Tag: Data and Analytics
According to a new report by the American Hospital Association, administrative costs now make up over 40% of total hospital expenses. Hospitals and health systems spend around $40 billion annually on billing and collections alone. For revenue cycle managers, the pressure is building as administrative tasks like insurance eligibility verification, claims management and payment processing overwhelm their teams and drain budgets. However, a sizeable chunk of these costs—perhaps as much as $18.3 billion—could remain in hospitals' hands if certain administrative tasks were automated. Automating key revenue cycle management (RCM) workflows improves efficiency, accuracy and cash flow, while easing staff stress and expediting patient care. Could it be the secret weapon to alleviating administrative burdens? This article looks at the issues in further detail, and explores 5 use cases that show how automation can reduce administrative costs in healthcare. Understanding administrative costs in healthcare Spending on healthcare administration in the U.S. has risen from $654 per person in 2013 to $925 in 2021. Administrative costs cover the resources needed to manage the non-clinical aspects of care. These resource requirements are immense in a complex system with multiple payers, fragmented data systems and growing regulatory demands. Add persistent staffing shortages and increasing patient volumes to the mix, and it's easy to see how costs spiral out of control – especially when relying on inefficient systems. The billions of dollars and hours of staff time consumed by administrative tasks make it clear that resources are not being used most effectively. This is where automation can make a difference. The role of automation in healthcare Automation reduces human errors, speeds up workflows and accelerates cash flow. It frees up time, money and headspace to optimize services and improve patient experiences. It's no wonder it's gaining traction in revenue cycle management. However, many providers are not fully capitalizing on automation's potential: Experian Health's latest State of Claims 2024 report shows that fewer healthcare administrators feel their organization's technology is sufficient to meet RCM demands compared to two years ago. How can they tap into the benefits of automation to reduce administrative costs? Benefits of automation and how it can reduce administrative costs in healthcare Automating healthcare administration is about doing more – and better – with less. Some of the benefits include: Fewer errors in billing, coding and claims management. Fewer mistakes mean fewer denials, which translates to faster payments and less rework. Reducing time to get paid, as automated processes speed up claim submissions, insurance verification and payment collections. Cash flow improves and staff spend less time chasing payments. Alleviating staffing shortages, as automation takes care of repetitive tasks like data entry, payment reminders and reporting. Management can reduce the burden on overworked staff and curb training costs, while teams can focus on “value-added” work. Improving efficiency in every corner of the revenue cycle. Automating routine tasks makes the entire billing and revenue cycle process more efficient, allowing teams to handle more work in less time without increasing headcount. Happier patients (and a better-looking bottom line). Automation makes it easier for patients to understand their bills, set up payment plans and pay their balances online. Satisfied patients are more likely to pay on time, reducing the cost of chasing overdue payments. Implementing automation in healthcare When it comes to reducing administrative costs, selecting the right parts of the workflow to automate is key. Here are five possible use cases to consider: 1. Streamline insurance eligibility checks “Checking if my insurance was accepted was a fast and friendly process. The staff even helped clarify which insurance was the right one for me since I had multiple cards.” This is what one patient at Providence Health said, after the health system switched to automated insurance eligibility verification. Insurance Eligibility Verification connects to over 900 payers and automatically checks patients' coverage and plan-specific benefits information in real-time. This reduces the manual effort required by staff and prevents the delays and denials that lead to additional administrative costs. As the patient notes, it means patients get early clarity about how their care will be funded, so there are no surprises later. Read the case study: How Providence Health found $30M in coverage and reduced denials with automated eligibility checks. 2. Automate claims submission More than half of healthcare administrators say that claims errors are increasing. A quick win would be to use automation to pre-fill patient data and avoid the inconsistencies and typos that occur with manual input. A more significant gain could come from combining multiple automations to populate, check and track claims submissions. Tools like ClaimSource® can automate the entire claims cycle in a single application. Indiana University Health (IU) utilized ClaimSource to process $632 million in claims transmissions in just one week, after a halt to their operations. Summit Medical Group paired Claim Scrubber with Enhanced Claims Status to improve claims submission. Claim Scrubber ensures all claims are complete and accurate before being sent to the payer, and generates alerts so staff can intervene quickly if an error pops up. Enhanced Claim Status automatically pings payers for status requests so staff can spend less time seeking updates and accelerate follow-up activities. With this approach, Summit boosted their first-time pass-through rate to 92% and reduced accounts receivable days by 15%. Experian Health was client-rated #1 by Black Book™ ’24 in Denial & Claims Management Outsourcing, Health Systems. Learn more 3. Improve denial management Denials remain one of the biggest pain points for providers. Payers are miles ahead in their use of automation and artificial intelligence (AI), using sophisticated machine learning tools to process and deny claims at scale. Experian Health's flagship AI-powered denial management solution, AI AdvantageTM, can help close the gap. This tool “learns” from an organization's historical claims data and trends in payer behavior to predict the probability of denial. It also identifies and segments denials so staff can prioritize those with the highest chance of being reimbursed, reducing the time and cost of manual appeals and rework. 4. Accelerate patient payments On the patient side, automation can be deployed to send patients reminders about outstanding balances, set up payment plans and process payments quickly and securely. Simplifying patient billing makes it easier for patients to pay, which increases collections rates while reducing the need for follow-up calls. Read more: 5 ways patient payment software improves patient satisfaction 5. Generate better financial reports Another smart use case for automation is generating real-time revenue cycle performance reports. With advanced data and analytics, staff no longer need to spend hours compiling information, while managers get faster, reliable information to inform strategic decisions. Experian Health's healthcare data analytics turns raw data into business-ready information to find potential sources of revenue leakage and boost financial performance. The future of healthcare automation Automation is already helping reduce administrative costs in healthcare by relieving staff of the tedious, time-consuming, repetitive tasks that drain time and money. However, many still rely on old data systems that don't work well together, leaving revenue opportunities slipping between the cracks. Choosing solutions that improve integration and interoperability will continue improving data-sharing between platforms and services, further reducing errors and delays. Looking ahead, automation and AI will play an increasingly major role in handling complex tasks in revenue cycle management. RCM leaders will find even more opportunities to minimize manual intervention and lower administrative overheads as these tools evolve. Learn more about how Experian Health's automated Revenue Cycle Management solutions help reduce administrative costs in healthcare and create more resilient revenue cycles. Learn more Contact us
