All posts by kelly.nguyen

In a strategic move that will take claims management to the next level, Experian Health recently acquired Wave HDC, a healthcare technology company specializing in AI-guided data capture and curation. The acquisition brings together the two companies' capabilities to offer healthcare organizations faster and more accurate healthcare coverage identification. With this acquisition comes Patient Access Curator, a new solution that uses artificial intelligence (AI) to revolutionize the claims management process. Tom Cox, President at Experian Health, says, “With our vast clearinghouse data resources and Wave HDC's technology and expertise in insurance data capture processes, Experian Health now offers the best eligibility and insurance identification products in the market.” This article gives a run-down of Patient Access Curator and how it helps providers prevent claim denials in seconds. Hear our pre-recorded session from our annual Experian Health High-Performance Summit 2024 (HPS), featuring Exact Sciences and Trinity Health, as they reveal how Patient Access Curator helped their organizations automate eligibility, reduce denials, and more, all with a single click. This session offers live Q&A with Experian Health Product Leadership. Register now Prevent denials on the front end Managing claims effectively – or more specifically, preventing denials – is one of the biggest challenges for providers. In a 2022 survey by Experian Health, 72% of respondents said reducing denials was their top priority, citing reasons including payer policy changes, reimbursement delays, and a rise in the number of errors and denials. Most issues that lead to denials crop up early in the revenue cycle, when information is missed or captured incorrectly during patient registration. For this reason, it makes sense to focus denial prevention strategies on the front end. With so much data to capture, manual strategies are bound to stumble. Unfortunately, many digital tools still require staff to check multiple payer websites and data repositories to verify insurance eligibility and check for any billable coverage that might have been missed. Experian Health's industry-leading claims management products are designed to simplify these processes. The integration of Wave HDC's AI-powered data capture technology strengthens that offer with capabilities previously not available. As Cox says: “Our mission is to simplify healthcare, and this move allows us to quickly scale our portfolio with advanced logic and AI-powered technology to help solve one of the biggest administrative problems providers face today, which is claim denials.” For Jordan Levitt, co-founder of Wave HDC, the merger is a chance to bring their unique technology to more healthcare organizations. “We believe this integration will have a powerful impact for the healthcare industry, improving financial solvency and efficiencies for providers through more accurate medical billing, resulting in potentially more reimbursement, faster.” Introducing Patient Access Curator: Claims management in a single click Wave HDC's technology captures and processes patient insurance data at registration using an “if-then” logic that returns multiple data points from a single inquiry, in 30 seconds. Through Patient Access Curator, registration staff can leverage this technology to collect and verify much of the information they need to compile an accurate claim, with just a single click. In a matter of seconds, they'll have a comprehensive readout of the following: Eligibility verification: PAC automatically interrogates 271 responses, flagging up active secondary and tertiary coverage information to eliminate coverage gaps; Coordination of Benefits (COB): Integrating with eligibility verification workflow, PAC automatically analyzes payer responses to find hidden signs of additional insurances that may be missed by a human eye, and triggers additional inquiries to those third parties to determine primacy, for faster COB processing; Medicare Beneficiary Identifiers (MBI): PAC uses AI and robotic process automation to find and fix patient identifiers so no one misses out on essential support; Coverage discovery and financial status: For patient accounts marked as self-pay or unbillable, PAC automates additional coverage searches, and provides insights into the patient's propensity to pay; Demographics: Lastly, but by no means least, the platform can quickly check and correct patient contact information. Providers can hear more about shifting denials management to the front end of the revenue cycle with Patient Access Curator on a recent on-demand webinar hosted by Jordan Levitt and Jason Considine, Chief Commercial Officer at Experian Health. On the webinar, Levitt explains that Patient Access Curator achieves such speedy results “because the underlying code acts like a Rosetta Stone, automatically translating the language of the user and the health system into the terms required by the payer.” This means data can be transferred easily between interfaces. “The answer isn't multiple clicks, running one transaction at a time. With Patient Access Curator, you can know everything about the patient to run a clean revenue cycle process and propagate only clean data downstream, all within thirty seconds.” Maximize dollars, minimize workload Patient Access Curator moves away from manual methods and verifies eligibility and coverage automatically, quickly and accurately. But the platform promises more than efficiency; with this technology, Wave HDC has prevented denials of over $1 billion since 2020. At a time when revenue cycles are under increasing pressure from changing payer rules, labor dynamics and operational constraints, the new integration offers a long-awaited boost to both reimbursement rates and productivity. Patient Access Curator is available now - learn how your healthcare organization can get started and prevent claim denials in seconds. Learn more Contact us

