Tag: patient financial clearance

The ecosystem of healthcare revenue management involves the entire lifecycle of medical billing. It starts with patient scheduling to encounters, then moves to coding and medical billing. However, understanding the basics of medical billing isn't just for the back-office team: it's vital for front-office staff too, especially those dealing directly with patients. Many patients arrive with coverage from multiple payers and high deductibles, which makes claims and collections processes increasingly complex. Providers that get the billing basics right can deliver a better patient experience while setting themselves up for financial success. Discover the key steps in the medical billing cycle and learn how healthcare providers can improve efficiency, streamline collections, and increase profits from appointment scheduling to payment completion. What are medical billing basics? Medical billing is about ensuring providers get paid for the services they provide, whether that be submitting claims to payers or invoices to patients. The workflow may be broken down into three phases: Front-end medical billing: The process starts with patient intake and registration. During this process, staff collect relevant information about the patient, their coverage, and their diagnosis and treatment. They must know what payers require in terms of claims documentation so they can collect the right data upfront. At this time, staff will also inform patients of their financial responsibility, so patients are prepared for their upcoming bills, or can make payments before service.yr45 Back-end medical billing: This part of the cycle occurs after the encounter. Once it's documented, medical coders and billers use information obtained during registration to figure out who pays what toward the final bill. Coding rules and documentation requirements vary considerably, depending on payer type (commercial, government or self-pay) and individual payer policies, so many organizations use automation and artificial intelligence to increase medical billing accuracy and minimize denials. These tools also support the claims adjudication process. Patient collections: If there are any remaining balances after insurance reimbursement, healthcare organizations generate bills for patients. These detail the services provided, the amount already covered by insurance, and any outstanding balances owed by the patients. Increasing numbers of self-pay patients with high deductibles put new pressure on patient collections, and managing the workflow is challenging without technology, data and analytics. Healthcare organizations struggle to collect more than one-third of patient balances greater than $200, which makes understanding how to improve medical billing is essential. What’s the relationship between the medical billing revenue cycle, successful billing and patient collections? Within the medical billing revenue cycle, there are opportunities to maximize efficiency and accuracy, with tangible benefits for staff, patients, and those with an eye on profits. These opportunities rely on bridging the gaps between the three phases above with reliable data and integrated workflows. Some strategies and tools include: Find missing coverage: Proactively identifying billable government and commercial coverage is a huge relief for patients, who won't be billed for amounts that could be paid via alternative sources. Additionally, providers are more likely to be reimbursed. Coverage Discovery uses multiple proprietary databases to scan for missing or forgotten coverage throughout the patient journey. In 2023, this solution tracked down billable coverage in 32.1% of patient accounts, resulting in more than $25 million in previously unknown coverage. Tailored payment options for patients: Providing upfront pre-service cost estimates for patients gives them clarity about what they'll owe so they're less likely to be shocked when they receive their bill, and are more likely to pay on time. Patient Payment Estimates generates quick, accurate pricing estimates along with a clear breakdown of how the costs have been calculated and secure links to instant payment methods. Helping patients find financial assistance: From the first encounter, patient financial data can be interrogated to determine whether they may be eligible for financial assistance. Getting them on the right pathway from the start means they're less likely to delay and default on bill payments. Flexible payment plans: Research from Experian Health and PYMNTS shows patients are eager for flexible ways to pay. Rigid and protracted processes are inconvenient for patients and often end up multiplying medical debt, which is bad news all round. Simple self-service tools can meet patients where they are and help them manage their bills, whether they prefer to pay in full and up front, or they need to break it into more manageable instalments. This reduces payment delays and lessens the medical debt burden on all parties. Streamlined, secure payments: PaymentSafe® accepts secure payments anywhere, anytime, using eChecking, debit or credit card, cash, check and recurring billing – all through a single, easy-to-use web tool. Every patient encounter becomes an opportunity to collect payments with