Tag: Revenue Cycle Management

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.

Slow communications, confusing billing and a scarcity of digital options are the last things patients want to deal with when seeking medical care. Yet, this is exactly what happens for too many – and it's a significant financial risk for providers. This article examines why the patient experience matters and suggests four areas for improvement. Specifically, it looks at the digital tools that put patients in the driving seat and boost patient satisfaction and profitability. What is the patient experience? Improving the patient experience starts with answering the following question: what does receiving care feel like to patients at each stage of their healthcare journey? The patient experience includes all the touchpoints between patients and their providers, such as scheduling appointments, attending consultations, collecting prescriptions, and settling bills. There are also intangible components like empathy, respect, trust, and transparency, which shape a patient's lasting impressions of the healthcare organization. The experience goes beyond clinical care and face-to-face moments: back-end processes matter, too. Administrative workflows like insurance verification and claims management may be hidden behind the scenes, but they can soon influence what care “feels like” to patients if they're not running smoothly. Why is the patient experience so important to healthcare organizations? When patients have a positive experience, they're more likely to attend appointments, adhere to treatment plans and make healthier lifestyle choices. Health outcomes improve and the provider can build their reputation as a top choice for quality care. Satisfied patients are less likely to switch providers and are more likely to recommend services to family and friends. Everyone wants their loved ones to get the best possible care. The strong through-line from the patient experience to profitability tops the list for revenue cycle managers. Well-designed patient flows lead to better resource utilization, while improvements in attraction and retention rates directly benefit the bottom line. Positive patient feedback improves staff morale, so performance remains high. Prioritizing the patient experience is not only beneficial for patients, but is an essential strategy for financial sustainability. How to improve the patient experience in healthcare So, what do patients want? Experian Health's State of Patient Access 2024 report shows they want convenience, simplicity and choice, with 60% of patients saying they want more digital options to manage their care. They don't want to be passengers in their healthcare journey: they want to be the drivers, but with the support of a trusted guide. That's where digital tools come in. Here are four ways to use digital tools to improve the patient experience in healthcare: 1. Give patients speedy access to care with online self-scheduling Almost 8 in 10 dissatisfied patients say seeing their doctor quickly is their biggest challenge when accessing care. Online self-scheduling puts patients in charge and accelerates the process by making it easier for patients to find, book and cancel appointments, using an intuitive digital platform. Automated integration with the organization's business rules and calendars means patients only see appropriate appointments. This software maximizes patient show rates with appointments accurately matched to patients' needs. Case study: See how IU Health transformed patient scheduling with automation. 2. Simplify the financial experience with transparent pricing and payment plans Paying for healthcare is notoriously complex. Providers can simplify the patient experience with digital tools that deliver accurate pre-care estimates and flexible payment plans. Experian Health's Patient Payments Estimates solution uses data and automation to help providers give patients an early heads-up about what their bills are likely to be, and directs them to the most suitable financial pathway. In addition, offering hassle-free, secure payment options makes it easier for patients to pay their bills promptly, reducing the risk of bad debt for providers. Case study: See how Blessing Health System used integrated revenue cycle solutions to improve the patient financial experience and increase point of service collections by over 80%. 3. Personalize the patient experience with tailored outreach One of the major advantages of using digital tools is the ability to offer a personalized experience. These tools segment patients for tailored and targeted outreach based on their needs and preferences. This helps providers communicate with patients via their preferred channels and encourages prompt action. For example, text message and interactive voice response campaigns enable target outreach at scale to help accelerate scheduling and referrals and close gaps in care. Case study: See how Dayton Children's Hospital used PatientDial to increase outbound call efficiency. 4. Streamline back-office workflows for a frictionless front-end experience Finally, providers should consider how administrative processes affect what's happening in the front office and waiting room. Neglecting back-end processes can lead to bottlenecks, errors and inefficiencies that compromise the overall quality of the patient experience. Automated, data-driven revenue cycle management solutions not only eliminate time-wasting manual processes and help providers reduce errors and rework, but they also elevate the patient experience by reducing data errors and delays. Implementing tools like Patient Access Curator can also help take the pain out of registration and scheduling for patients, by capturing all patient data at registration with an all-in-one, single-click solution. By making every patient-provider interaction as simple and supportive as possible, healthcare organizations can build a patient experience that inspires loyalty, trust and engagement. With a bit of help from the right data and digital tools, providers can deliver a better patient experience and, in turn, secure financial sustainability. Find out more about how Experian Health's digital patient engagement solutions can boost patient satisfaction and provider profitability.

