Tag: patient access curator
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
Medical excellence is a given when it comes to improving the patient experience, but what about the non-clinical side of care? Long waits, confusing processes and financial uncertainty can overshadow even the best medical treatment. As many as one in four patients delay care because of hidden administrative obstacles. As providers look to improve the patient experience in 2025, tackling these frustrations is top of mind. How easy is it for the patient to schedule their appointment? How quickly can they complete registration? Do they understand their insurance coverage, and do they have the right support to manage and pay their bills? Clear and straightforward patient access processes give patients support, convenience and control, and allow providers to focus on delivering care. This article looks at the challenges and opportunities that may affect patient access over the next year and highlights three ways to use digital tools to improve the patient experience. The patient experience in 2025: a rollercoaster of risks and opportunities Over the next year, patients' shifting needs and attitudes will change how they access care. Informed, tech-savvy patients armed with wearables and health-tracking apps want streamlined access and contact with their providers, and expect efficiency and personalization when they do seek care. At the same time, an aging population and increasing numbers of people with multiple chronic conditions drive demand for more complex and ongoing support. On the provider side, challenges like staffing shortages and remote work demands will continue to strain patient access teams. Payers' rapid adoption of artificial intelligence (AI) will continue to widen the denials gap. Rising costs will persist. Amidst this uncertainty, the forthcoming change of government may bring additional regulatory and legislative changes, so providers must be ready to adapt. Opening the digital front door is a way to elevate the patient experience to meet changing consumer expectations, while simplifying and streamlining processes so they can respond to whatever's in store. How can digital tools help improve the patient experience? Digital tools take the patient journey from a series of disjointed encounters to a coordinated and personalized experience. Building on innovations that gained momentum during COVID-19, like telehealth and virtual care, these tools keep patients and providers connected throughout the care process. By tailoring experiences to individual needs in real time, digital tools integrate into daily life and meet the rising demand for convenient, tech-driven options. Three ways to improve the patient experience Experian Health's latest State of Patient Access survey offers some pointers as to what providers should prioritize: 1. Expedite scheduling so patients can see their practitioner quickly Patients measure the patient experience by how quickly they can see their doctor. In the State of Patient Access survey, both those who think patient access has improved and those who think it has worsened give this as their reason. As patients' top priority, efficient scheduling is an obvious focus for providers who want to improve the patient experience. Online scheduling, mobile registration and self-service portals can simplify how patients book and check in for appointments. Patient Schedule lets patients book appointments anytime they like without needing to call. It only offers specific types of appointments with the right provider and makes it easy to cancel and reschedule, so no-shows are less likely. This also increases providers' capacity, giving patients more options so they can see their doctor sooner. Mobile registration complements digital scheduling by allowing patients to complete registration forms anytime, anywhere. Automated registration prefills information held on file to minimize paperwork, which is good news for the 85% of patients who do not want to fill out paperwork if they've already provided the information. Reducing manual errors also reduces delays so that patients can get on with their visit. 2. Help patients understand their insurance coverage and bills Patients and providers both cite financial challenges among their top priorities for improving patient access. More than eight in ten patients say pre-service price estimates help them prepare for the cost of care, while more than half say they need their provider's help to understand what their insurance covers. Providers should consider digital tools that support transparent pricing and billing to improve patients' financial experiences. Experian Health's Patient Payment Estimates generates accurate, upfront estimates of what a patient will owe, incorporating real-time pricing information, benefits and discounts. Estimates and secure payment links can be sent to patients via text or through the web-based app for a convenient and user-friendly payment experience. Additional tools can help patients find missing coverage and identify suitable payment plans, empowering patients and accelerating collections for providers. 