minimal fuss. Automated patient outreach: An easy win with automation is to issue appropriate reminders to patients about upcoming and overdue payments. Automated dialing and texting campaigns mean patients get relevant information through convenient channels, and staff can focus on more complex collections cases. Strategic collections management: Segmenting and prioritizing collections accounts based on propensity to pay allows staff to spend their time where it matters most. Automation and data analytics can be used to route accounts to the correct pathway, resulting in a more compassionate patient experience, better use of resources, and increased collections overall. Identifying inefficiencies in medical billing To select and implement the above strategies and RCM medical billing solutions, it's important to identify where inefficiencies and gaps are in the process. Some questions to consider are: Are we relying too heavily on manual entry in our billing activities? What are the root causes behind our medical billing errors? Are our tracking and reporting efforts throughout the billing lifecycle? How accurate are our payment estimates and eligibility verification processes? Are our current payment acceptance practices and plans effective? How successful and compassionate are our patient outreach efforts? By assessing each area, providers can pinpoint opportunities to simplify the medical billing workflow and use revenue cycle management technology to accelerate collections. Optimize patient collections with the Collections Optimization Manager One specific example of how healthcare organizations can improve patient collections is with Collections Optimization Manager, which uses data analytics to manage the medical billing basics and customize collections strategies. The platform streamlines patient collections by screening out bankruptcies, deceased accounts, Medicaid and other charity eligibility, so staff don’t waste time chasing payments. Remaining accounts are grouped and routed to the most appropriate pathway, so they can be dealt with quickly and effectively. Case study: See how St. Luke's University Health used Collections Optimization Manager to collect an additional $1.2 million in average monthly collections,, in the midst of staffing shortages. Explore more ways to use Collections Optimization Manager to streamline the medical billing basics and accelerate patient collections.

Discovering that a patient's insurance doesn't cover planned care is frustrating for patients and providers. With revenue and patient satisfaction on the line, verifying active coverage should be simple and efficient. However, the process often involves digging through an ever-expanding mountain of data, which consumes valuable time and resources. Increasing patient volumes, frequent payer updates, and new demands for pre-authorization all play a role. Additionally, the impact of nearly 12 million Americans losing Medicaid coverage since April 2023 adds to the challenge.  It's unsurprising that many healthcare organizations no longer rely on manual processes to verify a patient's insurance details. To address these issues, many providers are turning to medical insurance verification software. The CAQH 2022 Index reports that automation of eligibility and benefits verification has increased by 25% over the last 10 years, as providers turn to medical insurance eligibility verification software for more reliable results. This article looks at how these tools are helping healthcare organizations increase their profitability and the questions to consider when selecting the right eligibility verification solution. What is medical insurance verification software? Medical insurance verification software automates the process of checking that a patient's insurance information is current and correct. With just a few clicks (or just a single click when using Patient Access Curator), the software collects data from multiple sources to confirm that prescribed services or treatment are covered by the patient's health plan. Unlike manual processes that involve checking individual payer websites and cross-referencing patient data by hand, an automated solution returns accurate information in an instant. Adoption of this software has grown significantly in recent years because of its ability to drive operational efficiency and reduce revenue loss. More than 90% of medical providers now opt for electronic eligibility verification, according to the CAQH 2022 Index. The report highlights this as a top savings opportunity for the industry, having helped providers avoid almost $81m in costs arising from manual transactions. It's particularly cost-effective for smaller organizations with tighter budgets. How it works: the eligibility workflow Here's what the insurance eligibility verification process looks like in practice: As soon as the user registers the patient, they can make an eligibility request and the software immediately determines whether the patient has coverage on file and whether that coverage has been verified. An optional MBI lookup service can be used to check transactions against MBI databases to see if the patient may be eligible for Medicare. If a patient is eligible for Medicare, the response will confirm the type of Medicare and