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. 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Could patient access software be the 'most valuable player' in healthcare? Experian Health's annual State of Patient Access surveys show an upward trend in the use of digital tools and software to help minimize the hoops patients must jump through to access care. In the most recent, 46% of providers said they expected to increase their digital investment over the next six months. The business advantages around increased capacity, reduced cancellations, improved data accuracy and higher patient satisfaction make a strong case for investing in patient access software. This article looks at how patient access tools can solve for some of the most stubborn problems in patient scheduling, registration and payments. Finding the formula for frictionless patient access Revenue cycle management comes down to minimizing service utilization while maximizing revenue potential. This starts with patient access. Efficient scheduling, intake and financial processes means more patients get better care, sooner – and providers get paid for their services without delay. Patient access software includes a range of digital and self-service tools that allow patients to complete administrative patient intake tasks with ease. Appointment management, patient registration, patient outreach, and patient estimates and billing are common use cases for patient access software. These solutions use in-depth data and automation to pre-fill patient information, check data for accuracy and completeness, tailor patient communications and accelerate workflows. Advances in AI and machine learning are creating new opportunities to remove obstacles in patient access and boost patient satisfaction. 5 problems that can be solved with patient access software 1. Painfully slow scheduling operations  Problem: Too often, patient access processes are complex and time-consuming. Over time, small frustrations from errors, delays, and repetitive manual tasks can cause a significant decline in the patient experience. It's unsurprising that 56% of patients want digital options to manage care and speed things up. Solution: Patient access software makes it easier for patients to see their doctor without delay. For example, rather than being forced to call the provider's office and wait for an agent to check for an available slot, patients can use online scheduling software to book, reschedule and cancel appointments whenever suits them best. This also alleviates call center volumes, easing pressure on staff. 2. Error-prone registration processes Problem: Manual intake and registration systems are vulnerable to quality issues, resulting in denied claims, increased admin costs and delayed access to care. Illegible writing, incomplete insurance information and missing forms mean patients and staff must spend more time going back and forth to find and fix mistakes. And at the extreme end of the spectrum, data errors can lead to medical errors, with life-or-death consequences. Solution: Automated patient registration can pull patient data from reliable sources and fill out basic details ahead of time, reducing the need for manual data entry. Preventing avoidable errors in this way improves communication, workflows and profitability. For example, Registration Accelerator is a text-to-mobile patient intake solution that allows patients to complete appointment registration from the comfort of home. The patient takes a photo of their insurance card and driver's license, and then optical character recognition (OCR) technology automatically enters the correct information for insurance verification. The patient can review and sign authorization and consent forms, and confirm their appointments all at once, with just a few clicks. 3. Excessive (and growing) admin burdens and staffing shortages Problem: Patient access is admin heavy. This wastes valuable staff time and resources and diverts attention from patient care. With healthcare staffing shortages reaching emergency levels and patient volumes on the rise, providers must find ways to manage workloads while maintaining output. Solution: By automating administrative tasks and expanding self-service options, patient access software takes the pressure off busy teams. In Experian Health's survey, 36% of respondents reported that technological improvements offset staff shortages, by making better use of staff time and lowering operational costs. Automated prior authorizations are a good example of how digital tools can help tame the admin burden. This software generates real-time updates for multiple health plans, so staff no longer need to cross-reference individual payer policies and websites. It uses exception-based workflows and guided work queues to help staff prioritize their activities. Patient access tools can also issue performance reports, so staff can continue to find ways to work more efficiently. Cutting-edge technology also offers a less obvious but equally important competitive advantage – helping providers attract and retain high quality staff. 4. A patient experience that falls short of expectations Problem: Unnecessary administrative obstacles, unclear communication, and slow processes result in subpar patient experiences. More than 6 in 10 patients don't think their experiences have improved much in the last few years, despite the wider availability of digital patient access tools. Providers need a solution urgently, given that 56% of patients would switch providers for a better patient experience. Solution: With automation and self-service digital tools, providers can finally put patients in the driver's seat and deliver the patient-centered experience that has been promised for years. Patients say they want access and payment experiences to be convenient and transparent, with specific examples including: Accurate pre-care estimates Payment plans Digital payment options A multi-purpose portal Mobile access for scheduling, registration, communications and care Alex Harwitz, VP, Digital Front Door at Experian Health, says that while this list may seem daunting, providers have reason to be optimistic about delivering a better patient experience: “Patients want a lot from the digital front door, especially younger and digitally savvy consumers. Speed, convenience and compassion are through-lines in our patient surveys. As expectations increase, so does the pressure on providers to deliver. But the good news is that technology is advancing too. There's a wealth of patient access software ready to help optimize the patient experience. And you don't have to implement them all at once: Experian Health's patient access tools are specifically designed to work independently or in combination, for hassle-free implementation.” 5. Missed revenue opportunities Problem: Missed appointments, billing mistakes and operational inefficiencies lead to avoidable revenue leakage. A significant portion of denied claims occur earlier in the revenue cycle, so improving patient access processes should be top of the list when it comes to optimizing revenue. Solution: Revenue loss in patient access comes down to data errors, poor analytics and workflow inefficiencies. By leveraging the right software, front- and back-office teams can collaborate to resolve issues and enhance decision-making. Digital tools can also improve the patient billing and payment experience, so providers get paid promptly. Upfront price estimates, payment plan recommendations and one-click payment options can make it easier for patients to understand and pay their bills. Implementing transparent and empathetic billing procedures not only enhances patient satisfaction but also accelerates the collection process. With Experian Health's Patient Payment Solutions, providers can collect payments 24/7 via mobile, web and patient portals. Maximizing revenue opportunities while meeting the changing needs and expectations of healthcare consumers calls for smart patient access strategies. Find out more about how Experian Health's patient access software helps healthcare organizations lay the foundations for a solid revenue cycle and a positive patient experience.