3. Explore how automation and AI can support a better patient experience The growing use of AI will continue to reshape all aspects of care. By processing vast amounts of information at an unprecedented rate, AI presents exciting opportunities in patient access: keeping patients informed, generating performance insights and reducing the errors, delays and bottlenecks that come with manual processes. One of the highest-ranking challenges for providers in the State of Patient Access survey was the difficulty of managing multiple solutions to run patient eligibility and coverage checks. Patient Access Curator uses AI to address this with a single-click solution that captures all patient data at registration. It checks and verifies eligibility, Medicare Beneficiary Identifiers, coordination of benefits and demographics, delivering results in just 30 seconds. This prevents denials on the front end and takes the pain out of registration and scheduling for patients. Read the blog: How Patient Access Curator uses real-time, automated discovery to prevent denials and improve patient access Put patients in the driver's seat in 2025 As competition intensifies with new providers and disruptive technologies entering the market, patient satisfaction will no longer be optional — it will define success in 2025. Investing in digital patient access tools gives patients the autonomy, choice and convenience they crave as modern digital consumers. Simplifying and streamlining access will not only help meet and exceed patient expectations, but will help providers future-proof their operations and build a sustainable revenue cycle for the years ahead. Find out more about how Experian Health's patient engagement solutions will help providers improve the patient experience in 2025. Patient Engagement solutions Contact us
According to Experian Health's State of Claims 2024 survey, missing coverage is the top reason for healthcare claim denials for almost a fifth of providers. However, the issue isn't just about whether a patient is insured — four in ten providers worry about insurance companies paying out even where patients have active coverage. Constantly changing payer policies can result in altered or expired benefits, leaving providers scrambling to secure alternative sources of payment. That's why many providers are turning to automated health insurance discovery to find missing coverage and catch outdated policies early. This article looks at how coverage discovery software helps healthcare organizations address some of the most stubborn pain points in the revenue cycle. What is health insurance discovery? When a patient comes in for care, one of the first jobs is to figure out exactly what insurance they have — if any — and what it covers. Health insurance discovery is the process of checking whether the patient has active insurance and confirming details of that coverage, such as payer name and plan type, to ensure the cost of care is billed to the correct payer. If a patient has multiple active plans, the provider must also determine how much should be billed to each payer and in what order. How does it work? Ideally, coverage discovery occurs pre-service, but it can occur later if a claim is denied, and alternative coverage sources must be found. The main steps in the process include: Collecting insurance details when patients schedule or check in Checking with insurance companies to confirm that coverage is active and will cover planned services Cross-checking payer databases to ensure no coverage is missed Considering a patient's eligibility for Medicaid or other charity support Coordinating benefits for accurate billing Benefits of automated health insurance discovery for providers While respondents to the State of Claims survey are reasonably confident about their coverage discovery processes, the actual outcomes are less robust. Eligibility checks are taking longer and errors are on the rise. Only 54% of providers believe their claims technology can meet current revenue cycle demands. Automation offers a reliable and adaptable solution to bridge the gap between front-end checks and back-end claims management. Here are a few ways automated health insurance discovery sets the stage for smoother claims submissions and revenue cycle performance: 1. Maximize reimbursement by finding missing coverage quickly Challenge: Patients don't always provide complete insurance information, which can cause providers to miss out on opportunities for reimbursement. How automation helps: Automated health insurance discovery digs deeper than manual processes to find any coverage that may have been missed or forgotten. Experian Health's Coverage Discovery® solution combs through multiple proprietary databases, including employer information, historical search information, registration history and demographic validation to proactively identify billable Medicare, Medicaid, and commercial coverage. With minimal patient details, it finds additional sources of primary, secondary and tertiary insurance instantly. In 2023, Coverage Discovery tracked down previously unknown billable coverage in a third of patient accounts, resulting in more than $25 million in found coverage. 2. Reduce the manual workload Challenge: Staff spend too much time calling payers, logging into portals and manually entering patient data. This is time-consuming and error-prone, especially when one in four resubmissions are worked on by a different person than the one who originally processed it. How automation helps: Automation eases the admin burden by handling repetitive aspects of insurance verification behind the scenes, freeing staff to focus on more complex tasks. Coverage Discovery saves staff time by continuing to check for health insurance throughout the patient journey, and not just at registration. This final post-service check is vital to detect discrepancies that could lead to denied claims. Staff can also automate the self-pay scrubbing process to further reduce the risk of errors. As providers continue to feel the squeeze from staffing shortages and rising operating expenses, any move to reduce costs while bringing in more revenue is to be welcomed. 3. Prevent eligibility issues Challenge: Providers often only discover that active benefits have changed after the claim has been submitted. That's too late. For 43% of providers, it takes at least 10 more minutes to check eligibility when initial checks are incomplete. How automation helps: With automation, providers can run real-time eligibility checks, ensuring that changes to the patient's benefits are caught early so claims aren't denied due to outdated information. Experian Health's new Patient Access Curator uses artificial intelligence-based data capture technology to return accurate information from multiple sources with a single click. It automatically interrogates data from more than 270 payer responses, including active and billable coverage, plan level detail, chaining and primacy, so providers can verify eligibility and more in an instant. 