flag up any missing patient information. If they are not eligible, the transaction will be routed through the regular verification process. For non-Medicare transactions, the software will confirm any other coverage found and provide subscriber details. Benefits of medical insurance eligibility verification software for providers and patients As with all data-driven revenue cycle processes, even the smallest eligibility verification errors can result in denied claims, wasted staff time and lost dollars. Automating the process minimizes the risk of incomplete patient data, outdated insurance information and simple human mistakes. But while accuracy is paramount, the benefits of insurance eligibility software go much further: Boost cash flow and cost savings: Identifying the correct insurance coverage improves the billing process to increase and accelerate reimbursement. With fewer denied claims, more revenue comes in the door and staff time need not be spent on costly rework. Increase operational efficiency: Software automates and streamlines the verification process, saving time and reducing the burden on staff. As labor shortages persist, fewer staff may be available, so any action that makes better use of resources will result in efficiency gains and let staff focus on higher-value tasks. Simplify workflows: Busy providers don't have time for lengthy onboarding exercises or training programs. An eligibility verification product with an intuitive interface that integrates with other information management systems can shortcut the learning curve, while alerts and smart work queues help staff prioritize the right tasks. Leave room to grow: Providers need solutions that can scale in step with increasing patient numbers and administrative complexity. Medical insurance eligibility verification software can adapt to changing needs with minimal disruption. Improve the patient experience: A more reliable verification process means providers can generate accurate and timely cost estimates for patients, which makes it easier for them to understand their financial responsibility and plan for bills. And by eliminating time-consuming manual tasks, software speeds up registration and gives staff more time to focus on patient care. Again, this means more dollars coming in the door. Key features to look for in medical insurance verification software When selecting a platform, healthcare organizations should consider the following questions: Does it pull from reliable data sources? Does the software integrate with existing payer and information management systems? Is the system easy for staff to use? Does it incorporate monitoring and reporting functions? Does the supplier offer ongoing support? Experian Health's Insurance Eligibility Verification solution was developed with these questions in mind. It gathers data from more than 900 payer websites, along with other sources, to generate detailed responses. Advanced search optimization increases the chance of a positive match, so no active coverage slips through the net, while the CAQH Coordination of Benefits Solution data feature gives access to real-time primary and secondary coverage data with 99.5 percent accuracy. Providers that already use Experian Health products, such as eCare NEXT®, can access Eligibility through the same interface, so staff can use it right away and generate combined performance reports. One of the major advantages of Eligibility is the optional Medicare beneficiary identifier (MBI) look-up service, as described below. And now, healthcare providers have an additional tool to add to their eligibility arsenal: Patient Access Curator. With Experian Health's recent acquisition of Wave HDC, users can leverage AI-guided data capture technology to quickly check and correct patient insurance information. Patient Access Curator not only verifies insurance eligibility, it also facilitates accelerated coordination of benefits processing, runs automated MBI checks, searches for missing coverage, and analyzes a patient's propensity to pay – all in a single click. Close the coverage gap with medical insurance verification software While insurance verification software improves eligibility review processes, one question remains: how can providers help patients who are found to have invalid coverage? One option is to help patients find alternative coverage, using a solution like Coverage Discovery. Similarly, Patient Financial Clearance can identify patients who may be eligible for Medicaid or charity assistance, and can point them toward manageable payment plans if they have a self-pay balance. In this way, automated solutions can go even further to help providers create a positive patient experience and ultimately reduce the burden of bad debt. As providers embrace the benefits of automation, selecting the right solution is crucial. Tools that integrate workflows throughout patient access and the wider revenue cycle will make it easier to manage change, maximize resources and boost profitability. Find out more about how Insurance Eligibility Verification helps healthcare organizations increase reimbursements with automated eligibility checks. Learn more Contact us

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

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.

