Tag: state of claims 2022

There is growing concern that the healthcare industry needs more clinical and administrative staff to handle care demands. The crisis affects patients beyond treatment delays or lower care quality. Staff shortages in the revenue cycle create problems with patient engagement, billing, and collections. A recent Experian Health survey reveals unanimous concerns among providers about the challenges posed by workforce shortages. But what are the root causes of staffing shortages in healthcare? Is there a remedy for healthcare organizations struggling to find the talent they need? This article dives into the survey findings and the ways healthcare providers can address staffing shortages effectively. Finding 1: Staff turnover is a significant cause of healthcare staffing shortages. 80% of providers report turnover between 11-40%. Nearly one in 10 say turnover is between 41-60%. The causes of staff shortages were evident before COVID. A rapidly aging Baby Boomer population and limited availability of training in areas such as nursing led to predictions that looming staff shortages were on the horizon. The pandemic exacerbated the situation, leading to a mass exodus of workers and The Great Resignation. Some reports show healthcare lost 20% of its workforce, including 30% of nurses. Today, the average hospital turns over one-quarter of its staff annually, an increase of more than 6% from the prior year. As a result, the State of Patient Access 2023 reported nearly 50% of providers say access to care is worsening. Simultaneously, healthcare is bogged down with administrative tasks. Increasing evidence shows providers must turn to automation software to decrease human workloads and stretch small teams further. These automated tools can: Create a seamless registration process for patients to improve care access, reduce no-shows, and reduce provider administrative burdens. Provide 24/7 patient scheduling and put patients in charge with self-scheduling options Automate patient outreach to increase collections and improve communication. Improve claims management, reduce denials, and free up existing staff from manual tasks. Automation can improve the work-life balance of healthcare staff, potentially closing the revolving turnover door, one of the most significant causes of staff shortages. For example, IU Health implemented automated guided scheduling, which helped scale their operations, reduce scheduling errors and improve staff efficiency. Finding 2: Finding and hiring staff is an undue burden for healthcare providers. 73% of respondents said finding qualified staff is difficult. 61% reported that meeting entry-level staff's salary expectations is a challenge. Healthcare organizations feel the staffing crisis at every level. A recent Medical Group Management Association (MGMA) poll cited the difficulties in hiring revenue cycle staff: 34% of respondents stated hiring medical coders is their biggest challenge. 26% stated billers were difficult to find. One-third said finding schedulers and prior authorization staff is hard. Other hiring challenges included revenue cycle management (RCM) managers. When and if healthcare providers find staff, bringing them into the fold is costly. Experian Health's staffing survey showed most organizations struggle to meet the salary expectations of even the least experienced members of their teams. The causes of staff shortages can be remedied by leveraging new artificial intelligence (AI)-powered tools. Tools like AI Advantage™ can automate and transform claim denials management, a problem costing healthcare providers around $250 billion annually. Experian Health's State of Claims 2022 survey showed the most common causes of denied claims include: Missing or incomplete prior authorizations. Failure to verify provider eligibility. Inaccurate medical coding. AI Advantage reduces denial rates by scrubbing claims and flagging errors before submission. After claim submission, the software prioritizes the most high-value denials for correction to maximize revenue generation. Organizations like Schneck Medical Center use these tools to reduce denials by 4.6% each month. The facility also increased the speed of claims submissions. Tasks that used to take 12 to 15 minutes to rework now process in less than five minutes, lessening the need for hiring more staff and improving the workloads of their existing team. Finding 3: Burnout is a top contributor to staffing shortages. 53% of poll respondents said staff burnout is a key cause of the current staff shortage. 48% said the new expectation for schedule flexibility and hybrid work models also contributes to the healthcare workforce shortage. Burnout is one of the most significant causes of staff shortages impeding high quality care and wreaking havoc on the revenue cycle. The latest data shows the percentages of clinical and administrative burnout in healthcare is approaching or exceeding 50% in most job categories: 56% of nurses report burnout symptoms. 54% of clinical staff. 47% of doctors. 