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.

Finding previously unidentified insurance coverage is a high-stakes treasure hunt for healthcare providers. If patients are unaware of active coverage or eligibility for Medicare and Medicaid, they will be left footing a bill that could have been covered by a payer. If they can't afford it, their account may end up being written off to bad debt, and providers will miss out on reimbursement opportunities, leaving millions of revenue dollars on the table. Hunting down missing or forgotten coverage on the spot is a challenge for providers, particularly if the patient does not have a Social Security Numbers (SSN) or the payers in question do not use SSNs to verify eligibility. It's a problem worth solving though and can improve the patient financial experience while preventing avoidable revenue loss. The shift away from Social Security Numbers Historically, providers have used demographic information like Social Security Numbers (SSN) to verify patient identities and locate coverage information. Without a unique patient identifier, SSNs were a stable way to link a person's health information across multiple health systems and payers. However, the use of SSNs for identification and verification purposes has dropped in recent years due to concerns about patient privacy and the risk of identity theft: SSNs give identity thieves a mechanism to assume a person's identity and access financial information and health records illegally. Moreover, SSNs are unreliable identifiers, as it is possible for more than one person to use the same number. Recognizing the need for more secure and trustworthy identifiers, many payers have moved away from SSNs. In 2018, the Centers for Medicare & Medicaid Services began the process to remove SSN-based Health Insurance Claim Numbers (HICNs) from Medicare cards, replacing them with Medicare Beneficiary Identifiers (MBIs). These are now the primary means of checking a person's identity for Medicare transactions like billing, eligibility status and claim status. Similarly, many health plans also shifted away from using SSNs as primary identifiers, instead opting for member IDs or other secure identifiers to verify and track coverage for their members. Find billable coverage with historical data With demographic searches on the decline, providers need a more efficient and reliable way to search for coverage. As a data-driven company with a historical repository of claims data, Experian Health is uniquely positioned to help providers search for coverage. Combining search best practices, multiple proprietary databases and historical information, Experian Health's Coverage Discovery® locates patients' billable commercial insurances that were unknown or forgotten, and combs through Medicare and Medicaid coverage. This flags accounts that may have been destined as a write-off or charity and maximizes reimbursement revenue by identifying primary, secondary and tertiary coverage. Not only do fewer accounts go to bad-debt collections, but providers can automate the self-pay scrubbing process. In 2022, Coverage Discovery tracked down billable coverage in almost 30% of self-pay accounts and found more than $64.6 billion in corresponding charges. Closing the coverage gap caused by Medicaid disenrollment Coverage Discovery offers another important benefit: helping providers offer additional support to patients on lower incomes who find themselves without Medicaid, at least for a short time, following the end of continuous enrollment. As of July 2023, more than 1.6 million Medicaid enrollees were disenrolled. Providers can use the tool to confirm whether Medicaid coverage remains in place, or to uncover any additional billable government or commercial insurance that could give patients peace of mind. Patient Financial Clearance can also help screen patients for Medicaid eligibility before or at the point of service, then route them to the Medicaid Enrollment team or auto-enroll them in charity care if appropriate. Case study: Read the case study to find out how Luminis Health used Coverage Discovery to locate $240k in billable coverage each month. Leverage technology to locate unidentified coverage Thanks to advanced tools like Coverage Discovery and Patient Financial Clearance, it's much easier for providers to locate alternative coverage options for patients, using multiple sources of data. These tools leverage secure identifiers and comprehensive searches across databases, allowing providers to reclaim revenue that may otherwise go unclaimed, and reassuring patients that they won't be left holding an unexpected bill. Find out more about how Coverage Discovery can help find previously unidentified coverage and reduce bad debt.

