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.

Staffing shortages are the new normal in healthcare. Most news headlines focus on gaps between the supply of providers and the growing demand for care. However, a recent survey by Experian Health, released in November 2023. shows the massive impact staffing shortages have on back office revenue cycle where these functions intersect with front-of-house patient engagement. Strikingly, the healthcare staffing shortage statistics in the survey show revenue cycle executives are 100% in agreement—staffing shortages significantly affect reimbursement workflows to the detriment of patients and healthcare employees. Experian Health's report, Short-staffed for the long term, surveyed 200 healthcare executives responsible for revenue cycle functions. The goal was to gauge the impact of worker shortages on revenue cycle management and patient engagement. While the pandemic brought these shortages into the public purview, this new data shows most providers believe healthcare staffing gaps are chronic and here to stay. These results reinforce The State of Patient Access 2023 survey, where 87% of providers blamed staffing shortages for declining access to care. As the healthcare industry continues to struggle with an ever-increasing staffing shortage, it has become increasingly evident that if left unresolved, this situation can wreak havoc on revenue cycle management (RCM). The latest survey illustrates the need for new strategies to alleviate healthcare worker shortfalls. This article explores the most recent healthcare staffing shortage statistics and some key findings from the study to help determine how healthcare providers can turn these challenges into opportunities. Experian Health surveyed 200 revenue cycle executives to determine the impact of staffing shortages on reimbursement and patient engagement. Download the report to get the full results. Finding 1: Most revenue cycle leaders believe staffing shortfalls negatively affect payer reimbursements and collections. 96% of survey respondents indicated a lack of qualified workers has a detrimental impact on organizational revenue channels. 80% say turnover in their department ranges from 11 to 40%, much higher than the national average of 3.8%. When healthcare organizations lack revenue cycle talent, they risk missing performance goals. High turnover and the departure of experienced staff create information deserts within healthcare organizations. It forces new team members to train faster, handle bigger caseloads before they're ready, and potentially burnout from stress. The pressure to do more faster creates a higher volume of preventable claims errors that lead to denials. The survey showed all these factors at play, and their negative impact on reimbursement, collections, and the patient experience. While the traditional way to alleviate staffing shortages is to increase recruiting and retention efforts, these approaches no longer work when there simply isn't enough available staff to hire and train. Healthcare organizations must consider new partnerships with technology providers who offer automation tools to streamline human workflows. Revenue cycle management software eliminates repetitive tasks and lessens errors that lead to rejected claims. Digital technology can help solve labor shortages by reducing staff workloads and improving operational performance. Automation can streamline collections by prioritizing the accounts most likely to pay. These tools help existing revenue cycle teams work more efficiently while enhancing patient encounters. Finding 2: Healthcare staffing shortages roadblock a positive patient experience. 8 of 10 survey respondents say patient experience suffers due to gaps in staffing coverage. 55% report the patient experience is most heavily affected at intake, and 50% say at appointment scheduling. Staffing shortages and turnover cause an undue burden on the healthcare workers left behind. The survey asked respondents to indicate the top pain points experienced by revenue cycle professionals, and one of the major challenges was staff burnout. Stress has a detrimental effect on patient interactions throughout the revenue cycle. The survey shows staffing shortages impede patient satisfaction in critical areas within revenue cycle functions, including: Scheduling appointments Patient registration Prior authorization Insurance coverage confirmation Patient estimates Revenue cycle interactions can be delicate, requiring extreme patience and clear communication. Healthcare organizations must provide the support their revenue cycle teams need to handle these crucial conversations appropriately. To improve the patient experience, organizations must first improve the workflows and workloads of these critical back-office teams. When healthcare organizations have the right tools to eliminate manual tasks that bog down revenue cycle staff, these professionals can spend more time on the compassionate handling of patients and their accounts. Providers have the opportunity to solve these challenges with digital patient engagement solutions that improve workflow efficiencies at every level of the revenue cycle. Patient scheduling software creates a self-service environment that 73% of healthcare customers prefer. Patient intake improves with online software that automates the tedious paperwork that tie up staff. Better technology can create price transparency without manual effort, ensuring patients understand their responsibilities up front instead of facing surprises during or after care delivery. Finally, a frictionless online payment platform allows patients to handle their obligations seamlessly without staff intervention. Finding 3: Errors arise when healthcare providers are short staffed, leading to claims denials. 