Advances in medical treatments and technology are ushering in a new era of personalized healthcare. Each patient has their own distinct medical history, genetics, lifestyle and preferences, and it is increasingly clear that tailored care plans are essential to improve patient outcomes and elevate the overall experience. Personalized patient care has become more critical than ever, and is key to creating better patient experiences. Equally rapid transformations in data analytics, automations and machine learning have opened up new possibilities for non-clinical touchpoints in the patient journey. Providers can leverage digital tools to personalize everything from scheduling to payments, ensuring that patients get the right information at the right time. Targeted patient outreach and tailored payment plans are just two examples of how providers can use digital tools to foster better patient engagement without compromising efficiency – one patient at a time. Why does a personalized patient experience matter? Patient expectations have changed. Wearables, apps and a steady stream of health-related content on social media mean today's patients are better informed and increasingly engaged in their own health. They expect to be treated as equal partners, not as passive participants waiting to be told what to do by their doctor. Rather than one-size-fits-all communications, patients value proactive outreach and relevant reminders and prompts that help them move through their healthcare journey with as little friction as possible. They're also accustomed to “high-choice, high-convenience” digital experiences that tailor information to their specific needs and preferences. Digital consumer brands like Amazon and Google are moving into the healthcare space, leveraging their insights and technology to offer patients tailored medical solutions. To remain competitive in this changing landscape, providers must embrace a personalized approach to care. Aside from attracting higher patient satisfaction scores, a personalized patient experience also contributes to better health outcomes. For example, research shows that unclear post-discharge instructions result in preventable, unplanned, and high-cost follow-up care. Specific and relevant advice and reminders – communicated through the patient's preferred channels – can greatly reduce the risk of no-shows, delays and gaps in care. There are financial benefits too. As patients consistently report concerns about the cost of care, support to understand and manage bills can make a major difference in their propensity to pay. What does personalized patient care look like in practice? Clearly, there are practical limits to the level of personalization that can be offered. But with the right digital tools and data analytics, providers can segment groups of patients and deliver an experience that is sufficiently tailored so it feels like they have their own healthcare concierge. And rather than adding to the operational workload, the data analytics and automations that facilitate personalization can also streamline workflows and improve overall efficiency. In this way, tailoring the patient experience can contribute to a reduced manual workload, fewer errors and faster collections. Providers don't need to compromise efficiency for personalized patient experiences. Two specific areas that offer a high ROI are targeted patient outreach and tailored payment plans. Strategy 1: Targeted patient outreach Experian Health's State of Patient Access survey 2.0 showed that patients appreciate proactive outreach by providers, though many said this didn't always happen. With digital patient outreach solutions, communications can be tailored for different patient segments. Consumer data can allow patients to be grouped according to need, behavior and preferences, so they can be supported to move to the next step in their healthcare journey with ease. For example, patients with specific chronic diseases can be sent reminders for annual health checks. Those that may be due for regular cancer screening can be sent pre-appointment information. Providers can also engage patients with automated, timely messages through their preferred channels. At the individual level, self-service patient access tools and automations allow patients to book appointments when and where it suits them. Automated text message and interactive voice response campaigns can be used to issue links to patients so they can book right away. And automated appointment reminders are an easy way to ensure patients don't forget to attend, while minimizing the business impact. Strategy 2: Tailored payment plans and billing Patients worry about the growing burden of healthcare expenses. Generic payment plans that do not take account of individual patient circumstances can leave patients feeling unsupported and detached, so they're less likely to pay in full and on time. A more patient-centric approach can help patients manage bills and reduce the risk of bad debt. Digital technology can analyze patient financial information to anticipate the patient's propensity to pay and generate a customized payment plan. This should start with proactively issuing accurate estimates of the patient's financial responsibility. Patient Payment Estimates gives patients a simple breakdown of their costs, directly to their mobile. It draws on real-time price lists, payer contracts and relevant insurance details to maximize accuracy. Similarly, Patient Financial Advisor offers patients a text-to-mobile experience with a secure link to billing information, personalized payment plans and convenient payment methods. Those that can pay upfront in full can do so, while those that need a little more time or advice on financial assistance can be directed to the right pathway. Patient Financial Clearance helps determine the optimal payment plan by screening patients automatically before their appointment or at the time of service, to see if they qualify for charity support. Finally, offering a choice of payment methods rounds out a tailored financial offering. Personalized patient care: the key to greater patient satisfaction To sum up, integrating targeted outreach strategies and tailored financial support can help providers increase patient satisfaction, improve health outcomes and enhance financial performance. At the heart of a patient-centric approach should be a commitment to anticipating patient needs, by simplifying their healthcare journey and offering the flexibility and choice that have come to be expected. Explore Experian Health's suite of patient engagement solutions for more ideas on how to deliver a compassionate and personalized patient experience.