More than 13 million Americans have lost Medicaid coverage since continuous enrollment came to an end in April 2023. Unwinding the emergency provisions requires states to determine which individuals remain eligible for Medicaid, leading to widespread disenrollment. The Medicaid redetermination process created a major admin burden for agencies and providers, and now, the impact of that burden on patients has become clear: more than 7 million of those who lost coverage were disenrolled because of administrative processes, and not due to ineligibility. While some will find coverage elsewhere, many will be left without insurance. These coverage gaps disrupt health services with adverse effects for patients and providers. In a recent webinar, Kate Ankumah and Mindy Pankoke, Product Managers at Experian Health, reflect on the Medicaid redetermination process and discuss how providers can mitigate the effects of redetermination heading into 2024. Recap: Medicaid continuous enrollment provision timeline How does the Medicaid redetermination process work? The redetermination process, led by state agencies, involves reviewing Medicaid rosters and automatically renewing coverage for individuals that still qualify, based on benefits or other government data. When coverage cannot be confirmed automatically, states need to reach out to patients to fill in the gaps. If the individual is no longer eligible (or does not provide the necessary data), they will be removed from coverage lists. Many patients are confused about the process and may not even realize they're no longer covered, leading to delays and distress when they try to access care. This blog post breaks down the 5 things providers can do if a patient loses Medicaid coverage. 1. Tighten up insurance eligibility verification processes During the webinar discussion, Kate Ankumah explains that implementing a reliable eligibility verification tool is essential to reduce financial risk, increase revenue and streamline staff workflows: “With our Eligibility product, we connect to more than 900 payers with search optimization. Providers don't need to send the same information over and over – we'll run through the search options ourselves and find the information as quickly as possible. Then we standardize the data so front desk staff can read all the responses in the same way. We also build in alerts. A couple of clients have alerts set up for Medicaid redetermination dates that pop up if a patient is due for redetermination so the front desk staff know to have a conversation with them about it.” Eligibility also includes an optional Medicare beneficiary identifier (MBI) lookup service, to check if any patients who may have been disenrolled from Medicaid are now eligible for Medicare. 2. Find missing coverage with Coverage Discovery Providers may also want to automate the search for any active coverage that may have been overlooked. Coverage Discovery searches for possible billable government or commercial insurance to eliminate unnecessary write-offs and give patients peace of mind. Using advanced search heuristics, millions of data points and powerful confidence scoring, this tool checks for coverage across the entire patient journey. If the patient's status changes, their bill won't be sent to the wrong place. In 2021, Coverage Discovery identified previously unknown billable coverage in more than 27.5% of self-pay accounts, preventing billions of dollars from being written off. 3. Quickly identify patients who may be eligible for Medicaid and financial assistance The lack of clarity around enrollment and eligibility is disruptive for claims and collections teams. How can they handle reimbursements and billing efficiently if financial responsibility is unclear? Denial rates are already a top concern for providers, and staff cannot afford to waste time seeking Medicaid reimbursement for disenrolled patients. Patient collections also take a hit when accounts are wrongly designated as self-pay. With Patient Financial Clearance, providers can quickly determine if patients are likely to qualify for financial support, then assign them to the right financial pathway, using pre- and post-service checks. Self-pay patients can be screened for Medicaid eligibility before treatment or at the point of service, and then routed to the Medicaid Enrollment team or auto-enrolled as charity care if appropriate. Post-visit, the tool evaluates payment risk to determine the most suitable collection policy for those with an amount to pay and can set up customized payment plans based on the patient's ability to pay. Patient Financial Clearance also runs back-end checks to catch patients who have already been sent a bill but may qualify for Medicaid or provider charity programs. This helps secure reimbursement and means patients are less likely to be chased for bills they can't pay. 4. Screen and segment patients according to their propensity to pay Optimizing collections processes is always a smart move for providers, but particularly now that federal support has ended. Collections Optimization Manager uses advanced analytics to segment patient accounts based on propensity to pay and send them to the appropriate collections team. Drawing on Experian's consumer credit data, Collections Optimization Manager's segmentation models are powered by robust and proprietary algorithms. These models screen out Medicaid and charity eligibility, so collections staff focus their time on the right accounts. Case study: See how University of California San Diego Health (UCSDH) increased collections from around $6 million to over $21 million in just two years using Collections Optimization Manager. 5. Make it simpler for patients to manage and pay bills The reality is that many patients affected by the unwinding of continuous enrollment will be on low incomes. When more than half of patients say they'd struggle to pay an unexpected medical bill of $500, providers should make it easier for patients to gauge their upcoming bills. Patient Financial Advisor and PatientSimple® can help patients navigate the payment process with pre-service estimates, access to payment plans and convenient payment methods they can access on a computer or mobile device. Together, these tools can help providers manage Medicaid changes efficiently and offer extra support to patients who may be facing disenrollment. Watch the webinar to see the full discussion on how Medicaid redetermination is affecting providers and find out how Experian Health's digital solutions can help healthcare organizations quickly and easily verify insurance coverage.

