As 2023 draws to a close, revenue cycle leaders are in planning mode, reviewing financial performance, and gearing up for resource allocation negotiations in the new year. What should they be prioritizing? Three of Experian Health's senior executives share their healthcare predictions for 2024 based on the latest healthcare trends, and the steps providers can take to maximize reimbursements in the year ahead. Healthcare prediction #1: “Staffing shortages will persist, driving demand for technology-based solutions over traditional HR tactics” According to Jason Considine, Chief Commercial Officer, the healthcare staffing shortage is unlikely to let up any time soon: “In our recent survey, we found that 100% of respondents are seeing ongoing shortages affect revenue cycle management and patient engagement. There's an urgent need to address the problem, but too many providers are relying on traditional recruitment approaches that won't give them the longer-term resilience they need. Heading into 2024, providers should leverage technology and data to alleviate the burdens on front and back-end operations, and drastically improve efficiencies. This will better protect providers from the talent pipeline fluctuations that cause major disruptions.” This healthcare prediction for 2024 is based on Experian Health's staffing survey that was relased in 2023. Participants in the survey agreed that the staffing crisis would continue, expressing concerns about its impact on revenue and patient engagement. For many, the culprit is high turnover rates. More than four in ten said turnover in their administrative teams exceeds 25%. Given the difficulties in finding skilled candidates and addressing staff burnout, it seems clear that traditional HR-based strategies will fall short. Despite this, salary increases, cross-training and incentives remain go-to responses. Responding to the survey findings, Considine says, “It's time to look at the many areas where automation – and even artificial intelligence – can stabilize, improve and optimize understaffed functions.” One use case for artificial intelligence is in claims management. Experian Health's AI Advantage™ solution uses historical and real-time claims data to identify claims that may be at risk of being denied. This allows staff to zero in on those claims and ensure all information is correct and complete before submission. It integrates seamlessly with ClaimSource® to augment the claims workflow, so staff can focus on claims and denials with the highest likelihood of payment. As well as alleviating pressure on staff, it reduces costs and maximizes reimbursements, helping providers to protect margins during uncertain times. See how AI Advantage helps healthcare organizations reduce and prevent claims denials. Prediction 2: “Patients' changing digital expectations will prompt more providers to adapt (and those that don't will risk losing market share)” Clarissa Riggins, Chief Product Officer, says that patients are increasingly likely to expect a better “digital front door” experience, and will start to look elsewhere care if they encounter too much friction: “Patients have increasingly high expectations for easy and efficient tech-enabled solutions when it comes to accessing healthcare services. They seek convenient self-scheduling options, accurate cost estimates, and the ability to pre-register through their smartphones. We're seeing a continuing trend in the number of patients who say they'd switch providers if the digital front door isn't open.” That healthcare trend was evident in Experian Health's State of Patient Access 2023 survey, which showed that 56% of patients who had seen a deterioration in the patient access experience would switch providers because of it. Demand for more digital options can be tracked back to the “Amazon effect” and the rise of online retail environments that give consumers convenience and choice at the tap of a button. Indeed, healthcare providers stepped up during the pandemic to deliver flexible, contactless care, so patients have seen that it's possible. With digital transactions now well-established, patients will find it surprising to be asked to fill out paper forms at the registration desk or have limited online payment options in 2024. Riggins says providers must update their technology or risk being left behind. “Clients who are making the switch to digital patient access offerings tell us they don't want to look stuck in the 90s. They want a more contemporary patient experience that's smoother and more efficient for both patients and staff.” To open the digital front door and kepe up with healthcare predictions in 2024, Riggins recommends prioritizing self-service and digital options for patient registration, scheduling and billing inquiries. Prediction #3: “More patients are struggling financially, so providers will need to do more – and sooner – to help them manage bills” Victoria Dames, Vice President of Product Management, says that with household finances under pressure, patients will remain anxious about the cost of care: “The earlier providers can give patients clarity, the better for all involved. Creating a convenient and transparent patient collections experience should begin during patient onboarding, so patients can start to plan. With integrated patient access software, providers can deliver a more compassionate and efficient collections process, which supports patients while accelerating the revenue cycle. They don't have to choose between prioritizing revenue and patient experience – patient access technology delivers on both.” Recent Experian data suggests that many Americans are not confident in their financial literacy. This does not bode well for their ability to navigate the increasingly complex processes involved in healthcare billing. The troubling health consequences are already evident: a 2023 Gallup poll revealed that record numbers of patients were putting off medical care because they were worried about the cost. Anything providers can do to simplify the payment process is going to improve access to care and minimize bad debt, as noted in Dames' healthcare predictions for 2024. Dames says the collections effort should be viewed as an ongoing interaction with patients, beginning in patient access: “Patient access is where providers begin collecting data, confirming insurance eligibility, and providing accurate patient estimates. Completing these actions successfully at the beginning of the patient journey, with compassionate and frictionless patient interactions, can facilitate payment and collections downstream.” A better financial experience in 2024 should include self-service and digital tools that guide patients through each step of their financial journey. For example, PatientSimple® gives patients a user-friendly, comprehensive way to generate price estimates, apply for charity care, set up payments plans and even make payments, all through a single web-based portal. Patient Payment Estimates deliver accurate pre-service cost estimates through the patient's preferred channels and point them toward any appropriate financial assistance. And of course, offering a wide range of convenient and flexible payment options will promote timely payments and maximize collections. Learn more about our revenue cycle management solutions or contact Experian Health today to discuss how we can support your strategies, based on our healthcare predictions for 2024.

