What if you could flag patients who are at risk of readmission? What if you could anticipate missed appointments or know ahead of time that someone is going to face challenges with their care plan? This knowledge could help you improve patient outcomes, streamline staff workflows and improve your bottom line. So how can you get this non-medical information and use it to improve treatment outcomes? A person’s circumstances can help us understand potential challenges in access to care to predict their behaviors More than 80% of health outcomes are unrelated to medical care. Instead, they are attributable to outside social and economic forces, such as housing, education, unemployment, low income, transportation, access to green space, loneliness, inequality and other non-medical factors. These social determinants of health (SDOH) are the living and working conditions that come together in just the right combination to either promote or a limit a person’s health and wellbeing. As a healthcare professional, you’re no doubt aware that people struggling with financial or life circumstances have a more difficult time focusing on their health and subsequently face more urgent hardships. And it isn’t just the patients who suffer. It has a negative impact on the entire healthcare ecosystem. Why providers should care about social determinants of health When patients struggle to access healthcare services, they’re less likely to follow treatment plans or adhere to follow-up visits. They’re more likely to need to come back with more serious conditions that could have been detected earlier, had they felt equipped to follow the care plan. Not only is this worrying for the patient, but it also leads to excessive service utilization that is costly for providers. Missed appointments are estimated to cost the US healthcare system a massive $150 billion, while each unused 60-minute slot costs an average of $200. And that’s not to mention the opportunity cost of equipment and rooms sitting idle, and all those wasted hours of billable physician time. The shift to value-based care puts more pressure on providers to improve outcomes. But how can they do that when those outcomes are partially determined by factors beyond their control? Considering that 68% of patients have at least one social determinant challenge, the only sensible move is to bring solving for SDOH to the forefront of care planning. “No patient wants to skip appointments and dial 911 as their only reliable means to get the care they need,” said Karly Rowe, Experian Health vice president of product management. “We want to level the playing field by helping providers identify and solve for these socio-economic challenges that make it hard for some patients to get the care they need. SDOH has the ability to improve outcomes, lower costs and increase patient satisfaction, removing the socio-economic obstacles hindering healthcare.” An example of providers and payers collaborating to solve for social determinants of health is the Aligning for Health coalition, which in 2016 referred 33,000 patients to community initiatives. Andy Friedell, a senior vice president at Maxim Healthcare Services said of the program: “We are prioritizing community-based care and social determinant solutions for our patients and clients. In fact, we have effectively used these tools to help reduce readmissions by over 65% for high-risk patients.” How can social determinant data improve outcomes? Let’s look at two examples of how healthcare providers might analyze social determinants to help improve care management. 1. Reducing appointment no-shows For many patients, a lack of transportation is the main barrier to compliance. How do they get to an appointment or procedure if they don’t have a car, don’t live in an area well served by public transport, and can’t afford a cab? Looking at vehicle registration data and public transport services in the area would be one way for a provider to gauge access to care. But does that give the full story? Even if they can find transport, are they juggling two jobs? Do they need childcare? By synthesizing data on transportation, family arrangements, average incomes, and more, providers can anticipate the propensity of someone being unable to access care, and offer solutions such as a free hospital bus service or crèche facility. 2. Preventing escalated health conditions Understanding social determinants is not about identifying unhealthy behavior. For example, a provider might see poor health and point to poor diet. But a patient’s poor diet may not simply result from poor choices. A provider who’s aware of the potential impact of social determinants might consider the propensity of food insecurity – maybe the patient doesn’t have access to healthy food? However, putting the patient at the center and truly understanding social determinants means thinking beyond the ‘food desert’ explanation. Even where healthy food is available, the ability to eat it might be limited by lack of time to cook it, or money to buy it. The provider must adjust their lens and understand how a stressful work schedule, chaotic household and readily available cheap food converge to make it virtually impossible for the patient to even think about putting their health first with a healthy meal. As a result, a patient who could have been identified early on with symptoms indicating the onset of diabetes, for example, instead has their diagnosis delayed because they can’t get to an appointment, while their condition worsens due to their unhealthy diet. Instead of offering dietary advice or signposting to a wholesome supermarket, the provider might choose to work with a registered dietician nutritionist, direct patients to community resources, participate in community partnerships, or even engage with local planning departments and commercial developers. When you understand what drives your patients and recognize the real barriers preventing them from prioritizing or accessing healthcare, you can proactively identify opportunities