Tag: ClaimSource

Claim denials are costly to correct and resubmit. They impede revenue flow, slow down patient care delivery, contribute to poor patient experience and satisfaction, increase administrative workload and take up limited staff time and resources. While they're avoidable, Experian Health's State of Claims 2022 report shows that 30% of respondents say denials are increasing between 10-15% year over year, which costs health systems billions of dollars. Moreover, rebilling payers often proves fruitless. Despite taking up resources and staff time and productivity and slowing down healthcare delivery, reworked and resubmitted claims denials often face repeated rejection. A KFF brief on claims denial noted that even though it's uncommon for consumers to resubmit denied claims, insurers usually stick to their original decision when resubmissions occur. Unsurprisingly, preventing claims denial and streamlining the claims management process has become a pressing need for revenue cycle leaders. The report also revealed that 70% of respondents consider claims management and reducing denials as top priorities. However, the reality of a drop in claim denial rates becomes tangible only when healthcare organizations start to automate claims processes. Claim Scrubber sets the standard as a software solution that effectively reduces denial rates, by ensuring that providers submit clean claims from the start. What is Claim Scrubber? Claim Scrubber is an automated software solution that helps healthcare providers identify errors that may lead to incorrect billing and claims denials and submit clean, thorough and accurate claims every time. It reduces undercharges and denials, ensures timely billing and payments, improves staff time and productivity and increases cash flow and bottom lines. This tool is built to seamlessly complement Experian Health's other claims processing solutions, including ClaimSource® and Denial Workflow Manager. By adopting these solutions, healthcare organizations can enjoy the full range of benefits in their claims processing and management experience while benefiting from timely, uninterrupted cash flow and higher revenue. How does Claim Scrubber work? Claim Scrubber is designed to consistently and reliably help healthcare staff produce clean and accurate claims that are more likely to be approved by payers. Here's how: Claim Scrubber meticulously analyzes each line of every pre-claim to ensure accurate coding and information before submission to the claims clearinghouse. After completing the analysis, Claim Scrubber provides general and payer-relevant edits that pinpoint incorrect code combinations or other issues that could lead to claim denial. These edits are stored within the Claim Scrubber portal and can be conveniently accessed by users from their PMS and HIS. Claim Scrubber details reasons for flagging a claim so users can make appropriate corrections before submission. Claim Scrubber enables users to make edits in alignment with payer policies by using Experian Health's comprehensive database of commercial payer policies and content. Claim Scrubber also identifies when the billed amount is less than the payer-allowed amount, helping health systems catch and correct undercharges. Claim Scrubber cleans claims, making them error-free by working with the latest and most up-to-date data. Claim Scrubber is fully functional in batch mode. Claim Scrubber operates on a secure VPN connectivity feature to ensure secure and rapid responses for real-time integrations. How can Claim Scrubber help improve claims management? Claim Scrubber optimizes claims processing by providing revenue cycle decision-makers and their teams with solutions that identify potential coding and billing errors upfront, ensure error-free claims submission to payers or clearinghouses, prevent undercharges and underpayment, increase first-time pass rates and prevent costly, time-consuming rework and rebilling that may result in a second rejection. Additionally, Claim Scrubber enables healthcare organizations to comply with and meet price transparency rules by staying updated on coding variances. Users can also revise flagged claims, ensuring appropriate and accurate corrections are made with access to Experian Health's extensive commercial payer policies and content database. Claim scrubbing occurs within 2.7–3.0 seconds, ensuring speedy transaction processing that leads to faster reimbursements. Healthcare organizations can also enjoy these benefits without the hassle of needing servers, regular maintenance and downtime with Experian Health's cloud-based application. See how State of Franklin Healthcare Associates used Claim Scrubber to expedite accounts receivable (A/R) by 13% and reduced full-time employee (FTE) requirements even as claims volume grew. Read the case study Healthcare organizations that automate claims management gain advantages that benefit all stakeholders and bottom lines. Claim Scrubber enhances operational efficiency, staff productivity, resource utilization, patient experience and satisfaction and hospital cash flow and financial growth. Contact us today to learn how Experian Health's Claim Scrubber software can help your healthcare organization submit clean, thorough claims and get paid faster and more accurately. Learn more Contact us

Once hesitant, the healthcare industry is slowly embracing artificial intelligence (AI)'s potential. Healthcare stakeholders, particularly those in revenue cycle management, are now interested in exploring AI-driven technology solutions to tackle daunting administrative tasks. According to data highlighted by the Journal of AHIMA, two-thirds of health systems are adopting AI to support revenue cycle processes. AI offers solutions that address the complexities of medical billing, insurance claims, and patient payments and enhance hospitals' financial health. The potential savings from AI adoption in healthcare spending could range from $200 to $360 billion annually, making it a compelling option for revenue cycle leaders looking to save more in far less time and with fewer resources. AI-powered tools show strong promise to reshape how revenue cycle leaders manage the most pressing issues in revenue cycle management, offering an efficient and seamless solution to complex revenue cycle tasks, including automated data entry and real-time insurance verification. Read on to discover more about the role of AI in revenue cycle management and how best to take advantage of robust AI solutions to streamline claims processing. How is AI used in revenue cycle management? The state of the average healthcare revenue cycle today reveals a pressing need for improvement. According to Experian Health's State of Claims 2022 report, reimbursement cycles are getting longer and claim errors and denials are rising. Here are everyday revenue cycle management challenges that AI-powered solutions can efficiently solve. AI can help manage complex billing procedures Accurate medical billing is the first step towards guaranteeing claims approval, yet data indicates that revenue cycle managers are falling short in this critical area. Errors in medical billing cost the U.S. healthcare system approximately $935 million weekly, highlighting the urgent need for improvement in the medical billing processes. Navigating the intricate landscape of insurance plans, billing codes, and patient payments can be overwhelming. Each insurance plan has unique nuances and requirements, adding to the complexity. Moreover, the success of a billing process relies on accuracy, which may be near impossible with manual handling. Adopting AI into every aspect of the billing cycle can streamline and improve the billing process while ensuring accuracy at every stage. AI-powered billing solutions like Patient Access Curator effectively manage critical aspects of the process, including verifying a patient's coverage and eligibility and fixing billing errors. Accurate billing significantly reduces the potential for rejected claims, creating opportunities for more efficient healthcare operations and saving money. AI in RCM can help prevent claim denials  According to The State of Claims 2022 report, 200 health professionals surveyed stated that 5% to 15% of claims are denied. These denials result in hospitals losing billions of dollars, approximately $260 billion per year, forcing them to write off massive amounts of debt, as noted in the Journal of Managed Care & Specialty Pharmacy. Insurance claims denials often result from inadequate data and analytics to