Tag: ClaimSource

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.

Upgrading claims technology was the top strategy for reducing denials in 2022, according to Experian Health’s State of Claims 2022 report. The report lists the most common strategies for minimizing the risk and impact of denials, based on a survey of 200 health professionals. With more than half of providers already embracing automation, there’s broad recognition that data-driven software and streamlined workflows are key to getting more claims approved the first time and minimizing avoidable revenue loss. And as new AI-based technologies gain traction as a route to faster and richer data analytics, there are growing opportunities for providers to leverage automated claims management solutions and improve healthcare claims processing. In June 2022, Experian Health surveyed 200 revenue cycle decision-makers to understand the current state of claims management. Watch the video to see the results: Here are 4 ways to improve healthcare claims processing, based on current practice and perceptions of claims management, and the solutions that can help providers reduce denials in 2023. 1. Upgrade claims technology More than half of survey respondents (52%) updated or replaced existing claims process technology in 2022. Healthcare executives were optimistic about using more advanced automation to improve claims processing workflows, with more than 91% saying they would “probably” or “definitely” invest in automation over the next six months. The benefits of automating healthcare claims management are well-documented. Less friction and fewer errors lead to faster and more accurate submissions, so claims are more likely to be reimbursed. Tasks can be assigned to the right specialist to make more efficient use of staff time and alleviate pressure on busy teams. Artificial intelligence (AI) takes this up a notch with additional predictive capabilities and the ability to “learn” from historical claims data. Action: Prioritize automation of data-heavy, repetitive claims management processes and leverage AI to prevent denials Recommended tool: ClaimSource® helps providers manage the entire claims cycle by creating custom work queues so staff can prioritize the most valuable tasks and speed up reimbursement. Experian Health’s new AI Advantage™ solution integrates with ClaimSource to predict and prevent denials. Pre-submission, 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. Together, these tools give staff the insights to reduce workload and minimize denials. 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 2023 Best in KLAS: Software and Professional Services report. 2. Automate patient portal claims reviews For 44% of respondents, automating patient portal claims reviews were seen as an effective way to get claims right the first time. Patients can check for errors and inconsistencies in their own accounts, to prevent avoidable mistakes from ending up on claims submissions. Patients can also use portals to track the progress of claims, so they don’t need to speak to an agent. It’s more convenient for patients and reduces the call burden on staff. Action: Review digital patient access strategies to improve patient engagement Recommended tool: Safe and secure patient portals can facilitate better communication between patients and providers, smoothing out many common bumps in the claims management process. If it’s easier for patients to submit accurate and timely insurance, medical and contact information, it’ll be easier for providers to submit prompt, accurate claims. 3. Provide accurate estimates In 2022, 40% of respondents said they’d focused on providing accurate cost estimates to patients as a way of reducing claim denials. Patient estimates may not be the most obvious route to improving the denial rate, but they set the stage for successful claims management. If a provider can pull together all the necessary variables to produce accurate estimates, then they have all the pieces in place to submit clean claims. Other byproducts of reliable, upfront estimates can be seen throughout the revenue cycle: patients are more likely to pay their bills sooner and have better patient experiences. Action: Invest in pre-service patient estimates technology Recommended tool: Patient Payment Estimates allows providers to pull together complex data on each patient’s specific medical, coverage and financial circumstances into an accurate estimate of what the payer will cover and what the patient will have to pay. These accurate, upfront estimates not only improve the patient experience and make it easier for patients to understand and pay their bills, but also ensure the pieces are in place to support smoother claims management. 4. Digitize registration Finally, 39% of providers said they’d embraced digital patient registration in 2022 to tackle the problem of denials. As with patient estimates, this approach works by ensuring patient details are as accurate as possible from the start. Improving accuracy on the front-end prevents errors, delays and rework further on in the claims processing workflow. Digital and self-service registration also reduces the burden on staff. Many of the reasons providers gave for denials related to concerns around managing limited resources for everything from payer policy changes to patient admissions. Digital patient registration allows patients to complete patient access before they come in, so staff are freed up to focus on other tasks. Action: Implement an automated self-service patient registration solution Recommended tool: Registration Accelerator reduces reliance on time-consuming manual data-entry processes, which often result in denied or delayed reimbursements. Not only does it alleviate staff pressures and reduce labor costs, it also improves data quality. This solution integrates with existing health information systems, electronic medical records and eCARE NEXT®, which streamlines data entry. This will be key as providers look to reduce labor costs, increase efficiency and accelerate payments. Effective claims management requires speed, accuracy and flexibility. Find out how Experian Health’s automated claims management solutions can help providers improve healthcare claims processing and reduce denials.

