Many hospitals and health systems are rethinking their responses to the growing challenge of healthcare claims management. After all, claims are becoming increasingly more complex. Payer policy edits are changing at a scale not seen before. And the legacy of the pandemic continues to take a toll on administrative workflows. In Experian Health's State of Claims survey 2022, providers reiterated the urgent need to optimize claims management – and the mountains of wasted dollars that are the by-product of preventable denials. Could artificial intelligence (AI) and machine learning (ML) be the key? What does the future of healthcare claims and AI look like? The internet is buzzing with excitement about the AI revolution, but the adoption of AI technology in healthcare has been slow, compared to other industries. Providers may be unclear about implementing AI effectively or struggle to see a route around barriers to adoption. This includes concerns around legacy systems and data interoperability. That said, the uptake of AI in healthcare shot up by 167% between 2019 and 2021, as organizations spotted opportunities to leverage new technology to reduce denials, optimize processes and identify patterns. Now, the AI genie is out of the bottle. As the trend continues to grow, providers that fail to embrace these technological advances risk falling behind as their competitors race forward. This article looks at AI's role in the future of healthcare claims management, and specifically, how it can help providers streamline claims processing, recoup more revenue and gain a competitive edge. The growing challenge of healthcare claims management In Experian Health's State of Claims Survey 2022, providers said reducing denials was their number one priority. It's clear to see why. There have been more than 100,000 payer policy changes between March 2020 and March 2022. Staffing shortages continue to put pressure on both front-and back-office teams. Increasing patient volumes and changes to insurance coverage means more claims to process – with more complexity to boot. Looking ahead, providers need to find more efficient ways to manage and utilize increasing volumes of claims data to alleviate staffing pressure, improve productivity and future-proof against unexpected events. Failure to do so could be an expensive mistake, especially when margins are already tight and the economic landscape remains shaky. Digital claims management: from process-automation to pattern-spotting The survey suggests providers are increasingly turning to automation to improve claims management, with 78% saying they were likely to replace their current solution to achieve lower denial rates in the coming year. Upgrading claims technology, automating the tracking of payer policy edits, and automating patient portal claims reviews were the top three strategies for reducing denials. Automation can generate years of ROI by executing repetitive and error-prone administrative tasks at speed and at scale. A few examples of automation in action are tools like: ClaimSource®, which manages the entire claims cycle, creating custom work queues and automating the claims process for greater efficiency and accuracy. Claim Scrubber, which automatically reviews every line of every claim to check for errors, so claims are clean the first time, prior to submission. Denials Workflow Manager uses automation to help providers eliminate manual processes, prevent errors and increase reimbursement. AI takes this a step further, by analyzing vast amounts of information to find patterns and make predictions that support better, faster decision-making. Clarissa Riggins, Chief Product Officer at Experian Health explains why providers should embrace AI in claims and denials management: "Claims submissions and managing claims after denial are highly manual processes – and they are both extremely error-prone. AI/ML can learn from the data patterns in your claims to provide insights on where your claims are being denied most frequently. These solutions can also provide decision support to staff to help them to prioritize the work within their current claims processes, to avoid unnecessary denials in the first place and then to optimize their work to ensure a cleaner claim rate." While many providers see the potential of AI to streamline claims operations, prevent denials and accelerate reimbursement, others are hesitant to invest or are stumped by logistical barriers. Legacy technology, data compatibility issues and staff skills gaps can all put the brakes on AI implementation. But the AI train is showing no signs of slowing, and providers that fail to jump aboard could get left behind. With the right tools and an experienced vendor, implementation can be simplified. AI Advantage™ – the engine for predictive denials and denials triage Experian Health's new AI-powered denials management solution uses a two-pronged approach to predict, prevent and prioritize denials. First, AI Advantage – Predictive Denials identifies claims that may be at risk of being denied, based on analysis of historical payment data and payer decisions. This gives staff time to intervene and make any necessary amendments before the claim is submitted. The second element, AI Advantage – Denial Triage, applies an algorithm to segment denials based on the likelihood of reimbursement. This means staff can focus on high-impact resubmissions, rather than simply prioritizing high-value claims that may or may not be paid. Rob Strucker, Product SVP at Experian Health, explains that AI Advantage™ is continuously learning in real-time, so that predictions are increasingly accurate: “We look at the provider's own information for this type of service for this payer, and how those claims have been adjudicated. From that, we can score each claim in terms of its probability of