46% of non-clinical staff. Cost-cutting and increasing care demands have led to increasing fatigue in healthcare staff. But technology exists to automate back office functions that could free up staff time. For example, organizations like Kootenai Health saved close to 60 hours of staff time in over 8 weeks by automating the presumptive charity process Patient Financial Clearance. Stanford Health used Collections Optimization Manager to cut 672 hours each month from overburdened back office staff. The COVID pandemic also changed expectations about how and where Americans should work. Remote work became normal; three years post-COVID, 58% of the American workforce report working remotely at least one day a week. The same data also shows that when workers have the chance to work virtually, 87% take it. Healthcare is not immune to the desire for more schedule flexibility. Becker's Hospital Review states, “Many workers desire the ability to work remotely, even if they only get the option a few days a week. Flexibility allows people to maintain work-life balance—and in a high-burnout field like healthcare, balance can be crucial.” Surveys show 31% of healthcare roles are remote full-time while 14% offer this flexibility part-time. The problem is that many healthcare positions cannot allow this flexibility—and the industry competes with others that do. To remain competitive, healthcare organizations must embrace technology to offer work flexibility. Cloud-based digital technology is beneficial in areas like the revenue cycle. For example, automated technology from Experian Health can: Use advanced analytics to streamline workflows. Facilitate patient self-service. Minimize staff time spent on manual tasks. AI-powered automation tools can lessen staff burnout by allowing them to work smarter. These tools provide the workforce with the scheduling flexibility they desire. Eliminate the causes of healthcare staffing shortages with better technology AI and automation technology in healthcare can lessen worker fatigue, lighten workloads, and give administrative workers the schedule flexibility they demand. Experian Health offers healthcare providers better technology to improve the lives of their staff, increase patient satisfaction, and generate more revenue. Download the survey or connect with an Experian Health expert today to learn how we can help your organization tackle the causes of healthcare staffing shortages effectively.

Nearly three out of four healthcare leaders said reducing claims denials was their highest priority in  Experian Health's State of Claims Report. But knowing how to reduce claim denials is difficult. According to the survey, 62% of providers said they had insufficient access to data and analytics, and 61% lacked automation to meet the challenges of healthcare claims management. New and emerging artificial intelligence (AI) tools aim to help providers overcome these hurdles. Makenzie Smith, Product Manager at Experian Health, shares her thoughts on how providers can harness AI tools to predict, prevent, and prioritize claim denials for better results—and why preventing claim denials is so critical now. Q1: What is the challenge for revenue cycle teams, specifically when it comes to managing claims denials? “Revenue cycle teams that want to optimize claims processing have to respond to shifting payer behaviors, including major changes in the volume of denials,” says Smith. “Payers have been able to outpace providers in adopting new technologies, including AI. Payers are able process claims in a matter of seconds. For revenue cycle teams, that means receiving a large volume of denials all at once, which can be overwhelming.” At the same time, keeping up with policy changes is more than a full-time job. “You may have 20 different payers, each with multiple plans and policies that each have their own reimbursement or clinical guidelines,” says Smith. None of these policies are static: “They're constantly changing, which creates a huge challenge for providers.” Finally, maintaining enough staff to manage increased volume is an uphill battle. “The number of team members handling denials has not grown in a proportional way. Quite the opposite: They're being asked to do more with less. As providers continue to struggle with staffing imbalances, the challenge is not only having somebody to actually sit in these seats, but also managing the constant training and retraining that goes along with it.” Q2: Why is effective denial management so critical for providers' success?  “By one estimate, half of our country's hospitals are operating in the red,” says Smith. “Healthcare finance professionals are under incredible pressure to maintain or increase their operating margins. Meanwhile, Experian Health data shows that most organizations operate with an initial denial rate of 10% to 15%, and that rate is increasing year over year. “Effective denials prevention and management allow providers to get paid appropriately for services they've already provided,” Smith continues. “Optimizing revenue, improving cash flow, and maintaining expenses all stack up to provide meaningful financial resources providers can use on essential investments in staffing, physician recruitment and retention; capital equipment; and the expansion of services or service areas.” Providers that can't maintain healthy margins may be at risk for acquisition. “[Providers' viability is] put at risk daily because they must fight for every dollar from payers,” says Smith. Q3: How is Experian Health helping