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

Finding missing health insurance is critical to keeping revenue cycles on track. Insurance eligibility verification is an important process providers use to confirm active coverage, including additional coverage a patient may have forgotten. According to Experian Health's State of Claims 2024 survey, almost a fifth of providers say missing coverage is a top reason for claim denials. It helps providers determine what insurance a patient has and what's covered and plays a key role in billing. When a patient has more than one type of active coverage, providers use insurance eligibility verification checks to determine how much should be billed to the correct payer and in what order. However, searching for missing coverage is often time-consuming and error-prone thanks to manual systems, disjointed databases and ever-changing payer regulations. When mistakes are made in the early stages of patient intake, it affects every step of the patient journey and revenue cycle. The struggles to confirm patient coverage are likely to worsen as patient volumes increase, medical needs get more complex and staffing shortages continue. Despite these mounting obstacles, insurance eligibility verification checks remain a critical first step to reducing claims denials, improving patient outcomes and minimizing lost revenue. This article explores why insurance eligibility verification checks matter and how providers can adopt new strategies and digital tools to find missing health insurance and prevent revenue from slipping through the cracks. The hidden costs of missing health insurance Today, more Americans are struggling to afford their medical bills — even with insurance. A KFF study reports that 48% of U.S. adults find affording healthcare difficult, while 25% say they or someone in their household had issues covering medical costs in the past twelve months. About half of those surveyed say paying an unexpected $500 medical bill would put them into debt. Insured patients aren't immune from the burden of high healthcare costs, though. Thanks to rising deductibles, co-pays and premiums, patients are taking on more financial responsibility, and 74% are worried about covering out-of-pocket costs. Nearly half of U.S. adults expressed concerns about affording their monthly insurance premiums. When medical bills go unpaid, provider revenue can take a serious hit. Uncompensated care is a huge financial burden for providers. The American Hospital Association reports that hospitals have provided almost $745 billion in uncompensated care since 2000. Patients often have additional insurance coverage that could help close the gaps, but they've either forgotten about it or are unaware of their eligibility. Finding missing coverage is a top priority for providers who want to ensure revenue streams stay in check — especially as healthcare costs continue to rise. Benefits of resolving missing health insurance issues Resolving missing health insurance issues has many benefits for both providers and patients, beyond verifying that services are covered and medical bills are paid. These include: Reduces claim denials: Claims denials are on the rise, and missing coverage is a top reason, according to Experian Health data. Incorrect or incomplete information can result in errors on claim forms or providers sending claims to the wrong payer. Finding missing coverage before claims submission reduces errors, denials, delays and rework. Minimizes wasted staff time: An eligibility recheck is needed when providers discover an incomplete claim, due to a change in active benefits after claims submission. With 43% of providers reporting that eligibility rechecks add at least 10 additional minutes per claim, finding missing coverage in advance is critical to freeing up valuable staff time. Improves the patient experience: Patients are often confused about what insurance covers and what they'll be on the hook for out-of-pocket. More than eight in ten patients say pre-service price estimates help them prepare for the cost of care. When providers are able to find missing coverage during insurance discovery, patients are more likely to receive accurate upfront estimates. Complete and transparent pricing allows patients to prepare for the cost and avoid any surprises, while accelerating collections for providers. Tools and strategies to find missing health insurance Insurance eligibility checks help providers verify insurance status, coverage details and benefits in advance. However, performing insurance checks isn't always straightforward, and often requires searching for missing coverage. Patients sometimes forget to let providers know about secondary coverage or insurance changes. Or, coverage can be forgotten because a patient has moved to a new house, changed states, switched employers or signed up for a different policy. In some cases, patients may be misclassified as self-pay or have only one form of insurance. Providers can improve their insurance eligibility verification process and discover missing health insurance at every stage of the revenue cycle with the following strategies: Implement digital insurance discovery solutions Outdated manual systems are often error-prone and make finding missing coverage a labor-intensive task for already overburdened staff. Automated eligibility verification solutions offer a more streamlined approach to finding missing coverage faster with more accurate results. Tools like Experian Health's Coverage Discovery work across the entire revenue cycle and search government and commercial payers to find previously unknown insurance coverage. Using multiple proprietary data sources, advanced search heuristics and machine learning, it reliably identifies accounts that may be