As the saying goes, “what gets measured gets managed.” For healthcare providers, this is a reminder that optimizing the revenue cycle relies on monitoring and reporting on the right metrics. Claims, billing and collections teams will struggle to know which of their activities lead to improvements if they don't track key performance indicators (KPIs). The question, then, is how to choose the right KPIs. How can providers gain more visibility into their financial performance? Where are the pitfalls that limit the usefulness of the data? This article looks at how revenue cycle managers may find more opportunities to prevent revenue leakage by building a healthcare revenue cycle KPI dashboard populated with the right medical billing metrics. What is a revenue cycle KPI dashboard? A revenue cycle or medical billing KPI dashboard is part of a revenue cycle management (RCM) platform. It enables real-time visibility into metrics regarding billing and revenue and is customizable based on the KPIs that matter to each healthcare organization. It centralizes critical information related to patient access, healthcare collections, claims management and payer contract management. Challenges and pain points in revenue cycle management The first step in selecting the most relevant KPIs for a revenue cycle dashboard is to identify and understand the thorniest RCM challenges that could be causing dollars to slip through the net. Here is a run-down of some of the biggest obstacles to effective RCM and possible performance measures that may help track improvements: 1. Inefficient patient access for scheduling and registration Revenue cycle management begins in patient access. Unfortunately, so do many of the errors and inefficiencies that lead to claim denials and missed payment opportunities. Confusing and disjointed scheduling systems can lead to underutilization of services and no-shows, as well as falling short of consumer expectations for online booking methods.Online self-scheduling tools make it easier for patients to book appointments so they can start their healthcare journey quickly and conveniently. Cancelled appointment slots can be offered to other patients, to maximize clinician time. Here, it would be useful to track the percentage of unfilled appointments: an increase over time would suggest that patients are finding it easier to book appointments, and confirm better use of doctors' hours.Similarly, digital registration options can quell the frustrations that many patients feel when trying to fill out forms ahead of treatment. No-show rates, percentage of patients using online tools, registration error rates and patient satisfaction scores would all be relevant KPIs. 2. Claims and denial management processes that rely too heavily on manual work From checking payer updates to poring over billing codes, claims management workflows often involve manual tasks that put unwelcome pressure on already-overwhelmed staff. There are many opportunities for errors, which drive up denials and put the brakes on the organization's cash flow. An increase in clean claim rate and a reduction in the rate of denials would be KPIs to look for on the revenue cycle dashboard. An end-to-end claims management solution that uses automation and artificial intelligence (AI) to improve accuracy and lift the load on staff can alleviate these challenges. For example, AI Advantage™, leverages AI to predict and prevent denials using the organization's own historical claims data. 3. Patient collections practices are often inconsistent Patient responsibility for healthcare costs is higher than ever, so the consequences of poor billing practices are severe. Experian Health's State of Patient Access 2023 report found that 63% of providers believe patients frequently postpone care because they're worried about costs. If patients are unsure about what they owe, unable to find financial assistance, or unclear about how and when to pay, the provider is likely to see their accounts receivable metrics and collection rates heading in the wrong direction. Clear bills and convenient ways to pay are key to optimizing patient collections. Collections Optimization Manager supports better financial decision-making for both patients and providers by screening, segmenting and routing accounts based on payment probability. Users get tailored support from an experienced optimization consultant to select the right KPIs and turn insights into effective action. 4. Actionable insights are often out of reach RCM analysts may have a wealth of information to interrogate, but they are often tripped up by disparate systems and legacy processes. Critical information in patient access, collections, claims management and payer contract management may be held in different systems and formats, which makes it much harder to see connections. With revenue cycle analytics tools, providers can make sense of the information they hold, rather than drowning in data. A revenue cycle or medical billing dashboard can enable real-time visibility into the KPIs that matter most while tracking changes over time. What are KPIs for RCM?  Revenue cycle KPIs are quantifiable measures that illustrate the financial viability of an organization's revenue cycle. These metrics indicate if healthcare organizations are achieving their financial goals and are effectively managing revenue inflows and outflows. Specific KPIs will be tailored to the organization's particular goals, challenges and processes. The quality and availability of relevant data will also play into the selection process, to maximize visibility and insights into the revenue cycle. In addition to the suggested metrics discussed above, other common KPIs to feature in a revenue cycle dashboard include: Days in account receivable Aged accounts receivable rate Adjusted collection rate Clean claim rate Claim denial rate Claim appeal rate Bad debt rate Gross collection rate Net collection rate Importance of healthcare revenue cycle KPI dashboards A  revenue cycle KPI dashboard is more than just a handy way to present data. Monitoring an organization's financial health is critical to its ability to serve patients and attract and retain high-performing employees. A healthcare revenue cycle dashboard can enable providers to: Identify if revenue levels are sufficient to keep the organization afloat and know in advance if new strategies are needed to maintain cash flow Locate glaring operational efficiencies in RCM that are costing the organization time and money Forecast future revenue projections to determine the organization's ability to expand and invest Improve all financial decision-making through better use of data that is already being collected Boost patient satisfaction by highlighting opportunities to create a more convenient and transparent financial experience. Driving efficiency and success through RCM solutions Once the revenue cycle KPI dashboard is built, RCM teams can get to work on implementing the specific actions needed to tackle those thorny issues discussed above. With Experian Health's integrated RCM solutions, providers can bring together metrics such as financial performance, billing efficiency and collections rates into one place, to allocate resources more strategically, drive targeted improvements, and accelerate reimbursement. And with these insights, providers are not just managing revenue – they are optimizing for future financial stability. See how Experian Health's revenue cycle management solutions, dashboards and drill-down reports can uncover opportunities to prevent revenue loss and boost profitability.