100% isn't always a good thing. That's especially the case when 100% of healthcare providers agree that staffing shortages have impacted their revenue cycle management and patient engagement efforts. The pressure is on, especially as providers start to see the financial consequences impact their bottom lines. Experian Health's latest report, Short-staffed for the long term, takes a deeper-dive into the many ways staffing shortages have impacted healthcare providers and their organizations. This report, released in November 2023, surveyed 200 healthcare employees responsible for staffing the revenue cycle function. It takes a look at the causes of staffing shortages, the impact on different revenue cycle areas, and the ways technology can help. Take a look at some of the healthcare staffing shortage stats: Download the report, Short-staffed for the long term, or contact us to see how Experian Health can help your organization find some relief from staffing shortages.

“We wanted the right technology that could look for insurance coverage for self-pay patients without the need for us to increase our manpower. The cost savings were a big win for the department.” — Brent Rikhoff, Director of Pre-Access, UCHealth Challenge UCHealth is an integrated health system with a network of 12 hospitals and more than 30,000 employees. At the height of the COVID-19 pandemic, UCHealth maintained its commitment to an excellent patient experience by giving all patients access to tests and vaccinations. Costs for uninsured and self-pay patients could be recovered under the Health Resources and Services Administration's (HRSA) COVID-19 Uninsured Program (UIP), but only after confirming that the patient had no relevant active coverage. If they missed this step, UCHealth would be landed with bad debt, increasing collection costs and unwanted audits: they needed a reliable way to track and verify insurance coverage accurately and in real-time. Solution UCHealth chose to use Coverage Discovery® after experiencing positive results with Experian Health's Eligibility solution. Coverage Discovery allowed them to scan the entire revenue cycle for billable commercial and government coverage that patients may have been unaware of or forgotten about. The tool gave UCHealth access to Experian's proprietary databases, including employer group mapping and patient search history, so they could track and verify potential coverage in multiple locations. This made it much easier to find insurance information for plans without a self-pay search feature. After seeing positive results, UCHealth expanded their use of Coverage Discovery to self-pay and emergency department patients. This helped them root out discrepancies in patient accounts and prevent accounts from being misclassified as bad debt or charity. Uncovering additional active coverage was also a major benefit for patients. Discover the top 4 strategies to optimize patient collections while delivering a more compassionate financial experience for patients. Outcome Thanks to Coverage Discovery, UCHealth achieved the following results: Over $62 million in insurance payments in 2022, a 25% increase from 2021, includes payments from their top three payers $45 million in coverage found between May 2022 and May 2023 Over $3.5 million in collection costs savings in 2022 Overall, Coverage Discovery has helped UCHealth create a more streamlined approach to verification and billing. The batching feature made it easy for staff to process the backlog of patient accounts awaiting insurance verification, while access to large, current datasets facilitated more accurate billing. Director of Pre-Access at UCHealth, Brent Rikhoff, said the ability to integrate Coverage Discovery with Epic® enabled the team to achieve proper reimbursement for services rendered. Expanding the solution to include Medicaid coverage identification would be an obvious next step for UCHealth, following this impressive return on investment. Learn more about how Coverage Discovery identifies missing and forgotten billable coverage, so healthcare providers can get fully reimbursed while maintaining an outstanding patient experience.