Too often, resource pressures force providers to treat revenue cycle management as a reactive process. But with avoidable denials leaving thousands of dollars on the table, fixing problems after the fact is often a more expensive strategy. Investing in prevention on the front end can help providers minimize the risk of future revenue loss. This article looks at how providers can use automated prior authorizations to drive front-end revenue cycle growth, and fix revenue leaks before the denial dam bursts. Understanding the front-end of the revenue cycle Revenue cycle management includes all the activities involved in making sure hospitals and health systems get paid for their services. The front end of the revenue cycle includes the non-clinical processes that take place before a patient receives care, broadly referred to as 'patient access.' This can be broken into four stages: Scheduling and registering for care, including checking all patient information is current and correct Verification of insurance eligibility and benefits, to ensure planned services will be covered by the patient's plan Obtaining prior authorizations, to prevent claim denials Collection of co-pays and deductibles from patients before or at the point of service. Billing and claims management workflows must be set up so patients, payers and front- and back-office teams can share the information needed to expedite reimbursement. Accuracy and efficiency are essential at each stage of the front-end of the revenue cycle to prevent bottlenecks, errors and delays down the line. The longer errors lurk in the workflow, the more opportunities they have to damage the health system's financials. Front-end errors lead to denied claims later and more work for back-end staff Prior authorizations are a prime example: failure to secure the correct authorizations for treatment or services ahead of time can result in claims being rejected by payers. Time-consuming rework compounds the loss with hefty staffing and outsourcing bills. By the time the provider gets the amended paperwork in order, they've lost all leverage with the payer. It's a major concern as denial rates increase. Here are a few common prior authorization pitfalls to watch out for: The patient provides incorrect insurance information, which means the provider may fail to seek authorization from the right payer Inefficient operations and poorly defined processes allow inconsistencies and admin errors, such as wrong billing codes or misspelled names, to pass through the system undetected Frequent changes to payer requirements can be missed, so providers are working with outdated information Authorizations aren't obtained for the patient's entire treatment plan, leading to rework and treatment delays. A survey by the Association for Clinical Oncology found that 96% of respondents had seen a patient's care delayed because of prior authorization issues. Beyond these worrying harms to patients, the survey also revealed that 47% of practices spent more than 40 hours a week dealing with authorizations. Exploring solutions that will speed up prior authorizations can mitigate or eliminate these errors and delays. Front-end revenue growth starts with efficient prior authorizations As one of the top three reasons for denials given by providers in the State of Claims 2022 survey, prior authorizations are a logical target for front-end improvements. Prior authorization software helps providers get ahead of the above pitfalls by flagging authorization requirements early. Patient access teams can detect and resolve potential errors before they escalate, reducing the risk of rejected claims and appeals. Neeraj Joshi, Director of Product Management, at Experian Health, says that one of the big struggles for healthcare providers is that the prior authorization process is often still manual: “Automation has gained traction in many tasks within the revenue cycle, from patient access to claims management, but shifting to automated prior authorizations could offer one of the biggest returns on investment. Manual authorizations are time-consuming, error-prone and, all too often, a source of miscommunication. Shifting to automated authorization management can eliminate these obstacles and fuel revenue growth.” Experian Health's online prior authorizations solution automates 100% of inquiries, saving valuable staff time. Status checks happen without user intervention. Patient and payer data is auto-filled automatically, and users are guided through the workflow and prompted to make manual interventions only when absolutely necessary. Users can have confidence in the accuracy of the pre-filled data because the tool taps into Experian Health's Knowledgebase, which stores and updates national payer requirements in real-time. Users can also customize local and community rules, so no requirements slip through the net. By reducing costly denials and lowering labor costs, these set the stage for sustainable growth throughout the rest of the revenue cycle. How online prior authorizations can improve end-to-end revenue management Obtaining prior authorizations more efficiently is just the first step toward building a thriving revenue cycle. The promise of fewer denials might steal the headlines, but the benefits of automation resonate throughout downstream