Compared to other industries, healthcare tends to be more resilient to economic turbulence. But the weight of the pandemic, labor shortages, rising costs and increasingly complex reimbursement structures are squeezing hospital margins. A Kaufman Hall National Hospital Flash Report in July 2023 found that many hospitals underperformed, and the gap between high-performing hospitals and those struggling continues to widen. Providers must find new and effective ways to improve revenue cycle management, should any new uncertainties emerge. With pressure mounting to increase efficiency and reduce expenses, more providers are turning to automation and artificial intelligence (AI) to eliminate unnecessary manual work and optimize revenue cycle management processes. For example, Stanford Health Care leveraged automation to reduce their cost to collect. Banner Health improved patient collections with transparent price estimates. Schneck Medical Center zeroed in on claims management and incorporated AI to reduce denials. In the face of a cashflow crunch, healthcare providers increasingly turn to data-driven revenue cycle management (RCM) strategies that span the entire patient journey. This article lists six of the most effective income-generating digital RCM strategies that providers are using to maximize profits. Building blocks of a healthy revenue cycle At its core, revenue cycle management is about ensuring providers are fully reimbursed for the care they provide. The true ROI is much broader – efficient financial and administrative processes for patient billing, claims management and collections contribute to better care, satisfied patients, high-performing staff and good financial health. Realizing these benefits calls for revenue cycle processes built on three principles: Efficiency – streamlining processes to reduce resource utilization across the entire billing cycle Accuracy – ensuring all patient and claims data is correct and complete to avoid denials and delays Transparency – giving patients, providers and payers relevant and timely information, so they can act with confidence in each financial transaction. To achieve this, providers are moving away from slow, costly manual systems. Digital RCM tools are becoming non-negotiable. 6 data-driven strategies for effective revenue cycle management 1. Increase efficiency in patient access Revenue cycle management starts when the patient books their appointment and ends when the final bills are settled. Claim denials and delayed payments often arise from data errors and miscommunications in the early stages of the patient journey, which means patient scheduling and registration processes are critical to streamline RCM. With automated, data-driven patient access tools, providers can simplify tasks across the patient journey, so patients can move from one stage to the next with as little friction as possible. Fewer errors mean delays and disappointment are more easily avoided. Automated registration and online self-scheduling can also lead to savings through more efficient use of staff time and reducing the number of appointment no-shows. Experian Health clients find that online tools allow them to make relatively minor adjustments to their workflows, with a major impact on productivity. 2. Deliver accurate and timely patient billing Patients want the payment process to be as painless as possible. In multiple surveys, Experian Health has found that patients are worried about the cost of care, while 63% of providers believe patients frequently postpone care because of cost concerns. Clear, comprehensive estimates, billing and collections practices can make it easier for patients to navigate their financial journey. And with the end of continuous Medicaid enrollment, it's likely that more patients will find themselves unsure of their coverage situation, and in need of greater support to manage the financial process. For Stanford Health, the key to improving revenue cycle management centered around patient billing and collections. To achieve the dual goals of improving the patient experience and increasing collections, they used data-driven insights and automation to remove uncollectible accounts, prioritize accounts with a high propensity to pay, find missing coverage and reduce the manual workload. Collections Optimization Manager helped Stanford Health identify the best possible collections strategy, by scoring and segmenting patient accounts with the highest propensity to pay. Coverage Discovery® supplemented this strategy by checking for any unidentified primary, secondary or tertiary coverages that can potentially reduce self-pay amounts and avoidable charity designations. As a result, Stanford Health achieved a $4.1m increase in average monthly payments and efficiency gains of $109k per month. 3. Provide transparent price estimates Experian Health's State of Patient Access 2023 report suggests that fewer than three in ten patients know how much their care will cost in advance, while nine in ten consider it important. Delivering accurate pre-care estimates to help patients plan for bills could therefore be an easy win to improve the patient experience and recoup more revenue. Banner Health used Patient Estimates as part of a wider strategy to improve patient collections. This solution generates detailed estimates of the patient's financial responsibility along with recommendations for payment plans and financial assistance, if appropriate. Listen in as Becky Peters, Executive Director of Patient Access at Banner Health, talks about streamlining the patient registration process and improving patient access with pre-care estimates. 4. Effective claims management Perhaps the biggest opportunity to improve revenue cycle performance lies in claims and denial management, which accounts for a major proportion of wasted healthcare dollars. Summit Medical Group Oregon–BMC paired Enhanced Claim Status with Claim Scrubber to submit cleaner claims the first time and avoid lost revenue. These tools help providers submit accurate claims and monitor claim status to prevent denials and resolve issues quickly. For Summit Medical Group, this led to a 92% primary clean claims rate, and a reduction in accounts receivable days and volume by 15%. Experian Health also offers a new solution that leverages machine learning and artificial intelligence for predictive reimbursement. AI Advantage™ uses AI to predict and prevent claim denials based on historical claims data. In the first six months, this solution helped Schneck achieve a 4.6% average monthly decrease in denials and decreased time spent on denials by 4x. 5. Easy ways to pay (plus clear pricing and payment policies) How easy is it for patients to pay? This simple but important question points to another vital element of effective revenue cycle management. A compassionate and convenient patient payment experience that matches consumer experience in other industries can encourage earlier payments. Easy digital options are especially important for millennial and younger patients: research by Experian Health and PYMNTS found that 60% of younger patients are looking for digital services. Experian Health's patient-friendly payment tools are designed to help patients navigate their financial responsibilities with confidence and ease. For example, PaymentSafe® allows providers to securely collect payments anytime, anywhere, including mobile payments and patient portals. 6. Operational efficiency with automation, data and analytics RCM processes generate vast amounts of data, providing valuable insights into the organization's operational performance, revenue trends and areas for improvement. Being able to parse and translate this data into actionable insights is essential to determine the right strategies to pursue to optimize financial performance. But this in itself can be a major lift. Revenue Cycle Analytics is a web-based tool that breaks down data into actionable insights across billing, reimbursement and payer performance, presenting KPI data via comprehensive dashboards. Effective revenue cycle management strategies from start to end From labor shortages to rising costs, healthcare providers are finding creative ways to manage cash flow. While each healthcare organization’s needs and goals are different, understanding these six key strategies of successful revenue cycle management can help hospitals manage their revenue cycles more effectively and efficiently, while responding to new uncertainties. Find out more about how Experian Health helps healthcare organizations leverage automation and AI to streamline processes and boost revenue cycle performance.