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.

Prior authorizations ensure that patients only receive care that is medically necessary, evidence-based and cost-effective. The process is a built-in safety net to prevent over-prescription of drugs and services, avoid duplication of tests, and make sure that ongoing treatments are actually helping the patient. At least, that's the goal. Many providers and patients tell a different story. Too often these well-intentioned mechanisms morph into paper-based barriers to care that do more harm than good in the long term. According to the American Medical Association (AMA), nine out of ten physicians have seen prior authorizations have a negative impact on patient outcomes, while a third have seen authorizations lead to a serious adverse medical event. A major part of the problem is the growing administrative burden. Processing submissions manually is time-consuming and error-prone – and even more challenging in the context of staffing shortages. Automated prior authorizations can alleviate the pressure and help providers deliver care to the highest possible standards. How prior authorizations can obstruct patient access and treatment Health insurers demand that providers seek prior authorization for certain treatments and procedures before they will agree to cover the costs under the patient's plan. If the request does not meet the payer's specific rules and criteria, authorization will not be given, and financial responsibility will fall to the patient. If the patient can't pay, the unsettled sums will find their place in the accounts receivable ledger, eventually written off as bad debt. To avoid this scenario, patients and providers may decide against the proposed care plan. Findings in the AMA survey suggest that eight out of ten physicians had seen patients abandon treatment because of prior authorizations. Even where pre-authorizations are eventually approved, the lengthy administrative process to determine whether services and providers are covered can still delay treatment. Such delays cause the patient's medical situation to worsen, entailing more invasive and costly treatment later. This overutilization of services is clearly at odds with the stated purpose of prior authorizations and the 'triple aim' in healthcare. Manual prior authorizations exacerbate delays in patient care The problem is compounded by the fact that many providers rely on manual processes to manage prior authorizations. But with payer policies changing all the time, it's hard for providers to keep up and ensure submissions are accurate. Some procedures need to be approved under one health plan, but not under another, so it's easy for some to slip through unapproved and wreak havoc later. This is especially worrying for patients with more complex and chronic conditions, who require multiple services from multiple providers. Paper-based processes can be painfully slow, causing bottlenecks in patient care and errors that result in instant rejections when the submission is finally processed. There's an urgent need for a more efficient approach. Automated prior authorizations can reduce delays in patient care Recognizing the need for reform, in December 2022, the Centers for Medicare and Medicaid Services (CMS) proposed a new federal rule that would streamline the prior authorization process for Medicare Advantage plans, Medicaid and Children's Health Insurance Program managed care plans, and state and Marketplace coverage. If the rule comes into effect, it will require health plans to respond to urgent prior authorization requests within 72 hours, and to non-urgent requests within seven days. Affected payers would need to implement standardized interfaces and automations to improve data interoperability. Further information on this rule may is expected toward the end of 2023. Several states are making their own arrangements to regulate prior authorizations to help alleviate the administrative burden on providers, though these efforts have been described as a “mixed bag.” Ultimately, improving the prior authorization process comes down to making sure request documentation is filled out and submitted as accurately and as quickly as possible. The most effective way to do that is with the help of automated prior authorization software. Automated prior authorizations alleviate staffing challenges Providers are finding increasing value in prior authorization automations as they deal with ongoing staff shortages. In a staffing survey by Experian Health in August 2023, 37% of providers said their prior authorization processes were affected by staffing shortages. Neeraj Joshi, Director of Product Management at Experian Health, says that relying on manual processes in these circumstances is increasingly untenable: “For many providers, there simply aren't enough staff to manage the growing burden of prior authorizations. Remaining staff are stressed out, which unfortunately can lead to mistakes and bottlenecks. It creates a poor patient and staff experience. Automating prior authorizations eases the pressure by allowing more authorizations to be processed in less time and making it simpler for staff to track and follow-up inquiries. Not only does a faster approval process mean patients get care without delay, but it also reduces the risk of denied claims.” Read more about the key benefits of automating prior authorizations. How it works: key features of prior authorization software Experian Health's prior authorization solution, Authorizations, automates inquiries and submissions