Tag: Claim Scrubber

What's weighing on providers' minds as we head into 2024? According to a 2023 Medical Group Management Association (MGMA) survey, an overwhelming percentage of providers are wondering how to speed up prior authorizations. The answer: automation and electronic prior authorizations. The 2023 MGMA Annual Regulatory Burden Report surveyed executives representing more than 350 group practices about the impact of federal policies and regulations. The MGMA is the nation's largest association focused on the business of medical practice management. Respondents cited a growing volume of pre-authorizations as a key challenge, along with complex coding requirements, lengthy response times, and delays in treatment. Survey results showed that prior authorizations are a pervasive issue: 89% of respondents called pre-authorizations either “very” or “extremely” burdensome. 90% said the regulatory burden has grown in the past 12 months. 92% had hired additional staff to deal with prior authorizations. 97% said patients had experienced delays or denials due to pre-authorization requirements. 97% said a reduced regulatory burden would allow resources to be reallocated toward patient care. Neeraj Joshi, Director of Product Management at Experian Health, sees the issue as complex but solvable: “Providers have to get ahead of the constant changes in regulations and payer rules, while also overcoming the operational limitations inherent in manual processes and the industry's ongoing staffing shortages,” he says. Joshi shared his perspective on the state of pre-authorizations going into 2024—and what may be ahead as providers consider automation and new technologies surrounding electronic prior authorizations. Here's where he sees the industry heading in the year to come. Q1: What feedback have you received from providers about the challenges they face, and how is this feedback shaping the development of Experian Health's solutions? “The feedback from providers is clear: They highlight the challenges of managing an increasing volume of pre-authorizations, the complexity of payer rules, and the burdens of manual data entry,” says Joshi. “This feedback has been crucial in shaping Experian Health's solutions, leading to the development of tools that automate the pre-authorization process and keep providers up-to-date with payer rules.” Technology plays a key role in helping providers take on these challenges. Case in point: Experian Health's online authorizations solution includes access to a complete payer database that stores and dynamically updates payer prior authorization requirements. Experian Health's pre-authorization Knowledgebase works together with Authorizations software to reduce the manual workload. Automated inquiries work behind the scenes without intervention to maintain a high level of accuracy that improves efficiency, drives revenue, and protects profits. “Features like the Knowledgebase and tools such as Medical Necessity, which automatically checks patient orders against payer rules, and Claims Scrubber, an automated solution that reviews and edits claims pre-submission, reduce the time and effort required to manage pre-authorizations and minimize the risk of errors,” says Joshi. “These tools address providers' specific challenges around maintaining operational efficiency and optimizing the revenue cycle as they navigate a complicated pre-authorization landscape.” Q2: Why are providers increasingly concerned about pre-authorizations now? “A number of factors are contributing,” says Joshi. “Providers' concerns about pre-authorizations have intensified due to the pandemic's impact on healthcare operations, leading to rescheduled care and uncertainties around existing authorizations. Additionally, evolving and diverse payer rules, coupled with manual, labor-intensive processes, have exacerbated these challenges.” Each of these concerns is significant by itself. Together, they create an even greater challenge to operational efficiency. “Providers are grappling with the need to adapt to these changes, often with reduced staff,” says Joshi. “This has increased the administrative burden and complexity of managing pre-authorizations. State-specific regulations, such as New York's temporary suspension of prior authorizations, have added another layer of complexity, creating a landscape where providers must continuously adapt to both national and regional policy changes.” Q3: How do regulatory changes impact the pre-authorization landscape, and how is Experian Health adapting to these changes? “Regulatory changes, including state-specific mandates and evolving payer policies, significantly impact pre-authorizations by introducing new requirements and exceptions,” Joshi explains. As of late 2023, 40 states have enacted prior authorization regulations, with the possibility of additional and amended regulations constantly looming. Additionally, the 2024 Medicare Advantage and Part D Final Rule will change pre-authorization requirements nationwide for patients with Medicare Advantage plans. Payer rules shift constantly—both in response to regulation and independent of it—creating a massive operational challenge for providers. “These constant changes necessitate a dynamic response from healthcare providers,” says Joshi. Outdated manual processes simply aren't up to the task, least of all when staffing is limited. “Experian Health helps providers adapt by continuously updating its platforms and solutions to align with the latest regulations and payer policies. This includes integrating real-time updates and automating the process of keeping track of changing requirements, thus ensuring that providers using Experian Health's solutions are always working with the most current information.” Q4: What other ways can electronic prior authorization tools help providers address current pre-authorizations challenges? “Leveraging technology to streamline and automate the pre-authorization process is the core advantage,” Joshi says. Electronic prior authorization tools, powered by AI, represent a giant leap forward.  “Adopting solutions that reduce manual workloads, such as Experian Health's Knowledgebase, and dynamic work queues that help operational teams work the exceptions and discrepancies, rather than spending their time handling every authorization transaction, can make complex processes manageable. Emphasizing back-end automation and keeping abreast of the latest payer policies are key strategies to manage increasing patient volumes effectively. “Providers can also focus on implementing patient-facing digital tools to facilitate self-service,” Joshi continues. “A greater emphasis on self-service can reduce administrative burdens without sacrificing the patient experience.” Q5: How do you see the future of patient care being impacted by electronic prior authorizations and other advancements? “The future of patient care is poised to be significantly impacted by these advancements,” Joshi says. “Streamlined and automated pre-authorizations can lead to reduced wait times for patients and more timely access to necessary treatments.” Automating the pre-authorization process and introducing new technologies to deal with an ever-evolving, ever-expanding workflow may also help providers break a difficult cycle of overwork and understaffing. “As the administrative burden on healthcare providers decreases, more resources can be allocated to direct patient care,” Joshi maintains. “This shift will not only improve the efficiency of healthcare delivery but also enhance the overall patient experience, leading to better health outcomes and higher patient satisfaction.” Learn more about how Experian Health can help your organization improve operational efficiency and drive revenue with electronic prior authorizations.