identify submission issues, manual claims processing, and insufficient staff training. These denials affect the hospital's revenue and create additional administrative work to rectify the errors. The downstream effect is that patients may receive bills in error and end up paying the out-of-pocket bills if resolution does not occur. AI can make a huge difference, turning the bleak trend of increasing claim denials into a more positive experience for hospitals and patients. Encouragingly, The State of Claims 2022 report reveals that over half of healthcare providers use AI-powered healthcare claims management software to prevent claim denials. Among these AI-powered software solutions, Experian Health's AI Advantage™, when used in conjunction with ClaimSource®, an automated claims management system, stands out as a valuable solution for bolstering denial prevention efforts, improving claims management, and increasing revenue savings. Reduce patient payment delays With the rise in high deductible health plans, patients are putting off or not making payments, affecting the hospital's cash flow. According to medical billing analysts, people with health insurance, who previously accounted for only a fraction of hospital debtors, now constitute the majority of debtors in American hospitals. Hence, patient payment delays are now serious roadblocks to seamless revenue cycle management. On the provider end, there's also the challenge of swiftly verifying a patient's coverage and estimating their medical bill without any margin for error. Billing mistakes, surprise expenses, and complex payment processes can make it challenging for patients to manage their finances and make payments as early as possible. On the other hand, early and accurate estimation of patients' financial responsibility can help patients understand and appropriately plan for medical bills in advance. However, achieving the latter experience for patients involves sifting through constantly growing data, compounding the strain on limited hospital resources. That's where AI-powered revenue cycle management solutions can help. With solutions like Patient Access Curator, healthcare providers can quickly and accurately gather and verify necessary information about a patient's insurance, enabling them to promptly provide patients with a clear picture of what's left for them to pay. How can AI help with claims management? AI-powered software offers tailored solutions to simplify and optimize claims management processes and, in turn, improve revenue cycle management. Here are two critical ways AI can help with claims management. Real-time insurance eligibility verification Accurate eligibility verification is a fundamental part of the claims process. It is crucial for an accurate and faster billing process, increasing claims approval rates, and improving revenue cycle management. Conversely, incorrect verification leads to denied claims, contributing to care delays, wasteful healthcare spending, and a poor patient payment experience. By using Experian Health's Al-powered Patient Access Curator solution, healthcare providers can instantly verify and update patient insurance information, ensuring accurate billing and reducing the potential for claims denial. This real-time verification eliminates any need for guesswork and ensures that billing is done based on the most current insurance information. Patient Access Curator is a valuable tool for hospitals looking to save time, money, and staff resources that would have been spent on a lengthy and denial-prone claims process. With just one click and in 30 seconds, it prevents claims denial problems on the front-end. Since 2020, it has been a game changer for the financial health of clients using the platform, helping them save over $1 billion in denied claims. Predictive claims analysis AI can predict potential claim denials or payment delays, empowering hospitals to take proactive measures. By analyzing historical data and patterns, AI can flag potential issues before they become costly problems. AI Advantage™, another AI-powered solution, aims to help healthcare providers prevent and manage claim denials. This solution has two components:AI Advantage – Predictive Denials: reduce claims denials by spotting errors and identifying claims that don't meet ever-changing payer rules, allowing corrections to be made.AI Advantage – Denial Triage: works after a claim has been denied to identify and group denials most likely to be approved after resubmission, allowing organizations to prioritize resubmissions most likely to benefit their finances. As revenue cycle leaders strive to navigate the ever-evolving landscape of healthcare, it is crucial to embrace AI to stay ahead of the game. With Experian Health's expertise and resources, healthcare providers can fully take advantage of robust AI solutions to streamline their revenue cycle processes and achieve financial success. Find out more about how Experian Health helps healthcare providers leverage AI to solve the most pressing issues in revenue cycle management.

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.

With millions of healthcare claims to process and millions of dollars at stake each month, getting claims right the first time is a top performance indicator for healthcare providers. The administrative burden is immense – there are more than a thousand health payers, each with their own requirements, edits and software. Each claim must be scrubbed to make sure every last detail is correct before it's submitted – or the result will be delayed payments and lost revenue. By taking this resource-intensive activity off providers' hands, medical billing clearinghouses are often the “most valuable player” of healthcare claims management. Choosing the right medical claims clearinghouse could make or break a provider's claims management success. What is a medical claims clearinghouse? Healthcare clearinghouses help providers increase reimbursement rates by checking each claim before it's submitted to the payer. They scrub for errors and omissions, then reformat the data to meet the specific requirements of each payer. Once a claim is cleared, the clearinghouse transmits the electronic claim (the “837 file”) to the appropriate commercial or government payer using a secure connection, in line with the Health Insurance Portability and Accountability Act (HIPAA). The payer evaluates the claim and communicates acceptance or rejection to the clearinghouse. If payment is due, the payer will issue a reimbursement check with an Explanation of Benefits (EOB) statement. Rejected claims may be resubmitted once any corrections have been made. This sounds like a simple process, but it's extremely complex. Tracking and adapting to individual payer edits, state insurance regulations, and multiple software systems call for a level of expertise and industry insight that would be challenging for in-house teams to maintain efficiently. With a singular focus on claims routing and the quirks of individual payer adjudication workflows, healthcare clearinghouses are often better placed to streamline electronic claims submissions. What services do clearinghouses help with? A healthcare clearinghouse can typically offer: Claims processing: Managing the submission, processing, and tracking of medical claims electronically to insurance payers. Denial management: Handling denied claims by identifying the reasons for denial, correcting errors, and resubmitting claims for reimbursement. Real-time eligibility verification: Verifying patients' insurance coverage and eligibility in real time to ensure accurate billing and reduce claim denials. Electronic data interchange (EDI): Facilitating the electronic exchange of healthcare data between healthcare providers and insurance payers in standardized formats. Electronic remittance advice (ERA) processing: Receiving and processing electronic remittance advice from insurance payers to reconcile payments and denials with submitted claims. Claim scrubbing: Checking claims for errors, inaccuracies, and missing information before submission to reduce the likelihood of claim denials. Coordination of benefits (COB) verification: Identifying primary and secondary insurance coverage for patients with multiple insurance plans to ensure accurate billing and reimbursement. Claim status inquiry and reporting: Providing tools and services to track the status of submitted claims and generate reports on claim processing metrics. Compliance and regulatory support: Ensuring compliance with healthcare