to solve them. 3. Using the right data to understand and solve for social determinants of health Better care management and improved health outcomes start with understanding the whole patient and the social determinants impacting their life, and then turning those insights into actions. For providers to be proactive, preventative and patient-friendly, they need to know the patient’s socioeconomic background before they enter the room. They must have an idea of what that conversation should look like before they even say hello, and know which SDOH-related programs might be relevant to this patient. Analytics platforms can help leverage wider consumer data sets to spot patterns that affect operational efficiencies so providers can offer more patient-centered care. Of course, if you’re using consumer data, you must have confidence both in its accuracy and in your ability to safeguard consumer privacy. Both can be achieved if you work with a data management partner who can collect data from consumers at scale, with solutions that check all the privacy boxes necessary to allow this data to be used in a healthcare setting. So if you weren’t already thinking about what social determinants of health mean for your organization, perhaps think about what you could do now to incorporate a solution that tells you what patients need, provides the right amount of context to understand what external factors might be causing or affecting that need, and then solve for it at the point of care. — The solution exists to help you. You could have the power to identify and solve for social determinants at your fingertips.

Whether it’s due to pressure from governing bodies or price-shopping health consumers, many healthcare organizations are being challenged with price transparency efforts. With so many moving parts to determine a patient’s financial liability, how can accurate patient estimates be provided in a timely manner? Giving patients the right pricing information at the right time Like many healthcare systems, Blessing Health relied on various printouts and spreadsheets of price lists from different departments of the hospital to provide patient estimates. Lists needed to be manually updated, and the staff often relied on outdated information. The process wasn’t standardized, and estimates were inconsistent across the enterprise. While Blessing wanted to make sure that patients were getting accurate information, the estimates didn’t consider a patient’s insurance information. Since patients weren’t understanding their true financial obligation, it caused frustration among patients and employees. In today’s competitive environment, it’s important to reduce instances in the patient journey that might cause irritation. A recent report from Trends in Healthcare Payments, notes that patients who are satisfied with billing are five times more likely to recommend the hospital. At a time when hospitals are being asked to do more with less and reduce the cost of care, manual processes and work must be reduced and automated with data to provide accurate information. Patient liability estimation is a complex process of calculating multiple components, not easily available to users, including insurance benefits, charges, contractual adjustments and provider discounts. If hospital staff are manually estimating the processes, they could be using outdated pricing lists which may not include application of insurance benefits, contract rates, and discounts. As consumers gain access to pricing information, health leaders should invest in data-driven technology that can provide consumers with accurate personalized estimates. Most healthcare organizations already have the basic data they need to use automated technology to construct estimates for basic services, including claims data, real-time eligibility and benefits information, payer contracts and charge description master (CDM) information. Blessing Health knew they needed to find a way to advise patients of their financial liability, as well as give staff a tool they could confidently use to request patient payments upfront to increase collections. They wanted real-time estimates that were personalized based on a patient’s insurance and contract information. To do this, Blessing Health reached out to Experian Health to integrate Patient Estimates into their Allscripts® workflow. What to look for in price estimator tools Healthcare organizations should implement price transparency and collection practices that are standardized across the enterprise. A pricing transparency tool eliminates the need for manually updating price lists, and removes the guesswork and tedious manual processes, which often result in outdated, inaccurate estimates. Price transparency software should also include reporting features that give greater control over the process and can be agile in managing transparency initiatives as well as track potential versus actual collections. A price transparency tool should highlight a patient’s financial situation, as well as their propensity to pay, allowing you to optimize your collection strategies from the start and get patients on the right programs. To help reduce traffic to call centers, a price transparency tool should be integrated into consumer-facing estimates that are personalized and available through a web portal or mobile app. Price estimation can help with patient collections Through an automated, data-driven process, Blessing Health is now able to provide personalized patient estimates that are 80 percent to 90 percent accurate. (Inaccuracies result from unexpected tests or procedures.) As a result, Blessing Health benefited from a 58 percent increase in point-of-service patient collections. Based on the cost to implement these services, Blessing Health experienced a 1,200% return on investment. After realizing success on the hospital side, Blessing Health implemented Patient Estimates for their physician group as well. — Learn more about how you can empower the patient financial experience.