The media has extensively covered the healthcare workforce shortage and its impact on patient care. It's a chronic, dangerous problem that seems to worsen, despite the industry's efforts to staff up. A recent Experian Health survey found severe and long-term implications for revenue cycle management and its impact on provider and patient care. 100% of revenue cycle leaders surveyed agree the pervasive healthcare workforce shortage impacts their facility's ability to get paid. The problem isn't going away; most survey participants (69%) expect recruiting challenges to continue. Furthermore, nine of 10 survey participants admit to a double-digit turnover rate. However, the shortage of qualified labor is impacting healthcare in other areas beyond patient outcomes. The report shows the bottom line is clear: The healthcare workforce shortage impedes the industry's ability to get paid. How can providers solve this? Experian Health's survey, “Short Staffed for the Long-Term,” polled 200 revenue cycle executives to understand the impact of the hiring deficit's impact on provider cash flow. Survey Finding #1: Staffing shortages impede payer reimbursements and patient collections. 32% of survey participants said patient collections is the revenue cycle channel most impacted by healthcare workforce shortage. 22% said payer reimbursements are most affected by staff shortages. 43% said both channels were equally impactful to the healthcare revenue cycle. There was little disagreement in the survey around whether provider revenue cycle suffers from a lack of qualified staff. The debate centered on which reimbursement channel took the biggest hit. Experian Health's staffing survey revealed revenue cycle executives agree that collecting late patient payments is much more complicated now. The worker shortage impedes the ability to manage this process. In an era when many patients put off care due to high out-of-pocket costs, maximizing collections is more important than ever. Short-staffed, overworked healthcare collections teams require the time and tools to optimize the collections process by identifying the accounts more likely to pay. Patient collections teams could also benefit from software that finds financial assistance that could ease self-pay burdens. Collections Optimization Manager saves staff time by automatically determining the most suitable patient collections approach. The University of San Diego California Health (UCSDH) uses this software to segment patients by propensity to pay. It allows collections agents a more efficient, personalized approach to improve the revenue cycle and the patient relationship. From 2019 to 2021, UCSDH increased collections from $6 million to more than $21 million with this solution. Patient Financial Clearance automates screening prior to service or at the point of-service to determine if patients qualify for financial assistance, Medicaid, or other assistance programs. Kootenai Health leverages the software, which increased the accuracy of determining patient financial assistance by 88%, and saved 60 hours of staff time through automation. Together, these tools can ease the healthcare workforce shortage by optimizing and streamlining collections. Survey Finding #2: The healthcare workforce shortage contributes to increasing denial rates. 70% say escalating staff shortages increase claims denials. 92% report new staff member errors are a significant factor in delayed or declined reimbursement. Today, healthcare providers are seeing claim denials increase by 10 to 15% year over year. A lack of qualified revenue cycle staff costs billions annually in preventable revenue cycle errors. 35% of healthcare leaders admit losing more than $50 million yearly on denied claims. The complexities of the revenue cycle particularly challenge new staff; 92% of survey respondents say errors are common. Denied claims ripple across the revenue cycle, tying up staff time and provider cash flow. Ultimately, it is patients and staff who suffer. When hospitals experience restricted cash flow, it can hamper their ability to effectively deliver the highest quality care. When staff stretch to their limit due to the healthcare workforce shortage, they may make more errors, burnout, or quit. Automating the claims process is a necessity in this challenging environment. Tools like ClaimSource® and Claim Scrubber can catch errors before submission, reducing undercharges and denials. Franklin Healthcare Associates, a 100-provider, four-location practice, used Claim Scrubber to reduce accounts receivable (A/R) by 13%. As claims volume grew, the practice decreases its full-time employee (FTE) requirements by leveraging this automated tool. It's one clear example of how technology can stretch staff farther to improve the bottom line. Survey Finding #3 Staffing deficits aren't going away. Close to 70% of respondents believe revenue cycle staffing levels will continue as a problem into the future. Staff turnover is a contributing factor; 80% said their organization's turnover revenue of cycle management staff is between 11-40%. Experian Health's survey confirms that healthcare teams struggle to find qualified staff. Staff turnover is a significant contributor to a revolving hiring door. One survey showed the average hospital turnover rate is 100% every five years. Traditional solutions to the problem include throwing more money into salaries, bonuses, or other perks. Overtime is a go-to remedy for the chronic healthcare worker shortage. But these approaches strain the provider bottom line. A recent Kauffman Hall survey shows: 98% of healthcare providers have raised minimum wage or starting salaries. 