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

“The challenge we sought to overcome by leveraging AI Advantage at our organization was just gaining more insight into how denials originate and what actions we can take to prevent those from happening.” — Skylar Earley, Director of Patient Financial Services, Schneck Medical Center Challenge Starting as a 17-bed hospital more than 100 years ago, Schneck Medical Center now serves four counties in Indiana, with a staff of more than 1,000 employees, 125 volunteers and nearly 200 physicians. The organization’s vision is to deliver excellence, lead transformation and advance health, underpinned by a patient-first philosophy. For the Patient Financial Services team at Schneck Medical Center, reworking denied healthcare claims was often time-consuming and inefficient. Billers tended to prioritize high-value claims, without knowing the probability of reimbursement. They sought a denial management solution that would reduce the risk of denied claims and minimize their impact on the revenue cycle. Solution Schneck worked with Experian Health to test two new denial management solutions that use artificial intelligence (AI) to reduce the likelihood of denials and prioritize rework to maximize reimbursement. The first, AI Advantage™ – Predictive Denials, uses AI to predict claims that have a high chance of being denied, so they can be corrected before the claim is sent to the payer. If a claim review exceeds the suggested threshold for denial probability, an alert is triggered, and the flagged claim is automatically routed to the appropriate biller. The biller investigates the alert to understand what changes are needed. This might include checking insurance eligibility, reviewing coding errors or reviewing authorization status. Once the alert is resolved, the claim can be automatically resubmitted. The second solution, AI Advantage™ – Denial Triage, prioritizes denials based on the potential for reimbursement so staff can focus recovery efforts on the right claims. The triage process starts with identifying between 2 and 10 denial segmentation categories based on likelihood of reimbursement. Schneck chose to identify 5 categories to start. Individual remits are evaluated and automatically assigned to the appropriate category, so they can be routed to the correct specialist. The tools use historical claims data and a continuously learning AI model to detect patterns in payer decisions. Staff can customize denial probability thresholds and segmentation criteria to ensure claims are routed to the correct specialist. The solutions integrate seamlessly with Schneck’s existing claims management system, ClaimSource®, and other health information workflows. Outcome After just six months, AI Advantage helped Schneck reduce denials by an average of 4.6% each month. Corrections that would previously have taken 12 to 15 minutes to rework can now be processed in under 5 minutes. Staff report that the thresholds determined by AI Advantage – Predictive Denials are highly accurate, leading to better decision-making when reworking claims prior to submission. And with AI Advantage – Denials Triage, staff feel confident that they’re focusing their attention on the right segments, rather than wasting time on high-value claims that are unlikely to be reimbursed. Skylar Earley says, “Before, we had no insight into whether we were performing value-added work when we followed up and worked denials. Now we see those percentages.” Learn more about how AI Advantage generates insights to help healthcare organizations reduce time spent working denials and maximize reimbursement.