Today, U.S. healthcare providers struggle with three significant challenges affecting care delivery—each resulting from chronic healthcare workforce shortages. Ultimately, these challenges threaten the fiscal health of the country's most critical care safety nets. Over 80% of the healthcare C-suite say the chronic staffing shortage creates significant risk for their organizations. The effects of healthcare staffing shortages are severe - Experian Health's recent survey of revenue cycle leaders found these executives unanimously agreed that staffing shortages impact cash flow, patient engagement, and the work environment of their current staff. Experian Health’s new survey, Short Staffed for the Long-Term, polled 200 revenue cycle employees to determine the effects of healthcare staffing shortages on patients, the workforce, and their facilities. What did these teams say about the healthcare workforce shortage and the state of care delivery? Find out by downloading the full report. Healthcare providers experience a vicious cycle, and the effects of healthcare staffing shortages can be seen in many different areas. For example, it makes it harder for existing team members to register patients on the front end of the encounter. On the back end, revenue cycle staff face higher workloads and stress leading to preventable reimbursement claims errors and missed collections opportunities. Ultimately, that stress leads to staff turnover, exacerbating the healthcare workforce shortage. This article dives into three effects of healthcare staffing shortages and how providers can combat them. Result 1: Short-staffed providers struggle with reimbursement and cash flow. 70% of respondents who say staff shortages affect payer reimbursement also report escalating denial rates. 83% report it's harder to follow up on late payments or help patients struggling to pay their bills. Costs are up, and cash flow is down. Claims denials are increasing by 15% annually. Reimbursement rates continue to decline even as denials rise and patient debt increases. These are the revenue cycle challenges healthcare providers face on top of the chronic healthcare staffing shortage. Healthcare organizations must look for new ways to improve reimbursements while engaging patients and staff to benefit everyone involved. Experian Health's Short Staffed for the Long-Term report noted two of the most significant revenue channels for healthcare providers, claims reimbursement and collections, are experiencing significant challenges. Reimbursement denials tie up cash flow in an endless cat-and-mouse game of revenue collection. HealthLeaders termed 2023 as, “the year of reducing denials for revenue cycle.” Their statistics further reinforce Experian Health data correlating increasing denial rates with the healthcare staffing shortage. Simultaneously, healthcare providers find it harder to collect from patients. High self-pay costs lead to lower patient collection rates. One study showed patient collections declining from 76% in 2020 to 55% in 2021. Providers desperately need a more patient-centered collections process that helps these customers understand their cost obligations and payment options. Integrating automated collections solutions can also help providers do more with less. Healthcare stakeholders must collaborate to devise innovative solutions that prioritize workforce augmentation and streamline financial workflows. Technology can solve these problems by automating manual revenue cycle processes that lead to delayed reimbursements. New solutions that use artificial intelligence (AI) software can help in other areas (like claims denials) to save staff time and reduce workloads. Result 2: A lack of staff directly impacts successful patient engagement. Surveyed staff say 55% of patients experience engagement issues at scheduling and intake. 40% say patient estimates suffer, leading to potential miscommunications in credit and collections. Experian Health's The State of Patient Access, 2023: The Digital Front Door reported patients and providers believe healthcare access is worsening. 87% of providers in the survey blamed the effects of healthcare staffing shortages. Earlier data from ECRI shows patients wait longer for care, and nearly 50% of providers say access is worse. Over 100 academic studies in the past two decades confirm the correlation between poor patient health outcomes and industry staff shortages. Existing staff members may take on heavier workloads to cover gaps in patient care. The resulting fatigue can impact the quality of care delivery. When healthcare organizations are short-staffed, each team member may spend less time with patients, resulting in rushed assessments and potentially missed diagnoses. Staff shortages can impact every phase of the patient journey, beginning with patient scheduling and potentially delayed essential medical services. On the backend, patients