First Pst after migration to Cloud in Health care Blog

Finding previously unidentified insurance coverage is a high-stakes treasure hunt for healthcare providers. If patients are unaware of active coverage or eligibility for Medicare and Medicaid, they will be left footing a bill that could have been covered by a payer. If they can't afford it, their account may end up being written off to bad debt, and providers will miss out on reimbursement opportunities, leaving millions of revenue dollars on the table. Hunting down missing or forgotten coverage on the spot is a challenge for providers, particularly if the patient does not have a Social Security Numbers (SSN) or the payers in question do not use SSNs to verify eligibility. It's a problem worth solving though and can improve the patient financial experience while preventing avoidable revenue loss. The shift away from Social Security Numbers Historically, providers have used demographic information like Social Security Numbers (SSN) to verify patient identities and locate coverage information. Without a unique patient identifier, SSNs were a stable way to link a person's health information across multiple health systems and payers. However, the use of SSNs for identification and verification purposes has dropped in recent years due to concerns about patient privacy and the risk of identity theft: SSNs give identity thieves a mechanism to assume a person's identity and access financial information and health records illegally. Moreover, SSNs are unreliable identifiers, as it is possible for more than one person to use the same number. Recognizing the need for more secure and trustworthy identifiers, many payers have moved away from SSNs. In 2018, the Centers for Medicare & Medicaid Services began the process to remove SSN-based Health Insurance Claim Numbers (HICNs) from Medicare cards, replacing them with Medicare Beneficiary Identifiers (MBIs). These are now the primary means of checking a person's identity for Medicare transactions like billing, eligibility status and claim status. Similarly, many health plans also shifted away from using SSNs as primary identifiers, instead opting for member IDs or other secure identifiers to verify and track coverage for their members. Find billable coverage with historical data With demographic searches on the decline, providers need a more efficient and reliable way to search for coverage. As a data-driven company with a historical repository of claims data, Experian Health is uniquely positioned to help providers search for coverage. Combining search best practices, multiple proprietary databases and historical information, Experian Health's Coverage Discovery® locates patients' billable commercial insurances that were unknown or forgotten, and combs through Medicare and Medicaid coverage. This flags accounts that may have been destined as a write-off or charity and maximizes reimbursement revenue by identifying primary, secondary and tertiary coverage. Not only do fewer accounts go to bad-debt collections, but providers can automate the self-pay scrubbing process. In 2022, Coverage Discovery tracked down billable coverage in almost 30% of self-pay accounts and found more than $64.6 billion in corresponding charges. Closing the coverage gap caused by Medicaid disenrollment Coverage Discovery offers another important benefit: helping providers offer additional support to patients on lower incomes who find themselves without Medicaid, at least for a short time, following the end of continuous enrollment. As of July 2023, more than 1.6 million Medicaid enrollees were disenrolled. Providers can use the tool to confirm whether Medicaid coverage remains in place, or to uncover any additional billable government or commercial insurance that could give patients peace of mind. Patient Financial Clearance can also help screen patients for Medicaid eligibility before or at the point of service, then route them to the Medicaid Enrollment team or auto-enroll them in charity care if appropriate. Case study: Read the case study to find out how Luminis Health used Coverage Discovery to locate $240k in billable coverage each month. Leverage technology to locate unidentified coverage Thanks to advanced tools like Coverage Discovery and Patient Financial Clearance, it's much easier for providers to locate alternative coverage options for patients, using multiple sources of data. These tools leverage secure identifiers and comprehensive searches across databases, allowing providers to reclaim revenue that may otherwise go unclaimed, and reassuring patients that they won't be left holding an unexpected bill. Find out more about how Coverage Discovery can help find previously unidentified coverage and reduce bad debt.

