Collections Optimization

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?