With the ability to be applied across many different areas – from disease prediction to claims management and administrative tasks – data and analytics in healthcare is booming. In fact, according to a Grand View Research report, the global market for data analytics was valued in 2022 at $35 billion and is expected to increase at a compound annual growth rate of 21.4% until 2027. So, why the rapid growth? How can healthcare data analytics be used across the healthcare revenue cycle? The role of data and analytics in healthcare Historically, there has been a large amount of healthcare data being generated, but the industry has struggled to properly leverage this data into useful insights that improve patient outcomes, operations, or revenue. Today, with increasingly advanced data analytics, healthcare providers are using real-time data-driven forecasts to stay nimble and pivot quickly in rapidly changing healthcare and economic environments. And there is more data collaboration between healthcare organizations to convert analytics-ready data into business-ready information, thanks to the ability to automate low-impact data management tasks. Data-derived intelligence is also now easier to share with colleagues, third parties and the public. Types of healthcare data analytics methodologies and tools Healthcare data analytics involves several different types of methodologies and tools – all of which can be applied to various aspects of revenue cycle management. For example, descriptive analytics allows organizations to review data from the past to gain insights about previous trends or benchmarks. Predictive analytics, on the other hand, uses modeling and forecasting to help predict future results. When a strategic course of action is needed based on certain data inputs, prescriptive analytics is used. If a provider wants to take a deep dive into raw data to uncover patterns, outliers, and interconnection, they may employ discovery analytics. There are also generally three categories of technology-driven tools that can help collect and convert raw data into usable insights during the revenue cycle, including: Solutions that gather data from a wide variety of sources, such as patient case files, machine-to-machine data transfers, and patient surveys Programs designed to scrub, validate, and analyze data in response to a specific question being researched Software created to leverage the results produced by the analysis into actionable suggestions that be applied to meet specific goals Applying data analytics to maximize revenue “There are many things driving near-constant change in the healthcare revenue cycle, including shifting reimbursement, evolving value-based payment models, growing regulatory pressures, and increasing provider risk and patient responsibility,” says John Menard, VP of Product, Analytics, at Experian Health. “Healthcare organizations are also adapting to value versus volume reimbursement models, requiring revenue cycle leaders to lean into leveraging data analytics to improve not just operational efficiency, but patient financial experience and quality outcomes as well." Here's a closer look at how data analytics can help with revenue cycle management: Assessing patient finances From registration to collections, data analytics can play a key role at every step of the patient journey – and revenue cycle. Not only can the right data analytics tools help healthcare organizations better assess a patient's individual financial circumstances, but they can also help providers create accurate estimates and payment plan recommendations. Data-driven technology can help providers reduce surprise billing through more transparent pricing, helping patients navigate the cost of care and providing more timely patient communication. Digital solutions can help improve the patient financial journey by: Providing a self-service patient portal – With a solution like PatientSimple, patients get convenient 24/7 access to self-service account management tools. They can use the online portal to log into their healthcare account to securely process payments, request or review payment estimates, and schedule appointments. The portal also provides patient access to pricing information, plus the ability to apply for financial assistance or set up payment plans. With easy-to-use patient online tools, patients are more likely to meet their self-pay responsibilities and providers get paid more quickly as a result. Offering payment solutions – To collect payments with confidence, healthcare providers can utilize comprehensive data collection and advanced analytics through a digital solution like Patient Financial Clearance. With this solution, providers use a patient's financial data to quickly assess a patient's propensity and likelihood to pay prior to treatment. When appropriate, providers can then offer empathetic financial counseling and connect those that potentially qualify to financial assistance programs. By applying data analytics to this payment solution, healthcare organizations can increase point-of-service collections while reducing bad debt—in real-time. Providing patients with more accurate estimates – A recent Experian Health study found that 4 in 10 patients said they spent more on healthcare than they could afford. However, when patients know the expected cost of their care up front, they feel more empowered and make better decisions. Patient Estimates lets providers create more accurate estimates, eliminate manual tasks and improve patient satisfaction. Plus, it allows providers to automate and standardize their price transparency practices, which can help healthcare organizations meet regulatory requirements, create a more positive patient experience and increase revenue at the point of service. Reduce denied claims According to Experian Health's 2022 State of Claims survey, denied claims are on the rise with 42% of providers reporting that denials increased in the past year. 47% of respondents also said improving clean claims rates was a top pain point. Digital solutions can help providers reduce denied claims and increase revenue by: Automating claims management – With a solution like ClaimSource®, providers can automate their claims management systems – helping to ensure claims are clean before they are submitted to a government or commercial payer. Using an automated solution also allows providers to streamline the claims management process from a single web application. With ClaimSource, providers can easily analyze claims, payer compliance and insurance eligibility. Plus, it allows staff to prioritize their workload and focus on high-impact accounts – resulting in claims denial rates of just 4% compared to the industry average of more than 10%+. Optimizing efficiencies through artificial intelligence – Incorporating artificial intelligence (AI) into an automated claims management solution enhances the claims process in two key moments: before claim submission and after claim denial. AI Advantage™ integrates seamlessly with ClaimSource to continuously learn and adapt to ever-changing payer rules. The solution features two AI offerings, AI Advantage – Predictive Denials and Denial Triage, which can be customized to prioritization thresholds. Verify insurance and patient information Missing patient healthcare data can be a headache for providers to hunt down but looking for active coverage is often necessary. Providers must contend with a range of factors impacting patient coverage – including forgotten coverage, inadequate coverage, patients being misclassified as self-pay and regulatory changes, particularly with Medicaid and Medicare coverage. Implementing digital solutions can help providers use data to verify and find missing patient health insurance coverage, optimize patient collections, and boost revenue by: Utilizing automated, real-time insurance verification – Verifying patient coverage prior to service using a digital solution, such as Experian Health's Insurance Eligibility Verification. This tool can help providers experience fewer payment delays and claim denials. Plus, verifying insurance with automated insurance eligibility and benefits data improves cash flow, reduces claims denials and speeds up payments, including Medicare reimbursements. Patients also feel empowered with accurate payment estimates and accelerated registration, leading to a better patient experience overall. Improving collections with better data – With Collections Optimization Manager, providers can screen out bankruptcies, deceased accounts, Medicaid and other charity eligibility ahead of time. Through targeted collection strategies, providers can leverage actionable insights to focus on high-value accounts. Plus, predictive algorithms and data-driven rules help providers route and distribute accounts to the right collectors and agencies, controlling overall collection costs. This solution also connects providers to live support from an experienced optimization consultant that will help develop a tailored collection strategy through data evaluation and industry knowledge. Finding unidentified coverage – In 2022, Coverage Discovery tracked down previously unknown billable coverage in 28.1% of self-pay accounts, finding more than $64.6 billion in corresponding charges. Providers can use Experian Health's Coverage Discovery solution at any point in the revenue cycle to look for previously unidentified coverage – maximizing insurance reimbursement revenue and reducing accounts sent to collections, charity, or bad debt. Coverage Discovery also automates self-pay scrubbing and proactively identifies billable Medicare, Medicaid, and private insurance options, using a mix of search, historical information, proprietary data sources and demographic validation. See how the right data and analytics can help providers better understand their patients, streamline operations, and improve revenue.

Many hospitals and health systems are rethinking their responses to the growing challenge of healthcare claims management. After all, claims are becoming increasingly more complex. Payer policy edits are changing at a scale not seen before. And the legacy of the pandemic continues to take a toll on administrative workflows. In Experian Health's State of Claims survey 2022, providers reiterated the urgent need to optimize claims management – and the mountains of wasted dollars that are the by-product of preventable denials. Could artificial intelligence (AI) and machine learning (ML) be the key? What does the future of healthcare claims and AI look like? The internet is buzzing with excitement about the AI revolution, but the adoption of AI technology in healthcare has been slow, compared to other industries. Providers may be unclear about implementing AI effectively or struggle to see a route around barriers to adoption. This includes concerns around legacy systems and data interoperability. That said, the uptake of AI in healthcare shot up by 167% between 2019 and 2021, as organizations spotted opportunities to leverage new technology to reduce denials, optimize processes and identify patterns. Now, the AI genie is out of the bottle. As the trend continues to grow, providers that fail to embrace these technological advances risk falling behind as their competitors race forward. This article looks at AI's role in the future of healthcare claims management, and specifically, how it can help providers streamline claims processing, recoup more revenue and gain a competitive edge. The growing challenge of healthcare claims management In Experian Health's State of Claims Survey 2022, providers said reducing denials was their number one priority. It's clear to see why. There have been more than 100,000 payer policy changes between March 2020 and March 2022. Staffing shortages continue to put pressure on both front-and back-office teams. Increasing patient volumes and changes to insurance coverage means more claims to process – with more complexity to boot. Looking ahead, providers need to find more efficient ways to manage and utilize increasing volumes of claims data to alleviate staffing pressure, improve productivity and future-proof against unexpected events. Failure to do so could be an expensive mistake, especially when margins are already tight and the economic landscape remains shaky. Digital claims management: from process-automation to pattern-spotting The survey suggests providers are increasingly turning to automation to improve claims management, with 78% saying they were likely to replace their current solution to achieve lower denial rates in the coming year. Upgrading claims technology, automating the tracking of payer policy edits, and automating patient portal claims reviews were the top three strategies for reducing denials. Automation can generate years of ROI by executing repetitive and error-prone administrative tasks at speed and at scale. A few examples of automation in action are tools like: ClaimSource®, which manages the entire claims cycle, creating custom work queues and automating the claims process for greater efficiency and accuracy. Claim Scrubber, which automatically reviews every line of every claim to check for errors, so claims are clean the first time, prior to submission.  Denials Workflow Manager uses automation to help providers eliminate manual processes, prevent errors and increase reimbursement. AI takes this a step further, by analyzing vast amounts of information to find patterns and make predictions that support better, faster decision-making. Clarissa Riggins, Chief Product Officer at Experian Health explains why providers should embrace AI in claims and denials management: "Claims submissions and managing claims after denial are highly manual processes – and they are both extremely error-prone. AI/ML can learn from the data patterns in your claims to provide insights on where your claims are being denied most frequently. These solutions can also provide decision support to staff to help them to prioritize the work within their current claims processes, to avoid unnecessary denials in the first place and then to optimize their work to ensure a cleaner claim rate." While many providers see the potential of AI to streamline claims operations, prevent denials and accelerate reimbursement, others are hesitant to invest or are stumped by logistical barriers. Legacy technology, data compatibility issues and staff skills gaps can all put the brakes on AI implementation. But the AI train is showing no signs of slowing, and providers that fail to jump aboard could get left behind. With the right tools and an experienced vendor, implementation can be simplified. AI Advantage™ – the engine for predictive denials and denials triage Experian Health's new AI-powered denials management solution uses a two-pronged approach to predict, prevent and prioritize denials. First, AI Advantage – Predictive Denials identifies claims that may be at risk of being denied, based on analysis of historical payment data and payer decisions. This gives staff time to intervene and make any necessary amendments before the claim is submitted. The second element, AI Advantage – Denial Triage, applies an algorithm to segment denials based on the likelihood of reimbursement. This means staff can focus on high-impact resubmissions, rather than simply prioritizing high-value claims that may or may not be paid. Rob Strucker, Product SVP at Experian Health, explains that AI Advantage™ is continuously learning in real-time, so that predictions are increasingly accurate: “We look at the provider's own information for this type of service for this payer, and how those claims have been adjudicated. From that, we can score each claim in terms of its probability of being