A recent Black Book survey of more than 500 healthcare networks revealed that hospitals in the U.S. have been painstakingly slow in adopting healthcare revenue cycle management (RCM) solutions. At the start of 2018, nearly 26 percent of hospitals had no viable solution in place, and 82 percent of them planned to make value-based reimbursement decisions without one.   For most hospitals, one of the biggest challenges in implementing RCM solutions is finding talent with the right skill set to handle RCM software difficulties. It’s a problem that even the largest healthcare delivery networks face and one that UCLA Health hospitals had to overcome. UCLA Health System Faculty Practice Group (UCLA FPG) employs more than 2,500 physicians with more than 220 primary and specialty practices.   Keeping up with payer contracts   In 2007, more than $4 million in revenue went uncollected at UCLA FPG. The group’s RCM pain points were typical of those in the industry. For example, the group was unable to keep track of over- and underpayments, which made it difficult to adhere to payer contracts. It was also difficult to manage appeals and track recovery as the volume of payer contracts grew and became increasingly more complex.   The difficulty UCLA FPG had in gathering and exporting information, in addition to the complexity and volume of contracts, left it with little negotiating power when dealing with payers. UCLA FPG's numbers continued to fluctuate until implementing Epic alongside Experian Health's Contract Manager.   Using this web-based solution, UCLA FPG has been able to automate and improve its revenue cycle due to the solution’s ability to continually monitor and update every payer contract. This has also helped the healthcare group stay compliant with all payer agreements by making it possible to catch errors faster.   Director of Revenue Integrity Measha Ford states: “We are able to catch Medicare overpayments faster with the contract management system. We recently integrated all our Medicare contracts into the system to have a lower risk of compliance issues since we only have 60 days to refund Medicare back once we identify an overpayment. Having this system, having that ability to load the contracts into the system to catch these potential risks, is very helpful.”   The UCLA network now has fewer administrative write-offs every year, faster AR collections, and reduced denials.   Experian Health's team maintains contract terms, fee schedules, and payment policies and makes sure every claim processed follows UCLA's contract terms. Online dashboards and reports help monitor reimbursement and reduce payment discrepancies through interactive graphs that expose source claim data and practice management system-specific data attributes.   Analyzing contracts before signing up   In addition to tracking and managing contracts, the group also knows exactly how a new contract or redefined contract terms will affect its bottom line. It has intel on real-world “what if” scenarios to provide insight into how various contract terms affect cash flow for the precise mix of services the group provides. It's also able to avoid unfavorable contract terms, as they are easily spotted through analysis.   Are health plans complying with your contract terms? Learn more about how we can help you find lost revenue with data-driven insight.  

Healthcare organizations have been forced to deal with billing challenges for so long that many might consider the struggle to simply be the price of doing business. Denied claims and contractual underpayments are regular occurrences in the payment cycle. And these issues can cause problems in the rest of the healthcare ecosystem when left unchecked. Fortunately, a robust claim scrubbing solution can reduce costs and speed up reimbursement. Healthcare billing costs can add up quickly. The estimated cost of billing- and insurance-related jobs at one large academic healthcare center ranged from $20 to $215 per patient visit, according to a study published in 2018. For years, the State of Franklin Healthcare Associates (SoFHA) was all too familiar with the challenges of the claims process. In 2010, the organization had to keep 12 full-time employees on its payroll devoted to the correction and resubmission of denied claims. When claims are denied, Crowe reports that it takes an average of 16.4 additional days for a hospital to receive payment. And those delayed payments are costly to healthcare organizations. Without the tools that enable a proactive approach, healthcare organizations' only option is to submit claims and then wait to correct the ones that are denied. SoFHA’s large network of 109 providers included a wide variety of specialties and services, from diagnostic imaging and internal medicine to OB/GYN and family practice. SoFHA needed a flexible presubmission claim scrubbing technology that would identify and correct errors before claims could be submitted. To overcome the obstacles in the claim submission process, SoFHA turned to Experian Health's Claim Scrubber. Claim Scrubber stood out to the group in two ways. The first was the price, as users pay a fixed monthly rate rather than pay for each transaction. The other highlight was the ability to build customized claim edits, which are available to all clients immediately when the tool is deployed. For Amanda Clear, SoFHA’s director of business services, that capability made all the difference. “With Claim Scrubber, I have the ability