Many healthcare providers believe pairing “revenue cycle” with a qualifier like “predictable” is an oxymoron. From healthcare staffing shortages that slow down reimbursement tasks to increasing payer denials, financial regularity can seem like an unattainable goal for these organizations.  The American Hospital Association (AHA) reports over one-half of U.S. hospitals had financial losses in 2022. Another AHA survey shows that 84% of these organizations say the cost of complying with complicated payer policies is climbing. Providers throw an excessive amount of time and staff at chasing revenue, but reimbursement complexities make for anything but smooth financial sailing. How can healthcare providers even out the ebbs and flows of the revenue cycle? Experian Health's suite of revenue cycle management (RCM) solutions can help. Revenue cycle predictability during the life of a claim When it comes to finances, U.S. healthcare providers rarely have an easy go of it. Today, the average life of a claim is anything but average. From registration to collections, hospitals established a new normal over the past decade: Widening gaps between service delivery and reimbursement. How can providers tackle this untenable situation? The answer is two-fold: with technology and at each stage of the life of a claim. Here are three ways healthcare providers can use technology to create reimbursement predictability at each stage of a claim's life. 1. Establish payment accountability at patient registration with price transparency Reimbursement problems begin at patient registration. Healthcare price transparency demands patients understand the cost of care. According to Experian Health's State of Patient Access survey, 81% of patients agreed that an accurate estimate helps them better prepare to pay for their care costs. However, only 31% of patients received a cost estimate before care. There are three significant impacts of this troubling trend: Nearly 40% of patients say they put off needed care due to cost. The number rises to 61% if the patient is uninsured. Patients can't afford to pay for needed care. Currently, 41% of U.S. adults have medical debt. An Experian Health study showed four in 10 patients spend more than they can afford on healthcare treatment. Uncompensated care causes a significant drop in healthcare provider income, which has amounted to almost $745 billion, according to the AHA. Experian Health offers several data-driven solutions to improve price transparency. These tools make it easier for patients to handle their financial responsibilities while helping providers find solutions to help ease their burdens.Patient Financial Advisor creates more accurate service estimates for patients before their procedure. The mobile-first platform offers patients a detailed cost breakdown on their preferred digital device. Patient Estimates is a web-based platform offering real-time service estimates. Blessing Health System uses the tool to provide patient estimates that are up to 90% accurate. The provider increased collections by 58% and credits the software with a 1,200% return on their investment. Patient Access Curator automatically initiates communication with payers to improve coordination of benefits and maximize return. It also automatically identifies missing or incorrect Medicare Beneficiary Identifier (MBI) numbers or errors in patient contact details. This solution also helps providers understand the patient's ability and propensity to pay, allowing these organizations to predict revenue streams after service delivery. Behind the scenes, Experian Health also automates insurance eligibility verification to unlock hidden reimbursements. This software roadmaps the correct coverage, connects to more than 900 payers and verifies insurance coverage at the time of service to improve cash flow and ease patient payment burdens. 2. Reduce claim denials by decreasing manual paperwork errors Claim denials are one of the biggest impediments to revenue cycle predictability. Providers are stuck in an endless cycle of inaccurate payer submissions, rejected claims, and rebilling, creating a chaotic chase for payment long after the service. Today, 35% of healthcare organizations report $50 million or higher in lost revenue due to claims denials. Even worse, Experian Health's State of Claims 2022 report showed that 30% of providers say denials are increasing by up to 15%. According to that data, the top three reasons for claim denials are: Missing or incomplete prior authorizations. Failure to verify provider eligibility. Coding inaccuracies. Experian Health's Claim Scrubber software levels out provider cash flow, creating predictability amidst the chaos. The solution reviews complete claims for errors, generating actionable edits before submission. Claim Scrubber also reviews approved reimbursement rates to prevent undercharging. Transactions process within three seconds and providers reduce the need to rework claims. Experian Health's AI Advantage solution uses the power of artificial intelligence (AI) to evaluate every claim for its propensity to turn into a denial. Instead of submitting claims and hoping the payer will accept them, this solution takes the guesswork out of reimbursement for a more rational, predictable process. The software automatically scans for payer updates to reimbursement requirements that significantly contribute to claims denials. Hospitals like Schneck Medical Center use this tool to streamline the revenue cycle by preventing denials. After just six months, the provider’s denied claims reduced by an average of 4.6% each month. Claim corrections that took up to 15 minutes manually are now processed in less than five. 3. Increase collections efficiency with automation Patients trust their healthcare providers to take care of them. Providers also rely on patients to pay their bills. It's a mutually beneficial arrangement. However, it's also a problem forcing providers to walk a delicate tightrope between caring for a sick patient while still chasing payment for their services. Unfortunately, the increasing cost of healthcare leaves patients on the hook for more than $88 billion in debt. The volume of healthcare payments in arrears is staggering, causing a substantial drain on provider cash on hand. However, technology offers healthcare providers a way to improve the patient collections process. For example, Coverage Discovery impacts the revenue cycle at every stage of the claim: Before providing care, the software scans patient data to determine reimbursement coverage options from Medicaid, Medicare, and commercial insurance. It scans for active insurance 30, 60, and 90 days after care delivery. The tool scans patient data before determining whether the account moves to bad debt collections. A more robust understanding of patient payment options at every stage of claims management allows healthcare providers to forecast reimbursements more accurately, increasing the predictability of the revenue cycle. Collections Optimization Manager provides organizations with actionable insights, so that providers can segment and prioritize accounts by proprensity to pay. This solution increases patient collections by leveraging Experian's data driven segmentation models, and helps providers screen out bankruptcies, deceased accounts, Medicaid and other charity eligibility ahead of time. Experian Health's AI Advantage – Denial Triage prioritizes rejected claims based on their yield potential, automating workflows for claims managers so they focus first on the patients more likely to pay. This tool segments denials based on their potential value to help even out the revenue cycle with a faster rate of financial return. Denial Triage expedites A/R by increasing revenue collection per person per hour. Revenue cycles can be more predictable, but the complexities of reimbursement require technology to achieve this goal. Experian Health offers a comprehensive line of revenue cycle management solutions to help healthcare providers maximize collections and improve RCM. Find out why Experian Health ranks Best in KLAS for 2024 in the categories of Claims Management & Clearinghouse and Revenue Cycle: Contract Management, or contact us for a more predictable revenue cycle, better cash flow, and a healthier organization.

