First Pst after migration to Cloud in Health care Blog

Claims denials are a major source of headaches for healthcare organizations. On average, denied claims can take more than two weeks longer to pay out than first-time claims, if they get paid at all. Denials can have major downstream impacts, including lower annual net revenue, additional hours spent on administrative work, and potential disruptions to patient care. Claims denials aren’t just an occasional inconvenience, either. A recent American Hospital Association (AHA) survey found that 89% of all hospitals and health systems have seen a rise in denials over the past three years, with half of the participants describing the increase as “significant.” Data from Healthcare.gov confirms this trend. The Kaiser Family Foundation (KFF) states that in 2019, health plans available on the individual market denied an average of 17% of all claims – up from 14% the year before. It’s becoming more critical than ever for healthcare organizations to employ integrated, intuitive, and technology-driven strategies to get their claims paid in a timely and efficient manner. Reduce claim denials by eliminating administrative errors and manual processes Health plans can deny claims for any number of reasons. The good news is that in 2019, KFF found that less than 1% of claims were denied based on medical necessity. The bad news is that the remaining 99% were denied largely due to other reasons. This included referrals, prior authorizations, coverage disputes, data errors, and clearinghouse problems. Many claims denial issues occur when organizations rely on manual processing of complex documents that are subject to ever-changing requirements from a wide variety of payers. Mistakes are not uncommon, and that ends up costing time and money. Smart, intuitive claims management workflows that take advantage of automation technology can augment staff resources and reduce the likelihood of errors. Automation contributes to clean and accurate claims the first time around. According to the Council for Affordable Quality Healthcare (CAQH), manual processing can take an average of four minutes per claim. Automation cuts this time by 25%, bringing the total time per claim down to just three minutes. This might not seem like a lot in isolation; however, it becomes more material when the time savings is applied to a large, multi-hospital health system that partnered with Experian Health to revamp its claims processes. The health system gets through 200,000 claims per month. That could translate into 200,000 minutes saved – or more than 3,300 hours – every 30 days. Amidst the staffing shortages that are persistent in healthcare, those numbers are significant. For providers of all sizes, the right automation tools use an expansive library of national payer edits, supplemented by custom edits, to ensure that claims are clean before they get out the door. These tools can also organize and prioritize accounts to help staff members use their time most efficiently. If a claim does have an issue, organizations can use additional technologies to stay one step ahead of the denials process. Enhanced claim status monitoring can give providers insight into potential problems long before the ERA and Explanation of Benefits are processed. This allows organizations to address known issues and predict their revenue cycle outcomes earlier and more accurately. Automation can also help providers slash even more time off the claims management process. The Council for Affordable Quality Healthcare (CAQH) estimates that it takes between 14 and 30 minutes to complete a manual claims status inquiry. Automated status monitoring can potentially shave 9 minutes off this task, freeing up staff to complete other tasks. There’s still plenty of options when claims do get denied. Providers can complement their claims capabilities with denials workflow management tools that can generate customized worklists, highlight ANSI reason codes and payer proprietary codes, and identify payer-specific denial trends to help inform decision-making. Automation creates a faster, more accurate claims processing ecosystem Most healthcare organizations use a number of different technologies to manage their revenue cycles, and all these systems must work together in harmony. Unfortunately, interoperability across disparate clinical and financial systems isn’t easy to achieve. In the case of the provider that chose Experian Health to improve its claims process, integration with Epic, its medical records system of choice, was very important. For example, ClaimSource easily loaded customized edits and the edits library into Epic, tracked and corrected claims, and found and repaired issues with the system build, creating opportunities for cross-training and centralized reporting. Thanks to this automated, integrated process, this provider improved its acceptance rate by 10 percent, consistently seeing 99 percent of its claims accepted. Additionally, its clean, paid claims percentage increased by over 10 percent, creating a more predictable, profitable revenue cycle. With denials on the rise in an increasingly challenging claims management environment, providers will benefit from replacing manual processes wherever possible.  Automation is the key to optimizing staff resources and significantly reducing reimbursement obstacles. To see sustained success with your revenue cycle, get in touch with Experian Health and start automating your claims process today.