70% of survey respondents say staff shortages exacerbate denial rates. 92% of survey respondents said new staff members make errors that negatively impact claims processing. Some of the most common reasons for healthcare claim denials include: Incomplete collection of claims data Coding errors Billing errors Eligibility verification errors Missed insurance verification Healthcare operations and revenue cycles are full of manual processes. RevCycleIntelligence reports one-third of prior authorizations are completed manually, and two-thirds of hospitals haven't automated any part of their denials management processes. Yet technology has made significant strides toward reducing these error-prone manual tasks. Leveraging artificial intelligence (AI), with solutions like AI Advantage™, within the complexities of claims processing could cut provider spending by up to 10% annually. Eliminating repetitive tasks with automated claims management solutions improves the lives of staff, cuts manual errors that tie up cash flow in reimbursement wrangling, and creates a better, less stressful environment for customers. Reducing the impact of healthcare staffing shortages with revenue cycle automation and technology Sometimes, 100% agreement isn't the desired outcome. In this case, the healthcare staffing shortage statistics found in the survey shows healthcare providers agree unanimously that chronic staffing shortages create a problematic environment for employees that costs revenue and patient engagement. While technology exists that can maximize revenue staff workflows to extend the reach of overburdened employees; survey participants suggest that healthcare organizations continue to approach solving these issues by adding staff.  But healthcare's staffing challenges are not new. While organizations have historically invested revenue in higher salaries and sign-on bonuses to attract staff, technology offers a new opportunity for history to avoid repeating itself. It's time for healthcare organizations to support their teams with automation. These tools alleviate mundane, error-prone tasks that tie up staff. Experian Health offers these organizations a way to improve the lives of everyone within the revenue cycle by allowing back and front-office teams to focus on patient care, rather than filling in forms. It's a more humane way to handle a very human staffing crisis. Download the survey or connect with an Experian Health expert today to learn how we can help your healthcare organization combat staffing shortages.

Hospital admissions for COVID-19 increased by almost 92% between the last week in July 2023 and the last week in August 2023, according to figures published by the Centers for Disease Control and Prevention (CDC). It is worth noting that this time last year, the numbers were double what they are now. However, it is important to acknowledge that the virus is still evolving. Demand for services may be unpredictable over the coming months, so providers will need to position their teams to adapt to changing patient volumes and staff absences. Additionally, seasonal flu vaccination programs are underway, putting extra pressure on patient access. Now is the perfect opportunity for healthcare providers to reassess and streamline patient intake processses. This article looks specifically at how online scheduling for patients can help providers prepare for the unexpected this fall. Rethinking patient intake Online scheduling helps providers create a more efficient patient access experience by allowing patients to schedule appointments from home, instead of by phone or in person. It's more convenient for patients, limits exposure to infection and reduces the administrative burden on front office staff. Understandably, some providers without online scheduling software in place may worry about implementing new tools during the busiest time of year. They may see it as a “nice to have” to deploy when demand is more stable. But this is a false economy: any time saved by postponing the switch to online scheduling will be lost to costly inefficiencies over the hectic winter period. It's crucial to start the process now, before the stress hits. In a 2022 evaluation of self-scheduling processes at the Mayo Clinic, the authors describe themselves as “fortunate to have the self-triage and self-schedule process in place during the unanticipated surge of COVID variant omicron in the winter of 2021-2022.” The organization saw utilization of self-scheduling for COVID-19 tests increase from 4% of appointments booked in December 2020 to 44% in January 2022, saving thousands of hours of staff time, reducing no-shows and streamlining the patient experience. Get more benefits from online scheduling with a tailored approach Switching to online scheduling doesn't have to be complicated. To simplify implementation, providers should focus on how online scheduling can support their organization's specific operational challenges and goals. Choosing a solution that integrates with existing practice management and hospital information systems will also ensure implementation is as frictionless as possible. Here are a few examples of ways to maximize the benefits of online scheduling for their organization: 1. Create screening questionnaires to manage demand Screening questionnaires can be given to patients as soon as the log in to book appointments for specific services. Their answers can then be used to determine the appropriate appointment type and guide patients to their next step quickly and efficiently. Clinical needs, billing requirements, and patient preferences (such as the need for an accessible location or interpreter), can all be managed automatically.It's an effective strategy to manage demand for high throughput and routine services that are less likely to need staff assessment, such as COVID-19 testing or flu vaccinations. In the Mayo Clinic example, self-scheduling took just 3.1 minutes for asymptomatic patients, increasing to just 5.8 minutes for symptomatic patients who self-triaged with a screening questionnaire. 