being denied or claimed, and then based on that probability score, trigger an appropriate alert.” How Schneck Medical Center optimized healthcare claims management with AI Advantage™ AI Advantage™ proved to be the solution Schneck Medical Center was looking for when they set out to reduce denials. Within six months, Experian Health's AI-powered solution enabled Schneck to reduce denials by an average of 4.6% each month. Staff reported that the probability thresholds calculated by AI Advantage™ were highly accurate, facilitating a more efficient approach to reworking claims. Processing time was cut from 12 to 15 minutes to less than 5 minutes per claim. Clarissa Riggins says that AI Advantage gives staff confidence that they're spending their time on the right tasks: "When you have an algorithm that can evaluate the probability that a denial will be overturned, you can make sure that staff are working on the claims with the most potential for yield. Taken together, these solutions can help ensure that hospitals and health systems are getting paid for the good work they do in delivering care." Thanks to the tool's predictive capabilities, staff now have the insights (uncovered from within their own data) to prevent denials before claims are submitted, and to speed up rework should any be denied. As claim denials continue to increase in number and complexity and healthcare costs continue to grow, providers are feeling the impact on their revenue and margins. AI can ease the pressure by optimizing the healthcare claims management process. Find out more about how AI Advantage™ can help providers improve healthcare claims management and prevent costly claim denials.
Product featured in this article: Coverage Discovery As of the end of March 2021, more than 53 million Americans have been fully vaccinated, allowing for cautious optimism as we prepare for the next phase of the COVID-19 journey. Unfortunately for pharmacists, the vaccination program has compounded many of the challenges of the last 12 months. Shots may be free to patients, but someone has to pay for them – and getting reimbursed is proving to be a major pain. Complicated billing processes, extra billing audits and mountains of extra paperwork, rejected claims and slow payments are not exclusive to pharmacies helping vaccinate America. With the coronavirus pandemic continuing to muddy the insurance landscape, getting hold of missing dollars is challenging. Healthcare reimbursements haven’t been straightforward for other providers either: widespread coverage loss and uncompensated care is putting extra strain on hospital revenue cycles. With the coronavirus pandemic continuing to muddy the insurance landscape, getting hold of missing dollars is challenging. Providers must find ways to quickly and accurately determine each patient’s coverage status to minimize bad debt. Navigating the complex world of post-COVID healthcare coverage What does the reimbursement landscape look like, one year on? After a long wait, elective procedures are back. But the surge in patient volumes means providers must be on their toes to keep track of coverage. The process for doing so must be streamlined and precise. Ramping up capacity to verify and check coverage without burdensome paperwork is a must. Patient intake is under pressure. More patients are coming through the doors as a result of elective services and vaccination programs (though not always to their usual facility). COVID-19 hasn’t gone away, and with pockets of infection spikes, safety remains a top priority. Capturing adequate insurance information in this context is no mean feat. Running automated coverage checks as soon as the patient arrives will minimize face-to-face contact during admissions and avoid delays. Patient access and collections staff are overburdened. Manual checks are difficult when staff are operating remotely or in a socially distanced environment, and patient information might be incomplete. Automated self-pay scrubbing can help handle the volume. A tool with built-in reporting can also offer insights on workflow and productivity, to help spot opportunities for quicker claims processing. New digital healthcare technologies aren’t always covered by insurers. Telehealth, a life raft during COVID-19, tends to be covered less often by private insurers, compared to Medicare and Medicaid. Coverage checks must factor this in to avoid errors and wasted time. Providers should opt for tools that sweep for payer updates to telehealth coverage to avoid unnecessary delays or denials. Employment levels may be inching upwards again, but tracking coverage remains a challenge as patients start new jobs with new health plans. In addition, checking for Medicare coverage in the midst of changing codes and protocols is time consuming and confusing. A third-party resource such as Coverage Discovery can look for all coverage options and make sure the right bill goes to the right payer. Find missing dollars with Coverage Discovery Hospitals, pharmacists and other healthcare providers can’t afford to continue losing money at a time when every dollar is needed to prepare for “after COVID-19.” Experian Health’s Coverage Discovery is a proven system for tracking down missing coverage quickly and easily, to avoid unnecessary revenue loss. Using billions of data assets and intelligent confidence scoring, it combs through multiple government and commercial payer accounts to maximize actionable coverage. Staff can trust the outputs and focus their attention where it’s really needed. By making coverage identification more efficient and accurate, it’s a shot in the arm for providers in need of faster reimbursements. Contact us to see how Coverage Discovery can be easily integrated into your revenue cycle, so you can maximize reimbursements over the coming weeks and months.