denied or claimed, and then based on that probability score, trigger an appropriate alert.” How Schneck Medical Center optimized healthcare claims management with AI Advantage™ AI Advantage™ proved to be the solution Schneck Medical Center was looking for when they set out to reduce denials. Within six months, Experian Health's AI-powered solution enabled Schneck to reduce denials by an average of 4.6% each month. Staff reported that the probability thresholds calculated by AI Advantage™ were highly accurate, facilitating a more efficient approach to reworking claims. Processing time was cut from 12 to 15 minutes to less than 5 minutes per claim. Clarissa Riggins says that AI Advantage gives staff confidence that they're spending their time on the right tasks: "When you have an algorithm that can evaluate the probability that a denial will be overturned, you can make sure that staff are working on the claims with the most potential for yield. Taken together, these solutions can help ensure that hospitals and health systems are getting paid for the good work they do in delivering care." Thanks to the tool's predictive capabilities, staff now have the insights (uncovered from within their own data) to prevent denials before claims are submitted, and to speed up rework should any be denied. As claim denials continue to increase in number and complexity and healthcare costs continue to grow, providers are feeling the impact on their revenue and margins. AI can ease the pressure by optimizing the healthcare claims management process. Find out more about how AI Advantage™ can help providers improve healthcare claims management and prevent costly claim denials.

Prior authorizations allow health insurers to determine if a patient's planned care is medically necessary and how much of the cost they'll cover. But what began as a well-intentioned process to promote high-quality, cost-effective care has become one of the most time-consuming and expensive manual transactions for providers. Transitioning from manual systems to automated prior authorization software is one way to expedite the decision-making process so patients get the care they need – and providers get paid – without undue delay. Prior authorization software eliminates friction in the pre-approval process Disjointed manual prior authorizations processes place a major administrative burden on staff, who must spend hours filling out forms, gathering information about the patient's medical history, and communicating with insurance companies to submit and track requests. Walking this bureaucratic tightrope delays tests and treatments for patients and often fails to fulfill the promise of cost containment. To streamline the process, providers are increasingly turning to automated prior authorization solutions. Prior authorization software helps providers check whether pre-approval is needed, compile and submit the request, and track payer decisions. It can check requirements in real time and quickly connect staff to the correct payer portal so they can progress without delay or guesswork. Data can be pre-formatted according to the payer's rules, to avoid the roadblocks that pop up without interoperability. Software can monitor performance over time, to drive ongoing improvements and prevent denials and appeals. This helps providers increase operational efficiency, reduce the administrative load, and obtain the payer's decision as soon as possible. Soon, fully electronic prior authorizations may also be a requirement: in December 2022, the Centers for Medicaid and Medicare Services proposed a new rule to improve and expedite the electronic health information exchange. The Advancing Interoperability and Improving Prior Authorization Processes Proposed Rule would require affected payers to process urgent requests within 72 hours and standard requests within 7 days, beginning January 1, 2026. With more than 35 million prior authorizations submitted to Medicare Advantage plans in a single year (and more than 2 million of those being denied), providers will find these timeframes extremely challenging without electronic systems in place. Manual prior authorizations: creaking under pressure? Prior authorization software may be gathering momentum, but manual processes still dominate: 33% of prior authorizations were fully manual in 2022, barely moving from 34% in 2020. Many providers continue to grapple with the fall-out of inefficient systems, such as: The administrative burden - The American Medical Association estimates that physicians spend an average of nearly two days per week handling prior authorizations while 35% have staff who work exclusively on prior authorizations. As the volume of prior authorizations increases, these time-consuming processes cannot keep up. The communications challenge - Manual communication channels create too many opportunities for information to be misunderstood or misplaced when being passed between providers and payers. Providers' staff find themselves juggling faxes, telephone calls and payer portal log-ins. Without data interoperability, payers and providers end up in data silos where they're not working from the same account information. Delays mean real-time monitoring and decision-making are impossible. The denials problem - With manual processes, providers lack real-time visibility into changing payer rules. This lack of clarity means requirements may be missed or misinterpreted, leading to longer waits for approval and requests being denied. Not only does this have major consequences for patient care, but it also runs the risk of increasing out-of-pocket costs. It's unsurprising that the MGMA members repeatedly say that prior authorizations are the most burdensome regulatory issue they face. The business case for prior authorization software Transitioning from manual to electronic prior authorization processes can help overcome many of these challenges. Providers should focus on three main benefits when making the case for implementing prior authorization software: 1. Faster workflows Revenue cycle management teams are tired of being asked to “do more with less,” but automated prior authorizations actually check this box. This software can increase efficiency by initiating more requests in less time, so staff can spend less time chasing down documentation and reworking denials. It takes charge of monitoring and managing requests, reducing the need for manual follow-up. 2. Easier authorizations management Keeping pace with payer policy changes was a top concern for providers, according to Experian Health's State of Claims Survey 2022. To address this, Experian Health's online authorizations tool gives users access to a central payer database that instantly and automatically syncs with payer updates. Staff no longer need to log into multiple payer portals and cross-reference rules and requests by hand. It integrates customizable client-specific and plan-specific rules for more streamlined and accurate submissions. A guided, exceptions-based workflow gives staff immediate information on whether submissions are pending, denied or authorized. 