regulations, such as HIPAA, and staying updated on changes in billing requirements and coding standards. Provider enrollment: Helping healthcare providers enroll with insurance payers and update their provider information as needed. Appeals management: Assisting healthcare providers in appealing denied claims through proper documentation and communication with insurance payers. EDI connectivity and integration: Offering connectivity solutions and integration services to seamlessly exchange data between healthcare providers' practice management systems and the clearinghouse platform. Customer support and training: Providing ongoing support and training to healthcare providers and their staff on using the clearinghouse platform effectively and resolving issues related to claims processing and reimbursement Why work with a medical claims clearinghouse? The answer lies in the growing problem of denied claims. Denials dent provider profits through lost revenue and time wasted on reworking claims. A 2021 KFF study of in-network claims found that 18% were denied because they were for excluded services, 9% because of missing prior authorization or referrals, and 72% because of “other reasons.” This likely includes incorrect patient encounter codes, incomplete patient or physician information, or other data entry errors. Too many denials arise from avoidable human error. Providers can ill-afford an inefficient claims management workflow. Direct submissions require staff to repeat the same data entry tasks repeatedly, using multiple software accounts. Monitoring claims status without a centralized system is messy. And with ongoing staffing pressures, many providers don't have the resources or infrastructure to attempt this anyway. The savings of a direct-to-payer approach are soon outweighed by higher denial rates. Healthcare clearinghouses can ease the burden on in-house RCM teams, smooth friction between providers and payers, and provide industry intelligence to streamline claims submissions. By partnering with a medical claims clearinghouse, providers don't just save time and staff resources, but increase the likelihood of claims being submitted right the first time. The importance of choosing a clearinghouse that stays compliant Complying with industry regulations helps healthcare providers avoid costly fines and reputational damage. Compliance rules ensure adherence to stringent regulations like HIPAA, which safeguards patient data privacy and confidentiality, ensuring that all data handling practices comply with the highest standards. A compliant clearinghouse implements robust security measures like encryption and access controls to protect sensitive information during EDI. Staying compliant fosters trust among stakeholders, including patients, healthcare providers, and insurance payers. It demonstrates a commitment to ethical practices and upholds industry standards, promoting long-term relationships and sustainability in the always-evolving healthcare field. What to look for when choosing a medical billing clearinghouse? Here are five features to look out for when choosing the right medical billing clearinghouse partner: 1. Usability “Is this medical claims clearinghouse going to be easy to work with? Do they have a user-friendly interface?” Given that a significant motivation behind working with a medical claims clearinghouse is to make the claims process easier, the first question to ask is how easy they'll be to work with. The ideal clearinghouse partner will offer a streamlined user experience with an intuitive online claims dashboard or interface so that all claims can be managed in one place. Inevitably, issues that need to be checked by the provider's medical billing team will crop up. The clearinghouse should offer clear communication channels and protocols for verifying, correcting, and adding any missing information or documentation. Ideally, the clearinghouse's interface will provide at-a-glance error reports and updates on the status of each claim, to minimize delays and allow staff to report on progress. The clearinghouse should also offer staff training and real-time support for fast and effective implementation. Medical billing teams don't want to spend hours chasing up queries, so investigating call center support protocols and response times is a smart move. Some of the standard add-on services that make the medical claims clearinghouse more user-friendly include: Training materials: The clearinghouse should offer comprehensive training sessions, to empower healthcare providers and staff with the knowledge and skills to utilize the platform effectively. Customer service: The clearinghouse should pride itself on delivering exceptional customer service tailored to its users' unique needs and challenges. A dedicated support team is available via phone and email to promptly address inquiries, troubleshoot issues, and provide personalized assistance. Their responsive and knowledgeable approach ensures that users receive timely support and guidance whenever they require assistance. Also, look for a medical claims clearinghouse with security and privacy features to keep patient data safe. For example: Data encryption: All data transmitted through the clearinghouse platform should be encrypted using industry-standard protocols, safeguarding sensitive information from unauthorized access during transmission Access controls: Role-based access controls limit user access to specific features and functionalities based on their role and responsibilities within the healthcare organization, reducing the risk of unauthorized data access and misuse. Audit trails: Comprehensive audit trails track and record all user activities within the platform, enabling administrators to monitor and review user actions for compliance and security purposes. The medical claims clearinghouse should conduct periodic security audits and assessments to identify and address potential vulnerabilities and ensure ongoing compliance with industry regulations and best practices. Data redundancy and disaster recovery: Robust data redundancy measures and disaster recovery plans are in place to protect against data loss or corruption, ensuring continuity of service and minimizing downtime in the event of unforeseen incidents or emergencies. Confidentiality agreements: All staff members undergo training on data privacy and security practices and sign confidentiality agreements, reinforcing their commitment to protecting the confidentiality and privacy of patient information. 2. Reach and scope “Does this medical claims clearinghouse connect to all our regular payers? Will we need to engage additional clearinghouses for specific cases?” To leverage the advantages of outsourcing claims processing, providers must check that the clearinghouse can handle their specific claims mix and list their most-billed payers. Healthcare clearinghouses often specialize in different types of claims, such as in-patient, out-patient, dental, pharmacy, and so on, so this will likely be a quick way to narrow down the options. Similarly, some operate only in certain regions, and if the provider needs to submit claims to payers outside that area, they're going to need another clearinghouse. In most cases, choosing a clearinghouse with a broad reach and national scope will be beneficial so that all claims can be handled by a single vendor. If the provider plans to use the clearinghouse for Medicaid submissions, they'll also want to check that their partner is set up to do this in line with state requirements. Providers should also consider what services they need from their clearinghouse: submitting electronic claims? Verifying patient eligibility and coverage? Checking the status of claims and receiving ERAs? Some clearinghouses will perform all these functions, while others focus on one or two areas. 3. Error rates “What are the clearinghouse's average rejection rates? How can we accelerate corrections?” Minimizing billing errors is the key to reducing rejections and denials. When discussing program components with a potential clearinghouse partner, providers should look for features that minimize errors, such as checks for duplicate information, missing attachments and coding discrepancies. A dashboard that flags any potential issues means errors can be found and fixed immediately, rather than being discovered weeks later. To complement this process, providers should also consider what in-house actions could further reduce the risk of errors. Running internal checks with automated tools such as Claim Scrubber can ensure claims are in good shape before they're sent to the clearinghouse. Claim Scrubber reviews every line of pre-billed claims and verifies patient information coding entries before being sent on. General and payer-specific edits can be checked to increase first-time pass rates. Automated Prior Authorizations and Insurance Eligibility Verification tools offer another layer of extra checks, by verifying eligibility at each stage of the patient's healthcare journey. 