Claims denials put a big dent into the budgets of healthcare providers – something many organizations can’t afford today given the current pandemic. In an environment where everyone must do more with less, reducing claim denials could release vital revenue and staff time to create breathing space for quality improvement. The good news? About 90% of claims denials are preventable when healthcare providers automate revenue cycle functions. In fact, providers could gain an estimated $9.5 billion by automating the claims management processes. Here are 5 ways for providers to proactively reduce claim denials. Healthcare providers should shift from reactive to proactive claim denial management, looking at the whole RCM process. On the front-end, that includes streamlining the patient registration process. By achieving near-perfect levels of accuracy on the front-end, providers can prevent costly claims denials and unnecessary re-work on the back-end of the revenue cycle. On the back-end, ideally, providers will use technology to prevent denials in the first place, improve processes for managing denials when they do occur, and then use a robust analytics platform to understand what went wrong so it can be avoided in future.
For many of the 36 million Americans who have registered for unemployment benefits during the coronavirus outbreak, losing their job means losing their health insurance. Options for the newly-unemployed are limited yet complicated: while the federal government has declined to reopen enrollment under the Affordable Care Act, several states are supporting those without coverage by opening emergency enrollment periods for state-based health exchanges. Those that can afford it may extend their existing employer plan through COBRA, while those that can’t may apply for Medicaid. But unfortunately, millions will be left without coverage. Now, with these changes happening in both large quantities and at rapid speed, the process for checking a patient’s coverage status is more complex, time-consuming and susceptible to errors than in normal circumstances. Further errors may appear as patients are forced to switch care teams, leading to disjointed care and incomplete, inaccurate or duplicate health records. It’s a huge administrative and financial burden for providers, who must keep pace with changes to the health insurance landscape or risk a surge in denied claims as a result of patient misidentification. How should they guard against patient identity errors and minimize revenue loss in the wake of COVID-19? How to prevent mismatched patient records and avoidable claims denials A 2018 survey found a third of denied healthcare claims were caused by patient identity errors, costing hospitals an average of $1.5 million. We may see this figure creep up following COVID-19, unless providers move quickly to implement robust identity proofing and patient matching processes. Providers looking to do this should consider prioritizing the following three areas: Eliminate errors during patient registration Up to half of denied claims occur earlier in the revenue cycle, which is also when most duplicate medical records are created. Improving identity proofing during patient scheduling and registration is a logical place to focus, to ensure records are accurate from the start. This should include proactively checking for active coverage as early as possible. Using a Coverage Discovery tool that automatically finds available coverage will help avoid bad debt write-offs and give patients peace of mind. Essentia Health’s Patient Access team were able to find 67% coverage pre-service, for patient accounts that were previously considered self-pay or uninsured. Automate identity matching throughout the revenue cycle When patient records are incomplete, duplicated or overlaid with part of someone else’s record, denied claims become an accepted cost – but they’re often avoidable. Instead of time-consuming and error-prone manual checks, providers should consider using automated identity management software to ensure patient records are accurate and complete. Data-driven matching technology supported by a Universal Patient Identifier allows a single view of each patient to be shared safely and securely across multiple healthcare services. There’s no need for tedious reconciliation work and providers can be confident they’re submitting clean claims each time. Improve identity management protocols for telehealth and mobile services More patients turning to telehealth services and patient portals to minimize face-to-face contact, putting pressure on providers to solve the patient matching problem. And with payers expanding coding for reimbursements for telehealth and remote services, there’s an added imperative to make sure patient information is accurate in order to minimize the risk of claims denials. Victoria Dames, Senior Product Director at Experian Health, says portal access has increased by roughly 40% since the start of the coronavirus outbreak, and explains that the rise in telehealth and mobile services means identity proofing must be a priority: “If you don’t already have identity proofing and automated solutions for patient matching in place, you’ll have duplicate records. We don’t want that – it’s important to have one view of the patient. But we need to move quickly. Automating for identity proofing eliminates the risk of human error and it’s faster too, which is crucial right now. We know many providers want to get their identity management and claims management systems optimized quickly, so we have a team set up to help.” Using the right technology to verify patient identities and analyze claims, avoidable denials resulting from missing or incorrect information can be caught sooner. Contact us to find out how we can help your organization manage patient identities to eliminate costly claims denials during and after COVID-19.