providers leverage AI tools and technology to start leveling up their denial management strategies? “Healthcare claims management technology solutions should be helping to bring providers up to speed,” Smith says. “Experian Health has released two products powered by a machine learning technical enablement layer to the market this year. Providers that use ClaimSource® to manage their claims can add AI Advantage™ tools to improve the way they manage claim denials. “AI Advantage - Predictive Denials uses AI and the provider's historical claim and remit data on the most probable reasons for medical claim denials to predict when claims will deny, in real-time, prior to claim submission. Billing teams can review denial predictions within their existing claim review workflows,” says Smith. “The design is incredible, allowing teams a seamless workflow integration with almost zero additional training.” “When denials do occur,” Smith continues, “AI Advantage - Denial Triage provides a predictive score based on the likelihood of recovery. Many denial follow-up teams prioritize working denials based on the highest charge amount. While that seems like a logical approach, there's a better way: segmenting by likelihood of recovery to drive priority and accelerate cash flow and recovery rates.” Q4: How is AI Advantage different from using human intelligence to predict and triage claim denials? “In some ways, it's quite similar,” Smith explains. “I was a director of billing for several years before I came to Experian Health. Often, one of the more senior billers would come to me and say, 'Hey, we're starting to see a trend with this payer, or with this denial reason code. We probably need to talk to our payer representative about this.' AI Advantage uses machine learning to identify these trends with greater speed and effectiveness, system-wide and in real-time. “Without this tool, one biller could see a denial happening twice and think nothing of it, while the biller sitting next to them is experiencing the same thing. This technology compiles all of this information together and identifies the holistic picture, so everyone benefits and trends don't go undetected.” Using AI in claims processing can make human teams more productive; it may help them feel empowered as well. Schneck Medical Center saw an average 4.6% monthly reduction in denials after six months of using AI Advantage. “Our people spend hours and hours on the phone with insurance companies fighting for dollars on claims we believe [are payable],” says Skylar Earley, Director of Patient Financial Services at Schneck. “Any leg up we can give our team members is a big, big deal.” Watch the webinar to hear from Eric Eckhart of Community Regional Medical (Fresno) and Skylar Earley of Schneck Medical Center as they discuss how their organizations use AI tools for claims management. Q5: What types of denials can providers expect to prevent, versus those that will continue to be denied? “Overall, the answer depends on a few things: an organization's healthcare claims denial management processes and ability to change on the one hand, and payer requirements on the other,” Smith says. “Too often, providers say they're just playing the game that payers put forward, simply so they can get paid what they are contractually owed.  As an industry, we cannot continue to accept this as the status quo. We'll find ourselves and our communities in a worse position to access healthcare.” Organizations that are willing to adopt new technology and be agile with their denial strategies can reduce their denial rates, even in a constantly changing environment. “I've seen the most success in denial prevention with eligibility, authorization, and technical billing categories,” says Smith. “But AI and machine learning are opening the door for new potential strategies that are more effective, more efficient, and more productive.” Q6: Clearly, claim denials affect providers, but patients also have a stake here. How do denied claims interfere with a positive patient experience? “There's definitely a patient impact,” says Smith. “Medical billing is already confusing, and a lot of people just don't understand their insurance to begin with. Add in potential denials and bills that seem to keep coming for months and months before getting resolved, and patients are bound to feel frustrated. Getting claims right on the first submission solves many of these issues up front. It reduces anxiety and makes for a much better patient experience overall.” Adding AI to the claims management toolkit Understanding how to avoid claim denials is a priority with good reason: Minimizing denials can improve revenue, lighten the burden on staff, and even help maintain a positive patient experience. Marginal changes make a difference: Smith notes that an increase in denied claims from 10% to 12% at an organization with $500 million in gross patient revenue represents a $2 million impact. Adding AI tools doesn't eliminate all the challenges of managing healthcare claims, but it does help equip providers for the current environment—and the future. Learn more about how AI Advantage can help providers prevent denials, improve the likelihood of reimbursements, and prioritize denied claims for reworking more efficiently and effectively.