to go into the system and create my own edits,” Clear said. “Other systems either didn’t accommodate customized edits or required you to call, perhaps pay a fee, and go through a long process.” Plus, Claim Scrubber reduces demands on healthcare provider personnel because the tool comes with around 350 edits maintained by a dedicated content team. Payer-specific edits replace between 60 and 75 percent of an organization’s custom edits right away. Claim Scrubber ensures claims are correct and complete the first time they're submitted. Experian Health regularly updates its system with coding and payer changes. The tool adjusts for coding variances on claims submitted to Medicare, Medicaid, and private insurance companies. It reduces denials and drives down rebilling costs for healthcare organizations. With Claim Scrubber, SoFHA generated a clear return on investment, and the group was able to expedite accounts receivable by 13 percent. Perhaps even more telling was the reduction in full-time claim correction employees that accompanied the adoption of Claim Scrubber — a change that occurred in spite of a growing volume of claims. By auditing claims and spotting errors before submission, Claim Scrubber can ease the burden of claims denials and allow healthcare providers to instead focus on their job of providing the highest-quality patient care. --- Learn more about how we can help you ensure all claims are complete and accurate before submission to the appropriate payer or clearinghouse.  

The United States’ health system has become the most expensive in the developed world, and high administrative costs are a big factor. They account for more than 25 percent of spending on hospital care, making American healthcare administrative costs higher than any other country. Much of the problem comes from the complexities of payment. With public health programs, private insurers, and patients themselves all splitting the bill, it’s difficult for hospital administrators to determine who pays what in each situation. Especially during patient registration, they are bogged down by the time-consuming process of verifying patients’ eligibility for insurance and other programs. For these reasons, Martin Luther King, Jr. Community Hospital decided to focus on improving its patient registration process. The private nonprofit safety net hospital in South Los Angeles serves a high-need community and sees about 300 patients per day. Manually checking in all those people meant that MLKCH’s administrative team had an overwhelming workload. The hospital needed an integrated solution. Automation simplifies hospital patient registration The hospital’s staff was spending a significant amount of time checking different payer websites and making phone calls to determine each patient’s eligibility for insurance and various programs. Then, the benefits information had to be copied and pasted into the hospital’s non-integrated platform, which was another slow process that often resulted in inaccuracies. Quality assurance to find and correct those errors was a manual process, too, taking up more of the administrative team’s bandwidth. To free up resources and reduce errors, the hospital wanted to automate its verification processes, streamlining its registration, quality review, and more. MLKCH also needed its hospital patient registration software to work well with the Cerner system it already used. It decided to implement Experian Health’s eCare NEXT® platform. “We decided to use Experian Health’s software within Cerner versus a couple of the products we were looking at, at the same time, because it truly integrated within Cerner,” said Lori Westman, patient access manager at MLKCH. “When we presented this to our CFO, he liked the fact that it was integrated within Cerner; he didn't want us to have to go out to another third-party payer to pull information back. It's all about time and the time we can save on our registrations. That was the biggest selling point — the integration within Cerner and its seamless registrar on the back end. To the team, it's just another program they're working with in Cerner.” The software from Experian Health automates registration and financial clearance, among other patient access processes, which account for up to 80 percent of manual preregistration tasks. The system assesses patients quickly, replacing the information-gathering that staff has traditionally done. For MLKCH, which sees many returning patients, if a patient is already in the system at check-in, eCare NEXT pulls up his or her eligibility automatically when an administrator accesses the account. This saves several minutes, making it a notable patient registration process improvement. The system also eliminates a large portion of redundant tasks. When using the platform to check eligibility with one plan, eCare NEXT also searches for other applicable plans. For example, MLKCH treats a large Medicaid and managed care population, so checking a patient’s eligibility required visits to both the state’s and the health plan’s websites. But eCare NEXT will verify both automatically. Additionally, the fact that eCare NEXT integrated seamlessly with Cerner has improved the hospital’s patient registration process. Because the two platforms work together, patient data has become more accurate and the quality assurance process is less cumbersome. MLKCH was able to implement new QA standards after staff became familiar with the automation tool. The