Did you know a whopping 90% of missed revenue opportunities can be linked to denied claims? At a time when providers are working to make up this lost revenue, they are also dealing with patients who are expected to cover more of their medical bills through out-of-pocket expenses. High-deductible health plans, free-care programs and crowdfunding are more prominent, leaving hospitals vulnerable to the patient’s ability to pay. Add in the rise of value-based care, and it’s no secret patients expect an experience that matches their interactions with other consumer services. They’re more engaged in their health and know they have options. Patient collections are down, but expectations are up. Loyalty wavers somewhere in the middle. How should providers respond? Legacy revenue systems aren’t set up for financial models based on value over volume, so providers need to adapt. It’s vital to find ways to help patients navigate the financial side of healthcare and make patient collection processes as efficient as possible. What does value-based care mean for your revenue cycle? Shifting to value-based reimbursements, patient-centric incentives and quality of care programs means your clinical and revenue cycle workflows need to be better connected. Patients must receive consistent and accurate communications throughout their healthcare journey, setting them up for the best possible health outcome and payment options. When the care and finance functions work together, your patient records can be kept up to date and the next admin task will be triggered at the right time. Here are some things your revenue cycle management (RCM) process might be missing: clear and convenient processes for patientsaccurate patient identification from registration to billingability to collaborate with payers to customize workflowsstreamlined workflows to reduce time and resources spent on avoidable tasksautomated processes to support effective collections and spot root causes of denialsreal-time reporting to help improve performance over time [Source: Frost and Sullivan] Data, analytics and automation can help you create more agile processes to minimize revenue leakage and create a better financial experience for patients. 3 ways to close the gaps in a value-based RCM model 1. Use consumer data to help patients make informed decisions A major cause of denied claims stems from patients being unsure about what their treatment will cost. Others are unclear about whether they have appropriate coverage. Help your patients weigh their financial options by providing accurate estimates and working with them to check coverage. Consumer data can support this process by giving you insights into your patient’s social identity, medical history, coverage status, insurance eligibility and propensity to pay. With an intuitive billing process, you’ll improve the patient payment experience and reduce revenue leakage. 2. Use analytics to predict gaps in your revenue cycle Many top-performing health systems use advanced data analytics to predict where the bottlenecks, errors and denials might creep in, so they can take swift action to address them and keep their patients and C-suite happy. For example, with analytics, you can get to know your patients better so you can segment them according to their financial responsibility and ability to pay. Not only does this mean you can focus your collections efforts more effectively, but you’ll have the right insights to help patients navigate the payment process with personalized nudges and relevant messaging. In addition, analytics have a huge role to play in eliminating avoidable denials resulting from unreliable or inaccurate patient data. You’ll be able to spot patterns in denials, so you can implement checks and processes to avoid them in future. 3. Put the right tools in place to close the gaps Close the widening gap between claims and collections starts by ensuring your patients are aware of their financial responsibility. A self-service patient portal could give your patients convenient access to their information in a time and place that suits them. They’ll be able to schedule appointments, enroll in payment plans, and apply for charity. They’ll see real-time, transparent and accurate information about price estimates and their eligibility and coverage. When the financial experience is transparent and frictionless, patients are more likely to feel satisfied and less likely to shop around for care – not to mention being better prepared to meet payment deadlines. And internally, data-driven automated software can help you monitor and manage every step of your revenue cycle. You can make life easier for clinicians and management teams with EHR-integrated dashboards, web-based financial reporting and timely alerts for the relevant teams. Schneck Medical Center used Experian Health’s Denials Workflow Manager to automate tedious manual processes, freeing up staff time and optimizing claims follow-up and collection: “No longer are we waiting 30 to 45 days to review denials. We can review them on the day of [submitting] if we choose to.” (McKenzie Smith, Director of Patient Financial Services) It’s simply no longer viable to use RCM processes that aren’t integrated across your entire digital ecosystem. Providers that can offer a convenient and personalized consumer experience, automate collections workflows and join the dots between clinical care and revenue management will have the competitive advantage in the era of value-based care. Learn more about how your organization can use data to predict and close gaps in your revenue cycle.