Too often, resource pressures force providers to treat revenue cycle management as a reactive process. But with avoidable denials leaving thousands of dollars on the table, fixing problems after the fact is often a more expensive strategy. Investing in prevention on the front end can help providers minimize the risk of future revenue loss. This article looks at how providers can use automated prior authorizations to drive front-end revenue cycle growth, and fix revenue leaks before the denial dam bursts. Understanding the front-end of the revenue cycle Revenue cycle management includes all the activities involved in making sure hospitals and health systems get paid for their services. The front end of the revenue cycle includes the non-clinical processes that take place before a patient receives care, broadly referred to as 'patient access.' This can be broken into four stages: Scheduling and registering for care, including checking all patient information is current and correct Verification of insurance eligibility and benefits, to ensure planned services will be covered by the patient's plan Obtaining prior authorizations, to prevent claim denials Collection of co-pays and deductibles from patients before or at the point of service. Billing and claims management workflows must be set up so patients, payers and front- and back-office teams can share the information needed to expedite reimbursement. Accuracy and efficiency are essential at each stage of the front-end of the revenue cycle to prevent bottlenecks, errors and delays down the line. The longer errors lurk in the workflow, the more opportunities they have to damage the health system's financials. Front-end errors lead to denied claims later and more work for back-end staff Prior authorizations are a prime example: failure to secure the correct authorizations for treatment or services ahead of time can result in claims being rejected by payers. Time-consuming rework compounds the loss with hefty staffing and outsourcing bills. By the time the provider gets the amended paperwork in order, they've lost all leverage with the payer. It's a major concern as denial rates increase. Here are a few common prior authorization pitfalls to watch out for: The patient provides incorrect insurance information, which means the provider may fail to seek authorization from the right payer Inefficient operations and poorly defined processes allow inconsistencies and admin errors, such as wrong billing codes or misspelled names, to pass through the system undetected Frequent changes to payer requirements can be missed, so providers are working with outdated information Authorizations aren't obtained for the patient's entire treatment plan, leading to rework and treatment delays. A survey by the Association for Clinical Oncology found that 96% of respondents had seen a patient's care delayed because of prior authorization issues. Beyond these worrying harms to patients, the survey also revealed that 47% of practices spent more than 40 hours a week dealing with authorizations. Exploring solutions that will speed up prior authorizations can mitigate or eliminate these errors and delays. Front-end revenue growth starts with efficient prior authorizations As one of the top three reasons for denials given by providers in the State of Claims 2022 survey, prior authorizations are a logical target for front-end improvements. Prior authorization software helps providers get ahead of the above pitfalls by flagging authorization requirements early. Patient access teams can detect and resolve potential errors before they escalate, reducing the risk of rejected claims and appeals. Neeraj Joshi, Director of Product Management, at Experian Health, says that one of the big struggles for healthcare providers is that the prior authorization process is often still manual: “Automation has gained traction in many tasks within the revenue cycle, from patient access to claims management, but shifting to automated prior authorizations could offer one of the biggest returns on investment. Manual authorizations are time-consuming, error-prone and, all too often, a source of miscommunication. Shifting to automated authorization management can eliminate these obstacles and fuel revenue growth.” Experian Health's online prior authorizations solution automates 100% of inquiries, saving valuable staff time. Status checks happen without user intervention. Patient and payer data is auto-filled automatically, and users are guided through the workflow and prompted to make manual interventions only when absolutely necessary. Users can have confidence in the accuracy of the pre-filled data because the tool taps into Experian Health's Knowledgebase, which stores and updates national payer requirements in real-time. Users can also customize local and community rules, so no requirements slip through the net. By reducing costly denials and lowering labor costs, these set the stage for sustainable growth throughout the rest of the revenue cycle. How online prior authorizations can improve end-to-end revenue management Obtaining prior authorizations more efficiently is just the first step toward building a thriving revenue cycle. The promise of fewer denials might steal the headlines, but the benefits of automation resonate throughout downstream