Many healthcare providers believe pairing “revenue cycle” with a qualifier like “predictable” is an oxymoron. From healthcare staffing shortages that slow down reimbursement tasks to increasing payer denials, financial regularity can seem like an unattainable goal for these organizations. The American Hospital Association (AHA) reports over one-half of U.S. hospitals had financial losses in 2022. Another AHA survey shows that 84% of these organizations say the cost of complying with complicated payer policies is climbing. Providers throw an excessive amount of time and staff at chasing revenue, but reimbursement complexities make for anything but smooth financial sailing. How can healthcare providers even out the ebbs and flows of the revenue cycle? Experian Health's suite of revenue cycle management (RCM) solutions can help. Revenue cycle predictability during the life of a claim When it comes to finances, U.S. healthcare providers rarely have an easy go of it. Today, the average life of a claim is anything but average. From registration to collections, hospitals established a new normal over the past decade: Widening gaps between service delivery and reimbursement. How can providers tackle this untenable situation? The answer is two-fold: with technology and at each stage of the life of a claim. Here are three ways healthcare providers can use technology to create reimbursement predictability at each stage of a claim's life. 1. Establish payment accountability at patient registration with price transparency Reimbursement problems begin at patient registration. Healthcare price transparency demands patients understand the cost of care. According to Experian Health's State of Patient Access survey, 81% of patients agreed that an accurate estimate helps them better prepare to pay for their care costs. However, only 31% of patients received a cost estimate before care. There are three significant impacts of this troubling trend: Nearly 40% of patients say they put off needed care due to cost. The number rises to 61% if the patient is uninsured. Patients can't afford to pay for needed care. Currently, 41% of U.S. adults have medical debt. An Experian Health study showed four in 10 patients spend more than they can afford on healthcare treatment. Uncompensated care causes a significant drop in healthcare provider income, which has amounted to almost $745 billion, according to the AHA. Experian Health offers several data-driven solutions to improve price transparency. These tools make it easier for patients to handle their financial responsibilities while helping providers find solutions to help ease their burdens.Patient Financial Advisor creates more accurate service estimates for patients before their procedure. The mobile-first platform offers patients a detailed cost breakdown on their preferred digital device. Patient Estimates is a web-based platform offering real-time service estimates. Blessing Health System uses the tool to provide patient estimates that are up to 90% accurate. The provider increased collections by 58% and credits the software with a 1,200% return on their investment. Patient Access Curator automatically initiates communication with payers to improve coordination of benefits and maximize return. It also automatically identifies missing or incorrect Medicare Beneficiary Identifier (MBI) numbers or errors in patient contact details. This solution also helps providers understand the patient's ability and propensity to pay, allowing these organizations to predict revenue streams after service delivery. Behind the scenes, Experian Health also automates insurance eligibility verification to unlock hidden reimbursements. This software roadmaps the correct coverage, connects to more than 900 payers and verifies insurance coverage at the time of service to improve cash flow and ease patient payment burdens. 2. Reduce claim denials by decreasing manual paperwork errors Claim denials are one of the biggest impediments to revenue cycle predictability. Providers are stuck in an endless cycle of inaccurate payer submissions, rejected claims, and rebilling, creating a chaotic chase for payment long after the service. Today, 35% of healthcare organizations report $50 million or higher in lost revenue due to claims denials. Even worse, Experian Health's State of Claims 2022 report showed that 30% of providers say denials are increasing by up to 15%. According to that data, the top three reasons for claim denials are: Missing or incomplete prior authorizations. Failure to verify provider eligibility. Coding inaccuracies. Experian Health's Claim Scrubber software levels out provider cash flow, creating predictability amidst the chaos. The solution reviews complete claims for errors, generating actionable edits before submission. Claim Scrubber also reviews approved reimbursement rates to prevent undercharging. Transactions process within three seconds and providers reduce the need to rework claims. Experian Health's AI Advantage solution uses the power of artificial intelligence (AI) to evaluate every claim for its propensity to turn into a denial. Instead of submitting claims and hoping the payer will accept them, this solution takes the guesswork out of reimbursement for a more rational, predictable process. The software automatically scans for payer updates to reimbursement requirements that significantly contribute to claims denials. Hospitals like Schneck Medical Center use this tool to streamline the revenue cycle by preventing denials. After just six months, the provider’s denied claims reduced by an average of 4.6% each month. Claim corrections that took up to 15 minutes manually are now processed in less than five. 3. Increase collections efficiency with automation Patients trust their healthcare providers to take care of them. Providers also rely on patients to pay their bills. It's a mutually beneficial arrangement. However, it's also a problem forcing providers to walk a delicate tightrope between caring for a sick patient while still chasing payment for their services. Unfortunately, the increasing cost of healthcare leaves patients on the hook for more than $88 billion in debt. The volume of healthcare payments in arrears is staggering, causing a substantial drain on provider cash on hand. However, technology offers healthcare providers a way to improve the patient collections process. For example, Coverage Discovery impacts the revenue cycle at every stage of the claim: Before providing care, the software scans patient data to determine reimbursement coverage options from Medicaid, Medicare, and commercial insurance. It scans for active insurance 30, 60, and 90 days after care delivery. The tool scans patient data before determining whether the account moves to bad debt collections. A more robust understanding of patient payment options at every stage of claims management allows healthcare providers to forecast reimbursements more accurately, increasing the predictability of the revenue cycle. Collections Optimization Manager provides organizations with actionable insights, so that providers can segment and prioritize accounts by proprensity to pay. This solution increases patient collections by leveraging Experian's data driven segmentation models, and helps providers screen out bankruptcies, deceased accounts, Medicaid and other charity eligibility ahead of time. Experian Health's AI Advantage – Denial Triage prioritizes rejected claims based on their yield potential, automating workflows for claims managers so they focus first on the patients more likely to pay. This tool segments denials based on their potential value to help even out the revenue cycle with a faster rate of financial return. Denial Triage expedites A/R by increasing revenue collection per person per hour. Revenue cycles can be more predictable, but the complexities of reimbursement require technology to achieve this goal. Experian Health offers a comprehensive line of revenue cycle management solutions to help healthcare providers maximize collections and improve RCM. Find out why Experian Health ranks Best in KLAS for 2024 in the categories of Claims Management & Clearinghouse and Revenue Cycle: Contract Management, or contact us for a more predictable revenue cycle, better cash flow, and a healthier organization.