Recently I had the opportunity to present at a regional chapter of the National Association of Healthcare Access Management about the growing need for business intelligence to improve patient access functions, as well as revenue. In speaking with attendees, it became clear that automating the patient access workflow with real-time data can create a more efficient and accurate process. Here’s how. As the responsibility for paying healthcare bills increasingly falls to patients themselves, patient access can make or break the revenue cycle. From registration and verifying insurance details, to scheduling appointments and collecting cash payments—this is the front line for the financial side of the patient experience. When you consider that half of denied claims occur earlier in the revenue cycle at the point of registration, improving those early-stage patient access processes is the obvious place for providers to look when seeking to minimize lost revenue. Revenue loss in patient access is mostly due to errors in patient identification, inadequate data analytics and inefficient workflows. If front and back office teams were better connected and able to work together quickly to communicate and resolve issues, many of these errors could be prevented. Without reliable tools and workflows to support this, those teams often must resort to manual fixes for any errors that arise. Unfortunately, this takes time and effort, blocking opportunities to find new ways to improve decision making and business performance. Healthcare is becoming more competitive. Providers must work to leverage the right data in the right way to safeguard profits and offer a better patient experience. That said, where should you start? Doing more with less requires the right data insights There are two sides to the solution: first, you need to be sure your data is accurate from the start. Around a third of denied claims are caused by inaccurate patient identification, while 12% of patient records are duplicates. Cleaning up your data with high-quality demographic data can help eliminate preventable denials. Secondly, you need to be able to draw insights from your data to help make smarter decisions in the future. Let’s say you notice a spike in late payments from a certain population. Why is that? Looking at historical data on patient and payer behavior can point to emerging trends and help you figure out where to focus your efforts in response. Or perhaps you’ve recently added a new function to your patient portal. Analytics can help you see if and how patients are using it and evaluate its overall performance. Once you have your data and analytics in place, you can start to use it to make improvements. Automating the patient access workflow with real-time data can create a more efficient and accurate process. It will also help link front and back office staff with shared systems that minimize errors and wasted staff time. 3 ways to use data analytics to streamline patient access For providers looking to streamline their early revenue cycle processes using the power of data, three areas to focus on are: Creating a better patient experience Increasing numbers of self-pay patients means patient loyalty is a growing priority for providers. Creating a positive, straightforward patient financial experience is essential for hospitals and health systems looking to reduce the stress and anxiety many patients feel when dealing with healthcare bills. Using data insights to identify the sticky parts in your patient access processes can help you spot opportunities to improve the consumer experience. For example, are patients receiving duplicate communications because the system is failing to update demographic information? Are there bottlenecks or backlogs that are creating stressful delays for patients? A business intelligence tool such as Revenue Cycle Analytics can help you pinpoint the root cause of delays and errors so you can work to fix them—and level-up your patient experience. When Martin Luther King Jr. Community Hospital (MLKCH) realized patient registration in their busy Emergency Room was a bottleneck and source for claim denials, they implemented an automated platform to streamline their registration process and improve the data being captured at the point of registration. Lori Westman, patient access manager at MLKCH says: “We get fewer denials because we’re getting true verification data, and our patient volumes continue to increase. So the fact that we can take off two to three minutes, at least, on half of our registrations is speeding up the work for the team, and the turnaround time is much better for the patients.” Uncovering potential revenue loss Analytics can show you exactly where your revenue