3. Enhanced features (that go above and beyond manual processes) Prior authorization software not only makes the whole process more efficient and user-friendly, but it also offers additional features that simply aren't possible using manual processes alone. For example, with Experian Health's Prior Authorizations software, an additional post-back service can be integrated with hospital information and patient management systems to share authorization status, number and validity dates and flag any inconsistencies. It can store digital images of payers' responses for future reference. The software supports reconciliation by comparing authorized requests with pre-submission requests, to identify potential discrepancies and prevent denials. Finally, it also provides integrated faxing capabilities, so submissions can be sent to electronic and non-electronic payers using the same system. An increased need for prior authorizations software as the number of authorizations increase As patient volumes and payer policy changes continue to increase, providers will need to find ways to speed up prior authorization processes. Experian Health's State of Claims Survey 2022 found that more than half of providers find it hard to track changes to prior authorization requirements – unsurprising given that Experian identified more than 100,000 payer policy changes between March 2020 and March 2022. Neeraj Joshi, Director of Product Management at Experian Health, says that transitioning to automated prior authorizations will be essential to process requests efficiently at scale: “With prior authorization software, we can help our clients cut decision times to the absolute minimum. Automation reduces processing time and enables real-time tracking of authorizations, which translates to faster, more efficient communication between providers and payers. As authorizations increase, providers should speak to software vendors to explore the opportunities to speed up approvals and expedite the delivery of medical care to patients.” A nationwide survey confirmed that the use of electronic prior authorizations resulted in a shorter decision time. It also found that this advantage could be amplified with better integration into existing workflows. Experian Health clients who already use the eCare NEXT® platform to automate patient management and revenue cycle workflows will find that Prior Authorizations can be integrated seamlessly. This single-vendor solution allows providers to improve efficiency even further for faster processing times – and faster payments. Contact Experian Health today to streamline, simplify and speed up the pre-approval process with prior authorization software.

The healthcare staffing crisis was one of the biggest challenges facing healthcare providers pre-pandemic, only to be exacerbated by the pressures of dealing with the COVID-19 crisis. Almost a fifth of healthcare workers resigned between February 2020 and September 2021. Unfortunately, the problem isn't in the rearview mirror yet – a new study from McKinsey reveals that worker shortages persist, with 31% of nurses declaring their intent to leave their jobs in the next year. These shortages put pressure on remaining staff, compromise hiring efforts and make high-quality services difficult to maintain. Without a thriving, vibrant workforce, how can healthcare providers meet the needs of their patients? Can automation help address the healthcare staffing crisis? Stubborn staff turnover levels aren't unique to healthcare, but addressing them is even more critical, given the detrimental effect on patients. As the staffing crisis shows no signs of letting up, providers should consider how technologies that leverage automation and AI can help. Tom Cox, President at Experian Health, says, “Automation has transformed many aspects of healthcare, from driving down appeals and denials to improving the digital front door. We're now seeing AI starting to make waves, too. These technologies are the future and are changing healthcare for the better.” Opening healthcare's digital front door is a good place to start. By eliminating repetitive and time-consuming tasks like data entry, manual patient registration and prior authorizations, staff will be freed up to focus on what matters most: delivering high-quality patient care. Here, we look at three areas where automation can simultaneously alleviate the burden of staff shortages and create a better patient experience. Use case 1: automate patient access to manage the growing demand for services Manual and repetitive processes eat up valuable time and create greater workloads that contribute to staff burnout. This is especially true in patient access, which is a typically admin-heavy process. Allowing patients to complete more of their registration and scheduling tasks themselves can reduce the workload in understaffed teams. Many patients prefer not to book appointments through call centers, and high call volumes are a major pressure point for staff. Similarly, manual patient registration is labor-intensive and error-prone, eating up staff time and creating bottlenecks for patients. Automated registration and self-scheduling solutions help patients access care without waiting in phone queues. Patients can book, cancel and reschedule appointments through their mobile devices. On the back end, data can be leveraged to predict and manage demand, while digitized scheduling means agents can spend less time checking referrals against scheduling rules. Automated prior authorizations mean staff no longer need to spend hours poring over payer policies and checking individual payer websites to check for changes – the software updates automatically in real-time. Simplifying these processes with automation not only minimizes operational strain but also reduces friction for patients who want to see the right specialist in the least amount of time. Use case 2: automate personalized patient outreach to reduce call volumes Another way to reduce the administrative burden is with automated patient outreach. Reducing no-shows is an important strategy to promote better health outcomes and boost financial performance. Instead of burying staff with a list of patients to follow up with, providers should utilize automated patient reminders. Automated patient outreach solutions allow providers to segment patients according to their individual needs and preferences, so patients get relevant information through the most appropriate channel. This allows patients to proactively and conveniently manage their own healthcare journey. Automated messages can also be sent to remind patients of outstanding bills and link them to payment options. This means patient collections teams can spend less time on calls and focus instead on meaningful conversations with patients who need extra guidance or support. Use case 3: automate patient collections for faster payments and a better patient experience With fewer staff, patient collections teams must figure out which accounts to prioritize, while navigating increasingly complex payer policies. Advanced data analytics and automation can be used to make these processes more efficient. Similarly, automated patient collections software can screen and segment patient accounts to allow staff to quickly prioritize those with the highest probability of being paid. Collections Optimization Manager offers convenience and clarity to staff with an easy-to-use interface, while targeted collections strategies facilitate conversations with patients based on accurate information and fewer calls and emails. Speed and accessibility create a better experience all around for both patients and staff. Using automated solutions to reduce the pressure of the healthcare staffing crisis Cox says, “Over the last few years, Experian Health has focused on helping providers and payers solve the immediate challenges associated with a remote workforce and staffing constraints while scaling services in response to surging demand. Integrating automation with self-service tools is just the beginning. Our vision is to continue driving innovative and automated solutions that will improve care outcomes and transform our clients' healthcare operations.” These are just a few examples of how automation can create new opportunities for healthcare providers. Digital processes that were once considered merely “nice to have” are now critical components to alleviate the healthcare staffing crisis and deliver positive patient experiences. Contact us to find out more about how Experian Health can help your organization use automation to alleviate the healthcare staffing crisis.