The relationship between hospitals and payers has often carried an undercurrent of tension. Stacks of paperwork, complex claims rules and manual adjustments are a recipe for disrupted cash flow and time-consuming rework. With profit margins hanging in the balance, providers need the reimbursement process to move forward without a hitch. To the relief of revenue cycle managers, recent developments in digital technology are paving the way for more effective claims management. Case in point: Experian Health's recent acquisition of Wave HDC, which brings together a suite of advanced patient registration solutions for faster and more accurate claims management at the front end of the process. Shifting sands in the hospital-payer relationship could increase denials For healthcare organizations, getting paid in full- and on-time hinges on seamless communications with payers. Any missteps can lead to revenue losses, with denied claims and delayed payments being the outcomes providers most want to avoid. Payers will automatically deny claims that have errors or missing information, while disputes and slow processing times can seriously hamper a hospital's cash flow. The sources of potential conflict have been pretty steady over time, stemming from complex billing processes, frequent changes to payers' requirements, and a lack of standardization between payers.  Tension created by the cost of services and the need to control healthcare costs is a constant in the revenue cycle. Recently, a major shift in dynamics has occurred with the widespread adoption of artificial intelligence by payers. This enables them to process – and deny – claims with unprecedented speed and scale, leaving providers struggling to catch up. On a recent webinar, Makenzie Smith, Experian Health Product Manager for AI AdvantageTM, explained how this change was reshaping the relationship between payers and providers: “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… Many revenue cycle managers will stick in their comfort zone because operating margins are tight and changing course seems risky. But given this change in payer behavior, the cost of staying the course could put organizations at risk.” How AI-powered revenue cycle management solutions help close the gap between payers and providers Providers are increasingly leveraging digital technology to level the playing field with payers. Integrated software and automation give revenue cycle management teams the right data in the right format and at the right time to respond to queries promptly and accurately. These solutions enable teams to work more efficiently, so they can process more claims in less time. Experian Health's flagship AI-based claims management solution, AI AdvantageTM, is a prime example. This tool predicts and prevents denials by identifying patterns in payer behavior and flagging claims with a high probability of denial so specialists can intervene before the claim is sent to the payer. This works alongside ClaimSource®, which automates clean claim submissions at scale. Using a single application, all claims are prepared and submitted with all necessary documentation, reducing the risk of denial due to missing or inaccurate information. Integrating Wave HDC's data capture technology for comprehensive claims management In November 2023, Experian Health acquired Wave HDC, which specializes in using AI-guided solutions to capture and process patient insurance data at registration with unrivalled speed and accuracy. This gives Experian Health clients access to a single denial management solution, known as Patient Access Curator. This new technology is a single click solution that spans eligibility verification, coordination of benefits, coverage and financial status checks with near-100% accuracy in less than 30 seconds. Crucial registration data can be captured in real time as soon as the patient checks in for an appointment, with no need to chase and update data post-registration. A single inquiry can search for all the essential insurance and patient demographics instantly, enabling better use of staff resources and smoother communications with payers. Tom Cox, President of Experian Health, says the move “allows us to quickly scale our portfolio with advanced logic and AI-powered technology to help solve one of the biggest administrative problems providers face today, which is claim denials.” Accurate patient data from the outset is key to preventing downstream denials, many of which originate in patient access. By reducing errors and enabling faster processing times, this comprehensive approach to denial management will help strengthen the relationship between providers and payers, ensuring timely payments and clean claims. Contact Experian Health today to find out how AI and automation can help build a successful relationship between providers and payers – and drive down denials.

Contracts govern the revenue cycle, but negotiating contracts and ensuring compliance can feel increasingly unmanageable as mergers and acquisitions, ongoing staffing challenges, and the sheer volume of contracts, plans, and provisions make contract management a massive project for healthcare providers. Tricia Ibrahim, Director of Product Management at Experian Health, shares her insights on a challenging environment heading into 2024. Providers are grappling with mounting complexity, an explosion of data, and continuing pressure to maximize efficiency and revenue. But, according to Ibrahim, healthcare contract management software is evolving to meet these challenges—and helping providers find clarity amid the complication. Q1: What are the major challenges with healthcare contract management as we move into 2024? “I think what clients are most concerned with, especially leading into 2024, is the complexity of payer contracts,” says Ibrahim. A typical provider may manage hundreds or thousands of contracts, each one with a range of plans and provisions that affect the bottom line. “Being able to negotiate better contracts is a key concern,” says Ibrahim, “but clients increasingly feel outgunned and overwhelmed by the amount of information involved.” Accessing and analyzing data effectively is more critical than ever. “When providers come together with payers to negotiate contracts, it can be difficult for them to evaluate the contract that the payer is putting in front of them,” in part because it's hard to know how their current contract is performing or how contract provisions will play out in dollars and cents, Ibrahim explains. “Underpayments and denials are a constant struggle. Also, providers need to understand how volume and patient mix will factor in.” Contract management has a direct effect on revenue and the bottom line. Negotiated terms may or may not cover actual costs. A small change in terms might have an outsized effect due to high volume. Denied claims, underpayments, downcoding and late payments can slow the revenue cycle and reduce the amount of revenue providers receive. “At the same time, we're also starting to see a greater interest in collaboration between providers and payers,” says Ibrahim. “Having additional visibility allows both parties to have more meaningful discussions and move toward solutions that work for everyone.” Q2: What are providers doing to take on these challenges? “Many providers are investing in technology,” says Ibrahim. “A 2023 analysis by Bain & Company found that 80% of healthcare executives had accelerated software and IT investment over the past year in response to mergers and acquisitions, staffing shortfalls, and an increasing need for efficiency.” As contract management becomes more complex, providers are also reaching for more powerful healthcare contract management software tools to manage data—and leverage it to negotiate contracts effectively and monitor contract compliance over time. Q3: How can healthcare contract management software like Experian Health's Contract Manager and Contract Analysis help providers negotiate better