Artificial intelligence (AI) and computer automation are finally beginning to impact healthcare. Payers are implementing generative AI to improve the customer experience. Researchers at Stanford use AI to review X-rays and detect pathologies in seconds. Today, AI and automation can remind patients about appointments and even provide a portion of their treatment via robotic surgery devices. While groundbreaking AI and automation technologies are in the news, adoption by the majority of healthcare providers has been slow despite research showing these tools could eliminate up to $360 billion in spending. It's a startling statistic that illustrates the reality of AI and automation applied to the revenue cycle: These tools quite literally can pay for themselves. The case for applying artificial intelligence and automation in healthcare Successful revenue cycles depend on thousands of daily tasks, which means efficiency lies at the heart of these endeavors. However, there are a lot of improvement to be made. Experian Health's State of Claims Survey 2022 shows the current state of the average healthcare revenue cycle: Reimbursement cycles are running longer. Claim errors are on the rise. Denials are increasing. More than one-half of U.S. hospitals reported financial losses in 2022. A 2023 America Hospital Report (AHA) report showed: 84% of hospitals admit the cost of complying with payer reimbursement requirements is increasing. 95% report spending more time on pursuing prior authorization approval. Over 50% of hospitals and health systems have more than $100 million tied up in A/R for claims six months old. These challenges stem from the increasing complexities of working with third-party payers, but also the by-hand human workflows embedded within provider revenue cycles. The State of Claims Survey 2022 showed that 61% of providers say they rely too heavily on manual processes and lack the automation they need to streamline reimbursement. As costs rise and revenue cycles tighten, there is increasing pressure to do more with less—faster. However, chronic healthcare staffing shortages have only exacerbated how hard it is for providers to get paid. Technology solves many of the problems plaguing healthcare's revenue cycle. AI and automation offer better revenue cycle management tools with fewer errors, less manual work, and more streamlined processes. How AI and automation improves revenue cycles Increasingly complicated reimbursement processes are the perfect testing ground for new technologies. These tools can improve the revenue cycle from the first point of patient contact to collections long after the procedure is over. For example, AI and automation software can greatly reduce errors and increase the accuracy of claims information before submission. When billing becomes more accurate, it lessens the volume of rejected claims, which take up an inordinate amount of staff resources and lengthen the time from service delivery to reimbursement. But AI and automation also impact the backend of the patient encounter by helping collections teams prioritize accounts most likely to pay. Four applications for AI and automation in the revenue cycle include: 1. Applying automation to patient registration The revenue cycle begins at patient registration, and that's also where providers can begin to apply technology to increase cash flow downstream. Patient registration is often cumbersome, an in-person process tied to a clipboard, paper, and open office hours. Yet Experian Health's State of Patient Access 2023 report shows that 73% of patients want to handle these processes online. Self-scheduling offers patients more flexibility for scheduling appointments when they want and on their preferred digital device. It can remove the friction from a frustratingly manual paperwork process while decreasing no-shows with automated messaging by text and email. Experian Health's automated patient scheduling software reduces time spent on traditionally manual scheduling tasks by 50%. Providers that select these tools increase their patient show rate to nearly 90%. From a revenue cycle perspective, providers that implement online self-service scheduling can see up to 32% more patients each month—which is money in the bank. 2. Finding hidden financial resources to reduce bad debt Experian Health's Coverage Discovery® automates the insurance verification process to match patients' responsibility with the best financial resources possible given their policy limits. Coverage Discovery scans proprietary databases and historical information for primary, secondary, and tertiary coverage. The platform seeks to find all available financial resources to lower the volume of accounts that end up as write-offs or in collections. In 2022, Coverage Discovery found $64.6 billion in patient coverage. In 2023, this software discovered previously unknown financial options for 32.1% of patient accounts, giving these customers more options for reducing debt. 3. Preventing denials by improving data quality Many claims are rejected by payers each day simply due to human error. Some of the most common reasons for claims errors include missing or inaccurate information caused by manual processes. From eligibility verification errors to incorrect insurance details, when paperwork is still by hand and this complex, it's far more likely to make an error than not. Experian Health's Patient Access Curator software automatically verifies eligibility and coverage while scanning patient documentation for obsolete or inaccurate data. The software leverages artificial intelligence and robotic process automation (RPA) to apply computer rigor to previously manual workflows to reduce manual errors. Significantly, this new technology performs these tasks in seconds, freeing up staff time and improving the patient experience. 4. Using artificial intelligence to prevent and mitigate denials How much does the endless pursuit of denials management tie up potential revenue? One survey showed half of hospitals report more than $100 million in delayed or unpaid claims at least six months old. The good news is that 85% of the errors that lead to denied claims are preventable with the help of existing technology. Experian Health's AI Advantage™ solution works in two critical areas to prevent denials before they happen—and correct any denied claims quickly: At the front end of the claim, by correcting errors before submission. AI Advantage - Predictive Denials spots the submissions most likely to kick back from the payer. This early warning system reduces the volume of denials by flagging claims with errors stemming from human mistakes or payer requirements changes. At the back end of the claim, for those rejected by the payer. AI Advantage - Denial Triage takes the volume of claims rejections and prioritizes them by those with the highest ROI for the provider organization. Not all denials offer the same volume or potential for revenue collection. This solution helps prioritize the highest returns quickly to increase revenue collection. Benefits of applying AI and automation to healthcare's revenue cycle There is little argument across the healthcare industry that the strategies that once worked to create a healthy revenue cycle still apply. Fortunately, today's AI and automation software allow these organizations to modernize their approach to these complexities—and win the revenue cycle game. The benefits of applying modern AI and automation tools at every point of the revenue cycle are substantial: Faster and more accurate patient scheduling and registration. No more manual data searches that tie up staff time. Fewer data entry tasks that lead to errors. Fewer claim denials. Less time spent chasing claims. Fewer days in A/R. More cash on hand. A high-performing revenue cycle is possible with the latest technology tools. Experian Health offers a suite of technology solutions that utilize artificial intelligence and automation designed to get providers paid faster, free up staff time, and improve the patient experience. Improving the revenue cycle is a necessity, and Experian Health helps healthcare organizations achieve this goal.