In today's digital world, it's easy to access information with just a click. But despite being constantly connected, many patients find themselves lacking the vital information they need to navigate their medical journey successfully. Waiting weeks or months for appointments and dealing with confusing medical jargon on forms can create additional stress. Additionally, limited office hours make it difficult for busy patients to receive important information. Closing the patient engagement gap is just as crucial for providers: delays and misunderstandings lead to scheduling gaps, poor productivity, missed reimbursement opportunities and costly no-shows. Automated patient outreach has the potential to eliminate these challenges. By implementing the right strategy, providers can establish better communication with patients, anticipate their needs, optimize care plans, and provide improved patient experiences. This approach allows staff resources to be utilized more efficiently and effectively, resulting in better health outcomes and financial performance. It's a win-win situation for both patients and providers. What is patient outreach? Patient outreach refers to proactive efforts by a healthcare organization to educate, inform and engage patients in their healthcare journey. Effective patient outreach strategies may include sending patients prompts for health checks, appointment reminders, test results, and information about billing and payment. Ideally, communication will be initiated through whichever channel the patient finds most convenient, whether it's a phone call, text message, email or patient portal. If patients are supported to stay engaged in their care, they will be more likely to adhere to care plans and take the necessary next steps. Leveraging the benefits of automated patient outreach While online self-scheduling, digital patient registration and contactless payment methods deliver the convenience and choice patients desire, automated patient outreach goes a step further to improve patient access and close more gaps in care. Interactive voice response (IVR) and text messaging (SMS) campaigns are helping providers reach out proactively and efficiently to scale scheduling efforts without pulling in additional staff resources. Here are just a few benefits that providers see as a result: 1. Extended outreach capabilities Automated patient outreach surpasses traditional call centers in its ability to effectively reach multiple patients with timely and accurate information. This advanced technology allows for thousands of automated calls per day, eliminating the need for manual facilitation by agents. For instance, SMS and IVR campaigns empower patients to self-schedule appointments without requiring a phone call. Call center agents can easily identify patients who have not booked appointments and follow up accordingly. For those who prefer booking by phone, automated outreach provides a queue callback feature, ensuring that patients are promptly connected to an available agent instead of waiting on hold. This allows agents to efficiently work through the queue. 2. Increased appointment bookings Reaching more patients means more booked appointments, and in turn, fewer gaps in care. Experian Health's patient outreach technology automates the entire scheduling process, from guiding patients to best-fit appointments to issuing reminders to reduce no-shows. Real-time scheduling information ensures that canceled slots are offered to other patients, so those patients can see their doctor sooner, and the doctor's time doesn't go to waste. Convenient self-scheduling options can also increase patient satisfaction and loyalty, which can benefit both patients and providers - by ensuring timely access to care and better use of healthcare resources. 3. Better adherence to treatment plans and fewer unplanned admissions Strategic communication can also help patients stick to medication schedules, book follow-up appointments and make lifestyle changes that will reduce the risk of complications and improve their health overall. This is particularly helpful for chronic disease management and post-operative care, where post-discharge engagement allows providers to monitor and catch any issues before symptoms get worse. A 2022 evaluation of automated text message outreach found that this technology can reduce the risk of 30-day hospital readmission by 41%. 4. Improved patient engagement and satisfaction In today's world, phone calls dominate healthcare communications. But is that always convenient for patients? What if they are at work when their provider calls? In such cases, would they prefer a text message or an email? With reliable consumer data, providers can select the channel that patients will be most likely to engage with. Experian Health's State of Patient Access survey 2.0 found that patients appreciate proactive outreach, though many say this doesn't always happen. Providers that can leverage consumer data, combined with automated outreach, will be better placed to keep pace with evolving consumer expectations. 5. Improved collection rates A final important benefit of patient outreach software is evident on provider balance sheets. Inbound and outbound calling with secure, cloud-based dialing software can generate and issue bill reminders and self-pay options to patients. Experian Health's PatientDial solution provides IVR, bill reminders and self-pay options, which reduce the need for agent interaction. If it's quick and easy to pay, then patients will be more likely to clear their bills in a timely manner. For providers, that means higher in-house collection rates and fewer accounts receivable days eating into the bottom line. In 2021, Experian Health's PatientDial solution helped clients collect over $50 million in patient collections, through more than 250,000 IVR transactions. The automated dialer featured helped our clients save 900,000 labor hours, which would have been otherwise spent in manual dialing. Key considerations when implementing automated patient outreach Building a successful patient outreach strategy can be challenging. It's crucial for providers to deliver timely and pertinent information without overwhelming patients already susceptible to information overload. It is crucial that communications are secure and compliant with privacy regulations such as HIPAA, and consistent with the provider's brand to avoid being mistaken for spam. Additionally, any new systems or technology implemented should be easy for both staff and patients to navigate. By choosing a patient outreach solution that offers a user-friendly interface and ongoing support, providers can ensure that staff hit the ground running. Find out more about how Experian Health's automated patient outreach solutions can help providers improve patient engagement and close more gaps in care.