without user involvement. The software auto-fills payer data based on current requirements, guiding users to any tasks that need manual attention using an exceptions-based workflow. It proactively generates status updates so staff can see at a glance whether a request is pending, denied or authorized. These integrated automations increase operational efficiency by accelerating the authorizations process, minimizing unnecessary manual work, and reducing the risk of denials. Patients get the care they need, and providers get greater revenue cycle predictability. Overview of prior authorization platform features Authorizations accesses current prior authorization requirements in real-time using Knowledgebase, Experian Health's repository for national payer rules and criteria. Users can add local rules and updates as needed. Users are directed to the correct payer portal to make a submission for the procedure in question. Documents can be submitted to payers without electronic portals using integrated faxing. Automated inquiries give users an instant view of whether a submission is pending, denied or authorized. Dynamic work queues alert users to any tasks that need their attention. Authorization status, number and validity dates can automatically be posted back to health information and practice management systems. Images of payer responses can be stored securely using the integrated document imaging system. The software compares and reconciles authorized and delivered procedures. It flags any variances to staff can intervene to proactively prevent denials and appeals. Better communication will lead to better clinical outcomes Automations may not be able to resolve the conflicting perspectives of over-burdened providers and cost-conscious payers, but they can take the sting out of the administrative process. Prior authorization software smooths out the exchange of data so payers, providers and patients can communicate more effectively. With better communication, come better clinical outcomes – and that's in everyone's interests. A single-vendor solution extends this advantage internally, too. Integrating proven, cost-effective and compliant solutions with existing workflows can help front-end and back-office teams work together as efficiently possible. Experian Health's Authorizations solution integrates seamlessly with eCare NEXT®, leveraging automations in patient management and revenue cycle workflows, so providers can focus on their core competence: providing high-quality care to patients. Find out more about how Experian Health's automated prior authorizations help providers optimize patient care.

The complexities of healthcare claims management are a widespread, costly issue. While the American Medical Association (AMA) blames prior-authorizations as the main cause, it's clear that hospitals struggle to collect on predicted revenues often for months after they provide the service. It's not a sustainable situation as the costs of care delivery increase, staffing shortages drive up labor overhead, and inflationary pressures stretch healthcare providers to their breaking point. There is no question the claims denial process is ripe for innovation – and that's where artificial intelligence (AI) comes in. A 2022 Experian Health survey shows over one-half of healthcare providers increasingly turn to AI-driven healthcare claims management software to reduce claim denials. Tom Bonner, Principal Product Manager at Experian Health, says, “Adding AI in claims processing cuts denials significantly. AI automation quickly flags errors, allowing claims editing before payer submission. It's not science fiction – AI is the tool hospitals need for better healthcare claims denial prevention and management.” Common reasons for medical claim denials Revenue cycle leaders place healthcare claims management as their number one issue in 2023. Experian Health's survey showed the three most common reasons for medical claim denials were: Needs more data and analytics to identify submission issues. Manual claims processing and a lack of automation. Insufficient training for staff. The sheer volume of changes to CPT codes is another issue affecting HCM or healthcare claims management. Experian Health identified more than 100,000 payer policy changes from March 2020 to March 2022. These shifts necessitate a never-ending cyclic need to train new staff, increase the risk of claim rejections, and slow down manual workflows in healthcare claims denials management. How can healthcare providers improve claims processing and overcome these challenges? Real-life ROI with AI in claims processing AI in claims processing solves these and other common revenue cycle problems. This technology is the innovation healthcare providers need to reduce denials and increase cash flow. AI can help at every point in the revenue cycle continuum, from improving the accuracy of payer data upfront to ensuring a clean claim and even targeting denials that yield the highest return. What real-life lessons does AI in claims management teach healthcare providers? Experian Health's new AI-powered solution includes AI Advantage™ - Predictive Denials and AI Advantage™ - Denial Triage, which is geared towards helping healthcare organizations reduce claim denials. Within six months of using AI Advantage, Schneck Medical Center reduced denials by an average of 4.6% each month. Claim corrections that formerly took up to 15 minutes to correct cut to just under five minutes. Even smaller ambulatory clinics like Summit Medical Group Oregon benefit from automating healthcare claims management. After implementing Experian Health's claims management software, the provider saw an immediate reduction in claims denials. Today, they boast a 92 percent clean primary claims rate. These results are typical across healthcare organizations that implement AI in claims processing. But what does the software do to clean up the complexities of claims management processing? How to avoid claim denials with AI In 2022, Experian Health surveyed 200 revenue cycle leaders around the country and identified technology shortfalls as a significant contributor to claims denials: 62% reported they lacked the data analytics to identify submission issues. 