Tag: ai advantage predictive denials

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 This outdated approach to authorization not only consumes time and money but also creates opportunities for missing or incomplete prior authorizations, increasing claims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.

“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.

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.

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.

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.

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.

Like many other sectors, healthcare providers are increasingly turning to automation and artificial intelligence (AI) to get more accurate data and better insights. However, the pace of change is somewhat slower in healthcare, due to legacy data management systems and data silos. As efforts to improve interoperability progress, providers will have more opportunities to deploy AI-based technology in innovative ways. This is already evident in claims management, where executives are keeping an ear to the ground to learn of new use cases for AI to help maximize reimbursements. This article looks how AI and automation can help providers address the problem of growing denials, and how Experian Health's new solution, AI Advantage™, is helping one particular provider use AI to reduce claim denials. Using AI and automation to address the claims challenge Experian Health's 2022 State of Claims survey revealed that reducing denials was a top priority for almost three quarters of healthcare leaders. Why? High patient volumes mean there are more claims to process. Changing payer policies and a changing payer mix layer on complexity. Labor shortages mean fewer hands on deck to deal with the workload, while rising costs and tighter margins mean the stakes are higher than ever. Manual claims management tools simply cannot keep up, resulting in lost time and revenue. Automation and AI can ease the pressure by processing more claims in less time. They give providers better insights into their claims and denial data, so they can make evidence-based operational improvements. AI tools achieve this by using machine learning and natural language processing (NLP) to identify and learn from patterns in data, and synthesizing huge swathes of data to predict future outcomes. While AI is ideal for solving problems in a data-rich environment, automation can be used to complete rules-based, repetitive tasks with greater speed and reliability than a person might be able to achieve. Discovering new use cases for AI in claims management Providers are finding new applications for AI as utilization becomes more widespread. Some examples of different use cases include: Automating claims processing to alleviate staffing shortages: AI tools can use natural language processing (NLP) to extract data from medical records and verify accuracy before adding the information to claims forms. This saves staff significant amounts of time and effort. Augmenting staff capacity and creating an efficient working environment can also help with recruitment and retention. Reviewing documentation to reduce coding errors: AI can perform the role of a “virtual coder,” using robotic process automation and machine learning to sift through medical data and suggest the most appropriate codes before claims are submitted. Using predictive analytics to increase operational efficiency: One of the most effective ways to improve claims management is to review and learn from past performance. AI can analyze patterns in historical claims data to predict future volumes and costs, so providers can plan accordingly without simply guessing at what's to come. Improving patient and payer communications with AI-driven bots: The claims process requires large amounts of data to be exchanged between providers, payers and patients. AI-driven bots can be used to take care of much of this, for example by automatically responding to payers' requests for information during medical necessity reviews, or handling basic inquiries from patients. Case study: How Community Medical Centers uses AI Advantage to predict and prevent claims denials Community Medical Centers (CMC), a non-profit health system in California, uses Experian Health's new solution, AI Advantage, which uses AI to prevent and reduce claim denials. Eric Eckhart, Director of Patient Financial Services, says they became early adopters to help staff keep up with the increasing rate of denials, which could no longer be managed through overtime alone. “We were looking for something technology-based to help us bring down denials and stay ahead of staff expenses. We're very happy with the results we're seeing now.” AI Advantage reviews claims before they are submitted and alerts staff to any that are likely to be denied, based on patterns in the organization's historical payment data and previous payer adjudication decisions. CMC finds this particularly useful for addressing two of the most common types of denials: those denied due to lack of prior authorization, and those denied because the service is not covered. Billers need up-to-date knowledge of which services will and will not be covered, which is challenging with high staff turnovers. AI Advantage eases the pressure by automatically detecting changes in the way payers handle claims and flagging those at risk of denial, so staff can intervene. This reduces the number of denials while facilitating more efficient use of staff time. Eckhart says that within six months of using AI Advantage, they saw 'missing prior authorization' denials decrease by 22% and 'service not covered' denials decrease by 18%, without any additional hires. Overall, he estimates that AI Advantage has helped his team save more than 30 hours a month in collector time: “Now I have almost a whole week a month of staff time back, and I can put that on other things. I can pull that back from outsourcing to other follow-up vendors and bring that in house and save money. The savings have snowballed. That's really been the biggest financial impact.” Hear Eric Eckhart of Community Medical Centers and Skylar Earley of Schneck Medical Center discuss how AI Advantage improved their claims management workflows. AI AdvantageTM: two steps to reducing claim denials AI Advantage works in two stages. Part one is Predictive Denials, which uses machine learning to look for patterns in payer adjudications and identify undocumented rules that could result in new denials. As demonstrated by CMC, this helps providers prevent denials before they occur. Part two is Denial Triage, which comes into play when a claim has been denied. This component uses advanced algorithms to identify and segment denials based on their potential value, so staff can focus on reworking the denials that will make the biggest impact to their bottom line. At CMC, denials teams had previously focused on high value claims first, but found that smaller payers sometimes made erroneous denials that could add up over time. AI Advantage helped root these out so Eckhart's team could resolve the issue with payers. Integrated workflows reveal new applications for AI and automation AI Advantage works within ClaimSource®, which means staff can view data from multiple claims management tools in one place. In this way, AI Advantage fits into the same workflow as tools that providers may already be using, such as Claim Scrubber, Enhanced Claim Status and Denials Workflow Manager. These integrations amplify the benefits of each individual tool, giving healthcare providers better insights into their claims and denials data. With richer data, organizations will find new ways to leverage AI to increase efficiency, reduce costs and boost revenue. Discover how AI Advantage, Experian Health's new claims management solution, can help providers use AI to reduce claim denials.