4. Reduce claim denials and rejections Challenge: Incorrect or incomplete insurance information results in errors on claims forms or claims sent to the wrong payer, which causes denials, delays and rework. How automation helps: Automated discovery ensures that the correct payer and coverage information is attached to claims, reducing the likelihood of denial. This solves one of the most frustrating parts of coverage discovery, making the process faster, more accurate and less reliant on manual effort. Read more: How to leverage AI and automation to minimize healthcare claim denials 5. Improves the patient experience Challenge: Patients are often confused about their coverage status and worried about whether their healthcare costs will be met by their insurance provider. Medicare beneficiaries, in particular, report difficulty understanding and comparing plan options, leading to potential gaps in coverage. When healthcare providers fail to catch errors or gaps in their information, this erodes trust and negatively impacts how they feel about their experience. How automation helps: By correctly identifying coverage and verifying benefits eligibility, automation allows providers to give their patients early certainty about how their healthcare costs will be covered. Patients are less likely to receive unexpected or incorrect bills, which prevents delays and disputes. Automated tools can go a step further to improve the patient experience by guiding patients toward additional support and payment plans. For example, Patient Financial Clearance identifies patients who may be eligible for Medicaid or charity assistance, and identifies appropriate payment plans for anyone with an unmanageable self-pay balance. Case studies: See health insurance discovery in practice How Providence Health found $30M in coverage and reduced denial rates with automated eligibility checks How UCHealth secured $62M+ in insurance payments and saved $3.5M+ in 2022 with Coverage Discovery How Luminis Health used Coverage Discovery to find $240K in billable coverage each month Learn more about how automated health insurance discovery helps providers reduce claim denials, improve cash flow and deliver better patient experiences. 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
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
According to Experian Health's State of Patient Access Survey 2024, eight in ten healthcare providers plan to invest in patient access improvements soon. As they weigh up the pros and cons of different solutions, many will focus on two key areas: making scheduling and registration easier for patients, and streamlining financial processes to boost their profitability. This blog post examines how automated patient access solutions can help providers meet patient expectations and operational demands. Survey snapshot: what do patients want? Experian Health's annual State of Patient Access surveys are useful pulse checks on patient perceptions. What do patients find challenging about accessing care? Where are they bumping up against unnecessary friction? The 2024 survey offers a promising outlook: 28% of patients report improvements in access in the last year, up from just 17% in 2023. Still, there is room for improvement: patients' biggest challenge – seeing a practitioner quickly – has topped the list for the last four years. Other significant challenges include understanding the cost of care and scheduling appointments. One key takeaway from the survey is the role of digital technology. Both patients and providers find complex, repetitive and inefficient processes to be the most problematic aspects of patient access – ideal targets for digital tools. Indeed, patients specifically express a desire for online health management tools, while more than half of providers attribute improvements in patient access to automated processes. There's a solid business case for investing in digital patient access solutions to ensure that patients see their doctors quickly and providers get paid without delay. Patient access solutions can open the digital front door with online scheduling and registration The first area where providers may consider investing in digital tools is in the patient's first interactions with their facility. When patients can schedule appointments quickly and complete registration without boring and repetitive paperwork, they're more likely to report a positive patient experience. Survey data backs this up: 89% of patients say the ability to schedule appointments any time, via online or mobile tools, is important to them 89% of patients say digital or paperless pre-registration is important to them. Online self-scheduling gives patients 24/7 access to book, cancel, and reschedule appointments from any device. Based on scheduling rules, they're shown the earliest suitable appointment, which means they'll see their doctor as soon as possible. Patients can be sent automated reminders of upcoming appointments and health checks, which means show rates and health outcomes will be better. It also drastically reduces call volumes so staff can focus on other priorities. Similarly, digital registration lets patients avoid the most dreaded part of patient intake: filling out lengthy forms in the waiting room. Automated registration also ensures that patients (specifically their data) are correctly entered into the system, preventing downstream delays. With text-to-mobile registration, patients are sent a text message prompting them to scan their identity and insurance cards, which are then uploaded and validated against existing records. Securing correct information from the start lays the groundwork for the patient's healthcare experience and the provider's revenue cycle. Interestingly, despite patient demand, self-scheduling and registration did not make the cut for providers' top three priorities. This suggests an untapped opportunity for providers that choose to invest