4. Affordability “How are the clearinghouse's contracts structured? Are there extra fees to watch out for?” Providers will want to find a reasonably priced clearinghouse. Some charge a fixed monthly fee, while others charge a variable fee based on the volume of claims each month. Providers with relatively low claims should choose the first option. Eligibility checks, claim status updates and remittance receipts are likely to be charged separately, so these should also be factored into contract discussions. Because the rules around claims submissions often change, providers should avoid being locked into long-term contracts, and clarify the termination arrangements. Using a medical claims clearinghouse offers several financial benefits for healthcare providers: Faster reimbursement: Clearinghouses streamline the claims submission process, reducing the time it takes to submit and process claims. This results in quicker reimbursement from insurance payers, improving cash flow for healthcare organizations. Reduced claim denials: Healthcare clearinghouses employ claim scrubbing technology to identify and correct errors before submission, reducing the likelihood of claim denials. These solutions help minimize the need for costly appeals and resubmissions, saving time and resources. Improved efficiency: Automating manual tasks and providing electronic solutions for claims processing lets clearinghouses increase operational efficiency within healthcare organizations. Staff can focus on patient care instead of administrative tasks, optimizing productivity and reducing labor costs. Lowered administrative costs: Clearinghouses offer a centralized platform for managing claims and interacting with insurance payers, streamlining administrative processes and reducing administrative overhead costs associated with paper-based systems. Access to reporting analytics: Clearinghouses often provide analytics and reporting tools that offer insights into claim submission trends, denial rates, and reimbursement patterns. Healthcare providers can use this data to identify areas for improvement and optimize revenue cycle management strategies. Negotiation power with payers: Clearinghouses provide valuable data and analytics that healthcare providers can use during contract negotiations with insurance payers. Access to comprehensive claim data and performance metrics strengthens providers' negotiating position, potentially leading to more favorable reimbursement rates. It's also worth considering how partnering with a clearinghouse that integrates with other claims management solutions can deliver cost savings elsewhere in the revenue cycle, through optimized workflows and greater efficiency. 5. Integrated services “How does this service fit within our broader revenue cycle management (RCM) activities?” Claims management doesn't happen in isolation: everything from the patient billing experience to internal denials management should work together to improve the entire revenue cycle. It's important to look for a clearinghouse that can integrate with other RCM tools to improve first-pass rates and shorten payment cycles. Some clearinghouses can receive electronic remittance advice (ERA) and even automate payments, which could help providers get paid faster and further reduce the administrative load on staff. Clearinghouses can also integrate with a provider's electronic medical record and medical billing software to plug any gaps before claims are submitted. This integration ensures that accurate and up-to-date patient information is included in claims, reducing errors and denials. Additionally, clearinghouses may offer tools or APIs (Application Programming Interfaces) that allow EHR systems to transmit claims data directly to the clearinghouse platform, eliminating the need for manual data entry and improving efficiency. Clearinghouses should also integrate with practice management (PMS) systems to streamline claims submission. This interoperability enables a seamless transfer of patient and billing information from the PMS to the clearinghouse platform, automating claim generation and submission. Clearinghouses may even provide real-time claim status updates and remittance advice directly within the PMS. As noted, providers can accelerate claims and denial management by leveraging tools such as Claim Scrubber and ClaimSource. These tools draw on Experian Health's unrivaled dataset and analytics platforms, and integrate with Experian Health's other RCM solutions to verify and automate the information being added to each claim. Experian's patient identity solutions can also be used to keep patient data safe and secure, and cross-check demographic information to prevent hold-ups and streamline the entire process. Technological Trends and Innovations Technological advancements, particularly artificial intelligence (AI), are transforming claims denials management. AI-powered algorithms can analyze vast datasets to identify patterns, predict claim outcomes, and optimize workflows. These solutions enable healthcare providers to choose clearinghouses based on performance metrics, such as claim acceptance rates and denial management capabilities. By harnessing AI, clearinghouses offer unparalleled accuracy, speed, and intelligence, empowering healthcare organizations to maximize revenue and streamline healthcare operations. Glossary of Clearinghouse Terms Clearinghouse: A third-party entity that acts as an intermediary between healthcare providers and payers (insurance companies or government agencies) to facilitate the electronic processing of medical claims. EDI (Electronic Data Interchange): The electronic exchange of structured data between computer systems, used by clearinghouses to transmit medical claims data between providers and payers. HIPAA (Health Insurance Portability and Accountability Act): Federal legislation that sets standards for protecting and securing patients' health information, including electronic transactions such as those handled by medical claims clearinghouses. Claim Submission: The process of sending a request for reimbursement for healthcare services rendered to a patient to the payer through the clearinghouse. Claim Validation: The process of verifying the completeness and accuracy of medical claims data before submission to the payer, helping to reduce errors and denials. EDI Enrollment: The process by which healthcare providers register with a clearinghouse to exchange electronic data, including setting up connectivity and establishing secure transmission protocols. Rejection: When a submitted medical claim does not meet the requirements or standards set by the payer, resulting in a refusal to process the claim for reimbursement. Error Code: A numeric or alphanumeric code provided by the clearinghouse or payer to indicate the reason for a claim rejection, facilitating troubleshooting and correction of the issue. Electronic Remittance Advice: A document sent by the payer to the healthcare provider detailing the status of processed claims, including payment information and explanations for any denials or adjustments. Claim Status Inquiry: The process of querying the clearinghouse or payer to obtain information on the current status of a submitted medical claim, such as whether it has been received, processed, or paid. Claim Resubmission: The process of correcting and re-submitting a rejected or denied medical claim for reconsideration and processing by the payer. Batch Processing: The method clearinghouses use to handle multiple medical claims simultaneously, typically in large batches, to increase efficiency and reduce processing time. Payer List: A directory maintained by the clearinghouse containing information about the insurance companies and government agencies with which it interfaces for medical claims processing, including contact details and electronic submission requirements. Learn more about how Experian Health's medical claims clearinghouse and claims management solutions can help providers simplify and accelerate claims processing for faster payments and fewer denials.

