Tag: Revenue Cycle Management

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

Published: February 9, 2024 by Experian Health

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

Published: February 7, 2024 by Experian Health

Today, U.S. healthcare providers struggle with three significant challenges affecting care delivery—each resulting from chronic healthcare workforce shortages. Ultimately, these challenges threaten the fiscal health of the country's most critical care safety nets. Over 80% of the healthcare C-suite say the chronic staffing shortage creates significant risk for their organizations. The effects of healthcare staffing shortages are severe - Experian Health's recent survey of revenue cycle leaders found these executives unanimously agreed that staffing shortages impact cash flow, patient engagement, and the work environment of their current staff. Experian Health’s new survey, Short Staffed for the Long-Term, polled 200 revenue cycle employees to determine the effects of healthcare staffing shortages on patients, the workforce, and their facilities. What did these teams say about the healthcare workforce shortage and the state of care delivery? Find out by downloading the full report. Healthcare providers experience a vicious cycle, and the effects of healthcare staffing shortages can be seen in many different areas. For example, it makes it harder for existing team members to register patients on the front end of the encounter. On the back end, revenue cycle staff face higher workloads and stress leading to preventable reimbursement claims errors and missed collections opportunities. Ultimately, that stress leads to staff turnover, exacerbating the healthcare workforce shortage. This article dives into three effects of healthcare staffing shortages and how providers can combat them. Result 1: Short-staffed providers struggle with reimbursement and cash flow. 70% of respondents who say staff shortages affect payer reimbursement also report escalating denial rates. 83% report it's harder to follow up on late payments or help patients struggling to pay their bills. Costs are up, and cash flow is down. Claims denials are increasing by 15% annually. Reimbursement rates continue to decline even as denials rise and patient debt increases. These are the revenue cycle challenges healthcare providers face on top of the chronic healthcare staffing shortage. Healthcare organizations must look for new ways to improve reimbursements while engaging patients and staff to benefit everyone involved. Experian Health's Short Staffed for the Long-Term report noted two of the most significant revenue channels for healthcare providers, claims reimbursement and collections, are experiencing significant challenges. Reimbursement denials tie up cash flow in an endless cat-and-mouse game of revenue collection. HealthLeaders termed 2023 as, “the year of reducing denials for revenue cycle.” Their statistics further reinforce Experian Health data correlating increasing denial rates with the healthcare staffing shortage. Simultaneously, healthcare providers find it harder to collect from patients. High self-pay costs lead to lower patient collection rates. One study showed patient collections declining from 76% in 2020 to 55% in 2021. Providers desperately need a more patient-centered collections process that helps these customers understand their cost obligations and payment options. Integrating automated collections solutions can also help providers do more with less. Healthcare stakeholders must collaborate to devise innovative solutions that prioritize workforce augmentation and streamline financial workflows. Technology can solve these problems by automating manual revenue cycle processes that lead to delayed reimbursements. New solutions that use artificial intelligence (AI) software can help in other areas (like claims denials) to save staff time and reduce workloads. Result 2: A lack of staff directly impacts successful patient engagement. Surveyed staff say 55% of patients experience engagement issues at scheduling and intake. 40% say patient estimates suffer, leading to potential miscommunications in credit and collections. Experian Health's The State of Patient Access, 2023: The Digital Front Door reported patients and providers believe healthcare access is worsening. 