Experian Health is very pleased to announce that it ranked #1 in Best in KLAS, Software and Professional Services, for two segments:  #1 in Claims Management and Clearinghouse, for our ClaimSource® claims management system  #1 in Revenue Cycle, Contract Management, for our Contract Manager and Contract Analysis product.   According to KLAS CEO Adam Gale, “The 2023 Best in KLAS report highlights the top-performing healthcare IT solutions as determined by extensive evaluations and conversations with thousands of healthcare providers. These distinguished winners have demonstrated exceptional dedication to improving and innovating the industry, and their efforts are recognized through their inclusion in this report. Congratulations to all the winning vendors for setting the bar for excellence in healthcare IT! KLAS continues to be committed to creating transparency and helping providers make informed decisions through our accurate, honest, and impartial reporting.”  Experian Health’s 2022 State of Claims survey reveals that 47% of providers said that improving clean claims rates was one of their top pain points, with 42% reporting that denials have increased in the past year. Read how Hattiesburg Clinic in Mississippi, which uses both Contract Manager and Analysis and ClaimSource, leverages ClaimSource to automate claims management and reduce denials. Learn more about how ClaimSource and Contract Manager and Contract Analysis can help your healthcare organization. 

Hattiesburg Clinic is Mississippi’s largest multispecialty clinic with over 450 physicians serving 19 counties. Claims management, patient collections and payer contract management are handled by the clinic’s Financial Services Department, which includes around 70 staff members. Challenge Hattiesburg Clinic in Mississippi sought to improve financial performance in the wake of the COVID-19 pandemic by focusing on reducing claim denials. The Financial Services Department had been hit by staffing shortages, which affected financial results. A more efficient digital claims management solution would attract and retain a high-performing virtual team, while supporting the shift away from existing paper-based systems. To submit more clean claims the first time, the Department set specific goals to: meet or exceed Epic benchmarks for primary denials maintain accounts receivable (AR) days at 42 or less process secondary and tertiary claims without waiting for the primary electronic remittance advice (ERA) to be posted. Solution Already impressed with Experian Health’s Contract Manager and Eligibility solutions, the Department chose another Experian product, ClaimSource®, to help reduce denials. Loretta McLaughlin, Assistant Director of Financial Services, said she was confident ClaimSource was a good candidate for the clinic’s claims platform: “ClaimSource seemed like the right fit for the department’s goals. The platform’s ability to customize edits, along with the level of customer support available, really set the solution apart from the alternatives.” ClaimSource uses scalable automation to prioritize claims, payments and denials. This allows staff to use their time as efficiently as possible, by working on the highest-impact accounts first. Using customizable edits and extensive national and local payer edits, it checks each claim for inconsistencies before the claim is submitted. ERA data is automatically integrated into Epic so that staff can check a claim’s status quickly and easily. With real-time reporting, staff gets insights from across the entire claim lifecycle to improve performance. Outcome The ability to integrate customizable edits was a big advantage for the clinic. They now have over 90 custom edits that help eliminate time-consuming errors, reduce denials, and allow staff to focus on the right accounts. As a result, Hattiesburg Clinic has achieved a 6.1% primary denial rate, which exceeds the Epic Financial Pulse benchmark. Despite staffing shortages, they’ve been able to accelerate receivables. They’re also seeing accelerated cash flow, now they can pursue claims from secondary and tertiary payers without awaiting the outcome of primary claims adjudication. ClaimSource is also creating a better staff experience: the tool eliminates the need for claims to be printed, so staff can work from any location. Now, over 50% of the team work from home. Thanks to automated workflows, output has been consistent despite a reduced workforce. Being able to submit clean claims the first time has a positive impact on AR days as well as staff workload. Loretta McLaughlin says: “Through ClaimSource’s automation and level of quality work, we have had to do less manual intervention.” To build on this success, the team intends to explore further opportunities to use automation to improve productivity. Options include automatically generating patient estimates, automating bad debt and refund workflows, and allowing patients to verify insurance eligibility through their patient portals. Find out more about how ClaimSource helps hospitals, health systems and physician groups reduce denials, protect profits and increase productivity through automated and scalable claims management.