suffer when the pressure staff members feel to work faster causes preventable errors leading to healthcare claim denials. Collections suffer, as frustrations mount, and healthcare staff waste time on patients who are simply unable to pay. The adverse effects of staffing shortages in healthcare weaken with technology to improve the patient experience at every stage of their encounter. Better technology lessens the burden of care for staff by automating mundane administrative tasks so every provider can focus on serving patients—not filling out forms. Improving patient engagement starts at the beginning of the healthcare encounter. For example, patient scheduling software can create a seamless online experience that halves appointment booking time. More than 70% of patients say they prefer the control these self-scheduling portals offer, putting access to care back in their hands. Patient payment estimation software creates much-needed healthcare price transparency, improving satisfaction by eliminating financial surprises after treatment. These solutions, combined with automated revenue cycle management software, can streamline healthcare processes and improve patient experiences. Result 3: Overwork is the norm as staff work environments decline and turnover increases. 37% of survey respondents report issues with staff burnout. 29% list the departure of experienced staff as one of their top challenges. Whether in frontend care delivery or backend revenue cycle, overworked and stressed healthcare professionals are more susceptible to making mistakes, diminishing the overall quality of the patient experience. The attention to detail, a critical component in a complex, high-stakes business, may be compromised due to the strain on the existing staff. When a healthcare organization is short-staffed, it increases the stress on the existing employees. In turn, this contributes to higher turnover rates. Job dissatisfaction and increased stress levels create a challenging work environment, perpetuating the cycle of staffing shortages. Recruiting and training new staff to fill these gaps further exacerbate the strain on existing teams. One area that is critically impacted by staffing shortages is seen in claims management, as claim denials continue to increase, which cost American healthcare providers an estimated 2.5% of their gross revenues annually. Billions of reimbursement dollars logjam in the endless cycle of claims submissions, rejections, and manual mitigations. In 2022, the cost of denials management increased by 67%. Revenue cycle staff, stretched to their limits by staffing shortages, will likely continue to make preventable mistakes during patient intake and claims submission. However, automating claims management with a solution like ClaimSource® can help lower denial rates and ease this burden.  This solution delivers increased operational efficiencies and effectiveness by prioritizing claims, payments and denials so that users can work the highest impact accounts first. Other solutions, like Claim Scrubber, can improve claim accuracy before submission, by submitting clean and accurate claims every time. These technologies enable healthcare providers to reduce claims denials while relieving some of the terrible pressure felt by their financial teams to work harder and faster. By automating clean claims submissions, healthcare organizations free up their teams to focus on taking better care of patients—and themselves. Healthcare staffing shortages + manual revenue cycle = Unsustainability What happens to a process that heavily relies on human labor—when there aren’t enough people to go around? In the case of the healthcare revenue cycle, it means staffing shortages heavily impact a hospital's ability to collect revenue. Medical Economics reports that 78% of providers still conduct patient collections with traditional paper statements or other manual processes. In an era of talent shortages, these manual processes bog down the entire organization with no relief in sight. Overwork leads to burnout, a significant problem in the industry that also contributes to staff turnover. But this is exactly how digital technology can solve the healthcare staffing shortage. While AI and automation can’t help providers find the staff they need, it can eliminate manual tasks and reduce errors that lead to more work, staff burnout, and patient care disruption. McKinsey says automation can eliminate approximately half of the activities employees now perform. It could considerably improve the work environments for revenue cycle staff, allowing them to focus on high-value tasks, and engage patients in more caring and personalized experiences. Experian Health offers providers proven technologies to increase revenue, improve patient care, and lessen the strain on existing staff, to combat the effects of healthcare staffing shortages. Contact Experian Health today to get started.