2. Use guided search to direct patients to virtual services Online scheduling can also guide patients to appropriate and convenient services they may not otherwise have considered, such as virtual care. Virtual care proved its value at the height of the pandemic, and while utilization has levelled off, providers should not see this as a lack of appetite for digitally-enabled care among patients. In Experian Health's State of Patient Access survey 2023, 56% of patients said they wanted more digital options for managing healthcare. Respondents (particularly younger patients) listed mobile scheduling for telehealth appointments among their expectations of the digital front door.The recent explosion in digital health companies offering at-home care solutions also speaks to patient demand for virtual services. Established providers should look to expand and promote their digital offerings, or risk losing their competitive edge. Leveraging the incumbent advantage is a move to make now, while new players are still finding their feet. One effective method to achieve this is by directing patients to existing virtual services through an online scheduling platform. 3. Eliminate walk-in traffic at urgent care centers Urgent care centers are the 'doctor of choice' for many patients, with patient volumes increasing by 60% since 2019, according to the Urgent Care Association. If COVID-19 and seasonal flu cases collide over the winter, urgent care centers may become overwhelmed by patients with both infections. Urgent care center managers may want to consider switching to an appointment-only system, where appointments must be scheduled online or by phone. This helps reduce the number of in-person visits and walk-in traffic, which will not only help prevent spread of infection, but also contribute to a better patient experience.Online self-scheduling also eases pressure on urgent care centers in another important way. Allowing patients to book their own appointments reduces the risk of cancellations and no-shows. This proactive approach prevents delays in care, effectively bridging gaps that can potentially escalate into costlier and riskier emergency situations. 4. Extend staffing capacity with real-time resource allocation Experian Health's data shows that between June 2022 and June 2023, providers that used Patient Schedule saw an average of 40% of patients book appointments after hours, saving hours of administrative time. Efficiencies on this scale will be invaluable, should COVID-19 or seasonal flu cases trigger a rise in patient volumes and staff absences.Patient Schedule automatically optimizes patient and provider capacity in real-time. Scheduling rules based on providers' calendars, appointment types and business needs are built into the platform, so that patients only see the available appointments based on those rules. The tool gathers calendar inventory from across multiple providers for a comprehensive view of network capacity, to make even better use of available staff time. The calendar inventory can cover an entire care team, such as a physician, physician assistant and nurse practitioners. This frees up staff to focus on other administrative tasks and assist patients with additional needs. Get ahead of winter pressure points with online self-scheduling These are just a few examples of how providers can use online patient scheduling to zero in on their own operational priorities, make life easier for schedulers and patients, and ease pressure on services over the coming months. Contact Experian Health today to explore self-scheduling options and immediately boost your service capacity.

The phrase “it's complicated” resonates well in the realm of prior authorizations in healthcare. Initially devised as a cost control strategy by insurance payers, the concept of prior authorization holds merit. However, the reality unfolds as a different tale, with 94% of doctors attributing care delays and diminished clinical outcomes to prior authorization hurdles. Furthermore, one in three doctors  connect these authorizations to escalated healthcare resource utilization, manifested through patient hospitalizations and life-threatening clinical events. There is a shimmer of hope as some insurers are retracting prior authorization prerequisites for certain conditions and procedures. However, this move might produce more complexities, given the distinct protocols of each payer. The traditional manual handling of prior authorizations by most providers leaves ample room for errors amidst these changes. A viable solution lies in leveraging technology. Experian Health's electronic prior authorization software can expedite and streamline pre-certification workflows, keeping providers updated with the ever-evolving payer requirements. What are prior authorizations?  