With the ability to be applied across many different areas – from disease prediction to claims management and administrative tasks – data and analytics in healthcare is booming. In fact, according to a Grand View Research report, the global market for data analytics was valued in 2022 at $35 billion and is expected to increase at a compound annual growth rate of 21.4% until 2027. So, why the rapid growth? How can healthcare data analytics be used across the healthcare revenue cycle? The role of data and analytics in healthcare Historically, there has been a large amount of healthcare data being generated, but the industry has struggled to properly leverage this data into useful insights that improve patient outcomes, operations, or revenue. Today, with increasingly advanced data analytics, healthcare providers are using real-time data-driven forecasts to stay nimble and pivot quickly in rapidly changing healthcare and economic environments. And there is more data collaboration between healthcare organizations to convert analytics-ready data into business-ready information, thanks to the ability to automate low-impact data management tasks. Data-derived intelligence is also now easier to share with colleagues, third parties and the public. Types of healthcare data analytics methodologies and tools Healthcare data analytics involves several different types of methodologies and tools – all of which can be applied to various aspects of revenue cycle management. For example, descriptive analytics allows organizations to review data from the past to gain insights about previous trends or benchmarks. Predictive analytics, on the other hand, uses modeling and forecasting to help predict future results. When a strategic course of action is needed based on certain data inputs, prescriptive analytics is used. If a provider wants to take a deep dive into raw data to uncover patterns, outliers, and interconnection, they may employ discovery analytics. There are also generally three categories of technology-driven tools that can help collect and convert raw data into usable insights during the revenue cycle, including: Solutions that gather data from a wide variety of sources, such as patient case files, machine-to-machine data transfers, and patient surveys Programs designed to scrub, validate, and analyze data in response to a specific question being researched Software created to leverage the results produced by the analysis into actionable suggestions that be applied to meet specific goals Applying data analytics to maximize revenue “There are many things driving near-constant change in the healthcare revenue cycle, including shifting reimbursement, evolving value-based payment models, growing regulatory pressures, and increasing provider risk and patient responsibility,” says John Menard, VP of Product, Analytics, at Experian Health. “Healthcare organizations are also adapting to value versus volume reimbursement models, requiring revenue cycle leaders to lean into leveraging data analytics to improve not just operational efficiency, but patient financial experience and quality outcomes as well." Here's a closer look at how data analytics can help with revenue cycle management: Assessing patient finances From registration to collections, data analytics can play a key role at every step of the patient journey – and revenue cycle. Not only can the right data analytics tools help healthcare organizations better assess a patient's individual financial circumstances, but they can also help providers create accurate estimates and payment plan recommendations. Data-driven technology can help providers reduce surprise billing through more transparent pricing, helping patients navigate the cost of care and providing more timely patient communication. Digital solutions can help improve the patient financial journey by: Providing a self-service patient portal – With a solution like PatientSimple, patients get convenient 24/7 access to self-service account management tools. They can use the online portal to log into their healthcare account to securely process payments, request or review payment estimates, and schedule appointments. The portal also provides patient access to pricing information, plus the ability to apply for financial assistance or set up payment plans. With easy-to-use patient online tools, patients are more likely to meet their self-pay responsibilities and providers get paid more quickly as a result. Offering payment solutions – To collect payments with confidence, healthcare providers can utilize comprehensive data collection and advanced analytics through a digital solution like Patient Financial Clearance. With this solution, providers use a patient's financial data to quickly assess a patient's propensity and likelihood to pay prior to treatment. When appropriate, providers can then offer empathetic financial counseling and connect those that potentially qualify to financial assistance programs. By applying data analytics to this payment solution, healthcare organizations can increase point-of-service collections while reducing bad debt—in real-time. Providing patients with more accurate estimates – A recent Experian Health study found that 4 in 10 patients said they spent more on healthcare than they could afford. However, when patients know the expected cost of their care up front, they feel more empowered and make better decisions. Patient Estimates lets providers create more accurate estimates, eliminate manual tasks and improve patient satisfaction. Plus, it allows providers to automate and standardize their price transparency practices, which can help healthcare organizations meet regulatory requirements, create a more positive patient experience and increase revenue at the point of service. Reduce denied claims According to Experian Health's 2022 State of Claims survey, denied claims are on the rise with 42% of providers reporting that denials increased in the past year. 47% of respondents also said improving clean claims rates was a top pain point. Digital solutions can help providers reduce denied claims and increase revenue by: Automating claims management – With a solution like ClaimSource®, providers can automate their claims management systems – helping to ensure claims are clean before they are submitted to a government or commercial payer. Using an automated solution also allows providers to streamline the claims management process from a single web application. With ClaimSource, providers can easily analyze claims, payer compliance and insurance eligibility. Plus, it allows staff to prioritize their workload and focus on high-impact accounts – resulting in claims denial rates of just 4% compared to the industry average of more than 10%+. Optimizing efficiencies through artificial intelligence – Incorporating artificial intelligence (AI) into an automated claims management solution enhances