The media has extensively covered the healthcare workforce shortage and its impact on patient care. It's a chronic, dangerous problem that seems to worsen, despite the industry's efforts to staff up. A recent Experian Health survey found severe and long-term implications for revenue cycle management and its impact on provider and patient care. 100% of revenue cycle leaders surveyed agree the pervasive healthcare workforce shortage impacts their facility's ability to get paid. The problem isn't going away; most survey participants (69%) expect recruiting challenges to continue. Furthermore, nine of 10 survey participants admit to a double-digit turnover rate. However, the shortage of qualified labor is impacting healthcare in other areas beyond patient outcomes. The report shows the bottom line is clear: The healthcare workforce shortage impedes the industry's ability to get paid. How can providers solve this? Experian Health's survey, “Short Staffed for the Long-Term,” polled 200 revenue cycle executives to understand the impact of the hiring deficit's impact on provider cash flow. Survey Finding #1: Staffing shortages impede payer reimbursements and patient collections. 32% of survey participants said patient collections is the revenue cycle channel most impacted by healthcare workforce shortage. 22% said payer reimbursements are most affected by staff shortages. 43% said both channels were equally impactful to the healthcare revenue cycle. There was little disagreement in the survey around whether provider revenue cycle suffers from a lack of qualified staff. The debate centered on which reimbursement channel took the biggest hit. Experian Health's staffing survey revealed revenue cycle executives agree that collecting late patient payments is much more complicated now. The worker shortage impedes the ability to manage this process. In an era when many patients put off care due to high out-of-pocket costs, maximizing collections is more important than ever. Short-staffed, overworked healthcare collections teams require the time and tools to optimize the collections process by identifying the accounts more likely to pay. Patient collections teams could also benefit from software that finds financial assistance that could ease self-pay burdens. Collections Optimization Manager saves staff time by automatically determining the most suitable patient collections approach. The University of San Diego California Health (UCSDH) uses this software to segment patients by propensity to pay. It allows collections agents a more efficient, personalized approach to improve the revenue cycle and the patient relationship. From 2019 to 2021, UCSDH increased collections from $6 million to more than $21 million with this solution. Patient Financial Clearance automates screening prior to service or at the point of-service to determine if patients qualify for financial assistance, Medicaid, or other assistance programs. Kootenai Health leverages the software, which increased the accuracy of determining patient financial assistance by 88%, and saved 60 hours of staff time through automation. Together, these tools can ease the healthcare workforce shortage by optimizing and streamlining collections. Survey Finding #2: The healthcare workforce shortage contributes to increasing denial rates. 70% say escalating staff shortages increase claims denials. 92% report new staff member errors are a significant factor in delayed or declined reimbursement. Today, healthcare providers are seeing claim denials increase by 10 to 15% year over year. A lack of qualified revenue cycle staff costs billions annually in preventable revenue cycle errors. 35% of healthcare leaders admit losing more than $50 million yearly on denied claims. The complexities of the revenue cycle particularly challenge new staff; 92% of survey respondents say errors are common. Denied claims ripple across the revenue cycle, tying up staff time and provider cash flow. Ultimately, it is patients and staff who suffer. When hospitals experience restricted cash flow, it can hamper their ability to effectively deliver the highest quality care. When staff stretch to their limit due to the healthcare workforce shortage, they may make more errors, burnout, or quit. Automating the claims process is a necessity in this challenging environment. Tools like ClaimSource® and Claim Scrubber can catch errors before submission, reducing undercharges and denials. Franklin Healthcare Associates, a 100-provider, four-location practice, used Claim Scrubber to reduce accounts receivable (A/R) by 13%. As claims volume grew, the practice decreases its full-time employee (FTE) requirements by leveraging this automated tool. It's one clear example of how technology can stretch staff farther to improve the bottom line. Survey Finding #3 Staffing deficits aren't going away. Close to 70% of respondents believe revenue cycle staffing levels will continue as a problem into the future. Staff turnover is a contributing factor; 80% said their organization's turnover revenue of cycle management staff is between 11-40%. Experian Health's survey confirms that healthcare teams struggle to find qualified staff. Staff turnover is a significant contributor to a revolving hiring door. One survey showed the average hospital turnover rate is 100% every five years. Traditional solutions to the problem include throwing more money into salaries, bonuses, or other perks. Overtime is a go-to remedy for the chronic healthcare worker shortage. But these approaches strain the provider bottom line. A recent Kauffman Hall survey shows: 98% of healthcare providers have raised minimum wage or starting salaries. 84% offer signing bonuses, and 73% offer retention bonuses. 67% experienced wage increases of more than 10% for clinical staff. The American Hospital Association (AHA) states, “Hospitals also have incurred significant costs in recruiting and retaining staff, which have included overtime pay, bonus pay and other incentives.” But what if recruiting isn't the answer to the healthcare workforce shortage at all? Artificial intelligence (AI) and automation software can help cut costs and lessen the workload of existing staff. The latest data suggest providers could save close to $25 billion annually (one-half of what they spend on administrative tasks) if they leveraged these tools. Experian Health's  AI Advantage™ uses powerful algorithms to automate manual claims processes to reduce denial and lessen the volume of tasks for revenue cycle staff. The software works in two critical areas: Predictive Denials proactively cleans claims before they are submitted. The software flags claims at risk of denial, allowing manual intervention for a clean submission—with no denials. Denial Triage manages denied claims by identifying the highest value reimbursements to maximize cash flow. Instead of chasing low-value claims or those least likely to pay, the software prioritizes where revenue cycle staff should spend their time for the greatest return. Schneck Medical Center saw significant ROI from this software in just six months. AI Advantage helped the facility reduce denials by an average of 4.6% per month. Claims corrections that took up to 15 minutes in the past now take under five minutes. Better software can do more than help hospitals get paid faster. Automating revenue cycle management processes frees up staff time. More time and less pressure mean fewer mistakes. Automation can ease the impact of the healthcare workforce shortage Two of the most pressing problems hospitals face today are the healthcare workforce shortage and revenue cycle impediments that keep them from getting paid. These challenges interconnect, and providers can solve them both with better technology to automate time-wasting manual functions. AI and automation in healthcare can cut costs and reduce staff burnout. Deploying revenue cycle software to automate billing, claims management, and collections could save $200 billion to $360 billion in spending in this country. These numbers are real. But so are the numbers showing increasing claims denials, staff burnout, turnover, and difficulties recruiting in the healthcare field. Today, the answer for hospitals to get paid faster is to leverage modern technology to improve the revenue cycle. Learn more about how Experian Health's revenue cycle management solutions can help automate common processes, and download the new survey to see the latest healthcare staffing shortage stats.