As patient expectations shift, providers that offer a personalized healthcare marketing experience will be more likely to attract and retain satisfied consumers. The pandemic accelerated this shift. As a result, the traditional ways of healthcare marketing are starting to fall short. For example: A healthcare marketing strategy that’s designed for an “average consumer” results in a one-size-fits-all model that doesn’t always meet a patient’s individual needs. Communication options with fixed hours and channels don’t reflect “patient first.” Outreach messages blasted to an entire patient email list miss the mark for individuals who don’t speak the language or might prefer a quick text message instead. A study by Dassault Systèmes and CITE Research found that 83% of consumers expect products and services to be personalized within moments or hours. They’re accustomed to the “one-click” digital retail experience, which offers instant access to relevant recommendations and flexibility about how and when to buy. They’re also suffering from information overload, thanks to the sheer volume of emails, messages, articles and videos flooding their digital devices. Personalized communications can remedy that and help consumers feel respected and empowered, which drives connection and loyalty. But personalization isn’t just important for patient outreach. Personalized healthcare marketing can also help ensure patients get the treatment they need, by anticipating individual needs and highlighting relevant services at the right time. With the COVID-19 pandemic continuing to influence access to care, personalized healthcare communications can also be tailored for different patient segments. This can help reassure or remind individuals to book vaccination appointments or reschedule deferred care. Improve patient engagement with personalized outreach As digital offerings grow, consumer engagement expectations evolve. Providers must keep pace and communicate accordingly. Incorporating information about patients’ lifestyles, behaviors and preferences enables providers to deliver the right message at the right time. It also helps providers select and use the most effective channel of communication. Patients are more likely to respond and are empowered to manage their healthcare journey. For example, a Gen Z patient may prefer to receive appointment reminders by text, while an older patient may prefer a physical letter. One patient may prefer to get prescriptions mailed to their home while they’re at work, while another may be content to visit a pharmacy and pick up their medication while shopping nearby. Some patients will want a text message with a payment link to clear outstanding bills immediately, while others will appreciate a customized payment plan. Experian Health’s State of Patient Access survey 2.0 found that patients welcome proactive outreach by providers, though many say this doesn’t happen. Providers recognize the value in proactive patient engagement, but many say they lack the data to reach out effectively. With reliable consumer data and analytics, providers can create holistic profiles and deliver improved marketing to better serve new and existing patients. ConsumerViewSM pools data points on core demographics, behavioral insights, psychographic information and financial data to help providers understand their patients. This data can then be analyzed using Mosaic® USA and TrueTouchSM to segment, identify and reach the target audience with the most relevant message and format, and adapt based on consumer response. ConsumerView also adheres to consumer data privacy regulations, so providers can actively engage patients and build patient loyalty while confident in the knowledge that they have permission to use the data. Reduce readmissions and improve patient outcomes with better segmentation Personalized healthcare marketing isn’t just about messaging and channels. Providers that have a holistic picture of a patient’s lifestyle, life events, geographic changes and socio-economic challenges will be in a stronger position to anticipate their evolving wants and needs. For example, social determinants of health (SDOH) data can tell providers which patients may need extra assistance when visiting a doctor’s office, so that appropriate measures can be put in place. They might help identify patients with potential comorbidities that warrant proactive reminders about preventive check-ups. Similarly, providers can segment patients according to their financial situation. This can help with creating custom payment plans and sending timely payment reminders through targeted communications channels. Effective post-admission engagement can also help patients access the support needed to adhere to care plans, thus minimizing the risk of readmission and reducing unnecessary costs. A McKinsey & Co study found that around a third of patients with unplanned, high-cost follow-up care reported reasons that were considered avoidable, such as receiving unclear post-discharge instructions. Boost retention and recruitment with patient-centric and personalized healthcare marketing As rising medical costs and pandemic-related lifestyle shifts prompt more patients to shop around for care, providers must take action to create a healthcare experience that’s truly patient-centric. With data-driven healthcare marketing tools, providers can differentiate their services from other health systems vying for the same market. Find out how Experian Health can help your organization use consumer insights to build a patient-focused, personalized health marketing strategy to attract and retain satisfied consumers.