here. Patient access solutions can streamline insurance, eligibility and estimates A second opportunity lies in automating the patient access processes involved in revenue generation and claims submission. The revenue cycle is full of hidden costs for both patients and providers, often resulting from intake inefficiencies. Patients end up with bills that are higher than expected, while providers fall foul of changing payer requirements around prior authorizations and insurance eligibility verification, resulting in lost revenue. Improving upfront pricing estimates and clarifying insurance coverage ranked among the most urgent priorities for both groups in the survey. A few patient access solutions that can help here include: Patient estimates: When patients know in advance how much their care will cost, they can plan better. Web-based and mobile-enabled price transparency tools generate accurate estimates based on chargemaster data, claims history, patient insurance details and payer contract terms, and even account for payment plans and prompt-pay discounts. This improves the patient experience and increases collection rates while easing the burden on staff. Insurance eligibility verification: Manual processes for verifying active coverage are time-consuming and error-prone, causing staff burnout and patient confusion. Automating insurance verification checks at the time of service gives everyone greater certainty and prevents payment delays and claim denials. Personalized payment plans: By using their own data, along with third-party datasets, providers can leverage automation to offer alternative payment plans to patients who cannot pay the full amount right away. For example, PatientSimple® assesses each patient's propensity to pay and recommends the optimal financial plan that works for the patient's unique circumstances. Patients can check estimates and compare pricing plans on the self-service portal, giving them more control over their bills. These options promote financial sustainability by quickly identifying how much should be paid by which party and establishing processes to collect those amounts with minimal fuss. With ongoing staffing shortages, these time-saving tools are crucial for workforce resilience. Integrate patient access solutions with Patient Access Curator While providers may prioritize one of the above areas, the two are complementary: efficient scheduling and registration lead to better patient flow and accurate data collection, accelerating insurance and eligibility verification. This is more likely with an integrated “tech stack” across the whole patient access workflow. However, integration is a challenge for many providers. Nearly a quarter report that their biggest challenge in patient access is wrangling the multitude of tools needed to run pre-registration checks and gather the information necessary for claim submissions. Experian Health's newest patient access solution addresses this challenge by bringing together multiple insurance-related queries together into a single inquiry. With one click, Patient Access Curator automatically captures all relevant patient insurance data in less than 30 seconds. This includes: Eligibility verification, including billable secondary and tertiary coverage, chaining and primacy Coordination of Benefits, analyzing payer responses in real-time using AI to ensure no active insurance is missed Medicare Beneficiary Identifiers, using AI, automation and analytics to check and correct patient identifiers Patient demographics, using in-memory analytics and proprietary algorithms to ensure contact details are current Insurance discovery, for records marked as self-pay or unbillable, PAC automates additional coverage searches With over $1 billion saved in prevented denials by clients using Patient Access Curator, it's clear that investing in digital technology is a cost-effective way to address current challenges in patient access. By increasing capacity and reducing errors and delays, these tools not only enhance financial performance, but give providers a head start when it comes to delivering an outstanding patient experience. Learn more about how Experian Health's patient access solutions accelerate access to care and streamline revenue generation from the start. Learn more Contact us
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.
As revenue cycle leaders continue to navigate an increasingly complex financial landscape, preventing healthcare claim denials remains the number one priority. Experian Health's State of Claims 2022 report found that 30% of respondents see claims denied 10-15% of the time, while 42% were seeing the rate of denials increase year over year. Denials in healthcare, which can be easily avoided, contribute significantly to the waste of healthcare funds. These denials cause providers to lose hundreds of billions of dollars in profits annually. This blog looks at the key questions providers should ask to get to the bottom of why healthcare claims get denied, how to prevent healthcare claim denials and ways technology can support better denial management. Why do healthcare claims get denied? The State of Claims 2022 survey revealed that the most common causes of denied claims boil down to three issues: 1. Missing or incomplete prior authorizations Health insurers use prior authorizations to determine whether a patient's treatment is medically necessary and how much they can cover. Despite being introduced to encourage delivering high-quality, cost-effective care, the authorization process has become an intimidating administrative burden for healthcare providers. Even now, many healthcare providers rely on manual paperwork to execute an already complex and tedious authorization process. This outdated approach to authorization not only consumes time and money but also creates opportunities for missing or incomplete prior authorizations, increasing claims denial rates. Unsurprisingly, 48% identified missing or incomplete prior authorizations as one of the top three reasons for denials. 