Artificial intelligence (AI) is cropping up everywhere. But it's about to make an even bigger splash by revolutionizing how providers handle HCM (healthcare claims management). In healthcare, the claims process is a real source of frustration. Thirty-five percent of healthcare providers say they lose more than $50 million annually in denied claims. That's a lot of money lost for healthcare providers after care is delivered to their patients. As industry costs rise, healthcare claims management becomes an unsustainable financial drain for providers, who have no choice but to push these costs back to the patients they're trying to serve. Using AI for claims management has numerous benefits - and with denied claims on the rise, healthcare providers will need to incorporate this technology or risk leaving millions on the table. AI Advantage™, Experian Health's innovative predictive analytics software, uses AI in claims processing to help providers expedite reimbursement and improve cash flow. This software takes the unsolvable Gordian Knot that is U.S. claims reimbursement and untangles it for faster reimbursement, better cash flow, and less wasted time. Understanding AI in Healthcare Claims Management The odds are stacked against providers before the patient ever visits their practice. One patient claim can go through 20 or more checkpoints before the payer approves reimbursement. Denied claims are much less likely to be paid, and 89% of hospitals say denial rates are rising. An Experian Health survey said the three most common reasons for medical claim denials include: Missing or incomplete prior authorizations Failure to verify provider eligibility Inaccurate medical coding Without question, healthcare claims denial management must include better training for staff to file claims without error. Providers need accurate patient data upfront, with standardized verification processes at each step in the process.However, healthcare providers can reduce or completely avoid many common reasons for medical claim denials by using AI in claims processing. AI claims management software provides “teachable moments” for staff by sharing claims management errors at the front-end of processing before submission and possible rejection by the payer. Tom Bonner, Principal Product Manager at Experian Health, says, “Healthcare providers everywhere ask themselves: How can we reduce claims denials? But we have the technology to go even further. By using AI in claims processing, providers can avoid claims denials altogether by proactively spotting and correcting the human errors that slow down reimbursement before the claim is submitted to the payer.” Top Benefit of Using AI in Claims Processing - Providers Avoid Claims Denials AI and automation are the one-two punch providers need to improve healthcare claims processing. Using AI healthcare claims management software helps organizations avoid claim denials far upstream — before it occurs. AI Advantage - Predictive Denials is a preventative tool that proactively stops bad claims before they turn into costly denials. This AI-driven healthcare claims management software works in two key ways: By proactively identifying undocumented payer adjudication rules potentially resulting in denials. By identifying claims with a high likelihood of denial based on an organization's historical payment data. Schneck Medical Center improved their claims management processing by using AI Advantage - Predictive Denials to first identify error-prone claims. When the automated system spots the probability of a denial, it triggers an alert that routes the claim to an investigative biller. The AI carefully scrubs the claim, checking coding errors, authorization status, insurance eligibility, and more. Once the agent resolves these errors, they can successfully submit the claim to the payer. Using AI in claims processing leads to improved accuracy and fewer rejections for better revenue cycle management. After leveraging these tools for six months, Schneck Medical Center reduced denials by 4.6% on average per month. Benefit #2 - Healthcare Claims Management Software Speeds Denials Mitigation But what if a claim makes it through to the payer and they deny it? Denial management is a tedious, time-consuming process that impedes cash flow. AI Advantage - Denial Triage uses advanced algorithms to segment denials based on their potential value, allowing billers to focus first on high-value claims to maximize the revenue cycle and quickly reduce the denials queue. AI in reimbursement processing increases the speed of healthcare claims management to help staff identify and target the claims that need attention as quickly as possible without wasting time on low-value denials. By using automation and AI, healthcare providers gain better insights into their claims and denial data, resulting in improved financial performance and greater efficiency. Benefit #3 - AI Software Automates Reimbursement for Faster Payment Experian Health offers a streamlined series of standardized, automated tools to help with claims management. From registration, quality assurance, and eligibility on the front-end to claims processing and denials management on the back-end, Experian Health has full lifecycle solutions to prevent and mitigate reimbursement denials. The Experian Health intelligent ecosystem is a comprehensive solution to the untenable healthcare claims denials management process. These tools include: ClaimSource: Voted Best in KLAS Claims Management Clearinghouse 2023, this healthcare claims management software gives providers reimbursement visibility in real-time from one intelligent hub. This software helps providers handle the entire reimbursement cycle. The tool allows end-users to create custom work queues to manage claims more efficiently. It also automates claims, allowing the software to clean submissions before they send. Flagging features let billers know exactly what's wrong with a claim, so staff can repair the error. Ensuring clean claims lessens denials and improves cash flow. Claim Scrubber spots claim errors within 3 seconds, flagging the claim with an explanation of why it needs reworking. Intelligent algorithms identify undercharging to maximize