the claims process in two key moments: before claim submission and after claim denial. AI Advantage™ integrates seamlessly with ClaimSource to continuously learn and adapt to ever-changing payer rules. The solution features two AI offerings, AI Advantage – Predictive Denials and Denial Triage, which can be customized to prioritization thresholds. Verify insurance and patient information Missing patient healthcare data can be a headache for providers to hunt down but looking for active coverage is often necessary. Providers must contend with a range of factors impacting patient coverage – including forgotten coverage, inadequate coverage, patients being misclassified as self-pay and regulatory changes, particularly with Medicaid and Medicare coverage. Implementing digital solutions can help providers use data to verify and find missing patient health insurance coverage, optimize patient collections, and boost revenue by: Utilizing automated, real-time insurance verification – Verifying patient coverage prior to service using a digital solution, such as Experian Health's Insurance Eligibility Verification. This tool can help providers experience fewer payment delays and claim denials. Plus, verifying insurance with automated insurance eligibility and benefits data improves cash flow, reduces claims denials and speeds up payments, including Medicare reimbursements. Patients also feel empowered with accurate payment estimates and accelerated registration, leading to a better patient experience overall. Improving collections with better data – With Collections Optimization Manager, providers can screen out bankruptcies, deceased accounts, Medicaid and other charity eligibility ahead of time. Through targeted collection strategies, providers can leverage actionable insights to focus on high-value accounts. Plus, predictive algorithms and data-driven rules help providers route and distribute accounts to the right collectors and agencies, controlling overall collection costs. This solution also connects providers to live support from an experienced optimization consultant that will help develop a tailored collection strategy through data evaluation and industry knowledge. Finding unidentified coverage – In 2022, Coverage Discovery tracked down previously unknown billable coverage in 28.1% of self-pay accounts, finding more than $64.6 billion in corresponding charges. Providers can use Experian Health's Coverage Discovery solution at any point in the revenue cycle to look for previously unidentified coverage – maximizing insurance reimbursement revenue and reducing accounts sent to collections, charity, or bad debt. Coverage Discovery also automates self-pay scrubbing and proactively identifies billable Medicare, Medicaid, and private insurance options, using a mix of search, historical information, proprietary data sources and demographic validation. See how the right data and analytics can help providers better understand their patients, streamline operations, and improve revenue.
A little over a year ago, Experian Health surveyed healthcare providers for a snapshot of their views on the digitalization of patient access, and the importance of healthcare collections. At the start of the COVID-19 pandemic, patient collections emerged as a top priority, the result of rising unemployment and competing consumer demands that impeded patients’ ability to pay. By June 2021, provider attitudes had changed. Our follow-up State of Patient Access 2.0 survey revealed that patient collections were no longer the number one concern for healthcare providers. Patient perceptions of the billing process have improved too. In our latest Interview with the Expert, Matt Baltzer, Senior Director of Product Management at Experian Health, explains why providers feel more confident about patient collections. He also discusses how automated healthcare solutions can help providers shore up these gains and optimize healthcare collections – especially as consumer behavior returns to pre-pandemic patterns. Watch the interview below: Why are healthcare collections no longer the number one concern for providers? In the six months between the two surveys, the number of providers saying they were “concerned or very concerned” about collecting payments from patients dropped from 50% to 41%. Baltzer explains that during this time, collection rates were relatively steady (when adjusted for volume), and providers received fewer calls about patient balances. Currently, the bigger concern for both providers and patients is to determine patients’ coverage status quickly and accurately. There are three main reasons for this shift. Firstly, multiple rounds of stimulus payments issued by the government helped consumers pay down their debts, including medical bills. Secondly, the pandemic caused a drop in consumer spending on travel, entertainment and dining out, which meant credit card usage was lower than pre-pandemic levels. Consumers had more cash available to pay healthcare bills. And thirdly, employment rates have started to recover. Around the time of the first survey, providers were faced with a surge in patients who had suddenly lost employer-based coverage, but as unemployment levels improve again, this is less of an issue. Those still affected by job losses have been able to access expanded government support, such as Medicaid. How should providers prepare as consumer spending returns to pre-pandemic levels? As Americans start to return to previous consumer habits and routines, household spending is likely to increase, which could squeeze medical bills again. Baltzer explains that “as we see stimulus programs winding down, and discretionary spending options increase, we can expect to see an increase in the utilization of revolving credit lines. For most consumers, that will mean it’s more difficult to meet unplanned out-of-pocket obligations.” Prior to the pandemic, a survey by the U.S. Federal Reserve found that 40% of Americans struggle to find $400 to pay for an unexpected bill. This means providers may not be able to rely on the steady collection rates seen in recent months. While efforts to improve transparency will help patients prepare for possible financial obligations, many providers are going further, implementing the right data, tools, and strategies to understand and address each consumer’s unique situation, making it as easy as possible for patients to pay. Baltzer says: “Data can help drive attention to the accounts with a higher likelihood to pay. This means you can identify those who just need a little more time to pay, and then help those truly in need of charity support. Things can change quickly, and having fresh, accurate data will be essential. Now is not the time to take our eyes off the ball, as the game may shift quickly.” With access to reliable and comprehensive consumer data and automated patient collections