Experian Health works with many of the largest, most sophisticated collections teams in healthcare that consistently strive for high-performance by innovating and adopting best practices. Our consultants are often asked to define “high-performance”. What separates high-performing collections teams from the rest and how do they impact the bottom line? Being a leader in data and analytics, we used our expertise to conduct an in-depth analysis to answer these questions, quantify the impact of high-performance, and identify best practices common to high-performing collections teams. Here is what we learned: 1. Spend time collecting on the right accounts Many health systems have developed collections workflows by segmenting self-pay accounts into varying buckets depending on the propensity to pay. However, not all segmentation models are created equal and ultimately a model is only as good as the data driving the decisions. Segmentation models are supposed to identify high and low propensity-to-pay accounts so that resources can be focused on collecting from accounts likely to yield revenue, building out custom workflows when possible. In fact, in a head-to-head comparison, a health system using a segmentation model based solely on patient payment history significantly underperformed a health system using a comprehensive, multifaceted segmentation model built using our Collections Optimization Manager. Here are the results: $60,000 in additional revenue generated from accounts in low payment likelihood segments 25% higher recovery rate in highest payment likelihood segments 100 more accounts worked in low payment likelihood segments Multi-faceted segmentation models increase recovery rate an average of 76% for the highest payment likelihood segments Using patient payment history within a single health system forces a decision to be made based on limited information. This leads to more time being spent on accounts that yield little to no revenue. Patient financial situations change rapidly and being able to see additional factors such as credit payment history, household income, and financial stress signals improves the ability to assess propensity-to-pay. This is particularly important for both new patients and those that visit infrequently. Utilizing a comprehensive segmentation model enables collections from the accounts and increases recovery rates for segments with a high propensity-to-pay. 2. Use automated dialing Imagine a world in which every collections call reaches the intended recipient. When comprehensive segmentation models are used in tandem with automated dialing technology, like Experian Health’s PatientDial product, the hypothetical can turn into reality. High-performing teams take output from their comprehensive segmentation models and use it to focus call center activity. The logic is simple; more contact attempts are made to reach accounts likely to pay and fewer attempts are made for low yield segments. For example, if a health system with 100,000 new monthly accounts uses a data-driven call strategy, call volume can be reduced by up to 20,000 calls per month. The highest-performing teams go a step further by pre-loading call lists into agent software and only allowing agents to join calls that successfully connect. This is where the real magic happens – valuable time is saved, and agents actually connect with more patients, ultimately increasing collections success. 3. Monitor agency performance It is no secret that some agencies perform better than others. In fact, even a trusted agency’s performance can vary over time as portfolios are rotated between different collection teams. So, what do high-performing collections teams do to influence consistent agency results? They use robust reporting to monitor and track agency performance over time. This helps direct account allocation decisions in a way that impacts the bottom line. It is Monitoring agency performance gives revenue cycle leaders the information needed to make better portfolio allocation decisions. Another benefit of monitoring agency performance is that agencies perform better just knowing they are being monitored, per an Experian Health analysis of agency performance across similar portfolios. Here are the key metrics: Monitoring agency performance enables better account allocation decisions, pushes agency partners to perform at a higher level, and significantly increases collections. 4. Reduce bad debt through presumptive charity Best-in-class providers automate the financial assistance process for low-income self-pay individuals. This has a significant impact on both patient and provider. Patients no longer receive statements or calls for an outstanding debt that they are unable to pay, and providers are able to save on variable expenses, such as statement and call costs, in addition to staff time spent manually inputting and verifying financial assistance applications. Automating the charity award process enables health systems to reduce bad debt expense, regardless of when awards are granted. In a comparison between health systems using an automated financial assistance process and a similar portfolio of health systems without automated financial assistance, we discovered that automation could reduce bad debt expense by as much as 10-12% on a similar demographic mix of consumers. [1] 5. Identify accounts that require special handling One of the most common mistakes that collections teams make is dedicating time and resources to accounts that are unlikely to yield revenue. Deceased or bankrupt accounts make up anywhere between 1 percent to 2 percent of self-pay portfolios. This means that for a monthly portfolio of 100,000 accounts, collections teams are unnecessarily calling or mailing statements for up to 2,000 accounts that require special handling and might produce no results at all. High-performing collections teams have automated processes in place to identify these accounts and either remove them from the AR file completely or place them with a specialty vendor as soon as possible. High-performing teams also focus on identifying and resolving incorrect patient addresses. Although mailing patient statements is a key part of nearly every collections workflow, undeliverable mail often remains unworked. Since accounts are less likely to yield revenue over time, it is imperative to identify and resolve address discrepancies quickly. Returned mail typically impacts 1 percent to 4 percent of a self-pay portfolio. This means in a situation with 100,000 new accounts each month, an additional $30,000 can be recovered using an automated process to identify and update undeliverable addresses. Interested in learning more? For more information on our healthcare collections products, click here.    [1] Data Study Methodology: In June of 2021, Experian Health performed an analysis on a nationwide sample of health systems to define industry best practices and quantify their impact.