contracts? “Having meaningful information backed by data changes the dynamic,” Ibrahim says. “It allows you to have a more strategic conversation. You can say, 'You're supposed to pay us 45 days from the receipt of the claim, but it's been taking 140 days.'” Data provides objective information and can point the way toward measurable improvements going forward. “Our Contract Analysis module allows for the provider to audit payer contract performance,” says Ibrahim. That's not only helpful for tracking what's happened to date; it's also useful for projecting how a new contract might work going forward. “We're able to use historical claims to create scenarios that show how a new contract would affect payment. Sometimes, payers will keep reimbursement rates the same where you have a lot of volume and give you an increase where you don't. When you use our solution to run these types of analyses, you get a more effective understanding of proposed terms.” Q4: Once contracts are in place, how can healthcare contract management software help providers improve compliance? “Detailed analysis is key, and small discrepancies can have a significant impact,” says Ibrahim. “One of our clients, a large academic provider on the medical group side, spotted a trend where they were being underpaid by 10 cents to 50 cents on their EKGs. These kinds of variances typically go unnoticed, but they found 20 or 30 claims to submit.” The payer acknowledged the underpayment and issued the few dollars' difference. “Then the provider decided to look at their contract to see how far back they could appeal. It turned out they were able to go back a significant amount of time. When they added up the underpayments, it equated to $850,000. They ended up settling for $750,000,” Ibrahim says. OrthoTennessee, a Knoxville-based orthopedic practice with multiple locations and more than 50 physicians, uses Experian Health's Contract Management software for healthcare to find inaccuracies, make appeals, and audit contracts at scale. Using Experian Health's Contract Management platform, OrthoTennessee had an 86% success rate for appeals in 2022. “That's the power of the solution: You can really identify trends,” says Ibrahim. Monitoring compliance is a continuous effort: “We’ve done a lot of work with our clients to understand what their evolving needs are. We’ve been named Best in KLAS [by healthcare IT research firm KLAS] multiple years in a row. That recognition has centered around engagement—being engaged with our clients, so we understand what the trends are, what challenges they’re facing, and how we can help solve problems in the most efficient manner.” Q5: What role do regulations play in shaping contract management solutions? “Regulation drives different reimbursement methodologies, [such as] bundled payments or value-based care,” says Ibrahim. “Part of our challenge is making sure we are always evaluating new regulations and ensuring that our system is agile enough to support these new methodologies. “Because regulation never stops, it actually drives a lot of the innovation we do. The No Surprises Act, which came into effect in 2021, requires providers to provide patients with a good faith estimate of costs. We've been able to help clients establish an estimated median rate, which can be useful for estimates that involve non-contracted payers.” As an additional benefit, healthcare contract management software also helps providers spot opportunities. “One of our clients identified 26 plans with enough volume to support additional contracts,” says Ibrahim.  “Providers can even use these solutions to evaluate whether a market exists for a new piece of technology to deliver state-of-the-art care. Understanding performance is a powerful tool.” Q6: Early in our conversation, you said there was a growing interest in collaboration among providers and payers. What does it mean to take a collaborative approach in this context? “I think it's really important for providers and payers to have collaborative communication, to engage in productive conversations where they can work together instead of against each other,” says Ibrahim. “That's how we're going to deliver more integrative care and reduce costs. It’s how we’re going to arrive at coverage options that work for all parties, by developing good relationships between providers and payers. “For our part, Experian Health is continuing to expand Contract Manager to provide data analytics that clearly show the cost of care and the expected reimbursement for various types of services, so providers can evaluate contract performance, identify potential areas of improvement, and have meaningful conversations with payers. “At the end of the day, we all have a common goal: delivering appropriate care at the right time for patients,” Ibrahim concludes. “To progress toward that goal, payers, providers and partners like Experian Health are going need to work together.” These conversations start with a common set of data, so that everyone at the table understands where the opportunities to collaborate and improve may lie—and where the path forward may begin. Learn more about Experian Health's Healthcare Contract Management software and how it can help your organization negotiate and manage contracts effectively and efficiently, even in an increasingly complex environment.

Experian Health ranked #1 in Best In KLAS for our ClaimSource® claims management system and Contract Manager and Analysis product – for the second consecutive year. The rankings were revealed in the annual 2024 Best in KLAS Awards – Software and Services, published on February 7, 2024. The Awards recognize the top software and services vendors that are helping American healthcare professionals deliver the best possible patient care, based on feedback from thousands of providers. Experian Health topped the list in two categories: ClaimSource ranked #1 in Claims Management and Clearinghouse. This automated and scalable solution reduces denials and increases revenue through a single application. The addition of an artificial intelligence component this year (AI AdvantageTM) is helping providers cut denial rates to just 4%, compared to an industry average of more than 10%. Contract Manager and Analysis ranked #1 in Revenue Cycle: Contract Management. This product levels the playing field with payers by monitoring compliance with contract terms and recovering underpayments. It also arms providers with financial models of proposed contracts, so they can negotiate more favorable terms. Case study: See how Hattiesburg Clinic in Mississippi uses ClaimSource to automate claims management and reduce denials. The awards come as the industry grapples with ongoing staffing challenges and rising claim denials. In Experian Health's 2023 report on the healthcare staffing crisis, 100% of respondents saw staffing shortages affect revenue cycle management and patient engagement. As the pressure continues, revenue cycle technology offers a way to increase efficiency and improve financial performance.  “Healthcare professionals face immense pressures, ranging from financial strains to staffing shortages and the very real issue of clinician burnout,” says Adam Gale, CEO and Founder of KLAS Research. “We want to provide actionable insights that will ultimately alleviate burdens and enhance clinician success.” For Tom Cox, President of Experian Health, the awards reflect a continuing commitment to help providers optimize operations and patient engagement using data-driven insights and technology. “This recognition from KLAS recognizes our dedication to deliver innovative solutions that not only improve the financial health of providers but also the patient experience. Receiving this award two years in a row is an honor as we remain steadfast in our commitment to simplifying healthcare through technology.” Find out more about how ClaimSource and Contract Manager and Contract Analysis helps healthcare organizations increase efficiency and boost financial performance.