With 2023 just around the corner, healthcare executives are teasing out their strategic priorities for the next 12 months. Where should they be focusing their attention? Here are the top 3 healthcare predictions to watch in 2023 and the actions needed to help providers prepare. Prediction 1: AI and automation will continue to gain traction “The time is now for providers to get ready, prepare and implement these technologies.” - ­Jason Considine, Chief Commercial Officer at Experian Health Automation came to the forefront during the pandemic, enabling essential access to care and filling in gaps created by staffing shortages. By now, the use of remote and digital tools is pretty well-established. Automation is the norm, but there’s room to leverage these solutions for an even greater ROI. As Jason Considine says, investing in technology that makes it easier for providers to get paid will be a particularly effective use of digital tools. One such example is in the digitalization of healthcare claims. Healthcare claims management processes have typically relied on manual systems. These can be slow and error-prone, creating avoidable extra work for staff and friction for patients. In the State of Claims 2022, 78% of executives said their organization would be likely to replace their existing claims management solution if convinced something else can deliver better ROI. Eliminating inefficiencies and optimizing reimbursement would certainly check that box. Tools like Denials Workflow Manager, Enhanced Claim Status and ClaimSource® use automation and detailed analytics to improve claims management performance. More claims can be processed more accurately, resulting in fewer denials and faster reimbursement. With denials increasing by 10–15%, claims automation is likely to be a top priority for many providers in 2023. Prediction 2: Patients will increasingly choose providers that offer a user-friendly financial experience  “The immediate path to better billing and payment processes may escalate pressures on providers right now, but it will yield better financial outcomes in the future for patients.” - Victoria Dames, Vice President of Product Management at Experian Health The economic downturn has put pressure on providers and patients, which we can expect to last into 2023. Patients are concerned about healthcare costs, but they’ve also come to expect a more transparent and compassionate financial experience. Experian Health's top healthcare predictions finds that reliable pricing estimates, support to find the right payment plan, and convenient and flexible payment options will be table stakes in 2023. For providers, implementing digital payment options to meet these needs may be challenging, but it’s an investment that will yield positive long-term results. More than 6 in 10 patients who have received an unexpected bill or inaccurate estimate would switch healthcare providers for a better experience in future, placing transparent medical billing at the core of attraction and retention strategies. The medical billing software outsourcing market is already experiencing historic growth as providers respond to patient demand for a digital financial experience: the market’s value is expected to grow over the next decade, from $11.1 billion in 2021 to $55.6 billion in 2032. Experian Health leads the way when it comes to creating a patient-friendly billing and payment experience, with solutions such as Patient Financial Advisor and Patient Estimates. Giving patients greater control over their financial journey with upfront estimates and tailored payment plans makes it easier for them to prepare for payments. Prediction 3: Providers that fail to create a welcoming digital front door could be closing off revenue opportunities  “Deliver convenience. People are consumers before they are patients.” - Tom Cox, President at Experian Health Automation offers opportunities for optimization throughout the revenue cycle, but one of the most crucial points is in patient access. Making patient access easier is on the list of top healthcare predictions, and for good reason - a frictionless first impression can have a powerful lasting effect. What should this look like? Cox advises that providers should “anticipate the needs of digital-first customers.” Patients expect the same personalized service they are accustomed to in other sectors, with convenience, choice and control at the center. Administrative “relics” such as the traditional waiting room clipboards and repetitive forms must be minimized where possible. A report from Experian Health and PYMNTS found that a third of patients chose to fill out registration forms for their most recent healthcare visit using digital methods. 61% of patients even said they’d consider changing healthcare providers to one that offers a patient portal. Online scheduling software and self-service registration makes it easy for patients to complete these tasks in advance. Providers can then round out a user-friendly patient experience with Patient Payment Solutions. This gives patients a choice of payment methods, leading to faster payments. Providers have realized that many patient access functions can be achieved more efficiently and cost-effectively using self-service and remote digital tools. By streamlining intake operations, organizations can make better use of staff time, reduce errors and increase productivity, while improving the patient experience simultaneously. As revenue cycle technology continues to develop in 2023 and beyond, providers need to ensure they are capitalizing on the latest software to improve their bottom line, deliver on patients’ service expectations, and keep pace with healthcare predictions. Learn more about Experian Health's revenue cycle management solutions and contact us to find out how these solutions can help healthcare organizations open their digital front door and prepare for 2023.