Prior authorization—sometimes called precertification or prior approval—is a health plan cost-control process by which physicians and other health care providers must obtain advance approval from a health plan before a specific service is delivered to the patient to qualify for payment coverage. This process can be time-consuming, burdensome, and can lead to delays in patient care. Kaiser Family Foundation (KFF) says, “Prior authorization, or pre-certification, emerged decades ago to deter physicians from prescribing costly tests or procedures unjustifiably, aiming at delivering cost-effective care.” Initially, the focus was on high-cost care like chronic condition treatments. However, the spectrum has broadened, encompassing mundane clinical encounters like basic imaging or medication refills. Since 2020, a whopping 80% of providers have witnessed a surge in prior authorization volumes, stirring discussions on their necessity. The American Medical Association (AMA) critiques the overuse of prior authorization, emphasizing the administrative and clinical issues it spawns. The lack of uniform documentation requirements across payers often culminates in unwarranted care denials and treatment delays. The administrative overhead is hefty; an average doctor processes 45 pre-authorizations weekly, a task primarily manual, time-consuming, and error prone. Some insurers lifting prior authorization requirements  The scrutiny over the years has prompted some payers to relax prior authorization mandates:  UnitedHealth is reducing nearly 20% of their prior authorization requisites for a variety of treatments from spine surgery and breast reconstruction to outpatient therapies and durable medical equipment Humana has eliminated prior authorizations for cataract surgery for Georgia Medicare Advantage beneficiaries.  Following suit, Aetna has waived pre-certification for certain cataract surgeries, albeit excluding Medicare Advantage beneficiaries in Georgia and Florida. They have also ceased prior authorization for physical therapy in five states. Currently, 30 state bills aiming to rectify the prior authorization problem are in the pipeline. Washington is on the verge of introducing new mandates for both private and public payers. However, the diverse new rules from payers and legislative attempts to address the issue might create new challenges.  How to keep track of prior authorization changes  The traditional reliance on manual paperwork for prior authorizations remains predominant. Over half of the providers find the process daunting to organize and maintain. Experian Health's electronic prior authorization solution stands to help automate this process, enhancing operational efficiency and curbing costly denials. The solution auto-updates with the latest payer rules, offering real-time tracking of authorization status and allowing manual look-up by CPT code or service description. This significantly reduces the time spent hunting for updated information. Furthermore, the software can add actionable alerts, creating flags when payers change their requirements. For example, the Prior Authorization Knowledgebase, a proprietary repository for more than 160 national payers and their pre-certification rules, allows quick check functionality to see if a procedure requires appropriate use criteria adherence. Users can create service work queues when CMS requires adherence to Appropriate Use Criteria (AUC). Two supporting tools to aid these processes include the Medical Necessity tool, which validates clinical orders against CMS and private payer rules for fewer denials, and Claims Scrubber, which helps healthcare organizations prevent denials by improving claims accuracy.  Neeraj Joshi, Director of Product Management, at Experian Health, says, “Technology has the potential to significantly reduce the need for pre-authorization in healthcare by improving efficiency, streamlining processes, and enhancing decision-making. Automating prior authorizations eliminates the burden of tracking these constantly changing requirements. Following these changes by hand, scrolling back and forth between websites, then manually adding them to a rules list leaves room for error that no one can afford.”   Using technology to streamline prior authorizations Today, a mere 21% of providers have adopted electronic prior authorization software. The Council for Affordable Quality Healthcare (CAQH) projects that automation of service preapproval could slash healthcare's administrative encumbrances by $437 million annually. More crucially, it would expedite patient decision timelines and care delivery. The impact on patient outcomes could be significantly positive over time. The utilization of electronic prior authorization software promises to alleviate the anxiety doctors and patients endure while awaiting treatment approval. The AMA reports that 8 in 10 doctors acknowledge patient experience unwarranted care delays, sometimes leading to treatment abandonment due to prolonged prior authorization procedures. The technology to expedite prior authorizations is at our disposal, and progressively, healthcare organizations are transitioning towards it, mending the broken pieces of care delivery and reimbursement. Joshi says, “While technology can reduce the need for pre-authorization in healthcare, it's essential to strike a balance between ensuring the appropriate use of medical services and avoiding unnecessary delays in patient care. Healthcare providers can use technology to design more efficient workflows that minimize administrative burdens. For example, automating data entry and documentation can free up healthcare staff to focus on patient care. We have the tools available that can speed up these processes.”   Today, better health requires reducing the complexities of the healthcare paradigm. Experian Health offers provider organizations improved options for delivering care with robust technological solutions that improve the lives of clinicians, staff, and patients. We specialize in offering digital tools to improve every stage of the patient journey. Contact Experian Health today to improve your pre-approval processes with electronic prior authorization software.