61% said manual processes and a lack of automation were significant problems. 33% suggested their healthcare claims management software was outdated or inadequate. Healthcare claims management upgraded with the inception of AI-driven healthcare claims management software. The benefits of these tools lie in their ability to predict potential issues before they occur by analyzing claims and providing a probability of denial that allows the end user to intervene and determine the appropriate collection. AI can also assist in identifying inaccurate claims, improving claims processing accuracy and revenue cycle management. By using automation and AI together, healthcare providers can gain better insights into their claims and denial data, resulting in improved financial performance and greater efficiency. Tom Bonner says, “AI in claims processing maximizes the benefits of automation for better claims processing, better customer experiences, and a better bottom line for healthcare providers.” How does healthcare claims denial management software work to improve the revenue cycle? AI identifies and prioritizes high-value claims after denial AI in claims processing goes beyond automating process-driven manual tasks. It also removes the guesswork from healthcare claims management. For example, staff is often left guessing which denied claims are the low-hanging fruit that they should process first. Staff must decide which denied claims have a higher likelihood of reimbursement and a higher dollar value to maximize their efficiency. Why would healthcare providers leave these high-value/high-return claims to a manual “best guess” estimation process? Yet that is standard operating procedure in most hospitals. AI in claims processing identifies and prioritizes high-value claims automatically. Experian Health's AI Advantage - Denial Triage goes to work when a claim is denied by identifying and intelligently segmenting denials based on potential value so that staff focuses on resubmissions with the most significant bottom line impact. This intelligent segmentation removes the guesswork, alleviates staff burdens, and eliminates time spent on low-value denials. But the front-end work AI software completes during healthcare claims management may be even more valuable. AI can prevent claims denials from occurring at all. AI proactively stops claim denials from occurring AI Advantage - Predictive Denials uses AI to identify undocumented payer adjudication rules that may result in new denials. It identifies claims with a high likelihood of denial based on an organization's historical payment data and allows them to intervene before claim submission. Experian Health also has other automated solutions that help facilitate claims management. ClaimSource® helps providers manage the entire revenue cycle by creating custom work queues and automating reimbursement processing. This intelligent healthcare claims management software ensures clean claims before they're submitted, helping to optimize the revenue cycle. The software also generates accurate adjudication reports within 24 to 72 hours to speed reimbursement. ClaimSource ranked #1 in Best in KLAS 2023, precisely for its success in helping providers submit complete and accurate claims. This tool prevents errors and helps prepare claims for processing. Because the claims are error-free, providers can optimize the reimbursement processes and get their money even faster. AI optimizes the claims process Another Experian Health solution, Enhanced Claim Status improves cash flow by responding early and accurately to denied transactions. This solution uses RPA to give healthcare providers a leg up on denied, pending, return-to-provider, and zero-pay transactions. The benefits include: Provides information on exactly why the claim denied. Speeds up the denials process. Automates manual claims follow-ups. Integrates with HIS/PMS or ClaimSource Automation frees up staff to focus on more complex claims. Denials Workflow Manager integrates with the Enhanced Claim Status module to help eliminate manual processes, allowing providers to optimize claims submission and maximize cash flow. How to reduce claim denials with AI and Experian Health There's no question that healthcare claims denials management is an unwieldy, time-consuming, and ever-changing process. Reimbursement is complex on its own, but human error plays a large part in missed opportunities and lost revenue. With AI in healthcare claims management, the revenue cycle streamlines and transforms. Any healthcare provider seeking faster reimbursement and a better bottom line knows that improving claims management is critical to better cash flow. AI healthcare claims management software offers provider organizations a way to achieve these goals. Contact Experian Health today to reduce claim denials and improve your claims management process with AI Advantage.