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.

Artificial intelligence (AI) and computer automation are finally beginning to impact healthcare. Payers are implementing generative AI to improve the customer experience. Researchers at Stanford use AI to review X-rays and detect pathologies in seconds. Today, AI and automation can remind patients about appointments and even provide a portion of their treatment via robotic surgery devices. While groundbreaking AI and automation technologies are in the news, adoption by the majority of healthcare providers has been slow despite research showing these tools could eliminate up to $360 billion in spending. It's a startling statistic that illustrates the reality of AI and automation applied to the revenue cycle: These tools quite literally can pay for themselves. The case for applying artificial intelligence and automation in healthcare Successful revenue cycles depend on thousands of daily tasks, which means efficiency lies at the heart of these endeavors. However, there are a lot of improvement to be made. Experian Health's State of Claims Survey 2022 shows the current state of the average healthcare revenue cycle: Reimbursement cycles are running longer. Claim errors are on the rise. Denials are increasing. More than one-half of U.S. hospitals reported financial losses in 2022. A 2023 America Hospital Report (AHA) report showed: 84% of hospitals admit the cost of complying with payer reimbursement requirements is increasing. 95% report spending more time on pursuing prior authorization approval. Over 50% of hospitals and health systems have more than $100 million tied up in A/R for claims six months old. These challenges stem from the increasing complexities of working with third-party payers, but also the by-hand human workflows embedded within provider revenue cycles. The State of Claims Survey 2022 showed that 61% of providers say they rely too heavily on manual processes and lack the automation they need to streamline reimbursement. As costs rise and revenue cycles tighten, there is increasing pressure to do more with less—faster. However, chronic healthcare staffing shortages have only exacerbated how hard it is for providers to get paid. Technology solves many of the problems plaguing healthcare's revenue cycle. AI and automation offer better revenue cycle management tools with fewer errors, less manual work, and more streamlined processes. How AI and automation improves revenue cycles Increasingly complicated reimbursement processes are the perfect testing ground for new technologies. These tools can improve the revenue cycle from the first point of patient contact to collections long after the procedure is over. For example, AI and automation software can greatly reduce errors and increase the accuracy of claims information before submission. When billing becomes more accurate, it lessens the volume of rejected claims, which take up an inordinate amount of staff resources and lengthen the time from service delivery to reimbursement. But AI and automation also impact the backend of the patient encounter by helping collections teams prioritize accounts most likely to pay. Four applications for AI and automation in the revenue cycle include: 1. Applying automation to patient registration The revenue cycle begins at patient registration, and that's also where providers can begin to apply technology to increase cash flow downstream. Patient registration is often cumbersome, an in-person process tied to a clipboard, paper, and open office hours. Yet Experian Health's State of Patient Access 2023 report shows that 73% of patients want to handle these processes online. Self-scheduling offers patients more flexibility for scheduling appointments when they want and on their preferred digital device. It can remove the friction from a frustratingly manual paperwork process while decreasing no-shows with automated messaging by text and email. Experian Health's automated patient scheduling software reduces time spent on traditionally manual scheduling tasks by 50%. Providers that select these tools increase their patient show rate to nearly 90%. From a revenue cycle perspective, providers that implement online self-service scheduling can see up to 32% more patients each month—which is money in the bank. 2. Finding hidden financial resources to reduce bad debt Experian Health's Coverage Discovery® automates the insurance verification process to match patients' responsibility with the best financial resources possible given their policy limits. Coverage Discovery scans proprietary databases and historical information for primary, secondary, and tertiary coverage. The platform seeks to find all available financial resources to lower the volume of accounts that end up as write-offs or in collections. In 2022, Coverage Discovery found $64.6 billion in patient coverage. In 2023, this software discovered previously unknown financial options for 32.1% of patient accounts, giving these customers more options for reducing debt. 3. Preventing denials by improving data quality Many claims are rejected by payers each day simply due to human error. Some of the most common reasons for claims errors include missing or inaccurate information caused by manual processes. From eligibility verification errors to incorrect insurance details, when paperwork is still by hand and this complex, it's far more likely to make an error than not. Experian Health's Patient Access Curator software automatically verifies eligibility and coverage while scanning patient documentation for obsolete or inaccurate data. The software leverages artificial intelligence and robotic process automation (RPA) to apply computer rigor to previously manual workflows to reduce manual errors. Significantly, this new technology performs these tasks in seconds, freeing up staff time and improving the patient experience. 4. Using artificial intelligence to prevent and mitigate denials How much does the endless pursuit of denials management tie up potential revenue? One survey showed half of hospitals report more than $100 million in delayed or unpaid claims at least six months old. The good news is that 85% of the errors that lead to denied claims are preventable with the help of existing technology. Experian Health's AI Advantage™ solution works in two critical areas to prevent denials before they happen—and correct any denied claims quickly: At the front end of the claim, by correcting errors before submission. AI Advantage - Predictive Denials spots the submissions most likely to kick back from the payer. This early warning system reduces the volume of denials by flagging claims with errors stemming from human mistakes or payer requirements changes. At the back end of the claim, for those rejected by the payer. AI Advantage - Denial Triage takes the volume of claims rejections and prioritizes them by those with the highest ROI for the provider organization. Not all denials offer the same volume or potential for revenue collection. This solution helps prioritize the highest returns quickly to increase revenue collection. Benefits of applying AI and automation to healthcare's revenue cycle There is little argument across the healthcare industry that the strategies that once worked to create a healthy revenue cycle still apply. Fortunately, today's AI and automation software allow these organizations to modernize their approach to these complexities—and win the revenue cycle game. The benefits of applying modern AI and automation tools at every point of the revenue cycle are substantial: Faster and more accurate patient scheduling and registration. No more manual data searches that tie up staff time. Fewer data entry tasks that lead to errors. Fewer claim denials. Less time spent chasing claims. Fewer days in A/R. More cash on hand. A high-performing revenue cycle is possible with the latest technology tools. Experian Health offers a suite of technology solutions that utilize artificial intelligence and automation designed to get providers paid faster, free up staff time, and improve the patient experience. Improving the revenue cycle is a necessity, and Experian Health helps healthcare organizations achieve this goal.