By all forecasts, the healthcare worker shortage isn't going away. More than 80% of healthcare executives admit talent acquisition is so challenging it puts their organizations at risk. The latest survey from Experian Health shows complete agreement across the industry—the inability to recruit and retain staff hampers timely reimbursements. The side effects of the healthcare worker shortage are increased errors, staff turnover, and lower patient satisfaction. With the healthcare worker shortage becoming a chronic red flag on the list of industry challenges, is throwing more revenue at hiring the best answer? Experian Health's new report, Short-staffed for the long term, polled 200 healthcare revenue cycle executives to find out the effects of the continuing healthcare worker shortage on the bottom line. Respondents unanimous agreed that healthcare's recruitment problem is limiting their ability to get paid. Could investing in better revenue cycle technology to automate manual human functions be the answer to the healthcare recruiting dilemma? Effect of the healthcare worker shortage on healthcare revenue cycle Result 1: Providers losing money and patient engagement simultaneously. 96% of respondents said the healthcare worker shortage negatively impacts revenue. 82% of survey participants said patient engagement suffers when providers are short-staffed. Experian Health's latest survey showed almost unanimous agreement that the revenue cycle suffers significantly when providers are short-staffed. The only area of disagreement among revenue cycle leaders is whether patient collections or payer reimbursements are affected the most by the industry's lack of human talent. As revenue cycle teams struggle to cover their workload, the need for speed increases manual error rates. The Experian Health survey showed that 70% of revenue cycle teams say healthcare worker shortages increase denial rates. This finding reinforces an earlier survey showing nearly three of four healthcare executives place reducing claims denials as their top priority. As errors snowball, patient engagement and satisfaction begin to decline. Data entry errors impact claims submissions, resulting in billing mistakes that confuse and frustrate patients. Data errors often start at patient registration and persist through claims submission, creating denial reimbursement snarls and tying up cash flow. With the average denial rate above 11%, that's one in every 10 patients facing uncertainty around whether their bill will be paid. What's worse is that Experian Health's State of Claims Report shows denial rates increasing. While providers are leaning into increasing recruiting efforts to find the employees they need, is staffing up even possible in an era of chronic labor shortages? Technology offers healthcare providers new ways to handle revenue cycles without hiring more staff. For example, patient access software reduces registration friction, where up to 60% of denied claims start. Patient scheduling software automates access to care and gives customers greater control over their healthcare journey. It's a digital front door that engages patients with online options for managing care. On the backend of the revenue cycle, automation also offers a way to decrease reliance on manual labor to handle claims submissions. Automating clean claims submissions alleviates the denials burden, freeing up staff time and provider revenue streams.  Result 2: Staffing shortages heavily impact payer reimbursement and patient collections. 70% of those saying payer reimbursement has been affected the most by staff shortages also agree that escalating denial rates are a result. 83% of those saying patient collections have been affected most by staff shortages also agree that it’s now harder to follow up on late payments or help patients struggling to pay. Addressing healthcare staffing shortages is crucial for providing quality patient care, maintaining financial stability, and maximizing reimbursement in the complex healthcare reimbursement landscape. Staff shortages lead to reduced productivity within healthcare facilities, and existing teams may need to take on extra work to fill the gap. Overworked staff may be more prone to errors, leading to claims denials. Medical Economics says manual collections processes suffer due to the healthcare worker shortage. They state, “Mailed paper statements and staff-dependent processes are significantly more costly than electronic and paperless options, yet the majority of physicians still primarily collect from patients with paper and manual processes.” Technology exists for self-pay receivables that allow patients easy online payment options. Experian Health's Collections Optimization Manager offers powerful analytics to segment and prioritize accounts by their propensity to pay and create the best engagementstrategy for each patient segment. Advocate Aurora Healthcare took control of collections by using this tool and automated their collections processes, so that existing staff could focus on working with the patients who had the resources to handle their self-pay commitments. The software's automation and analytics features allowed the provider to experience a double-digit increase in collected revenues annually. Patients also benefit from collections optimization software. For example, Kootenai Health qualifies more patients for charity or other financial assistance with Experian Health's Patient Financial Clearance solution. In addition to automating up to 80% of pre-registration workflows, the software uses data-driven insights to carve out the best financial pathway for each patient. It's a valuable tool for overburdened revenue cycle teams that struggle to collect from patients. Kootenai Health saved 60 hours of staff time by automating these manual payment verification processes. Result 3: Recruiting alone isn't solving the healthcare worker shortage. Healthcare hiring is a revolving door, with 80% reporting turnover as high as 40%. 73% said finding qualified staff is a significant issue. A significant contributor to the healthcare worker shortage is the grim reality that these organizations are losing human resources to burnout and stress. Being short-staffed drags down the entire organization, from the employed teams to the patients they serve. But it's impossible for recruiting alone to fix the problem when more than 200,000 providers and staff leave healthcare each year. A recent study suggests that if experienced workers continue to leave the industry, by 2026, more than 6.5 million healthcare professionals will exit their positions. Only 1.9 million new employees will step in to replace them. The news worsens with the realization that nearly 45% of doctors are older than 55 and nearing retirement age. Artificial intelligence (AI) and automation technology in healthcare can cut costs and alleviate some of the severe staff burnout leading to all this turnover. However, one-third of healthcare providers have never used automation in the revenue cycle. A recent report states that providers could save one-half of what they spend on administrative tasks—or close to $25 billion annually—if they leveraged these tools. For example, Experian Health's Patient Access solutions can automate registration, scheduling and other front-end processes. AI can also help increase staff capacity and output without adding work volume. Experian Health's AI Advantage™ solution works in two critical ways to help stretch staff and improve their efficiency: The Predictive Denials module reviews the provider's historical rejection data to pinpoint the claims most likely to bounce back before they are submitted. The tool allows the organization to fix costly mistakes before submission, eliminating the time spent fighting the payer over a denial. The claims go in clean, so the denial never happens. The revenue cycle improves, saving staff time and stress. Denial Triage focuses on sorting denied claims by their likelihood to pay out. The software segments denied claims by their value so internal teams focus on remits with the most positive impact on the bottom line. Instead of chasing denials needlessly, this AI software allows revenue cycle teams to do more by working smarter. Revenue cycle technology to fill healthcare worker shortage gaps There is no question that the healthcare worker shortage is causing a significant burden on patients and providers. Experian Health's Short-staffed for the Long Term report illustrated the effect of this crisis on the healthcare revenue cycle, patient engagement, and worker satisfaction. Technology can solve staffing challenges by allowing the healthcare workers we do have to spread further and work more efficiently. AI and automation technology in healthcare can cut costs, alleviate staff burnout and can even help healthcare providers retain their existing workforce. By implementing these new solutions, healthcare providers can help stop the bleeding of existing staff that contributes to the healthcare worker shortage, while improving the efficiency of the revenue cycle. These tools save time and money and improve the lives of everyone touched by the healthcare industry. Contact Experian Health to see how your healthcare organization can use technology to help eliminate the pressures of the healthcare worker shortage.