processes. For example, an automated online system enhances wider pre-registration processes by giving staff real-time visibility into the likelihood of a treatment being authorized. Staff can verify approval instantly, rather than turning patients away at check-in. This also makes it easier to generate accurate, upfront estimates of what the patient will owe, so they can plan for their own financial obligations. A positive patient experience can lead to faster patient collections and higher retention rates, which both boost revenue growth in the long run. Another ripple effect comes from the early verification of patient and payer information. These processes can surface data errors that, if left unchecked, could impede effective claims and billing workflows. This shows how a single authorization can have an outsized effect on overall revenue management performance – and why it's so important to get authorizations right the first time. Front-end efficiencies lead to a more predictable revenue cycle Providers that choose to use prior authorization software can amplify the benefits by integrating it with other online and automated solutions. Experian Health's prior authorizations tool fits seamlessly with the eCare NEXT® revenue cycle suite, which automates the entire revenue cycle workflow from insurance eligibility verification to secure patient payments. The interoperability of these tools means data can be shared from one system to another with ease, and reports can be generated and viewed on a single dashboard. With better data and analytics, users can make better predictions about their revenue cycle performance and find opportunities for further improvements. Similarly, providers can leverage the predictive power of analytics with AI-based technology. Experian Health's new AI-driven claims management solution, AI Advantage™, uses AI to predict claims that are likely to be denied, based on historical payment patterns. It checks for any undocumented payer adjudication rules, including prior authorization requirements, to make sure no essential information is missing before the claim is submitted. In a recent webinar on the future of claims management, Skylar Earley from Schneck Medical Center shared his experience with the new technology. He attributes the tool's success to its ability to make increasingly accurate predictions: “Since implementing this technology, we're continuing to see AR days decrease at our organization. One result that we're really excited about is seeing the number of authorized outpatient visits increase by about 2.5%. For anyone that deals with prior authorizations and denials related to prior authorizations, this is incredibly promising.” As authorization requirements increase in volume and complexity, providers need to be proactive in their response. Automation and digital technology can arm providers with the data and tools they need to speed up prior authorizations and drive revenue growth from step one in the revenue cycle. Find out more about how prior authorization software can support efficient front-end revenue cycle processes by creating opportunities to maximize cash flow from the start.

Payers are using automation to adjudicate healthcare claims at scale, leaving providers struggling to keep up. One major insurer was found to have denied over 300,000 claims in two months, with each one taking an average of just 1.2 seconds. Providers that continue to rely on manual claims management methods will see their margins squeezed as the denials challenge grows. The future of healthcare claims management is here - and the answer lies in artificial intelligence (AI). Providers can level the playing field by turning to AI and automation , using tools like AI Advantage™ to streamline healthcare claims management. This article summarizes a recent webinar with two early adopters, Eric Eckhart of Community Regional Medical Center (Fresno) and Skylar Earley of Schneck Medical Center, who are using the technology to prevent denials and increase collections. Small increases in claim denials can lead to major revenue loss Makenzie Smith, Product Manager for AI Advantage at Experian Health, set the stage with observations on the current state of claims management. She notes that one of the biggest challenges when it comes to denials is constantly shifting payer behavior: “So many payer decisions are now being driven by artificial intelligence. Insurers are reviewing and denying at scale using intelligent logic, leaving providers fighting harder for every dollar.” Two hypothetical scenarios illustrate the potential impact of just a 2% increase in denials, assuming other variables remained constant: In an organization with a gross patient revenue (GPR) of $500m, an increase in denials from 10% to 12% could squeeze operational margins from 3% to 2.6%, resulting in a drop in net income from $15m to $13m. In an organization with a GPR of $2000m, an increase in denials from 18% to 20% could wipe out a 0.35% margin completely, causing net income to fall from $7m to 0. Some providers are choosing to stick with their existing processes; changing course seems too risky within thin margins. But as Eric Eckhart points out, “the just-work-harder approach doesn't work anymore.” Providers need a more efficient way to sustain operating margins. How AI