2. Failure to verify provider eligibility To be eligible for reimbursement, a provider must be a participant in the proposed Medicare or Medicaid program or other private health insurance plan. Eligibility verification involves confirming a patient's insurance information and that the planned services and provider are under their plan, which is critical for successful claims approval. Failure to verify provider eligibility may lead to claims denial if an out-of-network provider provides the services. Likewise, 42% of respondents said failure to verify provider eligibility was a common reason for denials. 3. Inaccurate medical coding Accuracy is the backbone of medical coding, another administrative task indispensable to claims approval. The slightest mistake when translating patients' diagnostic and treatment information into clinical codes can result in rejected claims. Unfortunately, providers are susceptible to coding errors due to the ever-changing coding rules, especially when they do it manually or work with unreliable automation solutions. They may work with outdated or incorrect codes, leading to claims denials. The State of Claims 2022 survey revealed similar shortcomings, with 42% of respondents stating that inaccurate medical coding led to denial. Other reasons for denied claims include: Incorrect modifiers Failure to meet submission deadlines Patient information inaccuracy Missing or inaccurate claim data Not enough staff to keep up Formulary changes Changing policies Procedure changes Improperly bundled services Service not covered 6 in 10 respondents said insufficient data and analytics made identifying and resolving issues with claims submissions difficult. A similar number said a lack of automation was hindering operational improvements. The good news is that these obstacles can all be effectively addressed with the right denial management strategy and digital tools. How do claim denials affect revenue cycles? Denials can be justified as necessary to prioritize spending on high-value care, but they have heavy consequences for hospitals' financial health. As highlighted in the Journal of Managed Care & Specialty Pharmacy, the weight of denied claims adds up to about $260 billion each year. This financial burden is pushed on hospitals, who may need to classify denied claims as debt, which, among other consequences of claims denial, ultimately disrupts their revenue cycles. The ripple effect of denied and underpaid claims on hospital revenue cycles also manifests in how delayed and non-payments restrict cash flow, hampering the provider's ability to operate efficiently and deliver care effectively. Significant staff time is lost to avoidable administrative activities and rework, as claims need to be corrected and resubmitted. This creates a bottleneck in the revenue cycle, which can lead to decreased revenue and additional costs. Extra work is particularly challenging for staff already under pressure due to ongoing labor shortages. For patients, denials can cause stress and confusion around how the cost of care will be met. How can providers reduce or prevent healthcare claim denials? Since most denials result from inaccuracies that originate early in the patient journey, the solution calls for better data management in patient access and robust checks just before claims are submitted. Reducing claims errors will contribute to better claim submission and higher reimbursement rates. Here's a step-by-step guide to improving healthcare claims processing: Utilize prior authorization software to automate the prior authorization process. This software-driven solution automates inquiries and submissions using updated and stored payer data, making the prior authorization process seamless and time-efficient and resulting in higher claim approval rates. Upgrade claims technology with tools such as ClaimSource®, which helps providers manage the entire claims cycle from one platform. By automating claims processing, ClaimSource helps ensure claims are clean before being submitted. The tool creates custom work queues so staff can prioritize high-value tasks and get paid faster. Improve the claims management process and prevent healthcare claim denials with AI Advantage™ — Predictive Denials and AI Advantage™ — Denial Triage. Predictive Denials flags claims that are more likely to be denied before they are submitted to the payer and tracks payer rule changes, reducing denial rates. Denial Triage prioritizes and segments denials most likely to be reimbursed, leading to increased revenue. Automate line-by-line claim reviews with Claim Scrubber to eliminate errors or omissions in claims before they are submitted. Claim Scrubber makes claims management operations more efficient, resulting in less rework, administrative costs, and delays. It can also be paired with Contract Manager, so providers can audit claims before and after remittance. Use an early-and-often approach to monitoring claim status and expedite reimbursement. Enhanced Claim Status eliminates manual follow-up and helps providers react quickly to any pending, returned-to-provider, denied, or zero-pay transactions, further improving cash flow. Experian Health's ClaimSource and Contract Manager solutions were both ranked number one in their respective categories in the 2024 Best in KLAS awards What is the best way to track and manage claim denials? Most providers rely on manual and automated processes to manage claims and denials. Shifting from manual to digital can save time, reduce errors, and increase overall efficiency. However, providers may be wary of implementing new systems due to concerns about costs, data interoperability, and the staff learning curve. For this reason, it's essential to select a denials management solution that fits the provider's unique specifications. Denials Workflow Manager eliminates manual processes and allows providers to optimize the claims process according to the metrics that matter to them. It generates work lists based on the client's specifications, such as denial category and