submitted for immediate payment under primary, secondary or tertiary coverage. Watch the video to see how Coverage Discovery helps healthcare providers find previously unidentified coverage – while saving time and money. Streamline patient intake and updates Matching patient information to payer databases starts at registration. However, patient information, including insurance coverage details, can change anytime. Patients may switch insurers, move states or change their contact information. Catching errors before a claim is submitted is key to keeping the revenue cycle moving and collections. Providers often can't keep up with changes or may struggle with tool overload, with nearly 60% of providers reporting using at least two different tools to gather the necessary patient information for claim submission. Digital tools, like Experian Health's Patient Access Curator, can help solve for bad data quality with real-time correction. This solution uses artificial intelligence (AI) and performs eligibility, COB, Medicare Beneficiary Identifier (MBI), demographics and discovery in a single solution, to ensure that all data is correct on the front end. Patient Access Curator also interrogates 271 responses to indicate any secondary or tertiary coverage data. Other tools, like Registration Accelerator, puts the patient in control of inputting and updating information. Using an automated link, patients can enter their personal details and insurance information from their mobile phone or the web-based app, with no login required. Providers can prompt patients to complete registration details during the initial intake process and send reminders to update information that may have changed, like an address or insurance policy, when follow-up appointments are scheduled. Provide accurate upfront estimates The lack of accurate care estimates is an ongoing challenge for both providers and patients. According to Experian Health data, four in 10 patients report spending more on healthcare than they could afford. When providers don't have access to the most up-to-date patient insurance information, or coverage is missing, estimates are often incorrect and patients end up with surprise bills. Inaccurate estimates create a negative patient experience, resulting in unpaid bills and extra work for staff to resubmit claims or chase down collections. However, tools like Eligibility Verification can help providers easily confirm coverage, co-pays and deductibles at the time of service. When armed with real-time coverage data, providers can build more accurate estimates and help patients prepare for the cost of care. How technology makes finding missing health insurance easier 43% of Experian Health's State of Claims survey respondents say that eligibility checks take 10 to more than 20 minutes to complete. Eligibility checks are taking longer, are filled with more errors, and only 54% of providers feel their claims technology can handle current revenue cycle demands. Using technology at every step of the revenue cycle helps providers bridge the gap between front-end eligibility checks and back-end claims management. Digital tools, like Coverage Discovery, fit anywhere into the revenue cycle, allowing providers to easily check for health insurance through the patient journey, not just at registration. Emerging AI and automation tools also help providers find missing health insurance faster. Automated eligibility verification solutions, like Experian Health's Eligibility Verification, seamlessly check insurance benefits across 900 payers using advanced patient matching tools. Patient Access Curator uses AI-based data capture technology to return real-time data in a single click from hundreds of payer responses, allowing providers to quickly verify active coverage, billing information, plan level details, and more. Case studies: See health insurance discovery in practice 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 How Providence Health found $30M in coverage and reduced denial rates with automated eligibility checks Learn more about how automated health insurance discovery helps providers find missing health insurance, reduce claim denials, improve cash flow and deliver better patient experiences. 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

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

Patient engagement still has a long way to go, and hinges on patient access. According to the 2024 Experian State of Patient Access survey, just 28% of patients feel access has improved since the previous years. However, more than half (51%) feel it has remained static. Today's patients are tech-savvy and have access to more health information than ever before. They want to be more active in their care, from scheduling appointments to messaging providers directly with their questions and concerns. Experian Health data also reports that 60% of patients are looking for more digital and mobile options to better engage with providers. Around the same percentage say they'd consider switching providers in order to get the access they crave. In 2025, healthcare organizations must empower patients with the control they want and an overall positive patient experience. Providers that successfully give patients a voice and opportunities to play an active role in their care are more likely to retain patients, see better health outcomes and keep revenue cycles in check. Here's a closer look at how providers can increase patient engagement, why it matters and key strategies that deliver improved end-to-end patient experiences. What is patient engagement? Patient engagement is a proven strategy healthcare providers have relied on for decades to improve patient care, boost outcomes, increase retention and keep revenue cycles churning. This