For Michael Smith, it all began with seemingly innocuous text messages from a PA University Hospital, indicating a wait time for an emergency room visit. A peculiar situation for someone who no longer resided in Philadelphia and hadn't used the hospital system for years. Initially dismissing it as spam, Mike's skepticism deepened when a hospital staffer named Ellen reached out to discuss diagnostic results from an ER visit, he never made.  The revelation was unsettling - someone had registered with Smith's name, and the lack of ID verification raised eyebrows. While the recorded name and date of birth were accurate, the address associated with the account was outdated. A discrepancy that hinted at a more insidious problem.  Undeterred, Smith took matters into his own hands. Following an unsatisfactory conversation with the hospital's billing department, he penned a letter to the privacy officer, expressing his concerns about potential fraud. In his words: "I think there's something going on, that someone is using my information, and the visit and the charges appear to be fraudulent."  Smith's proactive approach sheds light on a crucial aspect of dealing with medical identity theft - swift and assertive action. As cyberattacks on healthcare institutions escalate, individuals must be vigilant in protecting their personal data.   Everyone shares the burden  Whether enrolled in employer-sponsored health insurance or securing coverage through HealthCare.gov, or the individual market, instances of healthcare fraud invariably translate into heightened financial burdens for consumers. Such malfeasance results in elevated premiums and increased out-of-pocket expenses, often accompanied by diminished benefits or coverage. In the realm of employers, both private and governmental entities, healthcare fraud escalates the costs associated with providing insurance benefits to employees, consequently raising the overall operational expenses. For a significant portion of the American population, the augmented financial strain stemming from fraudulent activities could be the decisive factor in realizing or forgoing health insurance.  Yet, the financial ramifications are merely one facet of the impact wrought by healthcare fraud. Beyond monetary losses, this malpractice carries a distinctly human toll. Individual victims of healthcare fraud are distressingly prevalent, individuals who fall prey to exploitation and unnecessary or unsafe medical procedures. Their medical records may be compromised, and legitimate insurance information can be illicitly utilized to submit falsified claims.  It is crucial not to be deceived into perceiving healthcare fraud as a victimless transgression, as its repercussions extend far beyond financial considerations, undeniably inflicting devastating effects.  Healthcare fraud, like any fraud, demands that false information be represented as truth. An all-too-common healthcare fraud scheme involves perpetrators who exploit patients by entering into their medical records' false diagnoses of medical conditions they do not have, or of more severe conditions than they actually do have. This is done so that bogus insurance claims can be submitted for payment. Unless and until this discovery is made (and inevitably this occurs when circumstances are particularly challenging for a patient) these phony or inflated diagnoses become part of the patient's documented medical history, at least in the health insurer's records.  How does medical identity theft happen?  Medical identity theft involves someone using another patient's name name or insurance information to receive healthcare or filing fraudulent claims, posing significant financial and health risks. It can result in bills for procedures the patient has never had, inaccurate medical records, and potentially life-threatening care. Common ways it occurs include database breaches, improper disposal of records, phishing scams, insider theft by healthcare professionals, and theft by family members.  Data breaches in healthcare have reached alarming levels, with the Office of Civil Rights reporting 725 notifications of breaches in 2023, where more than 133 million records were exposed or impermissibly disclosed. Social engineering poses a threat to individual Medicare beneficiaries, but healthcare providers also face risks from ransomware attacks, hacking, and employee errors. Hacking constitutes the dominant threat, accounting for 75% of reportable breaches.  Regardless of how health data is exposed, be it through individual identity theft, hacking attacks, or unintended sharing, any disclosure of payment information increases the risk of healthcare fraud.  Protecting patients and improving their experience  To prevent medical fraud and ensure eligibility integrity, here are some steps healthcare organizations can take:   Implement robust verification processes: Develop and enforce strict protocols to verify patient eligibility and review supporting documents. This includes verifying insurance coverage, confirming the patient's identity, and validating their relationship to the covered individual (e.g., spouse, dependent). Stay updated with legal and regulatory requirements: Stay informed about the latest laws, regulations, and industry guidelines related to medical eligibility and fraud prevention. This could include understanding requirements for reporting changes in eligibility status and keeping up with best practices recommended by regulatory authorities. Train staff on fraud prevention: Provide comprehensive training to all staff members regarding medical fraud prevention, eligibility verification procedures, and red flags to look out for. Staff should be educated on relevant laws and regulations, as well as proper documentation practices. Conduct regular internal audits: Regularly review patient records, claims, and billing processes to identify any inconsistencies or irregularities. Internal audits can help detect potential fraud and ensure compliance with eligibility requirements. Utilize technology and automation: Implement healthcare management systems or software that incorporate automated eligibility verification processes. This can help streamline and improve accuracy in eligibility determinations, reducing the risk of fraudulent benefits being provided. Encourage patient engagement: Educate patients about their responsibilities in maintaining accurate eligibility information. Promptly notify patients about the importance of reporting changes in their circumstances (e.g., marital status, employment status) that may affect their eligibility for medical benefits. Report suspicious activity: Train staff to recognize and report any suspicious activity or potential fraud. Establish clear reporting channels within your practice and encourage a culture of transparency and accountability. Stay vigilant: Stay alert for emerging trends, schemes, and new types of medical fraud. Regularly review industry updates, attend relevant workshops or seminars, and participate in fraud prevention initiatives to stay informed about evolving threats and prevention strategies. By implementing these measures, healthcare organizations can help safeguard their medical practices against medical fraud and preserve the integrity of eligibility determinations.   Finding the right partner  Healthcare fraud is a serious crime that affects everyone and should concern everyone—government officials and taxpayers, insurers and premium-payers, healthcare providers and patients—and it is a costly reality that can't be overlooked. By taking steps to find the right partner along the way, providers are helping to protect the integrity of the nation's healthcare system. Experian Health works across the healthcare journey to improve the patient experience, make providers more effective and efficient, and enhance and simplify the overall healthcare ecosystem.   Learn more or contact us to see how Experian Health's patient identity solutions can help healthcare organizations prevent medical ID theft. 