cycle is losing money. Using appropriate benchmarks and custom KPIs, you can analyze accounts across the entire cycle to make sure your existing revenue cycle solutions are performing optimally and identify new opportunities for improvement. By gathering together multiple data streams into a single dashboard, you’ll get an at-a-glance view of your revenue cycle performance, so you can drill down to the root cause of denials. This also helps link up your front and back office staff. Rather than working retrospectively to address issues as they happen, your back office team can use insights from whole system data reporting and analytics to give front office staff immediate feedback on where denials are occurring. Monitoring payer rules and performance With American hospitals footing the bill for more than $620 billion in uncompensated care over the last two decades, it’s vital to verify a patient’s insurance options as soon as they set foot in the hospital. With up to date information on payer rules and a robust process for finding missing coverage, you can avoid protracted negotiations with payers and focus on denials, rejections and exceptions. A payer dashboard can also help you assess how payers are performing against one another, so your discussions around timely payments will be based in fact. By analyzing performance around pre-service, point of service and post-service, you’ll be better placed to work more closely with payers to minimize the risk of both late payments and denied claims. Learn more about how data analytics and an automated patient access workflow can help eliminate costly denied claims, boost revenue cycle performance and improve the patient financial experience. Steven Thiltgen is Director of Analytics Consulting for Experian Health
Managing the revenue cycle draws in considerable resources for healthcare organizations, even when it’s working as planned. The American Medical Association puts direct transaction costs and inefficiencies associated with the “claims management revenue cycle” at around 25-30% of overall healthcare spending. But when errors are made and claims end up being denied, providers could end up missing out on as much as The total revenue leakage is probably higher, when you consider the opportunity cost of staff time spent sorting out denials. Among the most common reasons for denials are missing or incorrect billing information, non-covered charges for care, and absent authorizations. Thankfully, these are all issues that can be minimized with the right strategies and tools. By optimizing your revenue cycle from the outset so that claims are right first time, you can save hassle and expense later on. Here are 7 ways to proactively reduce claim denials in your health system. Figure out why claims are denied First things first. You need to understand where denials are occurring in your revenue cycle and why. You can determine the root cause of denials by analyzing data that’s already available to you alongside information on industry trends. A business intelligence tool can help you use advanced data analytics to find opportunities for improvement, and generate actionable insights that are focused on your specific KPIs. Once you know where the weak points are, you can get the ball rolling with solutions. Prioritize the big-impact fixes In all likelihood, most providers will have the opportunity to improve the claims process at several points in the revenue cycle. You can’t do everything at once, so identify the areas with the greatest potential impact on your hospital’s bottom line. Can denials be traced to a particular department, service line or physician? Has a certain payer changed their approach? Compare the cost of implementing processes to tighten up the weak points in the cycle with the amount of revenue likely to be recovered to ensure you get the biggest ROI for your efforts. Automate patient access for more accurate claims Up to half of denied claims occur early in the revenue cycle, during patient access and registration. Automating the patient access workflow with real-time data can create a more efficient and accurate process, linking front and back office staff with shared systems that minimize errors and staff time. Martin Luther King Community Hospital experienced these efficiencies first-hand, when they integrated eCare NEXT® within their existing Cerner® system. As a result, their registration process became more streamlined, enabling them to cut two to three minutes from more than half of their registrations. Ensure patient matching is as accurate as possible Incorrect patient matching is a major source of revenue leakage for many providers, with around a third of claims denied on the basis of inaccurate patient identification. When it costs $25 to rework a claim and around $1000 for each mismatched pair of records, that’s a lot of lost revenue. Resolve your patient identities with the most robust data sources, and not only will you reduce claim denials, you’ll also have a more complete picture of each patient, which in turn will give them a better patient experience. Streamline prior authorization checks A survey by the American Medical Association found that prior authorization checks created a substantial burden for providers, with physicians spending an average of nearly 15 hours per week dealing with related tasks. For patients, this process can lead to delayed or even