With the ability to be applied across many different areas – from disease prediction to claims management and administrative tasks – data and analytics in healthcare is booming. In fact, according to a Grand View Research report, the global market for data analytics was valued in 2022 at $35 billion and is expected to increase at a compound annual growth rate of 21.4% until 2027. So, why the rapid growth? How can healthcare data analytics be used across the healthcare revenue cycle? The role of data and analytics in healthcare Historically, there has been a large amount of healthcare data being generated, but the industry has struggled to properly leverage this data into useful insights that improve patient outcomes, operations, or revenue. Today, with increasingly advanced data analytics, healthcare providers are using real-time data-driven forecasts to stay nimble and pivot quickly in rapidly changing healthcare and economic environments. And there is more data collaboration between healthcare organizations to convert analytics-ready data into business-ready information, thanks to the ability to automate low-impact data management tasks. Data-derived intelligence is also now easier to share with colleagues, third parties and the public. Types of healthcare data analytics methodologies and tools Healthcare data analytics involves several different types of methodologies and tools – all of which can be applied to various aspects of revenue cycle management. For example, descriptive analytics allows organizations to review data from the past to gain insights about previous trends or benchmarks. Predictive analytics, on the other hand, uses modeling and forecasting to help predict future results. When a strategic course of action is needed based on certain data inputs, prescriptive analytics is used. If a provider wants to take a deep dive into raw data to uncover patterns, outliers, and interconnection, they may employ discovery analytics. There are also generally three categories of technology-driven tools that can help collect and convert raw data into usable insights during the revenue cycle, including: Solutions that gather data from a wide variety of sources, such as patient case files, machine-to-machine data transfers, and patient surveys Programs designed to scrub, validate, and analyze data in response to a specific question being researched Software created to leverage the results produced by the analysis into actionable suggestions that be applied to meet specific goals Applying data analytics to maximize revenue “There are many things driving near-constant change in the healthcare revenue cycle, including shifting reimbursement, evolving value-based payment models, growing regulatory pressures, and increasing provider risk and patient responsibility,” says John Menard, VP of Product, Analytics, at Experian Health. “Healthcare organizations are also adapting to value versus volume reimbursement models, requiring revenue cycle leaders to lean into leveraging data analytics to improve not just operational efficiency, but patient financial experience and quality outcomes as well." Here's a closer look at how data analytics can help with revenue cycle management: Assessing patient finances From registration to collections, data analytics can play a key role at every step of the patient journey – and revenue cycle. Not only can the right data analytics tools help healthcare organizations better assess a patient's individual financial circumstances, but they can also help providers create accurate estimates and payment plan recommendations. Data-driven technology can help providers reduce surprise billing through more transparent pricing, helping patients navigate the cost of care and providing more timely patient communication. Digital solutions can help improve the patient financial journey by: Providing a self-service patient portal – With a solution like PatientSimple, patients get convenient 24/7 access to self-service account management tools. They can use the online portal to log into their healthcare account to securely process payments, request or review payment estimates, and schedule appointments. The portal also provides patient access to pricing information, plus the ability to apply for financial assistance or set up payment plans. With easy-to-use patient online tools, patients are more likely to meet their self-pay responsibilities and providers get paid more quickly as a result. Offering payment solutions – To collect payments with confidence, healthcare providers can utilize comprehensive data collection and advanced analytics through a digital solution like Patient Financial Clearance. With this solution, providers use a patient's financial data to quickly assess a patient's propensity and likelihood to pay prior to treatment. When appropriate, providers can then offer empathetic financial counseling and connect those that potentially qualify to financial assistance programs. By applying data