As the saying goes, “what gets measured gets managed.” For healthcare providers, this is a reminder that optimizing the revenue cycle relies on monitoring and reporting on the right metrics. Claims, billing and collections teams will struggle to know which of their activities lead to improvements if they don't track key performance indicators (KPIs). The question, then, is how to choose the right KPIs. How can providers gain more visibility into their financial performance? Where are the pitfalls that limit the usefulness of the data? This article looks at how revenue cycle managers may find more opportunities to prevent revenue leakage by building a healthcare revenue cycle KPI dashboard populated with the right medical billing metrics. What is a revenue cycle KPI dashboard? A revenue cycle or medical billing KPI dashboard is part of a revenue cycle management (RCM) platform. It enables real-time visibility into metrics regarding billing and revenue and is customizable based on the KPIs that matter to each healthcare organization. It centralizes critical information related to patient access, healthcare collections, claims management and payer contract management. Challenges and pain points in revenue cycle management The first step in selecting the most relevant KPIs for a revenue cycle dashboard is to identify and understand the thorniest RCM challenges that could be causing dollars to slip through the net. Here is a run-down of some of the biggest obstacles to effective RCM and possible performance measures that may help track improvements: 1. Inefficient patient access for scheduling and registration Revenue cycle management begins in patient access. Unfortunately, so do many of the errors and inefficiencies that lead to claim denials and missed payment opportunities. Confusing and disjointed scheduling systems can lead to underutilization of services and no-shows, as well as falling short of consumer expectations for online booking methods.Online self-scheduling tools make it easier for patients to book appointments so they can start their healthcare journey quickly and conveniently. Cancelled appointment slots can be offered to other patients, to maximize clinician time. Here, it would be useful to track the percentage of unfilled appointments: an increase over time would suggest that patients are finding it easier to book appointments, and confirm better use of doctors' hours.Similarly, digital registration options can quell the frustrations that many patients feel when trying to fill out forms ahead of treatment. No-show rates, percentage of patients using online tools, registration error rates and patient satisfaction scores would all be relevant KPIs. 2. Claims and denial management processes that rely too heavily on manual work From checking payer updates to poring over billing codes, claims management workflows often involve manual tasks that put unwelcome pressure on already-overwhelmed staff. There are many opportunities for errors, which drive up denials and put the brakes on the organization's cash flow. An increase in clean claim rate and a reduction in the rate of denials would be KPIs to look for on the revenue cycle dashboard. An end-to-end claims management solution that uses automation and artificial intelligence (AI) to improve accuracy and lift the load on staff can alleviate these challenges. For example, AI Advantage™, leverages AI to predict and prevent denials using the organization's own historical claims data. 3. Patient collections practices are often inconsistent Patient responsibility for healthcare costs is higher than ever, so the consequences of poor billing practices are severe. Experian Health's State of Patient Access 2023 report found that 63% of providers believe patients frequently postpone care because they're worried about costs. If patients are unsure about what they owe, unable to find financial assistance, or unclear about how and when to pay, the provider is likely to see their accounts receivable metrics and collection rates heading in the wrong direction. Clear bills and convenient ways to pay are key to optimizing patient collections. Collections Optimization Manager supports better financial decision-making for both patients and providers by screening, segmenting and routing accounts based on payment probability. Users get tailored support from an experienced optimization consultant to select the right KPIs and turn insights into effective action. 4. Actionable insights are often out of reach RCM analysts may have a wealth of information to interrogate, but they are often tripped up by disparate systems and legacy processes. Critical information in patient access, collections, claims management and payer contract management may be held in different systems and formats, which makes it much harder to see connections. With revenue cycle analytics tools, providers can make sense of the information they hold, rather than drowning in data. A revenue cycle or medical billing dashboard can enable real-time visibility into the KPIs that matter most while tracking changes over time. What are KPIs for RCM?  Revenue cycle KPIs are quantifiable measures that illustrate the financial viability of an organization's revenue cycle. These metrics indicate if healthcare organizations are achieving their financial goals and are effectively managing revenue inflows and outflows. Specific KPIs will be tailored to the organization's particular goals, challenges and processes. The quality and availability of relevant data will also play into the selection process, to maximize visibility and insights into the revenue cycle. In addition to the suggested metrics discussed above, other common KPIs to feature in a revenue cycle dashboard include: Days in account receivable Aged accounts receivable rate Adjusted collection rate Clean claim rate Claim denial rate Claim appeal rate Bad debt rate Gross collection rate Net collection rate Importance of healthcare revenue cycle KPI dashboards A  revenue cycle KPI dashboard is more than just a handy way to present data. Monitoring an organization's financial health is critical to its ability to serve patients and attract and retain high-performing employees. A healthcare revenue cycle dashboard can enable providers to: Identify if revenue levels are sufficient to keep the organization afloat and know in advance if new strategies are needed to maintain cash flow Locate glaring operational efficiencies in RCM that are costing the organization time and money Forecast future revenue projections to determine the organization's ability