patient-centric care approach encourages patients to take an active role in all aspects of their treatment – from decision-making to self-management. When successfully implemented, patient engagement gives patients autonomy over their personal wellness journey and forms a trusted and often lasting partnership between patients and providers. Why is patient engagement critical for healthcare providers? Engaged patients are informed patients who stay on top of their overall health and wellness. They're also more likely to identify symptoms sooner, attend appointments, follow aftercare instructions and have better health outcomes. When patients are actively involved in their care, they have a more positive patient experience, which increases patient satisfaction, preventative care, retention and repeat visits. The healthcare landscape continues to evolve rapidly. Today's patients have more choices and access to care than ever before. Thanks to an onslaught of emerging digital providers and big-name retailers now offering healthcare services, patients can see a provider without leaving their homes, or pop in for a care visit while shopping for groceries. Patients want to see their doctor quickly and crave the convenience of user-friendly digital tools to book appointments, complete intake paperwork and keep tabs on their care. To meet growing patient needs and keep pace with industry shifts, healthcare providers must adopt the latest strategies and technologies and increase patient engagement, or risk losing patients (and revenue) to providers that deliver more tech-savvy and personalized experiences. Challenges in patient engagement Improved patient engagement is a top priority for both patients and healthcare organizations. However, the industry faces several key hurdles to elevating the patient experience. Lack of patient access The patient-provider relationship starts with prompt access to an appointment. Patients prioritize being able to see their providers quickly and often measure their entire patient experience on the ability to get on the schedule. Experian Health's State of Patient Access survey data shows that opinions on appointment access hinge on wait times. In fact, both patients who think patient access has improved and those who think access has worsened cite wait times as their reason. However, patients don't just want to be seen sooner; they want more self-service options to be in control of their appointments. Nine out of ten patients want to schedule appointments online or with a mobile device—anytime, anywhere. Nearly 90% of today's patients prefer to avoid tedious intake paperwork and would welcome a digital or paperless pre-registration experience. Outdated systems and technology Healthcare providers have been increasingly adopting new technology solutions, like online patient portals and telehealth, since COVID-19 kicked off major industry changes. However, the healthcare ecosystem is still heavily weighed down by complicated, outdated systems. For instance, nearly 60% of providers still use at least two different tools to gather the necessary patient information for claim submission. These manual (and often disjointed) processes can frustrate patients, burden staff, and affect all stages of the patient health journey and revenue cycle. Patients want easier access. Experian Health data reports that 60% of patients say they want more digital tools to manage their healthcare. Providers that want to improve the patient experience and stay relevant with patients must consider investing in user-friendly technology that meets the demands of today's tech-savvy patients. Staffing shortages expected to continue Unfortunately, one of the biggest challenges in the healthcare industry isn't showing signs of letting up any time soon. The American Hospital Association (AMA) reports that by 2028, the healthcare industry will experience a shortage of approximately 100,000 critical workers. With these expected shortages, already strained staff may struggle to keep up with administrative tasks that directly affect patient care. Without a solution to streamline tedious admin work, bottlenecks are likely to continue across scheduling, registration, insurance eligibility checks, claims processing, collections and follow-up communications. Strategies to increase patient engagement in healthcare The pandemic brought many advances to the healthcare industry, including virtual care and telehealth. However, today's patients want even more access. Digital tools that offer a seamless patient engagement experience, like patient portals, mobile registration and online scheduling, can help providers keep patients engaged and improve satisfaction. Healthcare organizations can benefit by adopting some of the following strategies to increase patient engagement and, ultimately, patient outcomes and revenue.  1. Implement patient self-service options Embracing user-friendly technology that opens the digital front door is critical to elevating the patient experience at every stage of the health journey. With the right technology solutions in place, healthcare providers can meet patients' growing demand for digital tools and improved access while easing administrative burdens on staff. It's no wonder nearly 80% of providers report planning to invest in patient access improvements soon. Automated patient intake solutions that kick off the registration process, like Experian Health's Registration Accelerator, engage patients early, right from their mobile devices. Patients have the flexibility to complete intake paperwork on their own time, while providers can verify patient details quickly, without tedious manual processes. 