analytics to this payment solution, healthcare organizations can increase point-of-service collections while reducing bad debt—in real-time. Providing patients with more accurate estimates – A recent Experian Health study found that 4 in 10 patients said they spent more on healthcare than they could afford. However, when patients know the expected cost of their care up front, they feel more empowered and make better decisions. Patient Estimates lets providers create more accurate estimates, eliminate manual tasks and improve patient satisfaction. Plus, it allows providers to automate and standardize their price transparency practices, which can help healthcare organizations meet regulatory requirements, create a more positive patient experience and increase revenue at the point of service. Reduce denied claims According to Experian Health's 2022 State of Claims survey, denied claims are on the rise with 42% of providers reporting that denials increased in the past year. 47% of respondents also said improving clean claims rates was a top pain point. Digital solutions can help providers reduce denied claims and increase revenue by: Automating claims management – With a solution like ClaimSource®, providers can automate their claims management systems – helping to ensure claims are clean before they are submitted to a government or commercial payer. Using an automated solution also allows providers to streamline the claims management process from a single web application. With ClaimSource, providers can easily analyze claims, payer compliance and insurance eligibility. Plus, it allows staff to prioritize their workload and focus on high-impact accounts – resulting in claims denial rates of just 4% compared to the industry average of more than 10%+. Optimizing efficiencies through artificial intelligence – Incorporating artificial intelligence (AI) into an automated claims management solution enhances the claims process in two key moments: before claim submission and after claim denial. AI Advantage™ integrates seamlessly with ClaimSource to continuously learn and adapt to ever-changing payer rules. The solution features two AI offerings, AI Advantage – Predictive Denials and Denial Triage, which can be customized to prioritization thresholds. Verify insurance and patient information Missing patient healthcare data can be a headache for providers to hunt down but looking for active coverage is often necessary. Providers must contend with a range of factors impacting patient coverage – including forgotten coverage, inadequate coverage, patients being misclassified as self-pay and regulatory changes, particularly with Medicaid and Medicare coverage. Implementing digital solutions can help providers use data to verify and find missing patient health insurance coverage, optimize patient collections, and boost revenue by: Utilizing automated, real-time insurance verification – Verifying patient coverage prior to service using a digital solution, such as Experian Health's Insurance Eligibility Verification. This tool can help providers experience fewer payment delays and claim denials. Plus, verifying insurance with automated insurance eligibility and benefits data improves cash flow, reduces claims denials and speeds up payments, including Medicare reimbursements. Patients also feel empowered with accurate payment estimates and accelerated registration, leading to a better patient experience overall. Improving collections with better data – With Collections Optimization Manager, providers can screen out bankruptcies, deceased accounts, Medicaid and other charity eligibility ahead of time. Through targeted collection strategies, providers can leverage actionable insights to focus on high-value accounts. Plus, predictive algorithms and data-driven rules help providers route and distribute accounts to the right collectors and agencies, controlling overall collection costs. This solution also connects providers to live support from an experienced optimization consultant that will help develop a tailored collection strategy through data evaluation and industry knowledge. Finding unidentified coverage – In 2022, Coverage Discovery tracked down previously unknown billable coverage in 28.1% of self-pay accounts, finding more than $64.6 billion in corresponding charges. Providers can use Experian Health's Coverage Discovery solution at any point in the revenue cycle to look for previously unidentified coverage – maximizing insurance reimbursement revenue and reducing accounts sent to collections, charity, or bad debt. Coverage Discovery also automates self-pay scrubbing and proactively identifies billable Medicare, Medicaid, and private insurance options, using a mix of search, historical information, proprietary data sources and demographic validation. See how the right data and analytics can help providers better understand their patients, streamline operations, and improve revenue.

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.