In 2009, processing claims was listed as the second greatest contributor to “wasted” healthcare dollars in the US, at an estimated $210 billion. A decade later, that amount was estimated at $265 billion. Today, healthcare providers are still grappling with denied healthcare claims, with both challenges and solutions accelerated by the pandemic. To put the scale of operational and delivery changes into perspective, Experian Health recorded well over 100,000 payer policy changes for coding and reimbursement between March 2020 and March 2022. The implications for claims processing are immense, which is why healthcare providers need to reevaluate their denial management strategies and invest in new technology that can help increase reimbursements. In June 2022, Experian Health surveyed 200 revenue cycle decision-makers to understand how they feel about the current situation. What are the priorities of those on the front line of denials management? And how can technology contribute to improvements? This article breaks down the key findings. Takeaway 1: Denials are increasing and reducing them is priority #1 30% of respondents say denials are increasing by 10-15% Nearly 3 out of 4 respondents say that reducing denials is their top priority For most respondents, claims management is more important now than it was before the pandemic, because of payer policy changes, reimbursement delays and increasing denials. Respondents attribute this to insufficient data analytics, lack of automation in the claims/denials process and lack of thorough staff training. When it comes to improving denial rates, staffing seems to be the greatest challenge. More than half of respondents say staff shortages are slowing down claims submissions and hampering efficiency. Shrinking offices mean there is less staff to handle the growing volume and complexity of claims. It’s no surprise, then, that around 4 in 10 respondents are also concerned about keeping up with rapidly changing payer policies and keeping track of pre-authorization requirements. Providers recognize that technology can help reduce denials while easing the burden on staff. A tool like ClaimSource manages the entire claims cycle using customizable work queues that make it easy to prioritize accounts, saving staff time and avoiding the errors that lead to denials. This also incorporates payer edits to ensure that claims are clean before being submitted to the payer. And if claims do end up needing further attention, Denials Workflow Manager eliminates time-consuming manual processes and allows providers to attend to high-risk claims quickly, so there’s less chance of delayed reimbursement. Takeaway 2: Automating denials management in healthcare is critical 52% of respondents upgraded or replaced previous claims process technology in the last 12 months 51% are using robotic processes, including automation, but only 11% are using artificial intelligence Prior to the pandemic, automation was sometimes perceived as a threat to jobs. But with changing employment patterns and evidence of the broader benefits of automation, attitudes are shifting. Automation can make life easier for staff by removing manual tasks to allow them to focus on other priorities. It speeds up the healthcare claims processing workflow, reduces the risk of errors, and enables better communication between providers, patients and payers. Providers recognize that automation drives more efficient claims management. The survey revealed that 45% of respondents turned to automation to keep track of payer policy changes, 44% had automated patient portal claims reviews, and 39% had digitized patient registration in the last year. Automation supports all stages of the claims management process, from auto-filling patient data during registration, to generating real-time claim status reports for back-office staff. Payer authorizations were a common challenge for providers, and a perfect fit for automation. Experian Health’s Prior Authorizations solution eliminates the need for staff to visit multiple payer websites, automates inquiries, and offers real-time updates on pending and denied submissions so staff knows when to intervene. Takeaway 3: Providers are searching for denial management solutions that will achieve the greatest ROI 91% of those likely to invest in claims technology say they will replace existing solutions if presented with a compelling ROI The majority of providers may be on the lookout for better claims management solutions, but they vary in how they measure ROI. Predictably, one of the most common metrics is how much staff time can be saved, with 61% concerned with hours spent appealing or resubmitting claims, and 52% looking at time spent reworking claims versus reimbursement totals. Rates of clean claims and denials were also popular metrics, at 47% and 41%, respectively. Using Denials Workflow Manager and ClaimSource alongside additional claims management solutions like Claim Scrubber and Enhanced Claim Status can deliver an even stronger performance against the above metrics. Each solves a specific challenge within the claims management workflow, but when used together, the ROI is multiplied. Overall, there’s optimism that digital technology and automation can help healthcare providers improve claims and denial management and reduce the amount of “wasted” dollars. This survey shows that providers are keen to grasp the opportunities offered by automation to optimize the reimbursement process and get paid sooner. Download the report to get the full results on the State of Claims 2022, and discover how Experian Health can help organizations with their denial management strategies.

