Collections Optimization

Experian Health is pleased to announce that its Patient Estimates solution has joined the athenahealth® Marketplace, also known as  the More Disruption Please (MDP) program. Experian Health has participated in this program since the launch of the marketplace in 2013 (starting with our Contract Management offerings) and has worked with athenahealth to integrate its industry-leading capabilities into the organization’s growing network of more than 73,000 healthcare providers. Learn more about Experian Health’s Patient Estimates solution. Read the press release To learn more about athenahealth’s MDP program and partnership opportunities, please visit https://www.athenahealth.com/disruption.

Experian Health is pleased to announce that we went live with Patient Estimates at St. Clair Hospital located in Pittsburgh, PA on February 22, 2016. A true representation of vendor and hospital collaboration and commitment, the Patient Estimates cost transparency tool gives St. Clair a competitive edge as the first hospital in its region to offer patients cost estimates in advance. Patient Estimates is not a list of charges, but an interactive and user-friendly tool that provides information that is highly specific to the individual. Estimates are designed to determine, in advance, each patient’s out-of-pocket costs (deductibles, co-pays and co-insurance) for services at St. Clair based upon his/her insurance coverage. The estimates also incorporate St. Clair’s discounts for payment on the date of service and for those without insurance. The estimates remain in the system and can be recalled for future reference. Patient Estimates is simple to use and is conveniently available 24/7 at www.stclair.org. On the home page, patients will select the “Financial Tools” option, then click on Patient Estimates. They will then enter their health insurance information before choosing one of the 100 listed clinical services (e.g., a procedure, treatment or diagnostic test) from the drop-down menu. The tool then provides a customized estimate of their out-of-pocket expenses. Patient Estimates is designed to help insured and uninsured patients get clear, real-time, easy-to-understand cost estimates for St. Clair’s services so patients can make informed decisions about their care. Below are some of the press mentions of St. Clair Hospital's implementation of Patient Estimates: Pittsburgh TRIBLIVE https://bit.ly/1oxlKna Pittsburgh Post-Gazette: https://bit.ly/219dqfd Pittsburgh Business Times: https://bit.ly/1QWfqNa

In the “good old days,” U.S. healthcare was basically free – at least that’s what patients with a good insurance plan believed. You may have had a small co-pay, but if you were employed, chances were that you and your family received comprehensive health insurance that took a barely noticeable bite out of your paycheck. Fast forward to 2014, and that rosy picture is long gone. Changing reimbursement models are compounding the financial risk for healthcare providers by placing a greater payment burden on patients. For example, a growing number of employers are adopting high-deductible health plans (HDHP) and/or health savings accounts. The number of people with HDHPs has risen from 19.2 percent in 2008 to 33.4 percent in 2014, as reported by the Centers for Disease Control and Prevention. Out of necessity, providers are finding themselves in the collections business if they are to protect the bottom line. One of the best tools at their disposal to increase full and fair payment for healthcare services, and which has long been employed by collections agencies? Data and analytics. Real-time information and advanced data and analytics can help identify the most effective and customized collections approach based upon each patient’s financial situation. This data gives healthcare organizations the full picture of a patient, providing continuous monitoring of unpaid accounts for changes in a patient’s ability to pay. Obtaining and effectively leveraging that information is just one best practice for healthcare organizations seeking to enhance their collections methodologies. Additional must-have strategies include: Management of internal collections and agency performance with real-time dashboards and reports, and support evaluation and performance improvement.  Use of full-time revenue cycle consultants and data analysts, who work with each account to recommend “best practice” collections and outsourcing strategies, evaluate reports for opportunities and oversee champion/challenger scenarios.  Tools that help detect hidden or additional insurance coverage from Medicaid, Medicare and commercial accounts.  Creation of customized patient statements that go beyond traditional statements by facilitating financial counseling, education and greater patient engagement.  Simplified and streamlined payment processes by collecting patient open balances anywhere and at any time through eChecking, signature debit, credit, recurring billing, cash, check or money orders.  Times may be changing, but employing a well-coordinated, proactive approach to addressing the self-pay patient and capturing the balance after insurance has paid doesn’t have to be challenging. Learn how Experian Health and Passport’s patient collections tools work together to help you obtain payment certainty even with today’s new reimbursement models, by combining unmatched insight, real-time data and innovative collections solutions.