processes. For example, an automated online system enhances wider pre-registration processes by giving staff real-time visibility into the likelihood of a treatment being authorized. Staff can verify approval instantly, rather than turning patients away at check-in. This also makes it easier to generate accurate, upfront estimates of what the patient will owe, so they can plan for their own financial obligations. A positive patient experience can lead to faster patient collections and higher retention rates, which both boost revenue growth in the long run. Another ripple effect comes from the early verification of patient and payer information. These processes can surface data errors that, if left unchecked, could impede effective claims and billing workflows. This shows how a single authorization can have an outsized effect on overall revenue management performance – and why it's so important to get authorizations right the first time. Front-end efficiencies lead to a more predictable revenue cycle Providers that choose to use prior authorization software can amplify the benefits by integrating it with other online and automated solutions. Experian Health's prior authorizations tool fits seamlessly with the eCare NEXT® revenue cycle suite, which automates the entire revenue cycle workflow from insurance eligibility verification to secure patient payments. The interoperability of these tools means data can be shared from one system to another with ease, and reports can be generated and viewed on a single dashboard. With better data and analytics, users can make better predictions about their revenue cycle performance and find opportunities for further improvements. Similarly, providers can leverage the predictive power of analytics with AI-based technology. Experian Health's new AI-driven claims management solution, AI Advantage™, uses AI to predict claims that are likely to be denied, based on historical payment patterns. It checks for any undocumented payer adjudication rules, including prior authorization requirements, to make sure no essential information is missing before the claim is submitted. In a recent webinar on the future of claims management, Skylar Earley from Schneck Medical Center shared his experience with the new technology. He attributes the tool's success to its ability to make increasingly accurate predictions: “Since implementing this technology, we're continuing to see AR days decrease at our organization. One result that we're really excited about is seeing the number of authorized outpatient visits increase by about 2.5%. For anyone that deals with prior authorizations and denials related to prior authorizations, this is incredibly promising.” As authorization requirements increase in volume and complexity, providers need to be proactive in their response. Automation and digital technology can arm providers with the data and tools they need to speed up prior authorizations and drive revenue growth from step one in the revenue cycle. Find out more about how prior authorization software can support efficient front-end revenue cycle processes by creating opportunities to maximize cash flow from the start.

Payers are using automation to adjudicate healthcare claims at scale, leaving providers struggling to keep up. One major insurer was found to have denied over 300,000 claims in two months, with each one taking an average of just 1.2 seconds. Providers that continue to rely on manual claims management methods will see their margins squeezed as the denials challenge grows. The future of healthcare claims management is here – and the answer lies in artificial intelligence (AI). Providers can level the playing field by turning to AI and automation , using tools like AI Advantage™ to streamline healthcare claims management. This article summarizes a recent webinar with two early adopters, Eric Eckhart of Community Regional Medical Center (Fresno) and Skylar Earley of Schneck Medical Center, who are using the technology to prevent denials and increase collections. Small increases in claim denials can lead to major revenue loss Makenzie Smith, Product Manager for AI Advantage at Experian Health, set the stage with observations on the current state of claims management. She notes that one of the biggest challenges when it comes to denials is constantly shifting payer behavior: “So many payer decisions are now being driven by artificial intelligence. Insurers are reviewing and denying at scale using intelligent logic, leaving providers fighting harder for every dollar.” Two hypothetical scenarios illustrate the potential impact of just a 2% increase in denials, assuming other variables remained constant: In an organization with a gross patient revenue (GPR) of $500m, an increase in denials from 10% to 12% could squeeze operational margins from 3% to 2.6%, resulting in a drop in net income from $15m to $13m. In an organization with a GPR of $2000m, an increase in denials from 18% to 20% could wipe out a 0.35% margin completely, causing net income to fall from $7m to 0. Some providers are choosing to stick with their existing processes; changing course seems too risky within thin margins. But as Eric Eckhart points out, “the just-work-harder approach doesn't work anymore.” Providers need a more efficient way to sustain operating margins. How