When it comes to medical coding and billing, accuracy is everything. Even the smallest error can result in a claim being bounced back by the payer, causing delays and missed revenue opportunities. Coding requirements change frequently, and with denials totaling billions of dollars per year, providers can’t afford to risk under- or over-coding or relying on outdated codes. Automation and software-driven solutions can uncomplicate the complex world of medical coding. Getting claims right the first time accelerates the adjudication process, leading to faster and higher reimbursements. Providers can make more reliable financial forecasts, avoid losing time reworking rejected claims, and give patients greater clarity about what they’ll owe. For this reason, providers should brush up on medical coding and billing best practices to improve claims management and maximize reimbursements. Here are 7 areas to focus on: 1. Stay up-to-date with coding changes Medical codes convert information about the patient’s healthcare encounter into an electronic format that payers use to adjudicate claims for reimbursement. If a claim includes outdated, incorrect or missing codes, then it will be denied. The most common medical coding systems include: International Classification of Disease 10th edition (ICD-10) codes: these codes denote the patient’s diagnosis or condition. The 11th version was published in January 2022, and while the implementation timeline in the US remains unclear, providers will need to be ready to adapt. Current Procedural Terminology (CPT) codes: Where ICD codes describe the patient’s symptoms, CPT codes record their treatment. If there’s a discrepancy between diagnosis and treatment, the claim is likely to be denied. Healthcare Common Procedure Coding System (HCPCS) codes: the Centers for Medicare and Medicaid Services (CMS) use these to apply CPT codes to procedures, services, products and equipment offered to Medicaid and Medicare patients and those covered by private insurance. These codes are constantly being revised and are often recycled, so coders must pay close attention to avoid errors. National Drug Code (NDC): claims need to include NDC codes when the patient is taking prescribed or over-the-counter medications. The NDC directory is updated daily. Diagnosis-Related Group (DRG) codes: these combine ICD and CPT codes to determine the final amount that a hospital can be reimbursed. CMS assigns annually calculated weightings to DRGs based on severity and length of illness, treatment trends and other factors. There are also multiple coding directories for different specialties, such as dental care, mental health and patients with disabilities. With hundreds of thousands of constantly-changing codable terms to consider, medical coders face a daunting task. In the past, coders would rely on manual coding directories to find the right codes, but today, most use digital encoders and digital coding libraries to generate electronic codes. For example, Experian Health’s claims management software integrates government and payer edits so that no changes to coding requirements are missed. Each patient encounter can be processed in real time and incorrect codes can be flagged before the claim is submitted. 2. Automate the claims management process to increase medical billing and coding accuracy Manually matching each patient encounter to a specific set of codes is time-consuming and vulnerable to errors. Software programs improve the process by analyzing unstructured clinical charts and notes to draw out information relevant to the claim. They can cross-reference multiple coding directories in an instant to identify the correct code. They also compile data in standardized, interoperable formats so information can be exchanged between coding and billing teams, clearinghouse staff and payer systems with ease. While some of the output generated by machine learning systems still needs to be checked by human eyes, automated solutions drastically reduce the burden on staff and ensure greater accuracy. With automated claims management, medical coding and billing teams can optimize their workflows, submit cleaner claims, and get insights into the root causes of denials. Case study: see how Summit Medical Group Oregon – Bend Memorial Clinic used automated claims management technology to achieve a primary clean claims rate of 92%. 