Could the era of manual claims processing be coming to an end? Experian Health's State of Claims 2022 survey revealed that more than half of healthcare providers have embraced advanced automation, freeing up staff from time-consuming and inefficient manual tasks. Automation has dominated as the key strategy used by providers to reduce denials in the previous 12 months. This evident optimism about technology's ability to address challenges in the claims process suggests that automation is here to stay. However, while automation has cracked open the doors to more efficient claims processing, the predictive power of artificial intelligence (AI) in claims processing can unlock exponentially higher rates of reimbursement. Providers may be increasingly aware of the benefits of automation, but many have yet to step into the world of AI. This article considers the advantages to be found in layering AI technology on top of automated claims processing and looks at how two new AI solutions are helping providers reduce denials and expedite payments.  How automation helps with claims processing Healthcare organizations with automated claims processing report improvements in speed, accuracy, financial performance and patient experience. For example: Automated claims management solution ClaimSource® helped Hattiesburg Clinic in Mississippi accelerate cash flow, reduce denials to 6.1%, and expedite claims from secondary and tertiary payers. Summit Medical Group Oregon used Enhanced Claim Status and Claim Scrubber to reduce accounts receivable days by 15% and achieve a first-time pass-through rate of 92%. These tools improve efficiency across the entire claims cycle by automating repetitive tasks, executing effective workflows and generating data-driven insights into root causes of denials so staff can prioritize high-impact tasks and errors are far less likely. Industry reports corroborate these positive results: CAQH reports that the medical industry could save as much as $22.3 billion per year through further automation. Unlocking the untapped potential of AI in claims processing Despite automation's impressive results, claim denials remain a thorn in the side of many revenue cycle leaders. This is where AI can help, thanks to its ability to predict and respond to payer behavior and claims data. But while 51% of survey respondents were using automation, only 11% had introduced AI-based technology to their claims process. For the AI-curious, combining automation and AI could be a good starting point to supercharge claims processing. AI technology can predict potential issues before they even occur by analyzing claims and denials and making suggested corrections or interventions in real-time. It can also assist in identifying fraudulent claims and denials, leading to improved claims processing accuracy and revenue cycle management. By using automation and AI together, healthcare providers can gain better insights into their claims and denial data, resulting in improved financial performance and greater efficiency. What does that look like in practice? More efficient and accurate claims predictions Automation can relieve staff of manual data handling activities, increasing the speed and accuracy of claim processing, from patient intake through scrubbing, submission and adjudication. AI enables staff to perform remaining tasks with greater confidence and accuracy. They no longer need to wonder, “which claim should I rework first?” – AI has the answer. Without AI, the logical approach would be to rework what appear to be the highest-value denials first. But in many cases, these aren't the ones most likely to result in reimbursement. AI can help staff prioritize by analyzing historical payment data and undocumented payer adjudication rules to flag denials that are most likely to be paid. This is exactly how AI Advantage™ – Predictive Denials works. Experian Health's new AI-based solution checks for any changes to the way payers handle denials and assesses these against previous payment behavior. Providers can set their own threshold for the probability of denial, and if the solution determines that a claim will exceed this threshold, it alerts staff so they can act quickly and decisively before the claim is submitted. Schneck Medical Center was an early adopter of this tool and used it to complement their existing claims workflow (built around ClaimSource®). Within six months, they saw average monthly denials drop by 4.6%. Predictive alerts allowed staff to focus efforts on submitting clean claims the first time, so both the number of denials and hours spent reworking them were drastically reduced. “Learning” from denials data to drive financial performance By definition, automated claims processing systems will repeat the same tasks over and over. This is great for operational efficiency but has limited capacity to handle variation. A major advantage of an AI-based solution is its capacity to “learn” and predict, so each claim can be individually assessed and directed to the most appropriate workflow. AI Advantage™ – Denial Triage uses advanced algorithms to identify and intelligently segment denials so that providers can prioritize accordingly. Just as Predictive Denials uses historical payment data to predict the claims that may be at risk of rejection, Denial Triage learns from payers' past decisions to predict the denials that are most likely to be reimbursed if