to expand and invest Improve all financial decision-making through better use of data that is already being collected Boost patient satisfaction by highlighting opportunities to create a more convenient and transparent financial experience. Driving efficiency and success through RCM solutions Once the revenue cycle KPI dashboard is built, RCM teams can get to work on implementing the specific actions needed to tackle those thorny issues discussed above. With Experian Health's integrated RCM solutions, providers can bring together metrics such as financial performance, billing efficiency and collections rates into one place, to allocate resources more strategically, drive targeted improvements, and accelerate reimbursement. And with these insights, providers are not just managing revenue – they are optimizing for future financial stability. See how Experian Health's revenue cycle management solutions, dashboards and drill-down reports can uncover opportunities to prevent revenue loss and boost profitability.

By all forecasts, the healthcare worker shortage isn't going away. More than 80% of healthcare executives admit talent acquisition is so challenging it puts their organizations at risk. The latest survey from Experian Health shows complete agreement across the industry—the inability to recruit and retain staff hampers timely reimbursements. The side effects of the healthcare worker shortage are increased errors, staff turnover, and lower patient satisfaction. With the healthcare worker shortage becoming a chronic red flag on the list of industry challenges, is throwing more revenue at hiring the best answer? Experian Health's new report, Short-staffed for the long term, polled 200 healthcare revenue cycle executives to find out the effects of the continuing healthcare worker shortage on the bottom line. Respondents unanimous agreed that healthcare's recruitment problem is limiting their ability to get paid. Could investing in better revenue cycle technology to automate manual human functions be the answer to the healthcare recruiting dilemma? Effect of the healthcare worker shortage on healthcare revenue cycle Result 1: Providers losing money and patient engagement simultaneously. 96% of respondents said the healthcare worker shortage negatively impacts revenue. 82% of survey participants said patient engagement suffers when providers are short-staffed. Experian Health's latest survey showed almost unanimous agreement that the revenue cycle suffers significantly when providers are short-staffed. The only area of disagreement among revenue cycle leaders is whether patient collections or payer reimbursements are affected the most by the industry's lack of human talent. As revenue cycle teams struggle to cover their workload, the need for speed increases manual error rates. The Experian Health survey showed that 70% of revenue cycle teams say healthcare worker shortages increase denial rates. This finding reinforces an earlier survey showing nearly three of four healthcare executives place reducing claims denials as their top priority. As errors snowball, patient engagement and satisfaction begin to decline. Data entry errors impact claims submissions, resulting in billing mistakes that confuse and frustrate patients. Data errors often start at patient registration and persist through claims submission, creating denial reimbursement snarls and tying up cash flow. With the average denial rate above 11%, that's one in every 10 patients facing uncertainty around whether their bill will be paid. What's worse is that Experian Health's State of Claims Report shows denial rates increasing. While providers are leaning into increasing recruiting efforts to find the employees they need, is staffing up even possible in an era of chronic labor shortages? Technology offers healthcare providers new ways to handle revenue cycles without hiring more staff. For example, patient access software reduces registration friction, where up to 60% of denied claims start. Patient scheduling software automates access to care and gives customers greater control over their healthcare journey. It's a digital front door that engages patients with online options for managing care. On the backend of the revenue cycle, automation also offers a way to decrease reliance on manual labor to handle claims submissions. Automating clean claims submissions alleviates the denials burden, freeing up staff time and provider revenue streams.  Result 2: Staffing shortages heavily impact payer reimbursement and patient collections. 70% of those saying payer reimbursement has been affected the most by staff shortages also agree that escalating denial rates are a result. 83% of those saying patient collections have been affected most by staff shortages also agree that it’s now harder to follow up on late payments or help patients struggling to pay. Addressing healthcare staffing shortages is crucial for providing quality patient care, maintaining financial stability, and maximizing reimbursement in the complex healthcare reimbursement landscape. Staff shortages lead to reduced productivity within healthcare facilities, and existing teams may need to take on extra work to fill the gap. Overworked staff may be more prone to errors, leading to claims denials. Medical Economics says manual collections processes suffer due to the healthcare worker shortage. They state, “Mailed paper statements and staff-dependent processes are significantly more costly than electronic and paperless options, yet the majority of physicians still primarily collect from patients with paper and manual processes.” Technology exists for self-pay receivables that allow patients easy online payment options. Experian Health's Collections Optimization Manager offers powerful analytics to segment and prioritize accounts by their propensity to pay and create the best engagementstrategy for each patient segment. Advocate Aurora Healthcare took control of collections by using this tool and automated their collections processes, so that existing staff could focus on working with the patients who had the resources to handle their self-pay commitments. The software's automation and analytics features allowed the provider to experience a double-digit increase in collected revenues annually. Patients also benefit from collections optimization software. For example, Kootenai Health qualifies more patients for charity or other financial assistance with Experian Health's Patient Financial Clearance solution. In addition to automating up to 80% of pre-registration workflows, the software uses data-driven insights to carve out the best financial pathway for each patient. It's a valuable tool for overburdened revenue cycle teams that struggle to collect from patients. Kootenai Health saved 60 hours of staff time by automating these manual payment verification processes. Result 3: Recruiting alone isn't solving the healthcare worker shortage. Healthcare hiring is a revolving door, with 80% reporting turnover as high as 40%. 