The media has extensively covered the healthcare workforce shortage and its impact on patient care. It's a chronic, dangerous problem that seems to worsen, despite the industry's efforts to staff up. A recent Experian Health survey found severe and long-term implications for revenue cycle management and its impact on provider and patient care. 100% of revenue cycle leaders surveyed agree the pervasive healthcare workforce shortage impacts their facility's ability to get paid. The problem isn't going away; most survey participants (69%) expect recruiting challenges to continue. Furthermore, nine of 10 survey participants admit to a double-digit turnover rate. However, the shortage of qualified labor is impacting healthcare in other areas beyond patient outcomes. The report shows the bottom line is clear: The healthcare workforce shortage impedes the industry's ability to get paid. How can providers solve this? Experian Health's survey, “Short Staffed for the Long-Term,” polled 200 revenue cycle executives to understand the impact of the hiring deficit's impact on provider cash flow. Survey Finding #1: Staffing shortages impede payer reimbursements and patient collections. 32% of survey participants said patient collections is the revenue cycle channel most impacted by healthcare workforce shortage. 22% said payer reimbursements are most affected by staff shortages. 43% said both channels were equally impactful to the healthcare revenue cycle. There was little disagreement in the survey around whether provider revenue cycle suffers from a lack of qualified staff. The debate centered on which reimbursement channel took the biggest hit. Experian Health's staffing survey revealed revenue cycle executives agree that collecting late patient payments is much more complicated now. The worker shortage impedes the ability to manage this process. In an era when many patients put off care due to high out-of-pocket costs, maximizing collections is more important than ever. Short-staffed, overworked healthcare collections teams require the time and tools to optimize the collections process by identifying the accounts more likely to pay. Patient collections teams could also benefit from software that finds financial assistance that could ease self-pay burdens. Collections Optimization Manager saves staff time by automatically determining the most suitable patient collections approach. The University of San Diego California Health (UCSDH) uses this software to segment patients by propensity to pay. It allows collections agents a more efficient, personalized approach to improve the revenue cycle and the patient relationship. From 2019 to 2021, UCSDH increased collections from $6 million to more than $21 million with this solution. Patient Financial Clearance automates screening prior to service or at the point of-service to determine if patients qualify for financial assistance, Medicaid, or other assistance programs. Kootenai Health leverages the software, which increased the accuracy of determining patient financial assistance by 88%, and saved 60 hours of staff time through automation. Together, these tools can ease the healthcare workforce shortage by optimizing and streamlining collections. Survey Finding #2: The healthcare workforce shortage contributes to increasing denial rates. 70% say escalating staff shortages increase claims denials. 92% report new staff member errors are a significant factor in delayed or declined reimbursement. Today, healthcare providers are seeing claim denials increase by 10 to 15% year over year. A lack of qualified revenue cycle staff costs billions annually in preventable revenue cycle errors. 