reworked. Read more about Schneck Medical Center's experience with AI Advantage. How does using AI benefit healthcare staff? The use of AI in claims management can be met with different reactions: some staff are enthusiastic about the prospect of having manual tasks taken off their plate and being able to use their time more effectively. Others may be concerned about the impact of AI on jobs and recruitment. The reality is that many providers face ongoing staffing shortages, and therefore have little option but to augment their existing teams with new technology. Maintaining pre-pandemic headcounts in light of post-pandemic work patterns and budgets may not be possible. Automation and AI can resolve these short-term challenges while generating a positive ROI in the long term, as the volume and complexity of claim denials continue to grow. As noted in the State of Claims 2022 report, technology should no longer be viewed as a threat to jobs, but as a way of making life easier for staff. Automation and AI work hand in hand to execute tasks that many staff find time-consuming and laborious, leaving the more stimulating and high-value tasks for the human workforce. Improving operational performance can therefore have a positive effect on job satisfaction and retention. The integration of AI in claims processing is not about replacing human expertise, but about harnessing the power of AI-powered algorithms to enhance efficiency and minimize denials. The optimal approach lies in combining the strengths of automation, AI and staff. Automation handles repetitive processes, AI expedites decision-making, and human expertise brings contextual understanding and empathy to the process. Learn more about how Experian Health can help organizations utilize AI in healthcare claims processing with AI Advantage.

The consequences of failing to properly verify patient insurance eligibility can wreak havoc on the healthcare revenue cycle. Incorrect patient information, expired policies and missing pre-authorizations can all contribute to denied claims and delayed payments. But with patients bearing a greater responsibility for the cost of care and switching health plans more often, verifying eligibility has become more complex. As patient volumes grow, manual verification processes are increasingly vulnerable to errors. Health insurance eligibility verification software helps providers solve this problem. Few things are more frustrating for healthcare leaders than costly denials that could have been avoided. In a survey by Experian Health, one in three healthcare executives said claims are denied 10%–15% of the time, costing billions of dollars in lost revenue. An automated solution that eliminates errors and reduces denials could pay big dividends across the revenue cycle. This article breaks down the key revenue-boosting benefits of health insurance eligibility verification software: What is eligibility verification? Eligibility verification is the process of checking that a patient’s insurance information is correct and that the services they are seeking are covered under their existing plan. Providers are responsible for verifying the patient’s enrollment status before offering care. Once active enrollment is confirmed, providers will also need to verify the benefits included in the patient’s plan, to be sure that the cost of specific services and items will be covered. This involves the following steps: Checking the patient’s identity and contact information and ensuring that the details on their insurance card match their electronic health record Determining whether the patient’s insurance plan covers the services they expect to receive and that no exclusions apply Confirming that the patient is eligible for proposed services or treatment, for example by ensuring that any pre-authorization or referral requirements have been fulfilled Double-checking that the patient’s coverage is active and that they haven’t exceeded any annual or lifetime limits. "If providers don’t have a full picture of the patient’s payable benefits, deductibles, co-pay thresholds out-of-pocket maximums, and other policy details, they run the risk of non-reimbursement," says Kate Ankumah, Product Manager at Experian Health. "For that reason, these checks should be carried out before a patient’s appointment or procedure, to prevent awkward billing issues and delayed payments. This gives providers peace of mind that they’ll be reimbursed for the services they provide and accelerates patient registration." Carrying out these checks manually can be a time-consuming and laborious process. Staff must check individual payer websites and portals or phone insurance companies to get hold of the necessary information, all while speaking to the patient. Batch processing by medical claims clearinghouses can be a more efficient way of managing eligibility checks, though individual accounts may take longer to clear. What are the benefits of using health insurance eligibility verification software? Given the scale and impact of eligibility checks, many providers turn to insurance verification software to streamline the process and achieve higher levels of accuracy. This offers several benefits to providers and patients: Reduced risk of bad debt - In the world of healthcare claims, errors are expensive. Eligibility verification software can pull from multiple data sources at the click of a button, to give an instant