3. Eliminate workflow inefficiencies to save time According to the Council for Affordable Quality Healthcare (CAQH), automation could save more than an hour of staff time for every three claim status checks. Automation frees up staff to focus on the highest priority tasks that require a human touch. Fewer errors mean less time spent on reworking denied claims. And if claims are processed more quickly, this means that they reach the payer adjudication stage sooner which ultimately will result in faster payments. The medical coding and billing process takes anywhere from a week to a few months, so every hour saved makes a difference. To this end, Enhanced Claim Status monitors how claims are progressing through the claims adjudication process, reducing the amount of time staff need to spend interacting with payers. It eliminates manual follow-up and allows teams to address pending, returned, denied and zero-pay transactions before the Electronic Remittance Advice and Explanation of Benefits are processed. Worklists are generated based on actionable data so staff can work more productively, and claims get settled sooner. 4. Customize claims edits to your specifications One way to drive up medical coding accuracy is to use customized claims edits. Some claims management software solutions only apply updates using universal claim edits or using groups of edits. This doesn’t work for large medical groups that need to cover multiple combinations of payer, specialty and geographical edits. Since no two payer policies are the same, claims edits would need to be checked manually to make sure nothing has been missed. Experian Health’s claims management software solves this by incorporating government and commercial edits alongside client-specific customized edits. Providers can keep pace with changes and capture the requirements of all reimbursement policies that are relevant to a particular claim. For example, ClaimSource runs front-end claims editing to coordinate federal, state and commercial payer edits together with customized provider edits to avoid coding errors. Similarly, ClaimScrubber automatically reviews and adjusts claims, helping medical groups streamline claims submissions. 5. Upgrade record-keeping technology to maintain medical billing and coding accuracy If patient records are peppered with typos and outdated contact information, then it’s highly likely that errors will be inherited on claims forms. A fifth of patients have spotted errors in their health records, including incorrect details about diagnoses, medications and test results. Preventing these errors is key to maintaining medical billing and coding accuracy. Interoperable electronic patient records protect against inaccuracies by creating a single, complete record for each patient. With a tool such as Universal Identity Manager, patient data is matched against multiple data sources to verify that the record is complete and accurate. Staff can have confidence that all information held on a patient will be taken into account when their medical encounters are coded, and avoid coding discrepancies that can occur when a patient’s treatment doesn’t seem to match their diagnosis. 6. Double-check claims before submitting  Running a line-by-line review of each claim before it’s submitted means errors can be found and fixed before they result in financial losses. This would be a painstaking task to do by hand, but with tools such as ClaimSource and ClaimScrubber, hospitals and medical groups can audit claims automatically to check for coding discrepancies or missing patient information. A streamlined claims cycle benefits payers and patients too. Payers can adjudicate accurately coded claims more quickly without pushing them into a queue for manual review, and patients get earlier clarity about how much they’ll owe. 7. Audit the claims management process to spot medical coding inaccuracies Finally, it makes sense to undertake regular audits of the medical coding and billing procedures to weed out any recurring issues. While a coding audit will focus on coding accuracy and compliance, a billing audit can investigate the systems and processes involved in everything from patient eligibility verification to patient collections. This helps uncover recurring issues with under- and over-coding, use of redundant and retired codes, non-compliance and poor documentation. Again, maintaining robust, quality data and records will make this process easier. Partnering with a single, trusted vendor to deliver an end-to-end claims management solution can help achieve this. Find out more about how Experian Health’s automated claims management solutions can help healthcare organizations maintain medical billing and coding accuracy, drive down denials and create a more predictable revenue cycle.