Meet Joe—a patient who is walking into a healthcare office, terrified of the news he might hear. He is confused and overwhelmed, not sure of where to turn for help. Joe isn’t entering a doctor’s exam room – he is actually walking into a hospital’s patient registration area, waiting to receive information about how much his procedure is going to cost. Although anxious about the procedure, Joe is even more concerned about its impact on the family budget, unsure of his insurance co-payment or what will be covered. He’s worried that he can’t afford to pay a large bill in one payment. His interactions with the registration staff over the next few minutes will set the stage for the remainder of his experience with the hospital. Now, let’s say the hospital realizes the value of having caring and compassionate financial conversations with patients at the start of the patient visit. Patient access staff quickly become the patient’s advocate while also improving the organization’s ability to collect from the patient and payer. In this instance, leveraging a data-driven approach allows staff to verify Joe’s identity and insurance coverage as well as provide an accurate estimate of his payment responsibility. The staff even can review data to assess his ability to pay and evaluate various payment plan and/or financial assistance options. Even after Joe is discharged, the hospital continues to employ a patient-centered approach to collections, using patient financial data to segment accounts that share demographic and financial profiles, rather than simply looking at balance amounts and number of days open. Joe’s financial data places his in the “most likely to pay” segment, indicating that he would not receive a payment follow up call until (for example) day 75 instead of the traditional call on day 45. This not only saves staff time and increases successful collections, it also preserves Joe’s satisfaction by eliminating unnecessary phone calls when he is likely to pay. Joe expected the hospital’s clinical staff to be responsive to his medical needs. When he found that the revenue cycle team was equally attentive to his financial needs, his satisfaction with the entire experience grew exponentially. It was fueled by a positive encounter that eased his mind about payment and allowed his to focus on his health. Using this proactive, personalized approach, the revenue cycle team had a major impact on both Joe’s experience and the bottom line. What is your healthcare organization doing to enhance the patient experience? Comment below to share some of your best practices.

Remember those commercials for the hamburger chain in the mid-1980’s? An elderly lady angrily shouted, “Where’s the beef?” in response to seeing a tiny burger on a large, fluffy bun. If that same creative concept were applied to healthcare today, perhaps the lady would proclaim, “Where’s the data?” when looking at the revenue cycle. While healthcare as a whole is moving toward using clinical data and analytics to enhance patient care, most organizations aren’t realizing the true potential of financial data to drive revenue cycle performance. So where does that potential lie? Quite simply, it lies in the vast amounts of financial data that healthcare organizations can access, yet do so ineffectively. By leveraging this existing data more appropriately, organizations can build and sustain margins while improving performance and enhancing the patient experience. Consider these three areas of opportunity to use data to drive the revenue cycle. Patient Access Correctly capturing and analyzing patient data at the initial point of contact allows an organization to reap large rewards, both clinically and financially. For example, correct patient identification reduces the risks of fraud and identity theft and ensures that medical records are being provided for the right patient, thus preserving patient safety. In addition, using data to provide accurate estimates of the patient’s payment responsibility up front and developing customized payment plans can elevate patient satisfaction as well as propensity to pay, allowing the healthcare organization to enhance collections and reduce bad debt. Claims and Contract Management Another area of opportunity is in payer contracts and claims. During contract negotiations, data and analytics help identify new service line opportunities for enhanced financial performance. Claims are more accurate and efficient when analytical tools review them before submission, comparing them with contract requirements and kicking out those with errors or ones that require further information. Consider the example of a healthcare organization that improved its recovery rate on denials by almost 50 percent by leveraging data to compare the amount received for the claim with the contracted amount. Collections Data and analytics also can be used to improve internal collections efficiency and profitability. Organizations can use data to segment accounts that share demographic and financial profiles, rather than simply looking at balance amounts and number of days open. This allows collections staff to prioritize work based on a patient’s likelihood to pay, which improves both collections and the patient experience. For example, a patient scoring in the “most likely to pay” segment may not need a call until day 75, while someone in a lower segment may need additional calls and help setting up a payment plan within the first month. Segmenting in this way not only increases the likelihood of successful payment, it preserves patient satisfaction at the same time. Realize your revenue cycle’s true potential by leveraging financial information to enhance performance. Moreover, marry these activities with efforts to use clinical data to improve care, and you can realize a comprehensive approach to elevating overall quality and performance. You’ll no longer need to ask, “where’s the data?” Learn more about leveraging data and analytics to drive the revenue cycle with this white paper: The new revenue cycle imperative: A data-driven approach to minimizing risk and optimizing performance.