solutions, providers can tailor the patient experience according to individual needs and preferences. They can create a more empathetic financial experience, with upfront pricing estimates, personalized payment plans and flexible payment options. Not only will this be more desirable for patients, but it will also optimize healthcare collections, improve operational efficiency and increase the chances of more bills being settled in full. How can optimizing patient collections offset recent staffing challenges? Staffing shortages remain a growing challenge for healthcare providers. According to Baltzer, technology and automation can help ease the pressure on collections teams. He says, “Automation is key. Providers are being challenged to make the most of limited staff resources, especially for patient collections. It’s important to focus staff attention on the accounts most likely to pay. That means filtering out accounts that might be bankrupt or deceased and using automation for manual tasks – such as checking for charity eligibility or cleaning up patient records. Best-in-class providers are increasingly leveraging automated dialing and texting solutions to communicate with patients and help short-staffed teams focus on the tasks that matter.” Collections Optimization Manager can help organizations deploy a targeted approach to patient collections, using data and analytics to segment, screen and monitor accounts. By optimizing on the back end with user-friendly interfaces and efficient workflows, staff can focus their efforts on the accounts that need the most attention. On the front end, Patient Outreach solutions can help patients take control of their own financial journey with timely bill reminders and self-pay options, and requires minimal staff intervention. Automated text and IVR messages that connect directly to billing software ensure that more accounts are settled without adding to the organization’s headcount. Watch the full conversation, and download the State of Patient Access Survey 2.0, to find out more about how Experian Health can help your organization spot new opportunities to optimize healthcare collections.
Will handshakes become a thing of the past? Will face masks become a regular feature of flu season? Will home-working remain popular, even after workplaces re-open? COVID-19 forced some abrupt behavior changes that challenged existing cultural norms, but as the pandemic subsides, how many of these adaptations will survive? For healthcare executives, the return to on-site medical visits raises similar questions. Healthcare consumers were already expressing an appetite for more convenience and control, and the pandemic accelerated the use of digital solutions for everything from patient access to telehealth. Being able to book appointments, complete pre-registration forms and make payments online is the new baseline. As patient volumes start to increase, hospitals and physician groups shouldn’t take their foot off the gas with digitalization, particularly in patient intake, which doesn’t have to involve in-person contact. There’s an opportunity now to learn from what’s worked well over the last year and cement the pandemic’s digital legacy. What does the new normal look like in patient intake? Getting back to basics with convenience and compassion Once crisis mode has passed, providers can refocus their efforts on the building blocks of an optimal health service: high quality care and a convenient and compassionate patient experience. After the uncertainty and loss of control over the last year, patients want autonomy and choice. Initiating a smooth patient journey through online pre-registration, patient portals, virtual waiting rooms and digital scheduling can contribute to this. Many will be happy to say goodbye to piles of paper forms and long waits in the waiting room. But any digital strategy must also support those with limited access to devices and broadband or limited digital literacy. Liz Serie, Director of Product Management at Experian Health, says: “The goal is to give patients the same exceptional experience and care, regardless of when or how they complete patient intake. Using the same tools that we know our patients are already comfortable with will help to ensure an inclusive approach.” Digital technology can support a multichannel approach, for example, using automated dialers to make phone calls where mobile apps aren’t an option, or using patient data to segment individuals according to contact preferences. Re-engaging hesitant patients The CDC reported in September 2020 that around 40% of adults delayed care due to the pandemic. While more recent data suggests fewer patients are deferring care, some experts worry that patient volumes won’t return to normal until 2022. How can providers ease the return to care? Online health portals were helpful in keeping people out of facilities during the pandemic – can they now serve a different purpose in reminding patients to come in for check-ups? Patients will need clear information about what protocols to follow during patient intake and what to expect from virtual waiting rooms, as well as reassurance that the experience will be safe. Streamlining patient access with accurate data Unlocking the digital front door made logistical sense during the pandemic. It’s even more critical as patient volumes drive back up. Providers will want to review their protocols to be sure that speedy implementation has not left that door open to costly data errors. Is the right information being collected at the right time? Consumers are looking for flexible and accurate appointment slots for self-scheduling, and they want their financial ducks in a row as soon as possible with quick authorizations and coverage checks. Getting data right first time makes for a smoother patient experience, more efficient staff workflows and fewer claim denials down the line. Preparing for an uncertain future Looking ahead, patient intake protocols will need to be flexible enough to adapt to changing patient needs, particularly if there are further waves of the pandemic. Digital solutions can help providers prepare for the unexpected and shift from a reactive response in a crisis to a proactive step towards the future. For many providers, future-proofing the patient intake experience is also an important remedy to the financial losses suffered during the pandemic. Digital solutions built on accurate data, consumer needs, accessible information can protect against further revenue loss by giving patients reliable ways to access and pay for care, no matter what the future holds. Medicine is built on in-person care, but we don’t need to be face-to-face to fill out forms. Patient intake is one area where “the old way” doesn’t have to return. Find out more about how your organization can build on the pandemic’s digital legacy and create a leading patient intake experience.