84% offer signing bonuses, and 73% offer retention bonuses. 67% experienced wage increases of more than 10% for clinical staff. The American Hospital Association (AHA) states, “Hospitals also have incurred significant costs in recruiting and retaining staff, which have included overtime pay, bonus pay and other incentives.” But what if recruiting isn't the answer to the healthcare workforce shortage at all? Artificial intelligence (AI) and automation software can help cut costs and lessen the workload of existing staff. The latest data suggest providers could save close to $25 billion annually (one-half of what they spend on administrative tasks) if they leveraged these tools. Experian Health's  AI Advantage™ uses powerful algorithms to automate manual claims processes to reduce denial and lessen the volume of tasks for revenue cycle staff. The software works in two critical areas: Predictive Denials proactively cleans claims before they are submitted. The software flags claims at risk of denial, allowing manual intervention for a clean submission—with no denials. Denial Triage manages denied claims by identifying the highest value reimbursements to maximize cash flow. Instead of chasing low-value claims or those least likely to pay, the software prioritizes where revenue cycle staff should spend their time for the greatest return. Schneck Medical Center saw significant ROI from this software in just six months. AI Advantage helped the facility reduce denials by an average of 4.6% per month. Claims corrections that took up to 15 minutes in the past now take under five minutes. Better software can do more than help hospitals get paid faster. Automating revenue cycle management processes frees up staff time. More time and less pressure mean fewer mistakes. Automation can ease the impact of the healthcare workforce shortage Two of the most pressing problems hospitals face today are the healthcare workforce shortage and revenue cycle impediments that keep them from getting paid. These challenges interconnect, and providers can solve them both with better technology to automate time-wasting manual functions. AI and automation in healthcare can cut costs and reduce staff burnout. Deploying revenue cycle software to automate billing, claims management, and collections could save $200 billion to $360 billion in spending in this country. These numbers are real. But so are the numbers showing increasing claims denials, staff burnout, turnover, and difficulties recruiting in the healthcare field. Today, the answer for hospitals to get paid faster is to leverage modern technology to improve the revenue cycle. Learn more about how Experian Health's revenue cycle management solutions can help automate common processes, and download the new survey to see the latest healthcare staffing shortage stats.

Could common revenue cycle management (RCM) myths be preventing healthcare organizations from getting paid in full? Does what constituted best practice a few years back still apply to revenue cycle operations today? Many providers are embracing new technology to strengthen their RCM processes, using automations and software to create more accurate and efficient billing and claims management workflows. But if these processes are built on shaky assumptions, the results will be sub-optimal. As year-end financial reviews get under way, there is a prime opportunity to re-evaluate some long-standing beliefs about billing, collections and payments that, if not set straight, could limit financial performance in the year ahead. This article examines four of the most common revenue cycle myths and considers what providers can do to make financial growth a reality in 2024. Revenue Cycle Myth 1: All patients are equally likely to pay Reality: No two patients are alike – whether in their medical needs or financial circumstances. Providers know this, yet many rely on revenue cycle management solutions that lean toward a one-size-fits-all approach to patient payments. Instead, providers should consider RCM tools that use data and analytics to segment patients according to their individual financial situation, to create a more personalized and proactive approach to collections. This should take account of both the patient's ability to pay (i.e., whether they can afford their bills), and their likelihood to pay promptly, which may be enhanced by offering payment options that are convenient and aligned to their personal preferences. Collections Optimization Manager analyzes patients' individual payment history and demographic information so their accounts can be routed to the most appropriate collections pathway from the start. Patients that are likely to pay quickly can be sent billing information automatically and presented with self-service payment options. Alongside this, Patient Financial Clearance pulls together credit and non-credit data to help providers identify patients who may need a little more guidance and connect them to suitable payment plans. It catches any individuals who may be eligible for Medicaid or charity support. Staff get accurate, at-a-glance data to help them have sensitive financial conversations with patients, and can avoid losing time chasing collections from patients who would never have been able to pay. Case study: See how Stanford Health Care improved collections with a tailored, patient-focused approach to healthcare collections. Myth 2: It's hard to have meaningful pre-service financial conversations with patients Reality: Contrary to popular belief, most patients are receptive, and even eager, to