There aren’t too many situations in which an individual purchases a product or service, but is NOT asked to pay for it right away. Healthcare, however, is somewhat unique in that regard, often avoiding a retail-based experience where patients receive service, but pay quite some time later, whether in full or the balance. Not surprisingly, this approach often times adversely impacts healthcare organizations in many ways. Best-case scenario, patient payments, while unpredictable, are received, but not in a timely manner and after a good deal of effort on the collections staff’s part. Worst-case scenario, the organization is left holding the proverbial bag, forced to write off bad debt, when payment could have been received if handled differently. In between, there are poor cash collections, increased revenue cycle costs and lower patient satisfaction. Organizations can avoid this perfect storm with a more precise approach to optimizing patient revenue. By leveraging tools that empower and improve upfront financial counseling communication, healthcare organizations stay one step ahead by accurately predicting patient responsibility payments and enhancing pre-service collections. When fueled by data and analytics, these tools offer a powerful two-pronged approach to minimizing risk and driving revenue: Avoid patient payment delays. Without knowing what insurance companies allow, many providers postpone collections until payer reimbursement is received. Healthcare organizations should instead have access to the latest contract terms, payment rules and fee schedules in order to identify patient and payer responsibility much earlier in the revenue cycle. Increase time-of-service collections. By proactively using patient payment data and current payer contract terms to calculate the amount owed by the patient at the time of service, organizations can effectively collect either a portion or all of that payment upfront. In the end, data-driven estimates of patient payment responsibility allow healthcare organizations to capture more revenue at the right time and boost cash flow. An added bonus is enhanced patient satisfaction because there are no confusing bills or ongoing collections calls, enabling a more personal experience for the patient. Hospitals have an opportunity to use data and analytics to improve the revenue stream and patient satisfaction. Learn about how Experian Healthcare Patient Responsibility Pricer can improve your collections on the front end of the revenue cycle and enhance the overall the patient experience.
We encounter gatekeepers every day, ranging from TSA agents at the airport and call-center operators for online retailers to office receptionists and hotel front desk staff. Gatekeepers have a tough job as they manage access, filter information, provide advice and maintain order. Their attitude and actions dramatically impact our experience as consumers. The healthcare industry must shift from a patient focus to a consumer focus — and it all starts with patient access. Patient access staff act as the frontline — the gatekeepers — as they gather critical patient information at the start of the patient visit and set the stage for the remainder of the encounter. They’re moving beyond simply performing routine registration tasks and collecting co-payments to engaging in a holistic approach to patient interactions. As a result, these critical staff members can create and facilitate compassionate financial discussions while handling revenue-related activities such as pre-service collections. It’s no small task, nor one that can be done without data and analytics. For example, staff can use tools driven by data and analytics to verify patient identity, which prevents fraud and identity theft and results in more accurate registration. Moreover, after reviewing insurance eligibility, patient access staff can leverage data and analytics to create accurate patient payment estimates, review data to assess a patient’s ability to pay and evaluate financial options. The bottom line impact creates a positive environment for financial discussions and improves collections on the front end, while reducing the likelihood of collections calls and bad debt on the back end. Patients benefit in that they gain a sense of confidence — and oftentimes relief — because they know where they stand financially and can focus their energy and attention on getting well. The time is right to establish patient access staff as gatekeepers of the patient experience by equipping them with knowledge and tools to empower them to improve the revenue stream and patient satisfaction.
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.