Sometimes it’s all in the cards. And, in the end, it’s usually not a winning hand for the healthcare organization. In this case, the “card” is the patient’s insurance coverage and the “hand” is the increasing amount of bad debt that can be avoided. For example, a patient presents his or her insurance card at registration. The patient’s employer recently changed plans, and the patient mistakenly pulls out the card for the old plan. The claim is processed using the expired insurance information, and the payer rejects it and reclassifies the account as self-pay. After a time, the account goes to collections, and the patient is sent letters and receives collections calls. Both are ignored because the patient has coverage and assumes the provider simply made a mistake. Unable to resolve the issue, the provider ultimately writes the account off as bad debt. When accounts like this one are misidentified, the healthcare organization loses revenue, time and patient satisfaction. Misclassifying accounts can happen because of registration errors, changing insurance or patient miscommunication. When an account is misclassified, it increases the likelihood the account will turn into bad debt, especially when the account is misclassified as self-pay. Even when caught during the collection process, misclassification errors can impact A/R days, payment speed and cash flow. So, how do you play your cards right? Using the most up-to-date payer data, healthcare organizations can systemically search for current commercial, Medicare and Medicaid insurance coverage. An automated process reveals and prioritizes potential active coverage, allowing staff to rectify any mistakes and file claims in a timely manner. Staff can even proactively identify and correct routine data entry errors, such as incorrect birth dates or transposed Social Security numbers, before the claim is submitted. While the organization improves cash flow and productivity, there also are patient benefits. Using data to identify the right insurance coverage upfront makes patient interactions more efficient. In addition, reduced payment misunderstandings and unnecessary collections calls drive overall patient satisfaction. Curious about how your organization can have a winning collections hand? Use data and analytics to improve the accuracy of upfront business processes and enhance the patient experience. Learn about one of our newest products, Self-Pay Coverage Finder℠, and see how automating the search for insurance coverage can positively impact your organization’s bottom line and the patient’s experience.

There’s a knock on the door, and it’s “big data.” The promise of Big Data is redefining patient care, becoming the norm in clinical settings as it drives clinical pathways and care decisions. But it’s now time to broaden healthcare’s perception of Big Data to show how healthcare organizations can open the door to other possibilities where it can have a dramatic impact on financial performance. The key opportunity centers on making sedentary data within your organization’s four walls actionable, especially when combined with other valuable data such as credit information, to improve financial performance, patient safety and patient satisfaction. Although there are many benefits to leveraging data in this way, there are three that rise to the top. Who knew the revenue cycle and patient access would be a first line of defense for patient care? A significant, yet often underappreciated benefit of a data-driven revenue cycle is improved patient safety. Identity theft and fraud are decreased by properly identifying the patient at the outset of the healthcare experience. This proactive approach can also ensure healthcare organizations treat the correct patient and avoid the risks associated with misidentification. It’s all about upfront payment whenever possible. The back end of the revenue cycle is shifting to the front — while nothing new, it’s an increasing reality dependent on important data points. Verifying benefits, eligibility and propensity to pay before the patient arrives or in real time at registration not only improves patient-provider interactions, it also allows the registrar, and other patient access professionals, to better understand the patient’s unique financial situation and engage in appropriate and tailored financial counseling discussions. While some processes remain on the back end, it’s really about having a clear understanding of the patient’s financial picture upfront. Collecting with compassion, and for the bottom line. Finally, collections become less about randomly tracking down payments and more about compassionate customer service and targeted process improvement by scoring and segmenting patient accounts. Data and analytics improve collections efficiency and profitability by streamlining processes and proactively assessing and responding to each patient’s unique situation, whether providing a customized payment plan or identifying charity care for a patient in need. And, robust data points on collections agency performance provide insight into which agencies are delivering the most return on which accounts, as well as where agency consolidation or internal support will yield stronger collections results. Big data has transformed clinical care. Now, it’s time to apply the same data-driven approach to mitigate financial risk and enhance the bottom line. Isn’t it time to answer that knock on your revenue cycle door?