73% said finding qualified staff is a significant issue. A significant contributor to the healthcare worker shortage is the grim reality that these organizations are losing human resources to burnout and stress. Being short-staffed drags down the entire organization, from the employed teams to the patients they serve. But it's impossible for recruiting alone to fix the problem when more than 200,000 providers and staff leave healthcare each year. A recent study suggests that if experienced workers continue to leave the industry, by 2026, more than 6.5 million healthcare professionals will exit their positions. Only 1.9 million new employees will step in to replace them. The news worsens with the realization that nearly 45% of doctors are older than 55 and nearing retirement age. Artificial intelligence (AI) and automation technology in healthcare can cut costs and alleviate some of the severe staff burnout leading to all this turnover. However, one-third of healthcare providers have never used automation in the revenue cycle. A recent report states that providers could save one-half of what they spend on administrative tasks—or close to $25 billion annually—if they leveraged these tools. For example, Experian Health's Patient Access solutions can automate registration, scheduling and other front-end processes. AI can also help increase staff capacity and output without adding work volume. Experian Health's AI Advantage™ solution works in two critical ways to help stretch staff and improve their efficiency: The Predictive Denials module reviews the provider's historical rejection data to pinpoint the claims most likely to bounce back before they are submitted. The tool allows the organization to fix costly mistakes before submission, eliminating the time spent fighting the payer over a denial. The claims go in clean, so the denial never happens. The revenue cycle improves, saving staff time and stress. Denial Triage focuses on sorting denied claims by their likelihood to pay out. The software segments denied claims by their value so internal teams focus on remits with the most positive impact on the bottom line. Instead of chasing denials needlessly, this AI software allows revenue cycle teams to do more by working smarter. Revenue cycle technology to fill healthcare worker shortage gaps There is no question that the healthcare worker shortage is causing a significant burden on patients and providers. Experian Health's Short-staffed for the Long Term report illustrated the effect of this crisis on the healthcare revenue cycle, patient engagement, and worker satisfaction. Technology can solve staffing challenges by allowing the healthcare workers we do have to spread further and work more efficiently. AI and automation technology in healthcare can cut costs, alleviate staff burnout and can even help healthcare providers retain their existing workforce. By implementing these new solutions, healthcare providers can help stop the bleeding of existing staff that contributes to the healthcare worker shortage, while improving the efficiency of the revenue cycle. These tools save time and money and improve the lives of everyone touched by the healthcare industry. Contact Experian Health to see how your healthcare organization can use technology to help eliminate the pressures of the healthcare worker shortage.

Racing against the clock to troubleshoot billing issues, claims bottlenecks and staffing shortfalls are just part of an average day for healthcare revenue cycle managers. It's hard enough to maintain the status quo, never mind driving improvements in denial rates and net revenue. With integrated artificial intelligence (AI) and automation, many of these challenges in revenue cycle management (RCM) can be alleviated – and with just a single click. Real-time coverage discovery and coordination of benefits software reduces errors and accelerates accurate claim submissions. This eases pressure on busy RCM leaders, so they have the time to focus on improving the numbers that matter most. Top challenges in revenue cycle management Efficiency is the currency of revenue cycle management. Maximizing resources is not just about keeping dollars coming in the door but about making the best use of each team member's time and expertise. The ever-present call to “do more with less” is probably the biggest challenge. Breaking that down, some specific concerns that consume more time and resources than RCM managers would like, are: Complex billing procedures: With hundreds of health payers operating in the US, each offering different plans with different requirements, providers have their work cut out to ensure claims are coded and billed correctly. Any errors in verifying a patient's coverage, eligibility, benefits, and prior authorization requirements can lead to delays and lost revenue. More claim denials: Inaccurate patient information and billing codes guarantee a denial. Beyond the rework and revenue loss, denied claims leave patients with bills that should not be their responsibility to pay, causing confusion, frustration, and higher levels of bad debt. Garbage in, garbage out. Patient payment delays: A few years back, patients with health insurance represented about a tenth of bills marked as bad debt. Now, this group holds the majority of patient debt, according to analysts. The rise in high-deductible health plans combined with squeezed household budgets means patients are more likely to delay or default on payments. Providers must be on the lookout for ways to help patients find active coverage and plan for their bills to minimize the impact of these changes. How can AI-powered revenue cycle management solutions help? The Council for Affordable Quality Healthcare (CAQH) annual index report demonstrates how much time can be saved using software-based RCM technology. Case in point: switching from manual to automated eligibility and benefits verification could save 14 minutes per transaction. This adds up quickly when daily, monthly, and yearly transactions are factored in. Predictive analytics can be used to pre-emptively identify and resolve issues and support better