87% of providers in the survey blamed the effects of healthcare staffing shortages. Earlier data from ECRI shows patients wait longer for care, and nearly 50% of providers say access is worse. Over 100 academic studies in the past two decades confirm the correlation between poor patient health outcomes and industry staff shortages. Existing staff members may take on heavier workloads to cover gaps in patient care. The resulting fatigue can impact the quality of care delivery. When healthcare organizations are short-staffed, each team member may spend less time with patients, resulting in rushed assessments and potentially missed diagnoses. Staff shortages can impact every phase of the patient journey, beginning with patient scheduling and potentially delayed essential medical services. On the backend, patients suffer when the pressure staff members feel to work faster causes preventable errors leading to healthcare claim denials. Collections suffer, as frustrations mount, and healthcare staff waste time on patients who are simply unable to pay. The adverse effects of staffing shortages in healthcare weaken with technology to improve the patient experience at every stage of their encounter. Better technology lessens the burden of care for staff by automating mundane administrative tasks so every provider can focus on serving patients—not filling out forms. Improving patient engagement starts at the beginning of the healthcare encounter. For example, patient scheduling software can create a seamless online experience that halves appointment booking time. More than 70% of patients say they prefer the control these self-scheduling portals offer, putting access to care back in their hands. Patient payment estimation software creates much-needed healthcare price transparency, improving satisfaction by eliminating financial surprises after treatment. These solutions, combined with automated revenue cycle management software, can streamline healthcare processes and improve patient experiences. Result 3: Overwork is the norm as staff work environments decline and turnover increases. 37% of survey respondents report issues with staff burnout. 29% list the departure of experienced staff as one of their top challenges. Whether in frontend care delivery or backend revenue cycle, overworked and stressed healthcare professionals are more susceptible to making mistakes, diminishing the overall quality of the patient experience. The attention to detail, a critical component in a complex, high-stakes business, may be compromised due to the strain on the existing staff. When a healthcare organization is short-staffed, it increases the stress on the existing employees. In turn, this contributes to higher turnover rates. Job dissatisfaction and increased stress levels create a challenging work environment, perpetuating the cycle of staffing shortages. Recruiting and training new staff to fill these gaps further exacerbate the strain on existing teams. One area that is critically impacted by staffing shortages is seen in claims management, as claim denials continue to increase, which cost American healthcare providers an estimated 2.5% of their gross revenues annually. Billions of reimbursement dollars logjam in the endless cycle of claims submissions, rejections, and manual mitigations. In 2022, the cost of denials management increased by 67%. Revenue cycle staff, stretched to their limits by staffing shortages, will likely continue to make preventable mistakes during patient intake and claims submission. However, automating claims management with a solution like ClaimSource® can help lower denial rates and ease this burden.  This solution delivers increased operational efficiencies and effectiveness by prioritizing claims, payments and denials so that users can work the highest impact accounts first. Other solutions, like Claim Scrubber, can improve claim accuracy before submission, by submitting clean and accurate claims every time. These technologies enable healthcare providers to reduce claims denials while relieving some of the terrible pressure felt by their financial teams to work harder and faster. By automating clean claims submissions, healthcare organizations free up their teams to focus on taking better care of patients—and themselves. Healthcare staffing shortages + manual revenue cycle = Unsustainability What happens to a process that heavily relies on human labor—when there aren’t enough people to go around? In the case of the healthcare revenue cycle, it means staffing shortages heavily impact a hospital's ability to collect revenue. Medical Economics reports that 78% of providers still conduct patient collections with traditional paper statements or other manual processes. In an era of talent shortages, these manual processes bog down the entire organization with no relief in sight. Overwork leads to burnout, a significant problem in the industry that also contributes to staff turnover. But this is exactly how digital technology can solve the healthcare staffing shortage. While AI and automation can’t help providers find the staff they need, it can eliminate manual tasks and reduce errors that lead to more work, staff burnout, and patient care disruption. McKinsey says automation can eliminate approximately half of the activities employees now perform. It could considerably improve the work environments for revenue cycle staff, allowing them to focus on high-value tasks, and engage patients in more caring and personalized experiences. Experian Health offers providers proven technologies to increase revenue, improve patient care, and lessen the strain on existing staff, to combat the effects of healthcare staffing shortages. Contact Experian Health today to get started.