AI Advantage helps reduce denial volume and improve net collections AI technology is emerging as a better alternative to the status quo. By using automation and AI, providers can gain insights into their claims and denial data, resulting in improved financial performance, greater efficiency and improve the future of healthcare claims management. AI Advantage™ – Predictive Denials uses AI to identify claims with a high likelihood of denial based on an organization's historical payment data. This allows staff to intervene prior to claim submission. It identifies undocumented payer adjudication rules that result in new denials. It works within Experian Health's ClaimSource® solution to proactively flag at-risk claims, allowing teams to review them within their existing claims workflow. Key takeaways from 2 real-world examples of AI in healthcare claims management Eckhart and Earley share how they are approaching denial prevention in today's fast-changing claims environment. Below are the key takeaways from their conversation about how AI is helping to optimize reimbursement and support their teams: Providers need to move beyond the “just work harder” approach to claims management Eckhart says that staffing challenges were a major driver of his organization's early adoption of AI Advantage, as it became harder to manage the increasing rate of denials with existing resources: “I think we've all tried the “let's work very hard approach” and worked overtime for months on end, but that's just not a long-term solution. We were looking for something technology-based to help us bring down denials and stay ahead of staff expenses. We're very happy with [AI Advantage] and the results we're seeing now.” Skylar Earley agrees, saying that despite their efforts, the rate of denials stayed the same. “It's so important for us to reduce denials because costs are increasing, reimbursements are decreasing, payments are shrinking. In our smaller community, there are only so many ways to grow revenue. We've got to maximize reimbursement, however we can.” Discover how Schneck Medical Center used AI to prevent claim denials.   Seamless integration with ClaimSource® was key to staff adoption While senior leadership teams may have been on board with testing the new technology, staff members were more hesitant about the potential pitfalls of introducing a new tool. Eckhart says, “Experian were already processing our claims through Claim Scrubber, so the workflow was essentially the same. I got some pushback when I said it was AI. I think the biggest fear for my billers was that they were going to get 5000 alerts that they would have to override and ignore. But we phased it in slowly and that was a good approach.” Earley agrees: “This is probably one of the most seamless products I've seen: it's entirely in ClaimSource®. If you didn't know about it, you wouldn't know it was there. The people using the product don't toggle back and forth between screens, they don't run reports to view alerts. The product shows them what claims they need to look at.” The predictive model gives staff their time back – so savings snowball For both organizations, a big win from AI Advantage was being able to reduce denials so staff could focus on other tasks. Making better use of staff time is increasingly urgent as the growth in denied claims outpaces recruitment. Eckhart says that over the last six months, his team have saved 30 hours a month in collector time. “Now I have almost a whole week a month of staff time back, and I can put that on other things. I can pull that back from outsourcing to other follow-up vendors and bring that in house and save money. The savings have snowballed. That's really been the biggest financial impact.” Reducing denials with accurate predictions Eckhart and Earley report that the success of the tool comes down to the accuracy of predictions, and the fact that it uses their own data. This applies to claims submitted to commercial and government payers, including prior authorizations. For example, Schneck Medical Center is seeing an ongoing reduction in AR days, while the number of authorized outpatient visits has increased by around 2.5% since implementing the technology. In addition to improving claims management processes, AI Advantage also helps root out persistent payer errors. Eckhart says that while denials teams tend to focus on high value claims, smaller payers can sometimes make erroneous denials that add up over time. The tool brings this to light so providers can raise it with the payer and fix it going forward. The future of healthcare claims management is here Ultimately, every prevented denial means more dollars coming back to the provider, increasing their capacity to deliver high quality services. Revenue growth makes it possible to recruit more staff, reduce outsourcing, increase capital purchases, introduce new service lines, and even explore merger and acquisition strategies. Payers are already making strides in their use of AI technology and automation, but with AI Advantage, providers can process accurate claims and reduce denials at a scale and pace to match. Find out more about how AI Advantage™ is changing the future of healthcare claims management and watch the webinar to hear the full conversation on 'The Future of Claims Management. Today.'