have financial discussions with their provider as soon as possible. Doing so need not be challenging. In the past, providers may have worried that broaching the money question could deter patients from seeking necessary care, or simply not prioritized such discussions. Billing and insurance can also be highly complex, which may lead staff to assume that patients would find conversations about these issues to be confusing or overwhelming. But it is for these exact reasons that providers should have financial discussions with patients as early as possible. Experian Health's 2023 State of Patient Access survey found that almost 90% of patients wanted upfront pricing estimates so they could plan ahead for their financial obligations – yet less than a third received one. Tools like Patient Payment Estimates and Patient Financial Advisor can calculate cost estimates, taking account of the patient's claim history, deductibles and other insurance information, and automatically send these to patients before treatment so they know what to expect. These can also be combined with quick payment links so bills can be cleared before care. Giving patients consistent information through whichever digital channel they prefer means they will be better positioned to make informed decisions and discuss their situation with patient access staff if necessary. When patients are better informed and supported, they're also less likely to end up postponing care due to cost concerns. And with the same accurate data at their fingertips, patient access staff can serve as financial concierges, helping patients to understand coverage and copayments and check eligibility for relevant financial assistance programs. In addition to user-friendly data tools, providers should consider whether staff would benefit from additional training to bolster their confidence in leading compassionate financial conversations. Myth 3: It's impossible to know what patients owe across a system with a single look-up Reality: Thanks to data analytics and digital payment technology, it is now pretty straightforward to consolidate a patient's outstanding balance information from across an entire health system, and debunks common revenue cycle myths. Patient access staff can view a comprehensive summary of a patient's insurance status, estimated liability and open balances from multiple providers, enabling them to have meaningful financial conversations with patients. Even if these discussions do not lead to immediate payment, they can still act as a reminder to nudge the patient to act soon, thus accelerating the payment process. Selecting RCM tools from a single vendor makes it easier to integrate data from multiple workflows and generate a unified view of what a patient owes. When systems talk to each other, it's possible for a single tool to leverage the data and create a better experience for patients and staff. For example, PaymentSafe® automatically brings together data gathered throughout the revenue cycle to streamline what was previously a disjointed and time-consuming process. With point-to-point encryption, it accepts secure payments at any point in the patient's journey, using cash, check, card payments and recurring billing, through a single web-based application. Myth 4: Revenue cycle management is “set-and-forget” Reality: Revenue cycle managers may dream of setting up a system once and then forgetting about it, but the reality is that managing billing, claims and collections is an ongoing and evolving process that needs constant attention. Healthcare organizations must regularly review and adjust their RCM strategies to prevent missed revenue opportunities, manage compliance risks and promote operational efficiencies. That said, data analytics and automated revenue cycle management tools do make it far easier for providers to stay on top of RCM demands. These tools help providers with everything from monitoring payer policy changes and identifying billing errors to personalizing patient communications and generating monitoring reports. Artificial intelligence takes it a step further, for example, by preventing and predicting claim denials. In this way, these tools reduce the need for extensive staff input, so staff can spend more time focusing on the issues that need more human attention. With up-to-the-minute reports covering multiple RCM processes, staff also have the information they need to optimize performance and find opportunities to boost reimbursement that may have been previously overlooked. So, while RCM is not quite a “set-and-forget” process, automations and analytics can simplify it significantly, so it's less labor-intensive for staff and more efficient overall. Debunk revenue cycle myths and proactively challenge assumptions to increase profitability Debunking these revenue cycle myths is simple and achievable with tools that integrate a patient's clinical and financial data for a fuller picture of what that patient needs. This is crucial as changing consumer expectations, economic drivers, and new technology reshape how patients, providers and payers interact with one another. Checking underlying assumptions in any RCM process is essential to root out potential misunderstandings and outdated thinking. Not doing so leaves providers vulnerable to inaccurate financial projections, mismatched strategies and poor patient experiences. See how Experian Health's industry-leading Revenue Cycle Management Solutions make streamlined billing and collections a reality.

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.

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.