team also found that the enhanced data from eCare NEXT can shape user education and pinpoint areas for further improvements. And while there were some concerns that a new platform would take a long time to adopt, the rollout of the patient registration system was smoother than expected. The administrative team got a robust solution with exceptional support to ensure users have every resource they need. Ultimately, implementing an automation tool eliminated MLKCH’s most time-consuming registration tasks, allowing staff members to focus only on the tasks that needed their attention. This made their jobs easier and more efficient while also reducing training needs and improving compliance. The registration process became much faster. Automating preregistration tasks and eligibility verifications has also ensured MLKCH’s administrators have more accurate eligibility information. This integrates with Cerner to increase the quality of patient records. But the most important benefit of improving the patient registration process has been how it affects patients. These time savings get passed on to them in the form of quicker registration and less hassle proving eligibility. Using eCare NEXT has not only helped the hospital's administrators, but it has also allowed MLKCH to enhance patient service. Westman adds: “We get fewer denials because we're getting true verification data, and our patient volumes continue to increase. So the fact that we can take off two to three minutes, at least, on half of our registrations is speeding up the work for the team, and the turnaround time is much better for the patients.” Need to streamline your patient access department? Learn more or schedule a demo with us today.

Healthcare providers should be able to focus on what's important: their patients and the care they need. However, providers and their staff must spend much of their time on administrative tasks. A study by AMA Prior Authorization revealed that providers are spending two business days per week just completing prior authorizations. That doesn't even account for other administrative tasks. Meanwhile, providers rely on more payers and plans than ever before, which is often tied to their clinical performance, and patients are becoming increasingly more responsible for the cost of their care. This is leading to an increase in operating losses per physician of 17.5 percent of net revenue in 2017. Providers must prioritize their revenue cycle efficiency if they want to remain financially solvent in the ever-shifting healthcare field. To safeguard its revenue, Schneck Medical Center in Indiana, the only hospital serving four counties, wanted a way to optimize claims follow-up by identifying and targeting the claims needing attention as quickly as possible. This was especially important because an estimated 10 percent of the population lacks insurance and 13 percent lives in poverty in the primary county the medical center serves. Schneck's goals were to: Ensure denials did not exceed 3 percent of net patient revenue. Achieve the estimated total net preventable denials of $3.2 million or a 2 percent increase to operating margin. Reduce denials by confirming patient insurance eligibility, verifying medical necessity, and obtaining prior authorization when appropriate. Makenzie Smith, director of patient financial services at Schneck, said that industry pressures to reduce healthcare expenses and provide a better patient experience are what drove the healthcare organization to look at the revenue cycle technologies and processes it had in place. A better denials management system The denial management process can be cumbersome, especially for community hospitals like Schneck. It takes up too many resources and far too much time. Schneck was looking for better denial analysis reporting and automation software so it could more effectively manage denials and significantly increase collections. The organization's search led to Experian Health's automated approach to tracking the root causes of denials and identifying the trends in order to improve procedures. The software tool provided a comprehensive solution and allowed Schneck to optimize its claims workflow with remittance detail and analytics. It now helps the medical center identify denials, holds, suspends, and zero pays and uses electronic remittance advice and claim status transactions to identify appeals won or lost with payers. This allows Schneck to identify and target the claims that require immediate attention. The payoff With executive leadership buy-in and support, Schneck created a new, better process for claims denial management by: Reviewing preventable denials with customized queues in real time. Identifying directors with staff responsible for checking a patient's benefits and obtaining prior authorizations. Reviewing all denials over $500 in the revenue cycle department. Establishing a schedule for reviewing denials each month. Schneck's new streamlined process and real-time visibility into denials data has allowed staffers to work on denials more efficiently. The ability to link denials to a specific staff member in a specific department has further streamlined the process. The relationship between the front and back office has improved because both sides have achieved a better awareness of processes. With the right denial analysis and automation, healthcare organizations like Schneck can manage denials effectively and increase collections significantly.