Advantage helps reduce denial volume and improve net collections AI technology is emerging as a better alternative to the status quo. By using automation and AI, providers can gain insights into their claims and denial data, resulting in improved financial performance, greater efficiency and improve the future of healthcare claims management. AI Advantage™ – Predictive Denials uses AI to identify claims with a high likelihood of denial based on an organization's historical payment data. This allows staff to intervene prior to claim submission. It identifies undocumented payer adjudication rules that result in new denials. It works within Experian Health's ClaimSource® solution to proactively flag at-risk claims, allowing teams to review them within their existing claims workflow. Key takeaways from 2 real-world examples of AI in healthcare claims management Eckhart and Earley share how they are approaching denial prevention in today's fast-changing claims environment. Below are the key takeaways from their conversation about how AI is helping to optimize reimbursement and support their teams: Providers need to move beyond the “just work harder” approach to claims management Eckhart says that staffing challenges were a major driver of his organization's early adoption of AI Advantage, as it became harder to manage the increasing rate of denials with existing resources: “I think we've all tried the “let's work very hard approach” and worked overtime for months on end, but that's just not a long-term solution. We were looking for something technology-based to help us bring down denials and stay ahead of staff expenses. We're very happy with [AI Advantage] and the results we're seeing now.” Skylar Earley agrees, saying that despite their efforts, the rate of denials stayed the same. “It's so important for us to reduce denials because costs are increasing, reimbursements are decreasing, payments are shrinking. In our smaller community, there are only so many ways to grow revenue. We've got to maximize reimbursement, however we can.” Discover how Schneck Medical Center used AI to prevent claim denials.   Seamless integration with ClaimSource® was key to staff adoption While senior leadership teams may have been on board with testing the new technology, staff members were more hesitant about the potential pitfalls of introducing a new tool. Eckhart says, “Experian were already processing our claims through Claim Scrubber, so the workflow was essentially the same. I got some pushback when I said it was AI. I think the biggest fear for my billers was that they were going to get 5000 alerts that they would have to override and ignore. But we phased it in slowly and that was a good approach.” Earley agrees: “This is probably one of the most seamless products I've seen: it's entirely in ClaimSource®. If you didn't know about it, you wouldn't know it was there. The people using the product don't toggle back and forth between screens, they don't run reports to view alerts. The product shows them what claims they need to look at.” The predictive model gives staff their time back – so savings snowball For both organizations, a big win from AI Advantage was being able to reduce denials so staff could focus on other tasks. Making better use of staff time is increasingly urgent as the growth in denied claims outpaces recruitment. Eckhart says that over the last six months, his team have saved 30 hours a month in collector time. “Now I have almost a whole week a month of staff time back, and I can put that on other things. I can pull that back from outsourcing to other follow-up vendors and bring that in house and save money. The savings have snowballed. That's really been the biggest financial impact.” Reducing denials with accurate predictions Eckhart and Earley report that the success of the tool comes down to the accuracy of predictions, and the fact that it uses their own data. This applies to claims submitted to commercial and government payers, including prior authorizations. For example, Schneck Medical Center is seeing an ongoing reduction in AR days, while the number of authorized outpatient visits has increased by around 2.5% since implementing the technology. In addition to improving claims management processes, AI Advantage also helps root out persistent payer errors. Eckhart says that while denials teams tend to focus on high value claims, smaller payers can sometimes make erroneous denials that add up over time. The tool brings this to light so providers can raise it with the payer and fix it going forward. The future of healthcare claims management is here Ultimately, every prevented denial means more dollars coming back to the provider, increasing their capacity to deliver high quality services. Revenue growth makes it possible to recruit more staff, reduce outsourcing, increase capital purchases, introduce new service lines, and even explore merger and acquisition strategies. Payers are already making strides in their use of AI technology and automation, but with AI Advantage, providers can process accurate claims and reduce denials at a scale and pace to match. Find out more about how AI Advantage™ is changing the future of healthcare claims management and watch the webinar to hear the full conversation on 'The Future of Claims Management. Today.'  