abandoned treatment. Using automated software, you can check claims against payer rules for medical necessity, frequency, duplication and modifiers, so you can quickly spot any claims that may be denied and correct them before submission. Process claims effectively Once you’ve streamlined the front-end of the claims process, you should of course look for ways to improve efficiencies throughout the rest of the cycle and immediately before the claim is sent to the payer. In fact, providers are expected to invest up to , as the need to crack down on denials grows. Submitting claims in the correct format is a common and frustrating challenge. Since each payer has different requirements and formatting preferences for claim forms, edits should be customized. A revenue cycle service provider can help you build these custom edits and check each claim line by line, so you can submit with confidence and avoid having to redo them later. Monitor and analyze your revenue cycle Regular analysis is essential to consistently improve denial rates. By monitoring your internal processes across a range of metrics, you can gain a holistic view of the entire revenue cycle to see where there are further opportunities to optimize performance and prevent denials. When you have confidence in the freshness and accuracy of your data – including patient access data, payer performance information and patient matching – you can make confident decisions about exactly what needs to happen to improve your claims denials. Learn more about how leveraging data-driven insights to tighten up your claims management systems and take proactive steps to find lost revenue.
Healthcare providers should be able to focus on what's important: their patients and the care they need. However, providers and their staff must spend much of their time on administrative tasks. A study by AMA Prior Authorization revealed that providers are spending two business days per week just completing prior authorizations. That doesn't even account for other administrative tasks. Meanwhile, providers rely on more payers and plans than ever before, which is often tied to their clinical performance, and patients are becoming increasingly more responsible for the cost of their care. This is leading to an increase in operating losses per physician of 17.5 percent of net revenue in 2017. Providers must prioritize their revenue cycle efficiency if they want to remain financially solvent in the ever-shifting healthcare field. To safeguard its revenue, Schneck Medical Center in Indiana, the only hospital serving four counties, wanted a way to optimize claims follow-up by identifying and targeting the claims needing attention as quickly as possible. This was especially important because an estimated 10 percent of the population lacks insurance and 13 percent lives in poverty in the primary county the medical center serves. Schneck's goals were to: Ensure denials did not exceed 3 percent of net patient revenue. Achieve the estimated total net preventable denials of $3.2 million or a 2 percent increase to operating margin. Reduce denials by confirming patient insurance eligibility, verifying medical necessity, and obtaining prior authorization when appropriate. Makenzie Smith, director of patient financial services at Schneck, said that industry pressures to reduce healthcare expenses and provide a better patient experience are what drove the healthcare organization to look at the revenue cycle technologies and processes it had in place. A better denials management system The denial management process can be cumbersome, especially for community hospitals like Schneck. It takes up too many resources and far too much time. Schneck was looking for better denial analysis reporting and automation software so it could more effectively manage denials and significantly increase collections. The organization's search led to Experian Health's automated approach to tracking the root causes of denials and identifying the trends in order to improve procedures. The software tool provided a comprehensive solution and allowed Schneck to optimize its claims workflow with remittance detail and analytics. It now helps the medical center identify denials, holds, suspends, and zero pays and uses electronic remittance advice and claim status transactions to identify appeals won or lost with payers. This allows Schneck to identify and target the claims that require immediate attention. The payoff With executive leadership buy-in and support, Schneck created a new, better process for claims denial management by: Reviewing preventable denials with customized queues in real time. Identifying directors with staff responsible for checking a patient's benefits and obtaining prior authorizations. Reviewing all denials over $500 in the revenue cycle department. Establishing a schedule for reviewing denials each month. Schneck's new streamlined process and real-time visibility into denials data has allowed staffers to work on denials more efficiently. The ability to link denials to a specific staff member in a specific department has further streamlined the process. The relationship between the front and back office has improved because both sides have achieved a better awareness of processes. With the right denial analysis and automation, healthcare organizations like Schneck can manage denials effectively and increase collections significantly.