More than 7 million households moved to a new county during the pandemic. Huge numbers of Americans deciding to escape busy urban centers is one unexpected side-effect of COVID-19 that’s hitting healthcare providers hard. According to a Pew Research Center study, more one in five relocated during the pandemic or know someone who did. More recent research suggests that just over half of Americans plan to move in 2021! While fears around the risk of infection and the knock-on effect of rising unemployment prompted some to seek out quieter and more affordable areas early on in the pandemic, motivations for moving in 2021 are driven by new perspectives on what’s important in life. After a year of uncertainty, many are relocating in search of a better quality of life, remote working opportunities, or adventures someplace new. High turnover calls for better local healthcare marketing Whatever the reason, relocating brings significant upheaval: new jobs, new schools, a new community – and potentially a new healthcare provider. There’s a huge opportunity for providers who can make it easy for new residents to take “find a healthcare provider” off their relocation to-do lists. As the “for sale” signs go up, the geography of healthcare use is changing. Some providers are seeing a dip in their consumer population, while others are gaining new consumers. Providers must think differently about attracting new patients to minimize the risk and impact of this high turnover. How do they find them and communicate in the most engaging way? Here, we look at how healthcare marketing strategies can help providers maintain a pipeline of new patients and inspire lasting loyalty in their existing consumer base. Smart marketing when there’s a surge in new residents Traditionally, providers looking to draw in new patients might rely on “new mover lists” and mailshots. But these lists don’t reveal much about who these new movers are and what they care about, which leads to generic, one-size-fits-all marketing messages. With the right data, providers can access more meaningful insights about these newcomers’ lifestyles, interests, incomes, and preferences, for a more sophisticated marketing strategy. For example, one in ten people aged 18 to 29 are affected by pandemic-related house moves. As a healthcare provider in an area with a growing young population, it would make little sense to send mailshots that promote retirement health checks. A more relevant option might be an email or text with information about a new easy payment app or telehealth service. The more providers understand about potential new patients, the more they can customize their patient engagement strategy. Mindy Pankoke, Senior Product Manager at Experian Health, says: “The heavy movement patterns we expect this year mean providers must double down on acquisition strategies to maintain a healthy pipeline of new patients as consumers move into their service areas. If multiple health systems are trying to attract the same new patients, you need a clear message to differentiate your services. What’s going to resonate most? How do new patients want you to communicate with them? With the right data insights, you can reach them first with a tailored engagement experience and get the competitive edge.” ConsumerView aids this by combining hundreds of millions of data points to reveal how patients spend their time, how they spend their money, and how they think. This includes demographic attributes, communication preferences, credit and financial information, plus insights on how individuals may be affected by the social determinants of health. Using consumer insights to keep existing consumers happy For regions that experience a net loss in patient numbers, retention marketing will be more important than ever. Patients have more choice now, and as providers compete to attract new members, existing patients may spot competitors’ healthcare ads and be tempted to switch too. Consumer data powers retention in much the same way as acquisition, by allowing providers to segment patients to offer personalized communications and point them towards relevant services. For example, new research shows that patient loyalty in pediatrics tends to hinge on quality, while choice of adult care is driven by convenience. Segmenting people with young children from those without means you can focus your messaging on what matters most to them. With a supportive patient experience already available to them, those consumers will have no reason to look elsewhere. Providers shouldn’t rule out marketing to existing patients who have moved. Though they may be in a new area, they can still access services via telehealth. Since convenience is a key motivator, reminding them of remote and virtual offerings could be a great way to retain their business. Focusing on a specific niche not widely available elsewhere is another strategy to retain clients even as they relocate. ConsumerView is one way to leverage consumer insights to improve the customer experience through targeted outreach, regardless of location. This specialty list of consumer data from a trusted original source compiler draws together everything providers need to attract and retain patients and offer a personalized patient experience as communities adjust to life beyond COVID-19. Contact us to find out how consumer data could help your organization market to new and existing residents more effectively in 2021.
Knowing that clinical care accounts for only a portion of health outcomes, understanding how patients are affected by social determinants of health (SDOH) continues to gain attention as a critical factor in care delivery. COVID-19 has thrust the issue even further into the spotlight, with socially and economically vulnerable groups hardest hit by the pandemic. At the same time, the expansion of telehealth services over the last year has benefited some marginalized groups, who may feel uncomfortable visiting health facilities or may, for example, sometimes face challenges finding transportation to and from their visits. What’s clear is that when it comes to mitigating the impact of COVID-19’s lingering effects, patient identities based on clinical data alone simply won’t cut it. Providers need a holistic view of patients – both clinical and non-clinical. Many providers do not have updated contact information for the patients they want to engage, in addition to missing patient-level insights such as housing, food, access to technology, transportation and financial stability data that could help better engage patients. Given the many complicated personal and structural barriers that may exist to accessing healthcare, providers lacking SDOH data in patients’ records are risking avoidable readmissions, unnecessary ED visits, poor care quality ratings and denied reimbursements. Understanding patient needs and preferences via lifestyle factors – like occupation and technological knowledge – helps providers improve engagement, outreach and access. The results can be game-changing. The benefits of an enriched, more robust patient record with SDOH Improved certainty of patient needs to achieve healthy outcomes Whether it’s missed appointments, lack of engagement, deferred treatment, or failure to comply with care instructions – if SDOH is the cause, providers need to know. An enriched patient record that includes clearly defined SDOH risks and insights to those risks is invaluable. For example, if a patient record includes recommended engagement strategies suggesting medication delivery, or ensuring medications are with the patient at discharge, due to the patient’s difficulty accessing a pharmacy, negative outcome risk is reduced. Significant provider blind spots that might otherwise interfere with desired health outcomes can be eliminated or extensively mitigated with access to this kind of data. Consumer data gives additional insight useful in risk stratification efforts, allowing care teams to get granular and proactive if, for example, a patient’s lifestyle makes office-hour calls impossible, or if a lack of transportation requires the patient be informed that telehealth is available. Additionally, the data can flag if the patient prefers reminders by text, voice message or email. These considerations make a difference; 80-90% of modifiable contributors to healthy outcomes for a population are regularly attributed to the social, economic and environmental factors that comprise SDOH. Connecting the dots can improve care coordination SDOH data doesn’t just help flag general access issues; it can also help providers dig into specific challenges that may warrant referrals to community programs or additional staffing support. SDOH data may lead to the discovery that a patient is struggling to access healthy, affordable food and prompt a conversation about getting referred to an in-network nutritionist or local food partnership. Patient-specific information can be merged with consumer databases covering a range of socio-economic data, initiating proactive conversations with patients that can solve non-clinical gaps in care. Clarity of the “why” behind patient insights, for better communication and engagement Someone experiencing financial instability as a result of pandemic-related unemployment will expect a different financial conversation than someone who has lived in poverty for their whole life. Further, two patients with high readmission risk can have completely different social determinants of health impacting that risk. Knowing that patients are affected by SDOH is only one piece of the puzzle. Understanding the bigger picture helps create a whole picture and enables personalized, sensitive, and helpful communication. A turn-key SDOH solution that helps define the “why” behind the score avoids analysis paralysis and enables a quick, effective engagement strategy based on what really matters to patients. Supplementing patient surveys with consumer data is also important, as it provides deeper insights and recommendations for engagement strategies. Of course, a connected system only works when the patient identity is accurate and tracks them from service to service. With a universal identity manager, you can have confidence that your teams are all working from a complete, current and insights-rich view of each patient. Find out more about how Experian Health can help your organization make sense of SDOH data for better patient identity management and a more personalized patient experience.