payer-allowed amounts. For medical billers and coders, this tool quickly spots the root causes of claims denial, faster and more accurately than doing it by hand. Enhanced Claim Status connects billers quickly to denied, pending, returned-to-provider, or zero-pay transactions well before the EOB or Electronic Remittance Advice forms process. Instead of waiting 30- or 45 days to review a denied claim, this software lets teams see the problems online in real time. It's an immediacy that's been missing from both front- and back-end claims management processes, allowing real teaching moments for revenue cycle teams. Denials Workflow Manager: Eliminates manual processes and allows providers to optimize the claims process. Providers no longer review claims manually, instead using computer automation to optimize follow-up activities. Claims management teams can quickly identify and target the claims needing attention quickly. Powerful features leverage root cause analysis to identify trends leading to claims denials. These platforms easily integrate with existing practice management and electronic health record software. They work well together or ala carte to increase the accuracy of claims documentation to eliminate denials. A successful strategy for reducing claims denials starts with AI and automation software. Healthcare organizations can reduce the time spent processing rejections and improve A/R by flagging at-risk claims. Ultimately, healthcare claims management software solves the complexities inherent in these processes. Higher patient satisfaction and greater provider revenues are possible. Talk to Experian Health today to see AI in claims processing at work.

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.'  

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.

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.

Full implementation of the Appropriate Use Criteria program has been indefinitely delayed, giving providers more time to prepare. The Centers for Medicare and Medicaid (CMS) introduced the consultation mandate to ensure that advanced diagnostic imaging services would be provided to Medicare beneficiaries only where medically necessary. Originally slated to commence in January 2022, the penalty phase had already been pushed back until January 1, 2023, at the earliest, due to logistical challenges and concerns about the administrative burden on providers. While penalties for non-compliance won’t kick in just yet, claims submitted before full implementation could still be subject to denial. Providers should take advantage of the extended educational and operations testing period to stress-test their pre-claims infrastructure for any Medicare claims that would fall under the program or that require other forms of pre-authorization. This means implementing alerts to comply with the Appropriate Use Criteria program and prior authorizations requirements To support providers to manage these changes, Experian Health’s Prior Authorizations solution now includes informational alerts for Medicare plans where a patient order needs to comply with AUC or requires prior authorization. Recap: what the Appropriate Use Criteria program means for providers The AUC program requires providers to consult a Clinical Decision Support Mechanism (CDSM) any time they want to order specific advanced diagnostic imaging services for certain Medicare outpatients. The CDSM online portal will check the patient’s record to confirm whether AUC requirements apply. The ordering physician must pass on this information to the imaging services provider. Any physicians whose ordering patterns are considered outliers will need to seek prior authorization. The process for this hasn’t yet been determined. To secure reimbursement for diagnostic imaging services, imaging service providers will need to have the appropriate certificate of compliance. This means that while the administrative responsibility lies with the ordering provider, the financial consequences of non-compliance sit with the service provider. That may or may not be the same facility. Clear communication, robust records management and interoperable data will be essential to avoid claim denials. Pitfalls of manual prior authorizations and pre-claim reviews Many healthcare providers still rely on manual paperwork for prior authorizations and pre-claim reviews. However, these processes are inefficient and prone to error, especially as claims increase in volume and complexity. The Council for Affordable Quality Healthcare (CAQH) estimates that manual status inquiries take up to 30 minutes each, with automated alternatives reducing this by up to a third. The financial impact is compounded by staff time wasted on unnecessary rework, non-compliance penalties and denied claims. Automated compliance checks can help ensure that no pre-claim requirements are missed. With tools such as Experian Health’s online prior authorizations solution, claims are more likely to be complete and compliant, denials will be less likely, and staff will be able to work more efficiently than if they attempt the process manually. This online service automates prior authorization inquiries with auto-filled payer data, only prompting users when their involvement is needed. Inquiries take place behind the scenes, using dynamically updated knowledgebase stores. Now, the knowledgebase will facilitate quick checks to see if a procedure also requires AUC adherence and alert users accordingly. Enhanced automated pre-claim checks for cleaner claims the first time The new informational alerts are the latest enhancement to Experian Health’s pre-claim management solutions to help providers stay compliant. Earlier in 2022, the Medical Necessity application was adapted to include informational alerts when a procedure needs AUC adherence or prior authorization for Medicare patients. Medical Necessity prevents denials and fines by automatically validating medical necessity checks for Medicare claims. Beyond requirement checks for Appropriate Use Criteria and prior authorizations, automation can also be used to improve other aspects of claims management increase claim accuracy and avoid denials. For example, Claim Scrubber reviews each claim