decision-making, giving providers a head start on those elusive efficiency gains. Three specific examples of how automation, AI and machine learning can streamline the front-end and solve challenges in revenue cycle management are as follows: 1. Upfront insurance discovery to find and fill coverage gaps Confirming active coverage across multiple payers gives patients and providers clarity about how care will be financed. But this can be a resource-heavy process when undertaken manually. Coverage Discovery uses automation to find missing and forgotten coverage with minimal resource requirements. By unearthing previously unidentified coverage earlier in the revenue cycle, claims can be submitted more quickly for faster reimbursement and fewer write-offs.With Experian Health's recent acquisition of Wave HDC, clients now have access to faster, more comprehensive insurance verification software solution. The technology works autonomously to identify existing insurance records for patients with self-pay, unbillable, or unspecified payer status and correct any gaps in the patient's coverage information. The patient's details are updated automatically so that a claim can be submitted to the correct payer. 2. Real-time eligibility verification and coordination of benefits As it gets harder to figure out each patient's specific coverage details, it also makes sense to prioritize automated eligibility verification. Eligibility Verification uses real-time eligibility and benefits data to confirm the patient's insurance status on the spot.Similarly, Wave's Coordination of Benefits solution, now available to Experian Health clients through Patient Access Curator, integrates directly into registration and scheduling workflows to boost clean claim rates. It automatically analyzes payer responses and triggers inquiries to verify active coverage and curate a comprehensive insurance profile. This means no insurance is missed, and the benefits under each plan can be coordinated seamlessly for more accurate billing. 3. Predictive denials management to prevent back-end revenue loss Adding AI and machine learning-based solutions to the claims and denials management workflow means providers can resolve more issues pre-claim to minimize the risk of back-end denials. Use cases for AI in claims management might include: Automating claims processing to alleviate staffing shortages Reviewing documentation to reduce coding errors Using predictive analytics to increase operational efficiency Improving patient and payer communications with AI-driven bots All of these contribute to a front-loaded denials management strategy. While prevention is often better than a cure, AI can be equally effective later in the process: AI AdvantageTM arms staff with the information they need to prevent denials before they occur and work them more efficiently when they do.Whatever new challenges may pop up on the RCM horizon, AI and automation are already proving their effectiveness in helping providers save time and money. But more than that, they're giving busy RCM leaders the necessary tools to start future-proofing their systems for persistent and emerging RCM challenges. Learn more or contact us to find out how healthcare organizations can use AI and automation to manage current revenue cycle management challenges with a single click.

Today, U.S. healthcare providers struggle with three significant challenges affecting care delivery—each resulting from chronic healthcare workforce shortages. Ultimately, these challenges threaten the fiscal health of the country's most critical care safety nets. Over 80% of the healthcare C-suite say the chronic staffing shortage creates significant risk for their organizations. The effects of healthcare staffing shortages are severe - Experian Health's recent survey of revenue cycle leaders found these executives unanimously agreed that staffing shortages impact cash flow, patient engagement, and the work environment of their current staff. Experian Health’s new survey, Short Staffed for the Long-Term, polled 200 revenue cycle employees to determine the effects of healthcare staffing shortages on patients, the workforce, and their facilities. What did these teams say about the healthcare workforce shortage and the state of care delivery? Find out by downloading the full report. Healthcare providers experience a vicious cycle, and the effects of healthcare staffing shortages can be seen in many different areas. For example, it makes it harder for existing team members to register patients on the front end of the encounter. On the back end, revenue cycle staff face higher workloads and stress leading to preventable reimbursement claims errors and missed collections opportunities. Ultimately, that stress leads to staff turnover, exacerbating the healthcare workforce shortage. This article dives into three effects of healthcare staffing shortages and how providers can combat them. Result 1: Short-staffed providers struggle with reimbursement and cash flow. 70% of respondents who say staff shortages affect payer reimbursement also report escalating denial rates. 83% report it's harder to follow up on late payments or help patients struggling to pay their bills. Costs are up, and cash flow is down. Claims denials are increasing by 15% annually. Reimbursement rates continue to decline even as denials rise and patient debt increases. These are the revenue cycle challenges healthcare providers face on top of the chronic healthcare staffing shortage. Healthcare organizations must look for new ways to improve reimbursements while engaging patients and staff to benefit everyone involved. Experian Health's Short Staffed for the Long-Term report noted two of the most significant revenue channels for healthcare providers, claims reimbursement and collections, are experiencing significant challenges. Reimbursement denials tie up cash flow in an endless cat-and-mouse game of revenue collection. HealthLeaders termed 2023 as, “the year of reducing denials for revenue cycle.” Their statistics further reinforce Experian Health data correlating increasing denial rates with the healthcare staffing shortage. Simultaneously, healthcare providers find it harder to collect from patients. High self-pay costs lead to lower patient collection rates. One study showed patient collections declining from 76% in 2020 to 55% in 2021. Providers desperately need a more patient-centered collections process that helps these customers understand their cost obligations and payment options. Integrating automated collections solutions can also help providers do more with less. Healthcare stakeholders must collaborate to devise innovative solutions that prioritize workforce augmentation and streamline financial workflows. Technology can solve these problems by automating manual revenue cycle processes that lead to delayed reimbursements. New solutions that use artificial intelligence (AI) software can help in other areas (like claims denials) to save staff time and reduce workloads. Result 2: A lack of staff directly impacts successful patient engagement. Surveyed staff say 55% of patients experience engagement issues at scheduling and intake. 