“Is this claim valid? How much is our financial responsibility?” These are the two big questions payers want to answer when adjudicating healthcare claims. Huge amounts of patient information, clinical data, diagnostic and billing codes, and policy specifications must be analyzed and cross-checked to verify that the right amount is paid to the right party. It's a complex process. Even the smallest error can result in a claim being rejected or denied, dragging out payment timelines and eating up provider profits. That's why healthcare providers should reevaluate their claims adjudication process. Experian Health is pleased to announce that we've ranked #1 in Claims Management and Clearinghouse, for our ClaimSource® claims management system, according to the 2024 Best in KLAS: Software and Professional Services report. Learn more The claim adjudication process is a pivotal step in the revenue cycle and determines a provider's reimbursement for services rendered. It's a complex process with many moving parts, which means errors or delays can occur at many points along the way. A smooth, streamlined system can reduce the amount of time and money spent on claims adjudication for both the payer and the provider. Here are six steps to improving claim adjudication processes for a better bottom line. What is claims adjudication? Claims adjudication is the process by which insurance companies thoroughly review healthcare claims before reimbursement or payout. During this process, they decide whether to pay the claim in full, pay a partial amount, or deny it altogether. If more information is needed, the claim will be rejected and marked as “pending.” Insurance companies employ this systematic procedure to determine the validity, accuracy, and eligibility of claims against the terms and conditions of their policy. During claims adjudication in healthcare, insurance payers assess the documentation provided by the service provider, examining factors such as the nature of the services, coverage details, and any applicable deductibles. The process can take weeks to resolve itself. This evaluative process ties up billions of dollars in an endless cycle of claims denials and resubmissions. Following this evaluation, the provider will reject or settle the claim. Additionally, claims adjudication may lead to partial settlements or modifications based on the assessment of the claim. By all accounts claims denials are exceedingly common; a recent Experian Health survey showed that these numbers have increased by up to 15% annually. Healthcare providers can implement several steps to mitigate the risk of denials, enhance the efficiency of claims adjudication and get paid faster. Steps to improving the claims adjudication process The healthcare reimbursement process is bogged down with manual tasks that create errors. Experian Health's State of Claims 2022 report revealed that the most common claims errors include: Missing or incomplete prior authorizations Failure to verify provider eligibility Mistakes in medical coding Yet providers have new technologies at their fingertips to improve how and when they get paid. McKinsey reports on data showing that applying the latest artificial intelligence (AI) and automation digital tools to the revenue cycle could save healthcare providers up to $360 billion annually. That makes these tools a kind of adjudication insurance to protect providers against costly claims denials. Here are six ways to apply technology to improve the claims adjudication process. Step 1: Invest in automation Some of the benefits of automating healthcare claims management include: Streamlined operations with fewer human errors. Less staff time tied up in claims adjudication. Better data with real-time insights into patient and payer trends. Faster claims processing—and faster payment. Better patient experiences. Happier staff. Applying AI and automation to claims management can eliminate errors by allowing the technology to validate and cleanse data at the point of entry. Tools like Experian Health's Claim Scrubber can thoroughly review each line of claim data in seconds. Alerts can flag a human attendant, allowing them to correct mistakes before claim submission. Automation technology like the Enhanced Claim Status streamlines the revenue cycle by tracking the claims adjudication process in real-time. Instead of submitting a claim and awaiting the payer's response, this technology provides claim statuses within 24 to 72 hours. Step 2: Prevent delays with front-end edits and save time spent in claims adjudication How much time could providers save by correcting front-end mistakes before the claims adjudication process begins? During claims adjudication, payers will compare claims data to payer edits, to make sure billed services are coded correctly. Therefore, providers must keep pace with current coding requirements and the universal, local and payer-specific edits that apply. If claims are not correct the first time, they'll fail the payer's initial automated review, and may be denied or pushed into a queue for manual review by a claims examiner, leading to inevitable delays. Front-end claims editing tools can find errors that might prevent reimbursement, such as missing prior authorization or coordination of benefits codes. Patient Access Curator, Experian Health's latest revenue cycle data curator package, helps healthcare providers eliminate errors quickly on the front-end. This solution uses AI to perform eligibility, COB, Medicare Beneficiary Identifier (MBI), demographics and discovery in a single solution, preventing denials at the front end with a single click, within seconds. Experian Health's ClaimSource® solution allows organizations to implement customized edits and rules tailored to specific payer requirements. These edits help catch errors related to coding, billing, or other aspects of the claim, preventing inaccuracies from progressing to claims adjudication. While the industry average for claims denials is 10% and higher, Experian Health clients who use ClaimSource have a typical denials rate of just 4%. That's one reason Experian Health's ClaimSource solution earned the top KLAS ranking for the second consecutive year. Step 3: Streamline record-keeping and data management Electronic record keeping plays a pivotal role in ensuring accuracy in healthcare claims. These platforms allow centralized storage of patient data, including medical history, treatment plans, and billing information. Electronic record systems can enforce standardized coding practices, ensuring that medical codes used for billing and claims adhere to industry standards. They also maintain detailed audit trails, documenting all changes and updates made to patient records. This level of accountability enhances accuracy by allowing organizations to trace any modifications and ensure data integrity throughout the claims adjudication process. Notably, electronic record-keeping systems seamlessly integrate with healthcare claims management systems. Integration ensures that the information entered into electronic health records (EHR) automatically populates relevant fields in the claim, minimizing the need for manual data entry and reducing the risk of transcription errors. Step 4: Automatically review coding for accuracy Coding errors can result in claim denials and delay reimbursements to providers. For example, manual coding introduces the risk of typos or misinterpretation of the medical record. Because of the complexities of payer requirements, an incorrect procedure or diagnosis code could trigger claim rejection. Some procedures require supporting documentation or pre-verification before treatment. At the same time, ICD-10 (codes for patient diagnosis) and CPT codes (that identify services rendered) undergo regular updates. Failing to stay on top of these coding systems increases the risk of a rejected claim. The solution is to apply AI and automation to improve the chance of claims adjudication success. Two solutions from Experian Health include: AI Advantage™ - Predictive Denials uses AI to spot documentation errors before the claim goes to adjudication. The solution automatically flags claims with a higher potential for denial, allowing the revenue cycle team to fix errors before claim submissions. For claims that have already been denied, AI-Advantage Denial Triage identifies and prioritizes high-value denials, so teams can focus on remits with the highest impact. Denial Workflow Manager allows providers to quickly identify denied claims early in the claims adjudication process. Remittance details show providers the steps necessary to amend the claim quickly for a higher chance of reimbursement. Intelligent data-driven denial analytics spot the root causes of denials, so remedial action can be taken. Step 5: Create clear patient communication channels Clear patient communication channels are essential for preventing errors in healthcare claims adjudication. Incorrect patient information can result in claim denials, causing delays in reimbursement and impacting both patients and healthcare providers. Automated patient outreach technology significantly enhances communication while reducing the likelihood of errors. Solutions like Patient Access Curator also work to capture accurate patient data at registration - all in a single click. Electronic patient portals, powered