Could patient access software be the 'most valuable player' in healthcare? Experian Health's annual State of Patient Access surveys show an upward trend in the use of digital tools and software to help minimize the hoops patients must jump through to access care. In the most recent, 46% of providers said they expected to increase their digital investment over the next six months. The business advantages around increased capacity, reduced cancellations, improved data accuracy and higher patient satisfaction make a strong case for investing in patient access software. This article looks at how patient access tools can solve for some of the most stubborn problems in patient scheduling, registration and payments. Finding the formula for frictionless patient access Revenue cycle management comes down to minimizing service utilization while maximizing revenue potential. This starts with patient access. Efficient scheduling, intake and financial processes means more patients get better care, sooner – and providers get paid for their services without delay. Patient access software includes a range of digital and self-service tools that allow patients to complete administrative patient intake tasks with ease. Appointment management, patient registration, patient outreach, and patient estimates and billing are common use cases for patient access software. These solutions use in-depth data and automation to pre-fill patient information, check data for accuracy and completeness, tailor patient communications and accelerate workflows. Advances in AI and machine learning are creating new opportunities to remove obstacles in patient access and boost patient satisfaction. 5 problems that can be solved with patient access software 1. Painfully slow scheduling operations  Problem: Too often, patient access processes are complex and time-consuming. Over time, small frustrations from errors, delays, and repetitive manual tasks can cause a significant decline in the patient experience. It's unsurprising that 56% of patients want digital options to manage care and speed things up. Solution: Patient access software makes it easier for patients to see their doctor without delay. For example, rather than being forced to call the provider's office and wait for an agent to check for an available slot, patients can use online scheduling software to book, reschedule and cancel appointments whenever suits them best. This also alleviates call center volumes, easing pressure on staff. 2. Error-prone registration processes Problem: Manual intake and registration systems are vulnerable to quality issues, resulting in denied claims, increased admin costs and delayed access to care. Illegible writing, incomplete insurance information and missing forms mean patients and staff must spend more time going back and forth to find and fix mistakes. And at the extreme end of the spectrum, data errors can lead to medical errors, with life-or-death consequences. Solution: Automated patient registration can pull patient data from reliable sources and fill out basic details ahead of time, reducing the need for manual data entry. Preventing avoidable errors in this way improves communication, workflows and profitability. For example, Registration Accelerator is a text-to-mobile patient intake solution that allows patients to complete appointment registration from the comfort of home. The patient takes a photo of their insurance card and driver's license, and then optical character recognition (OCR) technology automatically enters the correct information for insurance verification. The patient can review and sign authorization and consent forms, and confirm their appointments all at once, with just a few clicks. 3. Excessive (and growing) admin burdens and staffing shortages Problem: Patient access is admin heavy. This wastes valuable staff time and resources and diverts attention from patient care. With healthcare staffing shortages reaching emergency levels and patient volumes on the rise, providers must find ways to manage workloads while maintaining output. Solution: By automating administrative tasks and expanding self-service options, patient access software takes the pressure off busy teams. In Experian Health's survey, 36% of respondents reported that technological improvements offset staff shortages, by making better use of staff time and lowering operational costs. Automated prior authorizations are a good example of how digital tools can help tame the admin burden. This software generates real-time updates for multiple health plans, so staff no longer need to cross-reference individual payer policies and websites. It uses exception-based workflows and guided work queues to help staff prioritize their activities. Patient access tools can also issue performance reports, so staff can continue to find ways to work more efficiently. Cutting-edge technology also offers a less obvious but equally important competitive advantage – helping providers attract and retain high quality staff. 4. A patient experience that falls short of expectations Problem: Unnecessary administrative obstacles, unclear communication, and slow processes result in subpar patient experiences. More than 6 in 10 patients don't think their experiences have improved much in the last few years, despite the wider availability of digital patient access tools. Providers need a solution urgently, given that 56% of patients would switch providers for a better patient experience. Solution: With automation and self-service digital tools, providers can finally put patients in the driver's seat and deliver the patient-centered experience that has been promised for years. Patients say they want access and payment experiences to be convenient and transparent, with specific examples including: Accurate pre-care estimates Payment plans Digital payment options A multi-purpose portal Mobile access for scheduling, registration, communications and care Alex Harwitz, VP, Digital Front Door at Experian Health, says that while this list may seem daunting, providers have reason to be optimistic about delivering a better patient experience: “Patients want a lot from the digital front door, especially younger and digitally savvy consumers. Speed, convenience and compassion are through-lines in our patient surveys. As expectations increase, so does the pressure on providers to deliver. But the good news is that technology is advancing too. There's a wealth of patient access software ready to help optimize the patient experience. And you don't have to implement them all at once: Experian Health's patient access tools are specifically designed to work independently or in combination, for hassle-free implementation.” 5. Missed revenue opportunities Problem: Missed appointments, billing mistakes and operational inefficiencies lead to avoidable revenue leakage. A significant portion of denied claims occur earlier in the revenue cycle, so improving patient access processes should be top of the list when it comes to optimizing revenue. Solution: Revenue loss in patient access comes down to data errors, poor analytics and workflow inefficiencies. By leveraging the right software, front- and back-office teams can collaborate to resolve issues and enhance decision-making. Digital tools can also improve the patient billing and payment experience, so providers get paid promptly. Upfront price estimates, payment plan recommendations and one-click payment options can make it easier for patients to understand and pay their bills. Implementing transparent and empathetic billing procedures not only enhances patient satisfaction but also accelerates the collection process. With Experian Health's Patient Payment Solutions, providers can collect payments 24/7 via mobile, web and patient portals. Maximizing revenue opportunities while meeting the changing needs and expectations of healthcare consumers calls for smart patient access strategies. Find out more about how Experian Health's patient access software helps healthcare organizations lay the foundations for a solid revenue cycle and a positive patient experience.

