that works seamlessly with automation solutions to provide organizations with the greatest potential for reimbursement. It offers a two-in-one avenue relevant before claims submission and after claims denial. Organizations can reduce denial rates with Predictive Denials and predict high-value denials that improve reimbursement rates with Denials Triage. Implementing AI and automation can help strengthen financial performance and increase reimbursement rates for healthcare organizations. When integrated with AI-powered solutions that provide prediction and accuracy, automation takes the claims management burden off the shoulders of overworked staff. Staff can then redirect their efforts towards activities that enhance patient experience, care quality and outcomes. Automate prior authorizations Prior authorizations can be time-consuming and expensive, especially with manual, error-prone systems. According to a paper published in the Journal of Perspectives in Health Information Management, 85% of providers consider the burden associated with prior authorization to be “high or extremely high.” Yet, many providers still rely on manual processes, which further complicate prior authorizations and create stumbling blocks to getting reimbursements. Instead, healthcare organizations can embrace automated solutions, like Experian Health's Prior Authorizations solution, to streamline this process. This solution automates the prior authorization inquiry and submission process and helps providers achieve prompt payments, ultimately ensuring predictable revenue cycles. By adopting automation, they save staff time and improve operational efficiency, which also improves care delivery and elevates the patient care experience. Equip staff with technology solutions Healthcare billing teams can also effectively tackle critical aspects that increase the potential of securing reimbursements using technology solutions designed to help boost productivity without increasing headcount. These include: Denial Workflow Manager to eliminate the need for manual review of claims status and remittance advice, resulting in reduced denials Enhanced Claim Status eliminates manual follow-up tasks and lets providers respond early and accurately to pended, returned-to-provider, denied, or zero-pay transactions before the Electronic Remittance Advice and Explanation of Benefits are processed Patient Payment Estimates to provide better price transparency so patients are empowered to make better decisions and healthcare providers get paid faster Overcoming reimbursement issues for better healthcare outcomes Reimbursement issues pose many challenges for today's healthcare organizations. They burden hospitals with excessive administrative work, cause delays in healthcare delivery and put the patient experience in the backseat. They also impact healthcare provider satisfaction and productivity and worsen hospital financial performance. Empowering staff with automated solutions enables them to swiftly and accurately manage the different fragments leading to reimbursement. This can result in improved healthcare outcomes and organizational profitability. Learn more about how Experian Health's Claims Management and Clearinghouse solutions (ranked #1 Best in KLAS 2024) can help organizations secure reimbursements that boost their bottom lines. Get reimbursed faster 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.