As retail and technology companies make moves in healthcare, existing providers must find new ways to attract and retain patients. Offering personalized patient payment plans is one way to meet evolving consumer demands and hold on to the competitive edge. The best part of this strategy? Providers can use data they already hold to deliver convenient and compassionate collections. Digital disruptors are driving a consumer-centric approach to healthcare payments Having transformed consumer expectations over the last decade, digital technology giants – along with a new generation of start-ups – are now actively pursuing a share of the multi-billion-dollar US healthcare market. Concierge medicine, on-demand virtual health and other personalized services are solidifying consumer expectations of flexibility, convenience and control. While consumers have more choice, they're also paying more for healthcare. Inflation-weary consumers are apprehensive about rising costs, and many report frustrations with healthcare billing and payment processes. According to a 2022 Gallup poll, nearly four in ten patients postponed medical care because of cost concerns. This tension between demand for choice and concerns about affordability leaves the sector vulnerable to disruption by players that offer alternative payment models that make healthcare more affordable for consumers, while making it easier to pay for care. Creating a more consumer-friendly approach to patient collections is essential for profitability. 1 in 10 patients use payment plans to manage the cost of care Research by Experian Health and PYMNTs shows that patients welcome payment plans to spread out the cost of care. One in ten patients had used a payment plan to pay for their most recent doctor's visit. Nearly three in ten older patients used a payment plan after receiving an unexpected bill. Unsurprisingly, those on lower incomes were most likely to need payment plans. Experian Health's State of Patient Access survey 2023 emphasized patients' desire for more flexible and transparent payment options, including pre-service estimates, payment plans and digital payment methods. Providers see the benefits too: around two-thirds of providers said their organization understands patients' unique financial situations and offers payment plans and financial assistance where appropriate. Using data to tailor patient payment plans For payment plans to work effectively, personalization is non-negotiable. Too often, payment plans apply a generic “one size fits all” formula to patient accounts, regardless of payment history, financial situation or other key indicators of the patient's ability to pay. This runs the risk of delivering a poor consumer experience while doing little to reduce patient bad debt. With a data-driven approach, healthcare organizations can identify the optimal plan for each patient. For example, PatientSimple® uses Experian Health's proprietary data and analytics to assess each patient's propensity to pay and guide them to the most appropriate financial pathway. A self-service portal gives patients a convenient way to generate estimates and consider different pricing plans, so they can make a more informed and confident decision about how to pay their bills. It also supports staff to have more compassionate financial conversations with patients. Similarly, Patient Financial Advisor and Patient Estimates give patients upfront, accurate estimates of what they're likely to owe, drawing on current chargemaster lists, payer contracts and the patient's insurance data. Together with payment plans, these estimates help patients avoid unexpected bills, so they have a more positive payment experience and are less likely to miss payments. A third tactic is to make it as easy as possible for patients to pay. Self-service and contactless payment options remove friction from the payment process, so patients are more inclined to pay promptly where they can. The patient's account data can be securely auto-populated into payment tools so they can pay and go with minimal fuss. Stay ahead of competitors by creating patient-friendly experiences As healthcare evolves, healthcare organizations need to develop strategies to remain competitive while still delivering compassionate care. Personalized patient payment plans are one way to strike that balance. Not only do they give patients the flexibility and convenience they’re looking for, but providers can also use existing data to tailor plans that benefit both company and customers alike. Alex Harwitz, VP of Product, Digital Front Door, at Experian Health, says these tools can help providers stay competitive as patients are exposed to a growing range of consumer-friendly healthcare services: “The move towards more patient friendly online experiences is a catalyst for improved price transparency. The challenge for providers is to adapt to shifting consumer needs while managing their resources wisely. But there's a major opportunity for providers to use data they already hold to help patients figure out the best financial pathway. Putting patients first is a sure-fire strategy to see patient satisfaction and patient collections rise in parallel.” Find out how healthcare organizations can remain profitable in an increasingly competitive market with personalized patient payment plans and patient payment solutions.