line-by-line, verifying that the claim is coded correctly before it’s submitted to the clearinghouse or payer. Claim Scrubber generates general and payer-specific edits, which now also include AUC adherence checks. Users receive alerts with detailed explanations of why a claim was flagged, so modifications can be made before the claim is submitted. These tools integrate seamlessly with electronic medical record systems so claims and patient orders can be checked against payer rules for medical necessity, frequency, duplication and updated modifiers, and to ensure patient information is current. This also facilitates a more reliable exchange of information between all those involved in the provision and reimbursement of healthcare services. Not only does this promote compliance with Medicare rules and reduce the risk of penalties and denials, but it also promotes better communication between healthcare organizations to deliver high-quality care and a better patient experience. Find out more about how Experian Health’s enhanced pre-authorization solutions support better claims management and help healthcare providers comply with Appropriate Use Criteria and other prior authorizations requirements.

Automated claims processing could solve one of the biggest challenges currently facing healthcare providers: maximizing reimbursements by minimizing denied claims. Denials have been steadily increasing over the last few years. An MGMA Stat survey found that nearly seven in ten providers witnessed a jump in denials during 2021, although the trend took hold even before COVID-19 hit. If providers rely on outdated systems and tools to process the growing volume of claims, it's inevitable that denial rates will continue to climb. It's not surprising then that a new Experian Health survey revealed almost 3 in 4 providers stated that reducing claim denials takes precedence over other priorities. Getting claims right the first time is no easy task. Traditionally, the claims management process has been labor and time intensive. Claims teams spend hundreds of hours gathering documentation, preparing claims for submission, engaging with medical clearinghouses, and then monitoring claims adjudication while they await the payer's verdict. Should a claim be denied, more staff hours may be required to rework it for a second attempt at reimbursement. Even if administrative budgets and staffing numbers increased in line with demand, inefficient manual systems can no longer bear the burden of data to be managed. With more providers heading into the danger zone of claim denials, automated claims processing tools are growing in popularity. These enable more efficient claims management, boosting productivity, easing pressure on staff, and above all, minimizing denials. Experian Health's survey found that 78% of providers are open to replacing current technologies if they are presented with compelling ROI projections, reflecting the urgency of the situation. What is automated claims processing? Automating claims involves the use of digital technology, software, machine learning and advanced analytics to optimize healthcare claims management. This can include: pre-filling data into digital forms to avoid data input errors using intelligent document processing to pull unstructured information into a single, usable format comparing data from multiple sources and flagging inconsistencies providing real-time insights and status updates allowing multiple parties to work from interoperable data Tools such as robotic process automation (RPA) can be used to replace manual activities, using data, logic and business rules to make decisions within certain parameters. This eases pressure on busy staff and improves efficiency, for example, when prioritizing claims to be reworked. Imagine how much faster a software program can synthesize hundreds of current and historical data points, compared to a human trying to do the same job. There are opportunities to automate just about every stage of the claim lifecycle, from the patient's first interaction with their provider to reimbursement. For example, automation can be used to: Streamline patient onboarding and automate identity checks to avoid errors in patient information Verify insurance eligibility and run continuous coverage checks to see if the patient's status has changed Maintain a complete electronic health record that follows the patient throughout their healthcare journey, so claims contain correct information Track payer policy changes and apply custom edits so that coding information is correct Scrub claims to find and fix any errors before they are submitted Submit claims to payers and monitor the claims adjudication process Optimize the denials management workflow and prioritize denied claims for resubmission Verify reimbursements and initiate patient billing processes. Virtually any repetitive, process-driven, or paper-based task from claim creation to claim reimbursement is an opportunity for automation. As technology advances, so do the opportunities to streamline operations, reduce time to reimbursement, optimize decision-making, reduce costs and improve the patient experience. Here are the 5 benefits of automated claims processing: 1. Automated claims processing streamlines operations Automation's number one benefit is allowing providers to move away from inefficient and error-prone manual processes. Staff no longer need to sift through disparate and complex coding lists, medical records and payer edits looking for the correct information to attach to a claim. Together with electronic records management, automation allows for standardized workflows, so the entire claims cycle is more consistent, and decisions are based on real-time accurate data. It helps to eliminate time spent searching for missing information, reformatting data to meet payer requirements, and trying to figure out which claims are worth reworking. Multiple digital tools are available to optimize different tasks within the claims processing workflow. But for maximum efficiency, providers should look for solutions that work together within an integrated system. Using a single vendor makes it easier to manage data consistently and simplifies system-to-system interactions. A comprehensive claims management solution also creates a smoother user experience, for example, by allowing staff to check real-time insights within one dashboard, using one log-in. Experian Health's suite of healthcare claims management solutions connects each step in the claims workflow to speed up claims processing. For example, ClaimSource manages the entire claim cycle in a single, scalable online application that serves individual hospitals and physician practices through to large multi-facility health systems. It creates custom work queues and integrates electronic remittance data directly, to allow staff to prioritize high-impact claims and speed up reimbursement. 