Prospects for US hospitals that closed out 2022 at a financial loss looked brighter by the end of 2023, prompting cautious optimism heading into 2024. An industry analysis published in October 2023 found that most hospitals were back in the black from March 2023 onward, while the economy more generally ended the year with a strong finish. That said, healthcare margins remain slim, and expenses continue to grow. Finding efficiency savings across all operations remains a top priority. That's where revenue cycle automation comes in. With revenue cycle automation, providers can eliminate many of the persistent pain points in traditional revenue cycle management (RCM). Staff no longer lose time to tedious manual tasks, patients get their queries answered faster, and managers get the meaningful data they need to drive improvements. And the biggest win? It's easier for providers to get reimbursed for the services they provide – faster and in full. What is revenue cycle automation and how does it work? Healthcare revenue cycle management knits together the financial and clinical components of care to ensure providers are properly reimbursed. As staff and patients know all too well, this can be a complex and time-consuming process, involving repetitive tasks and lengthy forms to ensure the right parties get the right information at the right time. This requires data pulled from multiple databases and systems for accurate claims and billing, and is a perfect use case for automation. Revenue cycle automation refers to the application of robotic process automation (RPA) to these repetitive, rules-based processes. In practice, this might include: Automatically generating and issuing invoices, bills and financial statements Streamlining patient data management and exchanging information quickly and reliably Processing digital payments Collating and analyzing performance data to draw out useful insights. Common RCM challenges Automation is already making headway in tackling some of the most pervasive challenges, such as: Stemming the rise in claim denials: Experian Health's State of Claims 2022 survey found that a third of providers had around 10-15% of their claims denied. These often result from errors made earlier in the revenue cycle such as incorrect patient information or overlooked pre-authorizations. RCM automation reduces the propensity for errors significantly. Streamlining patient access: Without a welcoming digital front door, the revenue cycle gets off on the wrong foot. Automation can be deployed in patient scheduling and registration to ensure patient information is collected and stored quickly and accurately. Improving collections rates: Self-pay patients (who are increasing in number) want clear, upfront information about what their care is likely to cost. Providers can find themselves playing catch-up if patients are unsure about what they owe. Automated tools that generate accurate estimates and support pre-service payment can build a more resilient cash flow. Expanding access to data insights: One of the biggest ironies in revenue cycle management is that more data is collected than ever, but managers are struggling to digest it and uncover actionable insights. RCM automation helps identify patterns in claims and collections. Six ways revenue cycle automation accelerates reimbursements Let's break down these opportunities into six specific actions providers can take to improve their organization's financial health: 1. Capture accurate information quickly during patient access Victoria Dames, Vice President of Product Management at Experian Health, says, “Patient access is the first step in simplifying healthcare and revenue cycle processes. Replacing manual processes and disjointed systems with integrated software solutions can reduce errors, improve efficiency, offer convenience and transparency to patients, and accelerate the healthcare revenue cycle.” Patient Estimates automatically compiles an accurate breakdown of what a patient is likely to owe before or at the point of service. It builds in prompt-pay discounts, financial assistance advice and instant payment links, so patients are more likely to pay sooner. 2. Simplify collections and focus on the right accounts Healthcare collections are a drag on resources. Automating the repetitive elements in the collections process helps reduce the burden on staff. Collections Optimization Manager leverages automation to analyze patients' payment histories and other financial information to route their accounts to the right collections pathway. Scoring and segmenting accounts means no time is wasted chasing the wrong accounts. Patients that can pay promptly are able do so without unnecessary friction. As a result, providers get paid faster. 3. Reduce manual work and staff burnout Chronic staffing shortages continue to plague healthcare providers. In Experian Health's recent staffing survey, 96% of respondents said this was affecting payer reimbursements and patient collections. While automation cannot replace much-needed expert staff, it can ease pressure on busy teams by relieving them of repetitive tasks, reducing error rates and speeding up workflows. Hear Jonathan Menard, VP of Analytics at Experian Health talk to Andrew Brosnan of Omdia about how AI and automation are addressing staff burnout and improving revenue cycle efficiency. 4. Maintain regulatory compliance with minimal effort While regulatory compliance may not directly influence how quickly providers get paid, it does play a crucial role in preventing the delays, denials and financial penalties that impede the overall revenue cycle. Constant changes in regulations and payer reimbursement policies can be difficult to track. Automation helps teams continuously monitor and adapt to these changes for a smoother revenue cycle – often with parallel benefits such as improving the patient experience. One example is Experian Health's price transparency solutions, which help providers demonstrate compliance with surprise billing legislation while boosting patient loyalty via a more compassionate financial experience. 5. Improve the end-to-end claims process Perhaps the most obvious way RCM automation leads to faster reimbursement is in ensuring faster and more accurate claims submissions. Automated claim scrubbing, real-time eligibility verification, more reliable coding, and easier status tracking all improve the chances of a provider being reimbursed promptly and fully. And as artificial intelligence (AI) gains traction, providers are discovering new ways to use technology to improve claims management. AI AdvantageTM uses machine learning to find patterns in payer behavior and identify undocumented rules that could lead to a claim being denied, alerting staff so they can act quickly and avert issues. Then, it uses algorithmic logic to help staff segment and rework denials in the most efficient way. Providers get paid sooner while minimizing downstream revenue loss. 6. Get better visibility into improvement opportunities Finally, automation helps providers analyze and act on revenue cycle data by identifying bottlenecks, trends and improvement opportunities. Automated analyses bring together relevant data from multiple sources in an instant to validate decisions. Machine learning draws on historical information to make predictions about future outcomes, so providers can understand the root cause of delays and take steps to resolve issues. A healthcare revenue cycle dashboard is not just a presentation tool; it facilitates real-time monitoring of the organization's financial health, so staff can optimize workflows and speed up reimbursement. Revenue cycle automation is the solution Just like any business, healthcare organizations must maintain a positive cash flow to remain viable and continue serving their communities. Together, these six revenue cycle automation strategies can cut through many of the common obstacles that get in the way of financial stability and growth. Learn more about Experian Health's revenue cycle management technology and see where automation could have the biggest impact on your organization's financial health.