2. Streamline patient and provider communication Communication is a key part of creating a positive patient experience. It starts with the first impression a provider makes during the initial contact – well before the patient even steps foot in the door. Online appointment booking options offer patients the 24/7 self-service scheduling they crave. Tools like Experian Health's patient scheduling software guides patients to the appropriate provider and appointment while keeping the provider in control of their calendar. Patients receive text reminders and can cancel or change their appointments as needed. Other self-service options, like online patient portals, make it easy for patients to have visibility into their care and communicate with providers directly. Patient outreach solutions can also close the gap between patient and provider communications, by enabling patients to conveniently self-schedule via SMS or IVR campaigns. Providers can also engage patients with automated, timely messages and meet patients where they are. On-demand webinar: See how IU Health increased one-call resolutions with Patient Schedule 3. Create personalized financial plans for patients With healthcare expenses on the rise, patients want to know how much care will cost before they receive treatment. More than 80% of patients say pre-service estimates help them prepare for medical expenses; however, more than half report needing their provider's help to understand what insurance covers. Providers can improve the patient experience by offering accurate, upfront estimates and clear paths for patients to meet financial responsibilities. Tools like Experian Health's Patient Payment Estimates generate estimates of what a patient will owe, incorporating real-time pricing information, benefits and discounts. Providers can further streamline the patient's financial experience by implementing tools that help patients check if they qualify for financial assistance, receive payment plans and securely pay bills. Patients can be further empowered when providers offer a way to quickly pay bills from a secure link over text or a web-based app. Read more: How to maximize patient collections with digital technology Improve patient engagement with technology Technology continues to transform all aspects of healthcare and patient engagement. From creating customized treatment plans to improving patient outcomes, these new technology innovations are rapidly changing the face of healthcare. Tools like artificial intelligence (AI) and automation now play a critical role in helping providers streamline all aspects of revenue cycle management, including insurance eligibility checks, claims processing and collections. When providers invest in a wide range of patient engagement solutions, they can deliver a strong patient experience, improve patient engagement, reduce administrative burdens on staff and improve the bottom line. Find out more about how Experian Health's patient engagement solutions help healthcare organizations improve the patient experience at every stage of the patient journey. Patient Engagement solutions Contact us

Collecting payments from patients has always been tough. Confusing bills, missed reminders and affordability concerns often lead to delays. Billing teams get bogged down in follow-up calls and paperwork, leaving little time for complex cases and a big question mark over whether they're using their time efficiently. As patients shoulder a greater share of their healthcare costs, there's increased pressure to make billing more accessible, transparent and manageable. Could automation be the answer? This article looks at how automation can simplify patient collections for everyone. With faster reminders, more accurate estimates, tailored payment plans and efficient collections management, providers can improve the patient experience and increase collections simultaneously. The importance of automation in patient collections One of the biggest frustrations for billing staff is seeing patients struggle to pay their bills. Medical costs can be daunting, and as patients are confronted with rising prices at the gas pumps and grocery stores, they may feel forced to delay healthcare payments or forego care altogether. Complicated bills with unclear charges and terminology only compound the problem: Experian Health's 2024 State of Patient Access (SOPA) survey found that 69% of providers see patients postpone services when they don't understand the financial impact. Many patients are able to pay their bills, but need clearer and more flexible payment options. In their attempts to support patients, billing teams spend a lot of time managing routine tasks like sending reminders, setting up payment plans and fielding questions about bills and unresolved insurance issues. What if these tasks could be handled automatically? There are opportunities to take advantage of automation, advanced data analytics and artificial intelligence in just about every corner of the collections process. Providers integrating automation in patient collections find it easier to help patients keep up with payments and maintain a steady cash flow — without draining staff resources. The benefits of automation for patient collections Here is a run-down of a few key automation benefits for patient collections: 1. Clearer billing, which boosts better cash flow In the SOPA survey, 88% of providers recognized that upfront price estimates contribute to collections success. Automation makes it easier to calculate accurate estimates based on the provider's current prices and the patient's specific insurance benefits. With user-friendly bills, patients can quickly grasp what they owe without needing to ask their provider for clarification. Automated systems can also issue friendly reminders to patients via text or email so they don't miss payment deadlines. Including quick payment links allows patients to click and pay in an instant. 