Advances in medical treatments and technology are ushering in a new era of personalized healthcare. Each patient has their own distinct medical history, genetics, lifestyle and preferences, and it is increasingly clear that tailored care plans are essential to improve patient outcomes and elevate the overall experience. Personalized patient care has become more critical than ever, and is key to creating better patient experiences. Equally rapid transformations in data analytics, automations and machine learning have opened up new possibilities for non-clinical touchpoints in the patient journey. Providers can leverage digital tools to personalize everything from scheduling to payments, ensuring that patients get the right information at the right time. Targeted patient outreach and tailored payment plans are just two examples of how providers can use digital tools to foster better patient engagement without compromising efficiency – one patient at a time. Why does a personalized patient experience matter? Patient expectations have changed. Wearables, apps and a steady stream of health-related content on social media mean today's patients are better informed and increasingly engaged in their own health. They expect to be treated as equal partners, not as passive participants waiting to be told what to do by their doctor. Rather than one-size-fits-all communications, patients value proactive outreach and relevant reminders and prompts that help them move through their healthcare journey with as little friction as possible. They're also accustomed to “high-choice, high-convenience” digital experiences that tailor information to their specific needs and preferences. Digital consumer brands like Amazon and Google are moving into the healthcare space, leveraging their insights and technology to offer patients tailored medical solutions. To remain competitive in this changing landscape, providers must embrace a personalized approach to care. Aside from attracting higher patient satisfaction scores, a personalized patient experience also contributes to better health outcomes. For example, research shows that unclear post-discharge instructions result in preventable, unplanned, and high-cost follow-up care. Specific and relevant advice and reminders – communicated through the patient's preferred channels – can greatly reduce the risk of no-shows, delays and gaps in care. There are financial benefits too. As patients consistently report concerns about the cost of care, support to understand and manage bills can make a major difference in their propensity to pay. What does personalized patient care look like in practice? Clearly, there are practical limits to the level of personalization that can be offered. But with the right digital tools and data analytics, providers can segment groups of patients and deliver an experience that is sufficiently tailored so it feels like they have their own healthcare concierge. And rather than adding to the operational workload, the data analytics and automations that facilitate personalization can also streamline workflows and improve overall efficiency. In this way, tailoring the patient experience can contribute to a reduced manual workload, fewer errors and faster collections. Providers don't need to compromise efficiency for personalized patient experiences. Two specific areas that offer a high ROI are targeted patient outreach and tailored payment plans. Strategy 1: Targeted patient outreach Experian Health's State of Patient Access survey 2.0 showed that patients appreciate proactive outreach by providers, though many said this didn't always happen. With digital patient outreach solutions, communications can be tailored for different patient segments. Consumer data can allow patients to be grouped according to need, behavior and preferences, so they can be supported to move to the next step in their healthcare journey with ease. For example, patients with specific chronic diseases can be sent reminders for annual health checks. Those that may be due for regular cancer screening can be sent pre-appointment information. Providers can also engage patients with automated, timely messages through their preferred channels. At the individual level, self-service patient access tools and automations allow patients to book appointments when and where it suits them. Automated text message and interactive voice response campaigns can be used to issue links to patients so they can book right away. And automated appointment reminders are an easy way to ensure patients don't forget to attend, while minimizing the business impact. Strategy 2: Tailored payment plans and billing Patients worry about the growing burden of healthcare expenses. Generic payment plans that do not take account of individual patient circumstances can leave patients feeling unsupported and detached, so they're less likely to pay in full and on time. A more patient-centric approach can help patients manage bills and reduce the risk of bad debt. Digital technology can analyze patient financial information to anticipate the patient's propensity to pay and generate a customized