and accurate read-out of a patient’s current insurance details and identity information. Reliable data helps prevent billing errors, thus reducing the risk of disputes with insurance companies. Providers are less likely to bill for services that aren’t covered by the patient’s insurance. Improved patient experience - Billing errors and delays are also major sources of stress for patients. The mismatch between estimated and actual costs is a common complaint. With 3 in 10 patients feeling unable to pay a $500 bill, providers must take steps to provide clarity around the billing process. Automated pre-service eligibility checks help to inform patients of their financial obligations so they can plan accordingly. The software can also support the delivery of tailored, proactive communications to patients, to avoid misunderstandings and queries. Patients are more satisfied with their overall payment experience, while providers see fewer payment delays. Increased revenue - The cost of eligibility errors goes beyond revenue lost through claim denials. If a patient’s insurance information isn’t checked properly, providers bear the financial burden of productivity losses, delayed patient payments, and reputational damage. Eligibility verification software can root out potential mistakes lurking beneath the surface so that claims and communications are correct the first time. By minimizing denials and helping to find missing coverage, this software maximizes reimbursement and accelerates payments. Optimized operations - As noted, using eligibility verification software instead of manual processes can result in significant productivity and efficiency gains. The CAQH reports that electronic eligibility and benefits verification could save medical providers 21 minutes per transaction, amounting to a potential cost saving of nearly $10 billion per year. Automation can release staff from time-consuming calls to insurance companies, reducing their workload and freeing them up to help patients with more complicated needs. This creates a positive patient experience while easing the pressures of staffing shortages. By improving overall revenue cycle management, verification software can increase financial stability. Key features to look for when choosing insurance eligibility verification software By now, most providers will be familiar with automation’s promise of speed, efficiency and accuracy.  To fully capture these benefits, providers should choose a software solution with certain key features. Real-time updates allow providers to confirm patient eligibility instantly, without falling foul of any changes to the patient’s coverage that could hamper reimbursement. For example, Experian Health’s Insurance Eligibility Verification solution connects with over 890 payers so providers can access up-to-the-minute eligibility and benefits data. Optimized search functionality increases the likelihood of finding a patient match. An optional Medicare beneficiary identifier (MBI) lookup service finds and validates MBI numbers, ensuring timely reimbursement, which is especially important as COVID-19 funding comes to an end. Next providers should look for a user-friendly interface. Insurance Eligibility Verification adapts responses from multiple payers so that registrars can access patient details in a consistent format, regardless of the original layout. Customizable alerts notify staff when action is needed. A major advantage of automated solutions lies in the possibility for more detailed reporting and analytics. A tool that synthesizes performance data can provide at-a-glance status updates for senior managers and help staff identify opportunities for improvement. Similarly, providers should look for a tool that fits neatly with their existing electronic systems and interfaces, to fully leverage data analytics and streamline operations. Integration with electronic health records can fast-track verification and registration by providing a single source of truth regarding patient information. Existing Experian Health clients will be able to access Eligibility Verification through eCare NEXT®, providing a single interface from which to manage several patient access functions. Automated verification: a smart investment? Rachel Papka, Director of Health Systems at Steinberg Diagnostic Medical Imaging says Experian Health’s eligibility products have helped her team to validate patient coverage in under 30 seconds: “The Eligibility and eCare NEXT piece allows us to see if the patient is eligible with the insurance they just presented quickly and in real-time – in under 30 seconds. As I'm facing the patient, I'm not hiding behind a phone. I'm not trying to log on to a different website. I'm literally interacting with the patient at the time of service with the eCare NEXT platform, and it's telling me their deductible or coinsurance or co-payments, and I can accurately collect from that patient right there. And it directly writes into my electronic medical record, so users only need to use one system.” For the 3 in 4 healthcare executives who said reducing denials was their top priority, automated insurance verification could be a wise investment. Find out more about how Experian Health’s health Insurance Eligibility Verification software could hold the key to streamlined claims management, fewer denials and faster cash flow.

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.