Published: January 8, 2024 by Experian Health

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.

Published: December 18, 2023 by Experian Health

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.

Published: December 6, 2023 by Experian Health

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.

Published: December 4, 2023 by Experian Health

Is streamlining patient access with technology the key to improving revenue cycle management? Technology is already making intake, insurance verification, patient estimates, and other elements of patient access simpler. The same technology can also speed up and smooth out the healthcare revenue cycle: a goal many providers can get behind. Victoria Dames, Vice President of Product Management at Experian Health, says, "Patient access is the first step in simplifying healthcare and revenue cycle processes. Trading in manual processes and disjointed systems for integrated software solutions can reduce errors, improve efficiency, offer convenience and transparency to patients, and accelerate the healthcare revenue cycle. For providers trying to choose between prioritizing revenue and patient experience, patient access technology can deliver on both.” The digital transformation journey starts with patient access technology Starting at the beginning with patient access makes perfect sense for providers who want to embark on their digital transformation journey. The early touchpoints in the patient experience, like patient intake and scheduling, not only set the tone but also lay the foundation for successful claims and collections in the future. Patient access technology can help streamline patient access processes, making it easier for patients to receive accurate cost estimates, understand insurance eligibility and coverage, and work out payment strategies. Integrated patient access solutions—including automated registration and financial clearance with eCareNext®, and accurate patient estimates and mobile payment options with Patient Financial Advisor —deliver convenience to the patient while requiring less manual work and reducing data errors that can cause problems with billing and collections. Dames says, "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 can facilitate payment and collections downstream. As providers continue their digital transformation journeys, improvements made in patient access enable further improvements in later stages of the revenue cycle: collections, claims management, and payer contracts.” Streamlining patient access affects revenue cycle management Efficiency in patient access has a direct impact on revenue cycle management. Here are three key areas where streamlining patient access can bring real improvements: Efficient revenue management begins with good data Up to 50% of denied claims originate in patient access. Manual intake processes are time-consuming for staff and carry the risk of human error. Staffing shortages put increased demands on workers, leading to an even larger potential for problems. To add to the mix, patients may be increasingly likely to have incorrect information. Medicaid redetermination following the end of the COVID-19 pandemic is ending coverage—and creating confusion—for millions of patients. Job and coverage changes can translate to confusion over coverage and eligibility. “Automation virtually eliminates human error, so providers get accurate patient information and standardized data they can use throughout an integrated revenue cycle,” says Dames. Nearly 90% of patients want an accurate estimate; only 29% get one Experian Health's 2023 State of Patient Access survey found that nearly 90% of patients want an accurate pre-treatment estimate, but less than a third receive one. Although estimates are a requirement under price transparency laws, delivering an accurate estimate is difficult without the help of automated systems. Dames says, “Patients are anxious about the cost of care, and they can't estimate their own out-of-pocket costs. Accurate, transparent pre-treatment estimates are an important tool for building trust with patients. When providers offer real-time insurance verification and coverage information, they proactively help patients understand their own financial obligations. From there, providers can collect copays at the point of service and suggest options like payment plans or charity care, if appropriate.” Automated processes and tools like Patient Estimates improve staff productivity and speed up collections. As staffing shortages continue, streamlining back-office tasks improves efficiency and reduces frustration. Valuable staff members have more time to do the complex human work of talking with patients and solving problems. Real-world success story: Blessing Health Systems oversees two hospitals, a college of nursing, and a charitable foundation with nearly 3,000 total employees. Like many healthcare providers, Blessing faced challenges, including registration errors, inaccurate patient estimates, and collection difficulties. Blessing implemented an integrated suite of solutions including eCareNext®, Patient Estimates, Patient Self Service, Patient Statements, Payer Alerts, PaymentSafe®, Registration QA, and several financial clearance products. The results: Point of service collections increased by more than 80%. Clean claim rate increased from 63% to 90%. Denials decreased by 27%. Gross A/R decreased by an average of 28 days. “[Blessing now has the tools needed] to be successful in one, user friendly application,” says Jill Stroot, Director of Patient Access at Blessing. An integrated patient access solution allows Blessing to capture and verify important insurance information and catch registration errors in real time, resulting in less manual work, less rework, and a faster, better revenue management process overall. Best practices for implementing patient access technology Most providers are looking to improve and accelerate the revenue cycle. Many, too, are looking toward digital transformation as a long-term goal. But that means many are balancing the need for system-wide transformation against current realities. Incremental change allows providers to advance the ball now while preparing for further opportunities in the future. While providers weigh their options, here are a few best practices to help guide their thinking. Prioritize If doing everything at once isn't possible, providers can start with the processes that will have the greatest impact. Identify areas of greatest need. Look for the greatest ROI. Find quick wins that can be implemented with little change or investment. Choose solutions that integrate now Blessing Health Systems chose Experian Health solutions in part for their easy integration with Cerner. Finding solutions that integrate with existing systems is critical. Ultimately, solutions should also integrate throughout the healthcare revenue cycle. Choose a partner for the long haul Finding a technology partner that offers a full range of revenue cycle solutions—extending beyond patient access—helps ensure providers can continue their digital transformation journeys. Technology isn't the only factor to consider: Support and consultation along the way can help providers make the right decisions and maximize the value of new solutions as they're added. How to improve the healthcare revenue cycle Recent years have brought many new challenges to the healthcare space, but also new technology that can smooth out kinks in the revenue cycle. Providers that leverage patient access technology to deliver convenience and transparency to patients, and greater efficiency and cost savings internally, can look forward to better revenue cycle management while laying the groundwork for continued evolution. Learn more about how Experian Health's integrated suite of solutions can help with streamlining patient access.

Published: October 4, 2023 by Experian Health

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

Published: August 16, 2023 by Experian Health

Healthcare is undergoing a digital revolution driven by artificial intelligence (AI) and machine learning (ML) technology. While some organizations have been slow to adapt, others incorporated new solutions that have helped their organization identify patterns, reduce claim denials, and more. This infographic breaks down common phrases related to artificial intelligence and machine learning so that healthcare organizations can understand what they mean and how they're utilized. Introducing: AI Advantage™ Experian Health is the top-performing claims management vendor, according to the 2023 Best in KLAS: Software and Professional Services report. Experian Health’s ClaimSource® solution, an automated, scalable claims management system designed to prevent claim denials, ranked number one in the Claims Management and Clearinghouse category. With denials and staffing shortages on the rise, an efficient claims management strategy is essential. Experian Health is here to help with AI Advantage™ – a new solution that utilizes true artificial intelligence that proactively helps reduce denials and, when necessary, identifies the best denials to resubmit.

Published: February 28, 2023 by Experian Health

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