There’s no doubt that identity theft is a concern for any industry that handles sensitive customer information; health care is no exception. In 2017 alone, the U.S. Department of Health and Human Services reported 477 healthcare breaches. Together, they compromised nearly 5.6 million patient records. Without adequate IT security, everything that organizations use to improve patient engagement and the continuum of care – especially patient portals – becomes an open door for hackers. But how do we keep patient data secure without burdening patients? We asked Victoria Dames, Experian’s senior director of identity management, how the healthcare industry is evolving to solve for identity theft, as well as best practices all healthcare organizations can adopt to better meet this growing threat. In the world of healthcare, both patients and providers are understandably hyper-sensitive about the exchange and security of healthcare data. How is the industry arming itself to protect data? Are there any shifts you’ve witnessed in security practices over the past few years? Absolutely! The industry has quickly evolved into leveraging technology to share data between organizations and with their patients, but this does bring inherit risk. Criminals also took notice to this shift, and medical identity theft became one of the fastest growing types of identity theft with a roughly 22 percent annual growth. With this evolution, the industry has tightened up on data access, especially as it pertains to the patient. Over the last five years, we’ve seen the shift to enable technology to help identity-proof patients before granting them access to sensitive information. This used to be a manual process. What are some of the best practices healthcare organizations can adopt to limit instances of medical identity theft? First, organizations must understand where their access points are throughout their ecosystems. With 64 percent of patients citing a privacy issue as a key concern for accessing health information online, they should inform patients that they’re providing secure methods for access to their information. Additionally, healthcare organizations must evaluate how physicians access different types of data and portals. As healthcare caught up to electronic records and systems, portals for e-prescribing also arrived. Given the nature of this use case, providing a heightened NIST level of identity proofing is required. The key is to assess what level of identity proofing is needed at each entry point to keep balance on security and the end-user experience. When you look to the future of healthcare, what types of digital technologies and solutions do you see providers putting in place to prevent fraud and protect patient data? Technology moves quickly and so do we. Identity proofing has seen an acceleration in the use of biometrics at different points of entry throughout healthcare organizations, which strengthens our solution. We are starting to see the use of biometrics, similar to your phone face ID, used more broadly through healthcare in conjunction with existing identity-proofing solutions. Experian achieved the Kantara Initiative certification with adherence to the latest guidelines achieving NIST 800-63-3 IAL2 (National Institute of Standards and Technology Special Publication Digital Identity Guidelines 800-63-3 for Identity Assurance Level 2 (IAL2)). This reinforces our commitment to support clients in authenticating consumers, while balancing a positive experience. Learn more about Experian’s identity management solutions.

It's no secret that claim denials cost healthcare organizations. They take about 16 more days to pay out than claims that have not been denied. On average, this delay in payment equates to one percent of a healthcare organization’s cost structure.   Final claim denials — or claims in which the payer never pays the provider — lowers a typical hospital’s annual net revenue by 1.9 percent. These tack on additional administrative costs because of the work it takes to close them.   The good news is that 76 percent of claim denials are eventually paid off — but the staff time it takes to get the payments can be costly.   Claims roadblocks   Experian Health recently worked with a large healthcare organization that manages more than 200,000 claims per month, which exceeds $1 billion in claims dollars. The organization has almost 50 hospitals in its network, as well as urgent care and cancer care centers, which creates a large number of transactions and claims to process. This includes Medicare, Medicaid, private insurance, worker's compensation, managed care, and more.   Before partnering with Experian Health, a number of errors were leading to denied claims, including discharge-not-final-billed errors, claims errors, stop bills, late charges, clearinghouse edits, and other factors that created roadblocks. But claims automation helped turn things around.   Automation reduces errors   Automation provides benefits to healthcare organizations and patients because it speeds up evaluation, ensures correct and timely billing, and reduces the number of manual touches needed for each claim.   According to the Council for Affordable Quality Healthcare, manual processes slow down claim reimbursement. People take an average of four minutes to process claims, but automation reduces this to three minutes.   Although a minute doesn't sound like much, it translates to thousands of hours saved for a healthcare organization that processes 200,000 claims each month. Automation also frees up time for billing teams to focus on more pressing tasks.   How organizations can benefit   By automating, this healthcare organization could ensure clean claims by utilizing an expansive library of national payer edits and implementing custom edits. This eased the follow-up process because teams had detailed insight into claims status, an analysis of denial reasons to efficiently process them, and automated workflow and payment posting to handle splits and contractual adjustments.   One of the biggest reasons this healthcare organization partnered with Experian Health was the ease of implementation with its medical records system, Epic. For example, ClaimSource easily loaded customized edits and the edits library into Epic, tracked and corrected claims, found and repaired issues with the system build, and created opportunities for cross-training and centralized reporting.   Long-lasting results   Through this automated process, the healthcare organization now has detailed insight into its claims management process and can monitor rejections data, review effectiveness, and find ideas for even more system automation.   Through its partnership with Experian Health, this healthcare organization has improved its claims metrics across the board. It improved its acceptance rate by 10 percent, and it became an Epic top performer for claims acceptance, averaging a 99 percent acceptance rate. It has also increased its clean, paid claims percentage by over 10 percent.   Start automating to streamline your claims process.