by automation software, can also solve this challenge. These portals empower patients to update their information directly, ensuring the accuracy of data submitted with claims. Patients can verify and input their demographic details, insurance information, and other relevant data through user-friendly interfaces. Electronic patient portals significantly reduce the risk of errors in patient information by minimizing manual data entry and streamlining the information-sharing process. These tools enhance the efficiency of the claims adjudication process, reduce the likelihood of denials, and promote a smoother experience for patients and healthcare providers. Step 6: Advocate for policy change Moving towards claims adjudication automation with uniform industry standards can save providers and payers time and money. Currently, each payer operates within their unique silo of ever-changing reimbursement requirements. A lack of standardization means providers spend hours checking claims against payer requirements. The first step toward industry standardization requires automation technology to eliminate these time-consuming manual processes. Digital solutions like Experian Health's online prior authorization software update requirements directly from payer websites, giving providers a better shot at submitting a clean claim. Advocating for healthcare policy change toward greater automation and more uniform industry standards is a strategic move that will save time and money and foster a more efficient, transparent, and technologically advanced healthcare ecosystem. This transformation will improve patient care and overall system sustainability. Experian Health was client-rated #1 by Black Book™ ’24 in Denial & Claims Management Outsourcing, Health Systems. Learn more Improving healthcare claims management with Experian Health Today, nearly 20% of all healthcare claims are denied, and 60% are never resubmitted. That ties up significant revenue in the claims adjudication process. However, better claims management processes can yield reduced denials and faster payments. Experian Health offers a complete ecosystem of tools to deliver cleaner claims and faster reimbursement. This suite of products creates an integrated technology ecosystem with a track record of increasing the speed at which healthcare providers get paid. Find out more about how Experian Health's Claims Management solutions can support a more streamlined claims adjudication process.

Technology has a long track record of improving patient care. But humans are now entering uncharted waters as the latest wave of digital tools impact healthcare clinical and administrative workflows. Technology advancements in artificial intelligence (AI) have spawned a fourth industrial revolution. According to the World Economic Forum, it's a time in history “that will fundamentally alter the way we live, work, and relate to one another. In its scale, scope, and complexity, the transformation will be unlike anything humankind has experienced before.” New developments in AI and automation in healthcare will offer numerous benefits to providers. The impact of recent technology advancements in healthcare is staggering. New AI and automation tools can detect human illnesses faster, monitor patients in the privacy of their homes, and streamline laborious administrative healthcare workflows to save providers up to $360 billion annually. The impact of AI and automation in healthcare is just beginning. Here are three ways these tools can help prevent and reduce claim denials, alleviate staff workloads and improve the patient experience. 1. AI and automation helps lessen claims errors Experian Health's State of Claims Survey 2022 reported that 61% of providers rely too heavily on manual processes and lack the automation necessary to streamline reimbursement. Billions of dollars are tied up in rejected claims; healthcare professionals say up to 15% of their claims are denied. However, many denials are preventable simply by eliminating human error stemming from manual workflows. When paperwork is still done by hand, mistakes in eligibility verification or incorrect insurance information are all too common. Some of the typical reasons for claims denials include data entry errors. Claims are complex, and providers handle most revenue cycle tasks manually, so it's common for incorrect insurance details, eligibility verification problems, or other inaccurate or missing information to make it through to claims submission. Far from being science fiction, the newest AI-powered administrative tools can scan patient claims data to detect errors that lead to denials. Given that diagnostic errors alone cost more than $100 billion and affect 12 million Americans annually, this new breed of AI tools offers providers a way to improve care delivery while lessening the endless hassle of claims denials. AI and automation tools can help eliminate up to errors that lead to denied claims. For example: Patient Access Curator automates insurance eligibility and coverage, scanning patient documentation for inaccurate information. The software uses AI and robotic process automation (RPA) to reduce manual errors. AI Advantage™ works to prevent denials before they happen: AI Advantage -Predictive Denials spots claim errors before submission to the payer. It's an early warning system designed to reduce denials by red flagging claims errors. But it also flags claims that fail to meet payer requirements—even if those requirements have recently changed. 2. AI and automation reduces manual processes and staff burnout Manual processes in healthcare contribute significantly to burnout, which affects nearly 50% of staff. The cost of staff burnout and preventable turnover runs around $4.6 billion annually. However, overworked staff leads to mistakes in manual processes and ultimately claim denials, so the cost of burnout directly affects the revenue cycle.Experian Health's 2023 staffing survey shows 100% of healthcare providers say staffing shortages have impacted their revenue cycle. But staff burnout and turnover affect more than reimbursement—more than 80% say it also negatively impacts the patient experience. AI and automation in healthcare can help alleviate the overwork that many staffers feel. Experian Health offers solutions to automate manual tasks, free up staff time, and reduce the volume of claims denials. ClaimSource® reduces the industry's average claims denial rate of 10% or higher to 4% or less. This software automatically scans claims, payer compliance, insurance eligibility, and patient demographics to spot the errors that lead to denials. Automating claims submission lessens the administrative burden and improves the work/life balance for overburdened staff. AI Advantage - Denial Triage covers any claims that end up rejected, prioritizing claims with the highest rate of ROI for providers. The solution uses artificial intelligence to help staff organize their efforts toward the highest revenue generating opportunities to increase revenue collection. It can lessen workloads and help teams work smarter for a higher return and better bottom line. 3. AI and automation in healthcare improves patient experiences Automation improves the patient journey. Experian Health and PYMNTS research show positive patient experience starts with self-service scheduling and registration. This kind of digital front door puts control back in the hands of patients, who are frustrated by time-consuming administrative processes. Patients have high expectations for better tech experiences throughout their healthcare encounters. Experian Health offers solutions that give customers exactly what they demand. For example: Patient Scheduling software allows 24/7 online access to appointment setting tools. In addition to making a more convenient and accessible scheduling process, this tool reduces the time it takes to set an appointment by 50%. The benefits for healthcare providers include a higher patient show rate (89% on average) and higher patient volumes (32% more patients per month). Patient Financial Advisor offers seamless, automated service estimates that go straight to the patient's favorite digital device. The tool creates a transparent payment process to help patients understand their treatment's cost and payment options. Patient Financial Advisor integrates with a secure online payment portal. These tools establish financial accountability up front while eliminating unnecessary surprises that affect the provider/patient relationship. Benefits of AI and automation in healthcare AI and automation in healthcare are changing how patients experience care delivery, how providers interact with their customers, and how clinicians manage getting paid. The benefits of using these tools include: Faster and more accurate patient diagnoses. Fewer patient readmissions and more proactive care management. Streamlined administrative tasks to reduce claims denials and improve the revenue cycle. Experian Health offers a suite of technology solutions, including a revenue cycle data curator package, to help providers get paid faster, free up staff time, and improve the patient experience. These solutions can help healthcare organizations achieve their goals by harnessing the latest AI and automation technologies to work smarter. Connect with an Experian Health expert today.