2. Personalized payment options, which create a compassionate and convenient patient experience A survey by Experian Health and PYMNTs found that patients welcome tailored payment plans that allow them to pay their bills in stages. This is backed up by SOPA findings, which show that 40% of providers have seen reduced friction in patient intake thanks to payment plans. Automation can be used to calculate customized options that fit different budgets. Aligning payment plans to the patients' ability to pay improves the consumer experience and minimizes bad debt. Today's consumers want to choose how they pay for care, yet many providers lack the online and mobile-enabled payment options to support fast and convenient payments. With automation, healthcare organizations can enable multiple secure payment methods across their services and departments, giving patients more hassle-free ways to pay. 3. Increased efficiency, which reduces the admin burden for staff With automation handling routine billing tasks, staff can spend less time on paperwork and more time on patient care, leading to a more efficient and patient-focused service. Overall, automation creates a smoother billing experience. Patients appreciate clear information, convenient payment options, and timely reminders, which makes them more satisfied with their care. Key tools and technologies for automating patient collections When building a toolkit for automated patient collections, providers can choose from a growing range of technologies. For example: 1. Analytics-based collections optimization One way to simplify patient collections is to use data analytics to screen, segment and prioritize self-pay accounts so that each one can be handled in the most efficient way. Collections Optimization Manager screens patient accounts for bankruptcy, deceased status, Medicaid, and charity so staff can focus on higher-yield accounts. After screening, accounts are given a score based on the patient's propensity to pay and then routed to the most appropriate servicing channel. Users can access real-time dashboards and expert consultancy support to monitor and improve collections strategies. This improves the experience for patients, reduces repetitive manual work for staff, and maximizes collections while reducing the overall cost to collect. See it in action: How Wooster Community Hospital collected $3.8M in patient balances with Collections Optimization Manager 2. Financial aid automation Many patients with high out-of-pocket costs and co-pays are unaware that they might be eligible for financial assistance. By using Experian’s comprehensive data, Patient Financial Clearance automatically determines which patients may qualify for financial assistance and even auto-enrolls them in relevant programs. To make this process as easy as possible for patients, the tool prompts them to complete applications whenever it is convenient, either online or through their smartphones. This releases staff from time-consuming manual work and accelerates approvals and payments. In addition, the tool creates individualized payment plans that account for what the patient is likely to be able to afford, thus helping providers collect from patients who do not qualify for charity support, too. See it in action: How Eskenazi Health boosted Medicaid approvals by 111% with financial aid automation 3. Automated upfront, accurate estimates For patients with out-of-pocket bills, getting ahead of any surprise charges with accurate pre-service estimates is essential. Patient Estimates is a web-based pricing tool that pulls together every last detail about chargemaster pricing, payer contracts, insurance benefits and financial assistance policies to generate an accurate estimate for patients. It applies any prompt-pay discounts or payment plans so the patient knows what to expect. Helping patients understand and prepare for forthcoming bills smooths out the payment process and leads to more revenue being collected, sooner. 4. Digitally enabled payment technology The patient-friendly collections experience can be rounded out by offering a choice of digital-first payment methods. PaymentSafe® allows providers to securely accept patient payments at any time, expanding the number of collection points available to patients. The tool automatically integrates data from across the payments ecosystem to pre-populate fields in the patients' accounts, allowing them to pay multiple bills at once, and automatically settles and remits payments. Making it easy for patients to pay accelerates payments, including before and at the point of service. The future of patient collections through automation Bringing together automation and patient collections will continue to simplify and make these processes more patient-friendly. Automation and digital tools will enable more self-service options, making it easy for patients to manage bills, choose payment plans, and make payments at their convenience. Moving toward greater transparency and personalization will also give patients more control. Emerging technologies such as predictive analytics, machine learning and artificial intelligence will give providers greater insights into their patients' financial needs, so they can offer proactive and compassionate support to navigate the process. As these trends gather steam, patient collections will become faster, more adaptable and better aligned with the needs of today's healthcare consumers. Find out more about how simplifying patient collections with automation can improve patient experiences and increase collections. 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

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

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