Racing against the clock to troubleshoot billing issues, claims bottlenecks and staffing shortfalls are just part of an average day for healthcare revenue cycle managers. It's hard enough to maintain the status quo, never mind driving improvements in denial rates and net revenue. With integrated artificial intelligence (AI) and automation, many of these challenges in revenue cycle management (RCM) can be alleviated – and with just a single click. Real-time coverage discovery and coordination of benefits software reduces errors and accelerates accurate claim submissions. This eases pressure on busy RCM leaders, so they have the time to focus on improving the numbers that matter most. Top challenges in revenue cycle management Efficiency is the currency of revenue cycle management. Maximizing resources is not just about keeping dollars coming in the door but about making the best use of each team member's time and expertise. The ever-present call to “do more with less” is probably the biggest challenge. Breaking that down, some specific concerns that consume more time and resources than RCM managers would like, are: Complex billing procedures: With hundreds of health payers operating in the US, each offering different plans with different requirements, providers have their work cut out to ensure claims are coded and billed correctly. Any errors in verifying a patient's coverage, eligibility, benefits, and prior authorization requirements can lead to delays and lost revenue. More claim denials: Inaccurate patient information and billing codes guarantee a denial. Beyond the rework and revenue loss, denied claims leave patients with bills that should not be their responsibility to pay, causing confusion, frustration, and higher levels of bad debt. Garbage in, garbage out. Patient payment delays: A few years back, patients with health insurance represented about a tenth of bills marked as bad debt. Now, this group holds the majority of patient debt, according to analysts. The rise in high-deductible health plans combined with squeezed household budgets means patients are more likely to delay or default on payments. Providers must be on the lookout for ways to help patients find active coverage and plan for their bills to minimize the impact of these changes. How can AI-powered revenue cycle management solutions help? The Council for Affordable Quality Healthcare (CAQH) annual index report demonstrates how much time can be saved using software-based RCM technology. Case in point: switching from manual to automated eligibility and benefits verification could save 14 minutes per transaction. This adds up quickly when daily, monthly, and yearly transactions are factored in. Predictive analytics can be used to pre-emptively identify and resolve issues and support better decision-making, giving providers a head start on those elusive efficiency gains. Three specific examples of how automation, AI and machine learning can streamline the front-end and solve challenges in revenue cycle management are as follows: 1. Upfront insurance discovery to find and fill coverage gaps Confirming active coverage across multiple payers gives patients and providers clarity about how care will be financed. But this can be a resource-heavy process when undertaken manually. Coverage Discovery uses automation to find missing and forgotten coverage with minimal resource requirements. By unearthing previously unidentified coverage earlier in the revenue cycle, claims can be submitted more quickly for faster reimbursement and fewer write-offs.With Experian Health's recent acquisition of Wave HDC, clients now have access to faster, more comprehensive insurance verification software solution. The technology works autonomously to identify existing insurance records for patients with self-pay, unbillable, or unspecified payer status and correct any gaps in the patient's coverage information. The patient's details are updated automatically so that a claim can be submitted to the correct payer. 2. Real-time eligibility verification and coordination of benefits As it gets harder to figure out each patient's specific coverage details, it also makes sense to prioritize automated eligibility verification. Eligibility Verification uses real-time eligibility and benefits data to confirm the patient's insurance status on the spot.Similarly, Wave's Coordination of Benefits solution, now available to Experian Health clients through Patient Access Curator, integrates directly into registration and scheduling workflows to boost clean claim rates. It automatically analyzes payer responses and triggers inquiries to verify active coverage and curate a comprehensive insurance profile. This means no insurance is missed, and the benefits under each plan can be coordinated seamlessly for more accurate billing. 3. Predictive denials management to prevent back-end revenue loss Adding AI and machine learning-based solutions to the claims and denials management workflow means providers can resolve more issues pre-claim to minimize the risk of back-end denials. Use cases for AI in claims management might include: Automating claims processing to alleviate staffing shortages Reviewing documentation to reduce coding errors Using predictive analytics to increase operational efficiency Improving patient and payer communications with AI-driven bots All of these contribute to a front-loaded denials management strategy. While prevention is often better than a cure, AI can be equally effective later in the process: AI AdvantageTM arms staff with the information they need to prevent denials before they occur and work them more efficiently when they do.Whatever new challenges may pop up on the RCM horizon, AI and automation are already proving their effectiveness in helping providers save time and money. But more than that, they're giving busy RCM leaders the necessary tools to start future-proofing their systems for persistent and emerging RCM challenges. Learn more or contact us to find out how healthcare organizations can use AI and automation to manage current revenue cycle management challenges with a single click.