Claims denials are a thorn in the side of any healthcare organization. Even with claims denial mitigation tools and processes in place, denials are growing. In Experian Health's State of Claims 2022 report, 30 percent of respondents said denials increased between 10% –15% annually. To combat rising denials, ensure faster reimbursements, and improve the revenue cycle, healthcare providers need new claims technology that focuses on efficiency. In this post, learn about the common challenges in traditional claims processing and how to implement automated or AI-based claims management technology to drive healthcare revenue cycle efficiency. Challenges in traditional claims processing When it comes to reimbursement, the odds of being paid do not always favor the healthcare provider. The complexity of claims makes for labor-intensive workflows in traditional reimbursement processing. Data is often culled from multiple systems, including electronic health records (EHRs), paper files, diagnoses, test results, insurance verification, and more. Providers lacking a streamlined set of workflows supported by claims technology, experience errors that can lead to denied claims. Three of the most common challenges in traditional claims processing include missing or incomplete claims information, payer-related problems, and a need for more staff, which slows down processing productivity. 1. Missing or incomplete claim information Missing data is also a huge issue in traditional claims processing. In fact, missing or incomplete data is one of the top reasons for claims denials, particularly in the area of prior authorization. These mistakes often begin upstream at the first point of patient contact and, if not corrected, snowball toward the inevitable denial. Compounding the problem is that disparate healthcare systems and workflows make it increasingly challenging to collect all the data effectively. The larger the healthcare provider, the more touchpoints for claims processing, creating back-and-forth workflows that can lead to miscommunication or the loss of information. 2. Payer-related challenges Just keeping up with changes in payer requirements is a full-time job. Payers often change reimbursement requirements, and providers aren't aware of these new adjudication rules. It requires strict monitoring of all payers, which is impossible for organizations to manage. Prior authorizations are also increasingly burdensome for providers to handle. An AMA survey found that 88 percent of physicians said these burdens were high or extremely high. Providers estimated they process 45 prior authorizations weekly, equivalent to 14 hours of staff time. 3. Reduced or new staff can't keep pace Another challenge is not having the workforce necessary to review claims to identify errors. Workforce shortages continue to impact every healthcare area. The chronic challenge of high workloads and short staffing means most teams work as quickly as possible, leading to preventable mistakes. Without advanced claim technology, staff manually handle heavy workloads, which is driving denials through the roof. The lack of staff also affects traditional claims processing by slowing denials resubmissions. A less efficient denials management process directly affects provider cash flow, creating more delays in getting paid. Resolving these challenges requires modern, advanced claims technology powered by automation and artificial intelligence (AI). By leveraging this technology for claims management, healthcare providers can solve these problems for greater reimbursement efficiency and a better bottom line. Best practices for implementing AI-based claims management technology Experian Health data shows 51% of healthcare providers currently leverage some software automation. However, only 11% had integrated AI technology into their organization. Mounting evidence suggests preventing healthcare claims denials starts with innovative AI-driven claims management technology. AI and automation applied to a claim technology solution can prevent claims denials on the front-end of the patient encounter and improve denial management on the back-end of the process. When evaluating how to implement advanced claim technology, consider these best practices: Start by identifying the pain points in existing claims processing workflows. Review claims denials and mitigation data and talk with existing staff to develop this list. If the organization leverages legacy reimbursement tools, consider how efficiency gaps affect the organization. Consider organizational goals and objectives for replacing manual workflows or upgrading legacy claims management technology. As the organization explores the benefits of advanced claim technology featuring AI, develop use cases for employing these tools for more effective claims management. Compare new product features to these real-life scenarios. Seek stakeholder feedback. All technology rollouts require significant buy-in at every level in the organization. Don't miss engaging with the boots-on-the-ground workforce using the claims technology Ensure the organization has the infrastructure to support the new platform long after it goes live. When evaluating new digital tools, keep these things in mind: Select AI-based claims technology that utilizes workflow customization to manage the entire reimbursement cycle. Seek out a solution that automatically reviews each line in a claim to check for errors so that first submissions are accurate. Leverage a system with automation features that eliminate error-prone manual processes. Choose a platform that enables denial prediction and mitigation. Find a product with denials workflows and enhanced claims monitoring functionality. AI technology is the game-changer for healthcare's skyrocketing claim denial challenges. These new tools deliver immediate value to an increasingly disjointed and complex reimbursement process. With the right technology, healthcare providers improve the claims processing efficiency to get paid faster. Transformative impact of Experian Health's advanced claims technology Experian Health is a leader in digitally transforming traditional claims processing. AI-powered technology can increase staff efficiency at every stage of the claims management process. Experian Health's AI Advantage™, part of the Best in KLAS ClaimSource® platform, is transforming provider claims processing. This software reduces the need for additional staff by automating manual tasks. It lessens the burden on existing teams by lightening their claims processing and denials management workloads. AI Advantage has two primary solutions affecting every stage of the claims management process: Predictive Denials identify undocumented payer rules resulting in new denials. This AI-driven solution finds the claims most likely to fail, flagging them back to payment processing for correction before they're even submitted to the payer. Denial Triage manages prioritization of denied claims. Advanced algorithms in this solution identify and flag denials based on their potential value. Organizations maximize their returns on denied claims by focusing on the resubmissions with the highest financial impact. It removes the guesswork from reworking claims, lessening staff workloads by eliminating time wasted on low-value cases. Another solution, Patient Access Curator, uses AI and robotic process automation to enable healthcare staff to capture all patient data at registration, with a single click solution that returns multiple results - all in 30 seconds.  Experian Health's automated and AI-fueled advanced claim technology improves provider reimbursement efficiency at every stage of the process. The efficiency-related benefits of AI for claims management include avoiding denials, accelerating denial mitigation, and getting paid faster. To explore these tools—and their extraordinary ROI, contact the Experian Health team today.