35% of healthcare leaders admit losing more than $50 million yearly on denied claims. The complexities of the revenue cycle particularly challenge new staff; 92% of survey respondents say errors are common. Denied claims ripple across the revenue cycle, tying up staff time and provider cash flow. Ultimately, it is patients and staff who suffer. When hospitals experience restricted cash flow, it can hamper their ability to effectively deliver the highest quality care. When staff stretch to their limit due to the healthcare workforce shortage, they may make more errors, burnout, or quit. Automating the claims process is a necessity in this challenging environment. Tools like ClaimSource® and Claim Scrubber can catch errors before submission, reducing undercharges and denials. Franklin Healthcare Associates, a 100-provider, four-location practice, used Claim Scrubber to reduce accounts receivable (A/R) by 13%. As claims volume grew, the practice decreases its full-time employee (FTE) requirements by leveraging this automated tool. It's one clear example of how technology can stretch staff farther to improve the bottom line. Survey Finding #3 Staffing deficits aren't going away. Close to 70% of respondents believe revenue cycle staffing levels will continue as a problem into the future. Staff turnover is a contributing factor; 80% said their organization's turnover revenue of cycle management staff is between 11-40%. Experian Health's survey confirms that healthcare teams struggle to find qualified staff. Staff turnover is a significant contributor to a revolving hiring door. One survey showed the average hospital turnover rate is 100% every five years. Traditional solutions to the problem include throwing more money into salaries, bonuses, or other perks. Overtime is a go-to remedy for the chronic healthcare worker shortage. But these approaches strain the provider bottom line. A recent Kauffman Hall survey shows: 98% of healthcare providers have raised minimum wage or starting salaries. 84% offer signing bonuses, and 73% offer retention bonuses. 67% experienced wage increases of more than 10% for clinical staff. The American Hospital Association (AHA) states, “Hospitals also have incurred significant costs in recruiting and retaining staff, which have included overtime pay, bonus pay and other incentives.” But what if recruiting isn't the answer to the healthcare workforce shortage at all? Artificial intelligence (AI) and automation software can help cut costs and lessen the workload of existing staff. The latest data suggest providers could save close to $25 billion annually (one-half of what they spend on administrative tasks) if they leveraged these tools. Experian Health's  AI Advantage™ uses powerful algorithms to automate manual claims processes to reduce denial and lessen the volume of tasks for revenue cycle staff. The software works in two critical areas: Predictive Denials proactively cleans claims before they are submitted. The software flags claims at risk of denial, allowing manual intervention for a clean submission—with no denials. Denial Triage manages denied claims by identifying the highest value reimbursements to maximize cash flow. Instead of chasing low-value claims or those least likely to pay, the software prioritizes where revenue cycle staff should spend their time for the greatest return. Schneck Medical Center saw significant ROI from this software in just six months. AI Advantage helped the facility reduce denials by an average of 4.6% per month. Claims corrections that took up to 15 minutes in the past now take under five minutes. Better software can do more than help hospitals get paid faster. Automating revenue cycle management processes frees up staff time. More time and less pressure mean fewer mistakes. Automation can ease the impact of the healthcare workforce shortage Two of the most pressing problems hospitals face today are the healthcare workforce shortage and revenue cycle impediments that keep them from getting paid. These challenges interconnect, and providers can solve them both with better technology to automate time-wasting manual functions. AI and automation in healthcare can cut costs and reduce staff burnout. Deploying revenue cycle software to automate billing, claims management, and collections could save $200 billion to $360 billion in spending in this country. These numbers are real. But so are the numbers showing increasing claims denials, staff burnout, turnover, and difficulties recruiting in the healthcare field. Today, the answer for hospitals to get paid faster is to leverage modern technology to improve the revenue cycle. Learn more about how Experian Health's revenue cycle management solutions can help automate common processes, and download the new survey to see the latest healthcare staffing shortage stats.