payment plan. This should start with proactively issuing accurate estimates of the patient's financial responsibility. Patient Payment Estimates gives patients a simple breakdown of their costs, directly to their mobile. It draws on real-time price lists, payer contracts and relevant insurance details to maximize accuracy. Similarly, Patient Financial Advisor offers patients a text-to-mobile experience with a secure link to billing information, personalized payment plans and convenient payment methods. Those that can pay upfront in full can do so, while those that need a little more time or advice on financial assistance can be directed to the right pathway. Patient Financial Clearance helps determine the optimal payment plan by screening patients automatically before their appointment or at the time of service, to see if they qualify for charity support. Finally, offering a choice of payment methods rounds out a tailored financial offering. Personalized patient care: the key to greater patient satisfaction To sum up, integrating targeted outreach strategies and tailored financial support can help providers increase patient satisfaction, improve health outcomes and enhance financial performance. At the heart of a patient-centric approach should be a commitment to anticipating patient needs, by simplifying their healthcare journey and offering the flexibility and choice that have come to be expected. Explore Experian Health's suite of patient engagement solutions for more ideas on how to deliver a compassionate and personalized patient experience.

Compared to other industries, healthcare tends to be more resilient to economic turbulence. But the weight of the pandemic, labor shortages, rising costs and increasingly complex reimbursement structures are squeezing hospital margins. A Kaufman Hall National Hospital Flash Report in July 2023 found that many hospitals underperformed, and the gap between high-performing hospitals and those struggling continues to widen. Providers must find new and effective ways to improve revenue cycle management, should any new uncertainties emerge. With pressure mounting to increase efficiency and reduce expenses, more providers are turning to automation and artificial intelligence (AI) to eliminate unnecessary manual work and optimize revenue cycle management processes. For example, Stanford Health Care leveraged automation to reduce their cost to collect. Banner Health improved patient collections with transparent price estimates. Schneck Medical Center zeroed in on claims management and incorporated AI to reduce denials. In the face of a cashflow crunch, healthcare providers increasingly turn to data-driven revenue cycle management (RCM) strategies that span the entire patient journey. This article lists six of the most effective income-generating digital RCM strategies that providers are using to maximize profits. Building blocks of a healthy revenue cycle At its core, revenue cycle management is about ensuring providers are fully reimbursed for the care they provide. The true ROI is much broader – efficient financial and administrative processes for patient billing, claims management and collections contribute to better care, satisfied patients, high-performing staff and good financial health. Realizing these benefits calls for revenue cycle processes built on three principles: Efficiency – streamlining processes to reduce resource utilization across the entire billing cycle Accuracy – ensuring all patient and claims data is correct and complete to avoid denials and delays Transparency – giving patients, providers and payers relevant and timely information, so they can act with confidence in each financial transaction. To achieve this, providers are moving away from slow, costly manual systems. Digital RCM tools are becoming non-negotiable. 6 data-driven strategies for effective revenue cycle management 1. Increase efficiency in patient access Revenue cycle management starts when the patient books their appointment and ends when the final bills are settled. Claim denials and delayed payments often arise from data errors and miscommunications in the early stages of the patient journey, which means patient scheduling and registration processes are critical to streamline RCM. With automated, data-driven patient access tools, providers can simplify tasks across the patient journey, so patients can move from one stage to the next with as little friction as possible. Fewer errors mean delays and disappointment are more easily avoided. Automated registration and online self-scheduling can also lead to savings through more efficient use of staff time and reducing the number of appointment no-shows. Experian Health clients find that online tools allow them to make relatively minor adjustments to their workflows, with a major impact on productivity. 