Chalk it up to the rise of high-deductible plans or decreasing payer reimbursements, but the numbers don’t lie: patients are footing more of their healthcare bills and hospitals are struggling to collect. In fact, a recent TripleTree report revealed there has been a 69 percent increase in consumer payments due to providers over the past four years. That same report also noted providers collect only 1/3 of patient balances larger than $200, with the balance being sent to collections or written off as bad debt. All this to say … collections can make or break a hospital. So, how are hospitals compromising on their collections game? Let us count the ways: 1. They treat all patients the same. Some patients may be able to cover all their care costs up front, while others need to spread out payments, or perhaps get help from a lender or charity. Logical, right? But for some reason, many hospitals take a one-size-fits-all-approach to their collections work. They’ll simply submit the bill, wait for payment and see what happens. If payment fails to come in after repeated attempts, they send the account to collections, and the agency often takes a similar approach. Scoring and segmenting patient accounts based on who has the propensity to pay –and directing them to the in-house or outsourced team most likely to collect – is a much more productive collections strategy. Even better, providers should try to determine what patients owe before a procedure, and reveal payment plan options from the start. By developing a means to estimate the cost of a patient's care, providers can deliver a figure to target for pre-operative, pre-procedure collection. 2. They lack an agency strategy. Just as hospitals can take one-size-fits-all approach with their patient collections, so too can be the case with their collections agencies. Some hospitals find themselves struggling with how to reconcile accounts placed with their agencies. Others are unhappy with their early- or late-stage collections vendor, but can’t quite pinpoint where it’s all going wrong. Advocate Aurora Healthcare, an operation with 27 hospitals and 500 outpatient locations, was trying to oversee 20 different collections agencies just a few years ago. They wanted to reduce the number of agencies doing their collections work, and gain a clearer understanding of who was performing best, but they lacked the data insights to evaluate. By tapping into a collections optimization platform, Advocate Aurora was able to reduce their agencies from 20 to four, and they started seeing double-digit increases in their patient collections. Routing accounts to the optimal collections resources, and using collection agencies judiciously, minimized their collection costs, and helped them stay focused on patients who can and will pay. 3. They rely on limited data sources. To create a truly effective collections strategy that is both predictive and insightful, hospitals need to rely on data sources that offer breadth and depth. Let’s consider an example. In the credit world, financial services companies can be looking at two consumers with identical credit scores and come to the conclusion that they should treat each the same. But with more data insights, a lender might see that one is trending up, making on-time payments that exceed the minimum balance, and the other is trending down, showing signs of payment distress. With historical data and other insights, the financial lender would likely treat each of those individuals differently. Agree? The same scenario can unfold in the healthcare space. If providers are solely looking at zip code data, or historical healthcare data, they will be challenged to offer personalized payment plans and decisions around how best to collect. Combining various data sources, including credit data, can provide hospitals with deeper insights into a patient’s propensity to pay and financial disposition. This allows healthcare organizations to identify the best financial pathway for each patient at, or before, the time of service, and will ultimately optimize their account receivable performance as well. --- By flipping the switch on a few of these strategies, hospitals can turn their patient collections game around. They’ll see gains in patient satisfaction, improvement in the accounts receivable bucket and the power data can have on segmentation. There’s really no excuse to fail.