“As the IU Health Revenue Cycle team rallied to respond to the claims processing disruption, we were uniquely positioned with our long-time Experian partnership to quickly re-institute critical claims routines and restore a significant volume of claims transmissions.  This would not have been possible without Experian's nimble and comprehensive approach, immediately applying talented and committed resources that leveraged existing Experian platform infrastructure.” – Bryan Daniels, Vice President Revenue Cycle Solutions, IU Health Challenge Indiana University Health (IU Health) is the largest network of physicians in Indiana comprised of over 38,000 team members and 2,717 available beds. Based in Indianapolis, Indiana, the organization has dozens of facilities statewide and is on a mission to make the state one of the healthiest in the nation. In February 2024, IU Health found itself impacted by the cybersecurity incident so many providers across the country abruptly faced. They were unable to send claims to insurance companies and their revenue cycle operations came to screeching halt. Knowing they needed a trusted solution fast, the revenue cycle leadership team asked Experian Health if they could help. Solution Conversations advanced quickly and the Experian Health team was able to implement its Best in KLAS ClaimSource® platform within a week. ClaimSource is an innovative claims management solution designed for scalability and improves revenue streams by minimizing denials. By using automation, it boosts operational efficiency by prioritizing claims, payments, and denials, allowing users to tackle high-impact accounts promptly. Outcome Thanks to ClaimSource, IU Health achieved the following results: Accelerated $632 million in claims transmissions in the first five days of business. Processed $1.1B of claims backlog by March 27.  “We value our longstanding partnership with IU Health and it's very rewarding that we were able to help in a very critical situation,” said Jason Considine, Experian Health's Chief Commercial Officer. “We know IU Health places the utmost importance on patient care, and being an important part of our client's solution to deliver on their service commitment is reflective of our service commitment to simplify healthcare.” Learn more about how ClaimSource can help your healthcare organization accelerate cash flow, reduce denials and optimize efficiency.

The relationship between hospitals and payers has often carried an undercurrent of tension. Stacks of paperwork, complex claims rules and manual adjustments are a recipe for disrupted cash flow and time-consuming rework. With profit margins hanging in the balance, providers need the reimbursement process to move forward without a hitch. To the relief of revenue cycle managers, recent developments in digital technology are paving the way for more effective claims management. Case in point: Experian Health's recent acquisition of Wave HDC, which brings together a suite of advanced patient registration solutions for faster and more accurate claims management at the front end of the process. Shifting sands in the hospital-payer relationship could increase denials For healthcare organizations, getting paid in full- and on-time hinges on seamless communications with payers. Any missteps can lead to revenue losses, with denied claims and delayed payments being the outcomes providers most want to avoid. Payers will automatically deny claims that have errors or missing information, while disputes and slow processing times can seriously hamper a hospital's cash flow. The sources of potential conflict have been pretty steady over time, stemming from complex billing processes, frequent changes to payers' requirements, and a lack of standardization between payers.  Tension created by the cost of services and the need to control healthcare costs is a constant in the revenue cycle. Recently, a major shift in dynamics has occurred with the widespread adoption of artificial intelligence by payers. This enables them to process – and deny – claims with unprecedented speed and scale, leaving providers struggling to catch up. On a recent webinar, Makenzie Smith, Experian Health Product Manager for AI AdvantageTM, explained how this change was reshaping the relationship between payers and providers: “So many payer decisions are now being driven by artificial intelligence. Insurers are reviewing and denying at scale using intelligent logic, leaving providers fighting harder for every dollar… Many revenue cycle managers will stick in their comfort zone because operating margins are tight and changing course seems risky. But given this change in payer behavior, the cost of staying the course could put organizations at risk.” How AI-powered revenue cycle management solutions help close the gap between payers and providers Providers are increasingly leveraging digital technology to level the playing field with payers. Integrated software and automation give revenue cycle management teams the right data in the right format and at the right time to respond to queries promptly and accurately. These solutions enable teams to work more efficiently, so they can process more claims in less time. Experian Health's flagship AI-based claims management solution, AI AdvantageTM, is a prime example. This tool predicts and prevents denials by identifying patterns in payer behavior and flagging claims with a high probability of denial so specialists can intervene before the claim is sent to the payer. This works alongside ClaimSource®, which automates clean claim submissions at scale. Using a single application, all claims are prepared and submitted with all necessary documentation, reducing the risk of denial due to missing or inaccurate information. Integrating Wave HDC's data capture technology for comprehensive claims management In November 2023, Experian Health acquired Wave HDC, which specializes in using AI-guided solutions to capture and process patient insurance data at registration with unrivalled speed and accuracy. This gives Experian Health clients access to a single denial management solution, known as Patient Access Curator. This new technology is a single click solution that spans eligibility verification, coordination of benefits, coverage and financial status checks with near-100% accuracy in less than 30 seconds. Crucial registration data can be captured in real time as soon as the patient checks in for an appointment, with no need to chase and update data post-registration. A single inquiry can search for all the essential insurance and patient demographics instantly, enabling better use of staff resources and smoother communications with payers. Tom Cox, President of Experian Health, says the move “allows us to quickly scale our portfolio with advanced logic and AI-powered technology to help solve one of the biggest administrative problems providers face today, which is claim denials.” Accurate patient data from the outset is key to preventing downstream denials, many of which originate in patient access. By reducing errors and enabling faster processing times, this comprehensive approach to denial management will help strengthen the relationship between providers and payers, ensuring timely payments and clean claims. Contact Experian Health today to find out how AI and automation can help build a successful relationship between providers and payers – and drive down denials.