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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.

Americans who do not currently receive health insurance through their employers or a government program such as Medicaid or Medicare are now required to obtain insurance coverage or pay a penalty tax per the Affordable Care Act’s individual health insurance coverage mandate. These consumers can go to newly created health insurance exchanges (HIX) — offered through the state or federal government, depending on where an individual lives — to enroll in a private insurance plan. It’s definitely a patient-driven process. So, how can healthcare organizations help? They can take advantage of this opportunity to improve the patient experience by connecting patients with much-needed insurance, while simultaneously mitigating patient payment risk. Today’s patients want to be armed with as much information as possible. With this new initiative, healthcare providers can help patients navigate the various options offered through the exchanges by calculating how much patients might spend on insurance and by providing a comparison of plan benefits. However, it’s important for healthcare organizations to take this process a step further by screening patients to determine if they qualify for federal subsidies and beginning the enrollment process. Assisting patients in this way not only improves the patient experience, but also benefits the hospital by getting more patients enrolled with insurance, ultimately leading to higher reimbursement for services provided. That leads to the next likely question: how can healthcare organizations successfully aid in this process? Solutions powered by data and analytics are the key. By using a data-driven approach to HIX screening and enrollment, an organization can identify patients that meet the income criteria for subsidy payments and tax credits, and automate the enrollment process by prepopulating the state’s HIX application form. In much the same way that data is used to screen for various financial assistance programs such as Medicaid or charity care, HIX screening uses key information about a patient’s unique financial situation to accurately determine if the patient qualifies for subsidies to help them pay for their insurance. Interested in learning how you can improve the patient experience when it comes to insurance coverage? Check out our newest product, HIX Screening and Enrollment, and see how it can help support your patients as they begin to navigate the new aspects of healthcare reform.

We live in a choice-based society. Every day we are at liberty to make a myriad of choices. like where we live, where our kids go to school, what to eat, whether to exercise, which car we drive or what movie to see. This era of consumerism also means we have choices for healthcare. And since patients now have greater financial responsibility for their healthcare, they are becoming more selective about where they go to receive medical attention, looking not only for high quality but also positive, cost-effective and informative interactions. As patients become choosier, healthcare organizations must improve their commitment to being good stewards of the care experience. To help make things more manageable, many healthcare organizations are turning or already have turned to payment plans to become more patient centric. To that end, industry estimates point to around payment plans being leveraged for one in five outstanding patient accounts, and use of these tools has grown by more than 50 percent in some organizations. While this information may not be news to you, the crux of this approach is that all too often payment plans take “a one size fits all” approach, following a generic formula for all patients without regard to payment history, demographic information or other key financial data. The result? Default rates between 40-60 percent, defeating the overarching goal of reducing patient bad debt. All is not lost! With a data-driven approach to developing patient payment plans, healthcare organizations avoid the common pitfall with a win-win for both patient and organization. By using technology to analyze key information about a patient’s financial situation, an organization can accurately anticipate a patient’s propensity to pay. The technology can then review this information, along with other financial data and organizational policies — such as minimum payment amounts — and generate personalized payment plans that offer optimal terms and amounts. Taking a data-driven approach is a way to extend your organization’s commitment to compassionate care to the billing and collections process. Embracing this method allows business office staff to be responsive to the patient’s unique financial situation, just as the clinical staff is responsive to a patient’s medical status. Leveraging data to develop the optimal patient payment plan helps set the stage for a positive interaction, boosting patient satisfaction and ensuring patients choose your organization as their long-term healthcare destination. Not only does this improve the patient experience, but healthcare organizations are also better able to collect optimal payment in a timely fashion, knowing what each patient can safely afford. Want to learn more about how to develop personalized payment plans that meet the unique needs of patients? We’d be happy to help. Check out our latest product addition, Payment Plan Advisor℠.