With artificial intelligence (AI) continuing to dominate conversations among healthcare's strategic thinkers, it's clear that recent innovations in this field could herald a step-change in healthcare delivery. AI's ability to mimic human intelligence and machine learning (ML)'s capacity to learn from vast amounts of data means these technologies are fast becoming indispensable tools for healthcare leaders who want to optimize operations. Understanding how they work – and where to apply them for maximum impact – will be crucial to stay ahead of the competition as the revenue cycle landscape evolves. This article breaks down the what, why and how of AI technology in healthcare, and includes a look at Experian Health's new AI-based claims denial solution, AI Advantage™. Understanding machine learning and AI in healthcare The terms “machine learning” and “artificial intelligence” are often used indiscriminately, but what do they mean in a healthcare context? Generally speaking, AI is a machine's ability to perform cognitive functions that would normally be associated with humans, such as interacting with an environment, perceiving information, and solving problems. It can spot patterns, learn from experience and choose the right course of action to achieve a desired outcome. This includes natural language processing, robotics and machine learning. In healthcare, AI might be used to transform diagnosis through the analysis of medical images, expedite drug discovery by monitoring side effects, improve the safety and efficiency of surgery through robotics, and support patients to take ownership of their own health through health monitoring and wearables. Machine learning is a broad term that covers the processes used to extract meaning from (usually large) datasets to create and train a predictive model. It will look for historical patterns in input and output that a human eye might miss, and generate recommendations based on outcome parameters defined by the user. For example, it can look at patients' electronic health records to identify those who may be at risk of specific medical conditions so they can be offered appropriate advice. Another useful application is in predicting service demand, for more efficient appointment scheduling and resource allocation. Further subsets of machine learning include supervised learning, where training data is labelled with the desired outcomes that the algorithm should aim to detect, and unsupervised learning, which has no predefined targets and is useful for discovering patterns, insights and anomalies. Unlocking the AI Advantage™: how AI can reduce claim denials and improve financial performance The transformative potential of ML and AI technology in healthcare isn't limited to clinical decision-making and patient engagement: optimizing revenue cycle operations is a particularly attractive place to leverage the technology. It can be used to identify and reduce billing errors, enhance coding accuracy, and predict revenue leakage. This results in faster payments, better use of staff time and fewer claim denials. However, Experian Health's State of Claims 2022 survey revealed that while 51% of providers were using automation, only 11% of providers had integrated AI technology into their claims processes. Experian Health's new AI-based claims solution is specifically designed for those looking to take the next step to leverage AI to predict and prevent denials. AI Advantage takes a two-pronged approach to reduce the risk of denials and expedite any rework that may be needed. AI Advantage – Predictive Denials examines claims before they are submitted and calculates the probability of denial, based on thresholds set by the provider. It incorporates historical payment data and undocumented payer claim processing behavior to evaluate individual claims in real-time, with a level of speed and accuracy that would be unachievable using manual processes alone. High-risk claims can be edited before submission to reduce the risk of denial. AI Advantage – Denial Triage evaluates and segments denials based the likelihood of reimbursement following resubmission and prioritizes the work queue based on financial impact. It learns from payers' past decisions to formulate recommendations with increasing accuracy. This means staff can eliminate guesswork and focus their attention on the denials that will be most likely to yield results. See how Experian Health's AI-powered solution works to reduce and prevent denials. Challenges to watch out for when implementing AI While the benefits are clear, the rise of AI in healthcare applications also brings some challenges. Here are some key questions to consider for smooth implementation: How reliable is the data underpinning AI technology? AI tools are only as good as the data they're analyzing. Without high-quality, structured data, they will be unable to make accurate predictions. Providers need to ensure that data is available in a usable format and free from errors. Partnering with a reliable third-party vendor can help ensure all the relevant boxes are ticked. Does the technology integrate easily with existing workflows and software systems? Integrating new tools with the existing RCM infrastructure can be complex. Organizations often have legacy systems that may trigger interoperability issues, limiting effective data exchange and requiring staff to log in to multiple interfaces. A single vendor solution can mitigate for this. For example, AI Advantage fits together seamlessly with the industry-leading claims processing tool, ClaimSource®. Experian Health's consultancy team are also on hand to ensure smooth implementation. Does the software protect data privacy and security? Healthcare data is subject to multiple privacy and security regulations, such as HIPAA. Any new technology that processes data must comply with regulations and industry best practice. Being able to reassure patients that their data is safe is also an important driver of patient loyalty. What does the future hold for AI technology in healthcare? Looking ahead, the role of ML and AI in both patient-facing healthcare processes and revenue cycle operations is only going to grow. Predictive analytics will give staff increasingly powerful insights and recommendations to maximize reimbursement, while minimizing the burden on the workforce. Emerging technologies such as robotic process automation and natural language processing will offer more sophisticated and comprehensive workflow solutions, while AI's ability to continually learn and improve means providers that leverage AI will be better placed to make full use of their data and adapt to evolving trends and challenges. Discover how AI Advantage™ is helping Experian Health's clients transform their healthcare operations.