The Vancouver Clinic was facing the same problems that all healthcare organizations grapple with: too many claims denials and too much bad debt. So, Paul Brown, the clinic's chief financial officer, turned to his background in manufacturing technology to see how his organization could find efficiencies. He used his experience and knowledge to inform his and the clinic's roadmap to implement change. The first step was looking at quality. In manufacturing, every step in the process is studied closely and tested to ensure absolute accuracy. Vancouver Clinic did the same. From a patient perspective, it wanted a seamless experience, including making appointments, reducing patient time at reception, ensuring labs were returned quickly, and making sure patients had quick access to any prescriptions they needed. Although the improvements Vancouver Clinic wanted to make originally were seen as a technology project, it quickly became evident that improving the process would also require training for staff and defining performance indicators. However, as technology played a key role, Paul reached out to Experian Health to implement some much-needed automation in the revenue cycle process. One big goal for the partnership was to improve revenue and collections, which is important as U.S. healthcare spending continues to skyrocket. Spending has reached $3.5 trillion, and Medicare bad debt adds up to more than $3.69 billion. Experts predict these numbers will continue to grow, and soon, the nation will spend close to 20 percent of the gross domestic product on healthcare alone. Vancouver Clinic was also grappling with these issues. It had higher-than-average claims denial rates, which cost the clinic $10.5 million each year. It also had higher-than-average bad debt of $3.5 million. The goal was to reduce that by 50 percent, and the numbers are going in the right direction. To get there, Vancouver Clinic took a multifaceted approach to implementing software solutions. One solution was Payer Alerts, which creates authorization updates that reduce errors and inconsistencies before claims are submitted. When they’re detected, the alert format is easy to read and understand so corrections can be made quickly. Other technology solutions included Eligibility, which simplifies the insurance verification process; Payment Safe®, which is an efficient and seamless way to process patient payments; and Claim Scrubber, which helps submit clean claims to payers and reduce claim denials. The results for Vancouver Clinic were quick and dramatic. Claims denial rates dropped more than 30 percent. The denial rate, which was around 14 percent, is now under nine percent. Vancouver Clinic also reduced bad debt through more efficient patient processing by ensuring the clinic has the right insurance and personal information on patients. By collaborating with Experian Health, Vancouver Clinic has turned things around and has already realized a reduction in claim denials and bad debts to save them $2.3 million. An additional benefit of implementing these software changes is the ability for patients to use the self-service portal for the clinic. It allows patients to get estimates for services, set up payment schedules, pay their bills, schedule appointments, and provide feedback to the health system. Giving patients the ability to take control of these tasks simplifies the process for everyone, reduces busywork for staff, and improves patient satisfaction. Another efficiency that was implemented for staff was revamping software work lists. By reducing the number of lists they had to manage, employees were able to streamline their work. In an effort to maintain and continue to improve efficiencies, several key performance indicators are monitored to ensure quality throughout every step of the process. In much the same way that manufacturing keeps an eye on each process along the way, Vancouver Clinic has sought to improve every detail to create a seamless experience for patients. Through its continued partnership with Experian Health, it is well on its way to getting there.