2. Deliver accurate and timely patient billing Patients want the payment process to be as painless as possible. In multiple surveys, Experian Health has found that patients are worried about the cost of care, while 63% of providers believe patients frequently postpone care because of cost concerns. Clear, comprehensive estimates, billing and collections practices can make it easier for patients to navigate their financial journey. And with the end of continuous Medicaid enrollment, it's likely that more patients will find themselves unsure of their coverage situation, and in need of greater support to manage the financial process. For Stanford Health, the key to improving revenue cycle management centered around patient billing and collections. To achieve the dual goals of improving the patient experience and increasing collections, they used data-driven insights and automation to remove uncollectible accounts, prioritize accounts with a high propensity to pay, find missing coverage and reduce the manual workload. Collections Optimization Manager helped Stanford Health identify the best possible collections strategy, by scoring and segmenting patient accounts with the highest propensity to pay. Coverage Discovery® supplemented this strategy by checking for any unidentified primary, secondary or tertiary coverages that can potentially reduce self-pay amounts and avoidable charity designations. As a result, Stanford Health achieved a $4.1m increase in average monthly payments and efficiency gains of $109k per month. 3. Provide transparent price estimates Experian Health's State of Patient Access 2023 report suggests that fewer than three in ten patients know how much their care will cost in advance, while nine in ten consider it important. Delivering accurate pre-care estimates to help patients plan for bills could therefore be an easy win to improve the patient experience and recoup more revenue. Banner Health used Patient Estimates as part of a wider strategy to improve patient collections. This solution generates detailed estimates of the patient's financial responsibility along with recommendations for payment plans and financial assistance, if appropriate. Listen in as Becky Peters, Executive Director of Patient Access at Banner Health, talks about streamlining the patient registration process and improving patient access with pre-care estimates. 4. Effective claims management Perhaps the biggest opportunity to improve revenue cycle performance lies in claims and denial management, which accounts for a major proportion of wasted healthcare dollars. Summit Medical Group Oregon–BMC paired Enhanced Claim Status with Claim Scrubber to submit cleaner claims the first time and avoid lost revenue. These tools help providers submit accurate claims and monitor claim status to prevent denials and resolve issues quickly. For Summit Medical Group, this led to a 92% primary clean claims rate, and a reduction in accounts receivable days and volume by 15%. Experian Health also offers a new solution that leverages machine learning and artificial intelligence for predictive reimbursement. AI Advantage™ uses AI to predict and prevent claim denials based on historical claims data. In the first six months, this solution helped Schneck achieve a 4.6% average monthly decrease in denials and decreased time spent on denials by 4x. 5. Easy ways to pay (plus clear pricing and payment policies) How easy is it for patients to pay? This simple but important question points to another vital element of effective revenue cycle management. A compassionate and convenient patient payment experience that matches consumer experience in other industries can encourage earlier payments. Easy digital options are especially important for millennial and younger patients: research by Experian Health and PYMNTS found that 60% of younger patients are looking for digital services. Experian Health's patient-friendly payment tools are designed to help patients navigate their financial responsibilities with confidence and ease. For example, PaymentSafe® allows providers to securely collect payments anytime, anywhere, including mobile payments and patient portals. 6. Operational efficiency with automation, data and analytics RCM processes generate vast amounts of data, providing valuable insights into the organization's operational performance, revenue trends and areas for improvement. Being able to parse and translate this data into actionable insights is essential to determine the right strategies to pursue to optimize financial performance. But this in itself can be a major lift. Revenue Cycle Analytics is a web-based tool that breaks down data into actionable insights across billing, reimbursement and payer performance, presenting KPI data via comprehensive dashboards. Effective revenue cycle management strategies from start to end From labor shortages to rising costs, healthcare providers are finding creative ways to manage cash flow. While each healthcare organization’s needs and goals are different, understanding these six key strategies of successful revenue cycle management can help hospitals manage their revenue cycles more effectively and efficiently, while responding to new uncertainties. Find out more about how Experian Health helps healthcare organizations leverage automation and AI to streamline processes and boost revenue cycle performance.

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.