Collections were tough even before COVID-19 hit. Provider’s bottom lines were already strained, and the high-deductible trend continued, putting patients on the hook for a bigger chunk of their medical bills. A highly volatile – but improving – employment environment hasn’t helped, and some patients’ ability to pay hasn’t kept pace with their growing financial responsibilities. Many have new health plans, lapsed coverage or are more focused on other debts, making collections even less predictable. Providers may also feel that payer policy changes haven’t made recouping lost pandemic revenue any easier, with some losing two whole business days per week to completing prior authorizations. It’s no wonder that nearly one in five providers have overhauled their patient collections strategy in the last year. Now, after a year of the pandemic’s impact on revenue, three dominant trends continue in this space: rising patient balances, an accelerated move toward innovative payment experiences that are moving toward digital engagement as a preferred option to paper or “payment at the counter,” and a realization that compassion is a key factor in solving this challenge. Avoiding new pitfalls in patient collections Go-to strategies for improving patient collections before the pandemic might have only included offering more patient payment options, doing more to check for missing coverage, or focusing efforts on patients who are most likely to pay. These are sensible options but, if implemented poorly, they’re more of a band-aid than a cure. Some shortcomings include: Models relying on historical payment data don’t show the full picture Providers know that focusing their collections efforts on patients who are most likely to pay is the most efficient approach. But determining a patient’s ability to pay on historical payment data alone is likely to be unreliable. Experian Health’s research suggests that when a collections model relies on historical data alone, around 50% of accounts end up being worked on the basis of no data at all. New accounts are assigned to a “highly likely to pay” segment, whether or not that reflects the reality of their situation. This model costs four times more than utilizing Experian Health’s Collections Optimization Manager, which can predict the ability of patients to pay, even without historical payment, by using multiple data sources. Collections based on limited data will require more resources to work more accounts, but which ultimately will collect the same as collections based on multiple data sources. Beware of artificial claims about artificial intelligence To streamline workflows and avoid losing staff hours to inefficient processes, many providers are turning to automated patient collection solutions. Artificial intelligence in healthcare is an exciting prospect, but not all solutions are what they seem. Matt Baltzer, Product Director at Experian Health, says: “Many collections tools claim to use artificial intelligence when they’re really using basic automations based on incomplete data. Since the quality of the output is only as good as the data that’s put in, the insights generated by these tools will be severely limited.” To solve the collections workflow challenge, providers need an end-to-end strategy that integrates multiple high quality data sources, intelligent analytics and a responsive platform that learns and adapts in order to prioritize patients and communicate with them in a way that makes collections easier. Cash payments and price transparency can be part of, but not all of, the solution One way to smooth out a bumpy revenue cycle is to offer discounts to patients who pay in cash. It saves on admin costs and guarantees at least some of the bill will be paid. While this makes sense for minor ailments, admin and treatment costs for chronic conditions and major medical events remain persistently high. A resilient collections strategy needs to work across the board, addressing the many treatments, procedures and care plans that providers deliver and manage every day. Requirements for improved collections, post-COVID-19 The cohesive, integrated model that providers need has the following key elements: Multi-data sources for comprehensive analysis Optimal collections modeling uses different sources of data to build a more reliable prediction about a patient’s ability to pay. Combining credit data, behavioral modeling and socio-economic insights can help providers better understand their patients’ financial situation and group them accordingly – quickly and accurately. Convenience and clarity for patients and staff Automated workflows with easy-to-use interfaces will make collections easier for staff, and eliminate time-wasting manual tasks. At the same time, a smoother, more targeted collections process means staff can engage with patients on the basis of accurate information, with fewer (and less stressful) calls and emails. Advanced data analytics and automation for fewer errors and denials In-depth data analytics allow providers to screen and segment patients quickly to help prioritize accounts by payment probability, to achieve a higher rate of collections. A tool such as Collections Optimization Manager will evaluate collection performance in real-time, to help providers forecast patient payments and avoid bad debt. Expert consultancy support to stay on top of industry trends With the payments landscape in constant flux, having an expert on hand to help navigate the changes and advise on industry trends is a major asset. Experian Health’s team stands ready to help providers monitor and improve collections with industry insights and best practice strategies. Find out how Collections Optimization Manger can help your organization avoid patient collections pitfalls and reduce lost revenue in the wake of the pandemic.