40% say patient estimates suffer, leading to potential miscommunications in credit and collections. Experian Health's The State of Patient Access, 2023: The Digital Front Door reported patients and providers believe healthcare access is worsening. 87% of providers in the survey blamed the effects of healthcare staffing shortages. Earlier data from ECRI shows patients wait longer for care, and nearly 50% of providers say access is worse. Over 100 academic studies in the past two decades confirm the correlation between poor patient health outcomes and industry staff shortages. Existing staff members may take on heavier workloads to cover gaps in patient care. The resulting fatigue can impact the quality of care delivery. When healthcare organizations are short-staffed, each team member may spend less time with patients, resulting in rushed assessments and potentially missed diagnoses. Staff shortages can impact every phase of the patient journey, beginning with patient scheduling and potentially delayed essential medical services. On the backend, patients suffer when the pressure staff members feel to work faster causes preventable errors leading to healthcare claim denials. Collections suffer, as frustrations mount, and healthcare staff waste time on patients who are simply unable to pay. The adverse effects of staffing shortages in healthcare weaken with technology to improve the patient experience at every stage of their encounter. Better technology lessens the burden of care for staff by automating mundane administrative tasks so every provider can focus on serving patients—not filling out forms. Improving patient engagement starts at the beginning of the healthcare encounter. For example, patient scheduling software can create a seamless online experience that halves appointment booking time. More than 70% of patients say they prefer the control these self-scheduling portals offer, putting access to care back in their hands. Patient payment estimation software creates much-needed healthcare price transparency, improving satisfaction by eliminating financial surprises after treatment. These solutions, combined with automated revenue cycle management software, can streamline healthcare processes and improve patient experiences. Result 3: Overwork is the norm as staff work environments decline and turnover increases. 37% of survey respondents report issues with staff burnout. 29% list the departure of experienced staff as one of their top challenges. Whether in frontend care delivery or backend revenue cycle, overworked and stressed healthcare professionals are more susceptible to making mistakes, diminishing the overall quality of the patient experience. The attention to detail, a critical component in a complex, high-stakes business, may be compromised due to the strain on the existing staff. When a healthcare organization is short-staffed, it increases the stress on the existing employees. In turn, this contributes to higher turnover rates. Job dissatisfaction and increased stress levels create a challenging work environment, perpetuating the cycle of staffing shortages. Recruiting and training new staff to fill these gaps further exacerbate the strain on existing teams. One area that is critically impacted by staffing shortages is seen in claims management, as claim denials continue to increase, which cost American healthcare providers an estimated 2.5% of their gross revenues annually. Billions of reimbursement dollars logjam in the endless cycle of claims submissions, rejections, and manual mitigations. In 2022, the cost of denials management increased by 67%. Revenue cycle staff, stretched to their limits by staffing shortages, will likely continue to make preventable mistakes during patient intake and claims submission. However, automating claims management with a solution like ClaimSource® can help lower denial rates and ease this burden.  This solution delivers increased operational efficiencies and effectiveness by prioritizing claims, payments and denials so that users can work the highest impact accounts first. Other solutions, like Claim Scrubber, can improve claim accuracy before submission, by submitting clean and accurate claims every time. These technologies enable healthcare providers to reduce claims denials while relieving some of the terrible pressure felt by their financial teams to work harder and faster. By automating clean claims submissions, healthcare organizations free up their teams to focus on taking better care of patients—and themselves. Healthcare staffing shortages + manual revenue cycle = Unsustainability What happens to a process that heavily relies on human labor—when there aren’t enough people to go around? In the case of the healthcare revenue cycle, it means staffing shortages heavily impact a hospital's ability to collect revenue. Medical Economics reports that 78% of providers still conduct patient collections with traditional paper statements or other manual processes. In an era of talent shortages, these manual processes bog down the entire organization with no relief in sight. Overwork leads to burnout, a significant problem in the industry that also contributes to staff turnover. But this is exactly how digital technology can solve the healthcare staffing shortage. While AI and automation can’t help providers find the staff they need, it can eliminate manual tasks and reduce errors that lead to more work, staff burnout, and patient care disruption. McKinsey says automation can eliminate approximately half of the activities employees now perform. It could considerably improve the work environments for revenue cycle staff, allowing them to focus on high-value tasks, and engage patients in more caring and personalized experiences. Experian Health offers providers proven technologies to increase revenue, improve patient care, and lessen the strain on existing staff, to combat the effects of healthcare staffing shortages. Contact Experian Health today to get started.