dollar amount, and incorporates extensive data analysis capabilities to identify the root causes of denials and improve upstream processes to prevent them. It can be easily implemented as a standalone product or integrated with ClaimSource to give users access to the entire claims and denial management cycle on a single screen. Staff training on claims management The State of Claims 2022 report revealed that 46% of respondents admitted that lack of staff training was an operational challenge contributing to claims denial. Training healthcare staff in managing and preventing claim denials is one of the most worthy investments to reduce the rate of claim denials. Hospitals can provide healthcare staff with adequate ongoing training on the granular details of claims processes before and after submission and access to automated claims management solutions. Healthcare staff should also be kept up-to-date on the latest tools and strategies on denial prevention and payer rules for claims submissions to ensure payment receipt after claim submission. Engaging patients in the claims process Though patients are usually not responsible for submitting claims to payers, they are an equal third party in the claims process and can be empowered to actively participate in every stage, from submission to approval and paying copays or deductibles. Effective patient engagement can be achieved by providing patients with an accessible, all-inclusive platform to register, review, and update information related to their care and benefit plan and communicate with healthcare staff as needed. Collaborating with payers to reduce denials The quality of collaboration between payers and providers affects the seamlessness and efficiency of the claims process. Therefore, it is crucial for providers to collaborate effectively with payers, especially given the constant changes in payer policies, to ensure that they stay up-to-date with and comply with the payer claims submission requirements. In cases of claim denials, they can also manage them effectively. By working together, payers and providers can also quickly resolve denial issues, ultimately improving system efficiency. Adopting automation and AI to prevent healthcare claim denials As one of the most complex institutions today, the healthcare industry has always grappled with a critical shortage of healthcare workers, staff burnout, and wasteful medical care spending, which costs $600 billion annually in the US. Despite the potential benefits of automation and artificial intelligence (AI) to ease these burdens and save about $200 billion to $360 billion annually in healthcare spending, their adoption has been lagging and met with resistance. However, more and more healthcare stakeholders are realizing that these technologies are a principal partner in making the healthcare system more efficient, simplifying and streamlining deeply complex processes, such as claims processing. For example, Experian Health's Patient Access Curator, an AI—and robotic process automation (RPA)-driven solution that enables eligibility and coverage verification and more accurate and submission-ready claims. By performing these tasks in seconds, all in one click, Patient Access Curator has helped clients save over $1 billion in denied claims since 2020, significantly boosting their bottom lines. Another example of efficient claims technology is ClaimSource. This all-in-one claim cycle management platform, powered by automation, transmitted $632 million in claims within five days and processed $1.1 billion of claims backlog for IU Health. AI Advantage™, Experian Health's revolutionary claims management solution that offers a two-pronged approach to preventing and managing denials: AI Advantage – Predictive Denials identifies claims that are at risk of being denied, so corrections can be made before claims are sent to payers. AI Advantage – Denial Triage comes into play post-submission, reviewing patterns in denials to prioritize those with the greatest likelihood of reimbursement. Given the volume, complexity and financial impact of the current claims workload, automation and AI are critical elements in the denials management toolkit. In the State of Claims survey, more than half of respondents said they were using automated claims processing, with many using automation to keep track of payer policy changes, automate patient portal claims reviews and digitize patient registration. Despite much media furor, AI is still the domain of early adopters: only 11% of respondents said they were using AI. But while automation can effectively eliminate unnecessary manual tasks, AI is a force multiplier for denials management, offering additional predictive capabilities and “learning” from historical data to prevent denials. Client feedback to date suggests that incorporating AI-powered denial management solutions could be a game-changer for providers looking to streamline operations, prevent lost revenue and free up capacity to focus on their primary mission of delivering quality patient care. Technology solutions for managing and preventing claim denials Efficiently managing the claims process and preventing or resolving claims denial requires robust and reliable technology solutions at every stage, especially in the complex and constantly changing world of claims management, where everything hinges on accuracy. These technology solutions can be responsible for heavy lifting many administrative tasks involved in the claims processes, from accurate data capturing during patient registration and prior authorization to submission to monitoring claim status and addressing claims submission outcomes. Hospitals can adopt claims technology, such as Experian Health's Patient Access Curator, for verifying insurance eligibility and coverage with real-time patient data correction or ClaimSource®, a single platform for monitoring and managing the claims cycle in one place. Find out more about how Experian Health helps healthcare providers prevent healthcare claim denials with automation and AI.