2. It saves staff time and resources Outdated and clumsy processes can contribute to staff burnout, poor performance and difficulties attracting and retaining top talent, even more so as patient volumes return to pre-pandemic levels. By removing many time-wasting manual tasks, automated claims processing allows staff to use their time more productively. It's particularly important amidst ongoing staffing shortages, which put additional strain on existing staff. Some of the most time-consuming manual activities occur in the prior authorization workflow. Prior authorizations are also a common cause of claim denials. Because payer requirements around prior authorizations change frequently, staff must painstakingly check each payer's website before submitting authorization requests to ensure that the necessary documentation is in place. Once submitted, they must log in to different payer portals to track progress. According to the American Medical Association, some physician practices spend more than two full days processing prior authorizations each week. But with automated prior authorizations, staff can prevent delays and denials. Online prior authorizations automate inquiries and submissions without the need for user intervention, instead drawing on payer data that are already updated and stored in the system. It auto-fills the necessary information and flags where manual intervention is required. It can initiate more authorizations in less time, and guide staff to the highest-priority tasks using dynamic, exception-based work queues. By reducing the error rate, automation also facilitates faster claims processing, which means payments can be processed and issued more quickly. 3. Automation generates more accurate and actionable insights Automation doesn't just save time; it also gives staff greater clarity and control over the claims process. Automated digital solutions facilitate more reliable data management to reduce errors, and generate real-time insights based on accurate information. A large proportion of claims are denied because patient information doesn't match the payer's records. This can be easily avoided using robust electronic medical records that hold data in standardized formats and automatically populate forms with the correct information. Electronic data management also gives staff richer and more reliable insights, by pulling together all the information they need into a single, accessible interface. Using an automated tracker such as Denial Workflow Manager makes it easy for staff to monitor claims, denials and remittances in one place. Not only does it track denials, holds, suspends, zero pays and appeals, but it also provides detailed analysis to help root out the causes of denials, so they can be avoided in the future. Staff can immediately see which claims need attention and resolve them much more quickly, as opposed to using manual processes. Enhanced Claim Status complements Denial Workflow Manager by automatically generating work lists for staff, complete with actionable data to help them check off the tasks quickly and accurately. The software sends automated status requests based on each payer's claims adjudication timeline, to see if claims are pending, denied, returned-to-provider or zero-pay transactions. This takes place before the Electronic Remittance Advice and Explanation of Benefits are processed, so staff can respond quickly and avoid unnecessary denials or delays. 4. Faster claims processing equals faster payment According to the Council for Affordable Quality Healthcare (CAQH), the time saved by switching from manual to electronic claims processing could save the medical industry up to $1.7 billion each year. The increase in accuracy leads to more first-time pass-through rates and optimized decision-making around which claims to rework. While automation requires some upfront investment, the output tips the balance in favor of faster, higher reimbursements. Experian Health's Claim Scrubber solution is one example of how automated claims processing can reduce undercharges and denials, optimize staff time and improve cash flow. This program reviews each pre-billed claim, line-by-line, to check that coding details are accurate. It then applies general and payer-specific edits and verifies that the claim is free of errors before it's submitted to the payer or clearinghouse. As a result, more claims are correct – and therefore paid – the first time, and staff can spend less time chasing old accounts receivable. Case study: Read how Summit Medical Group Oregon – Bend Memorial Clinic reduced A/R days and volume by 15%, and achieved a 92% clean claims rate with Claim Scrubber and Enhanced Claim Status. 5. Automation can transform the patient experience Getting claims right the first time starts at the beginning of the patient journey. A digital patient access experience is more convenient and satisfying for patients and helps prevent errors that can lead to denied claims later. Patient contact information can be automatically pre-filled so the patient can check for errors. If a patient adds new data when they're scheduling or registering for care, that information can be automatically checked against the data already on file, and flagged if there are inconsistencies. Further along, the efficiencies afforded by claim process automation mean patients don't have to wait so long for confirmation that their medical expenses have been handled. Or, if they have an out-of-pocket amount to pay, they'll get clarity about their financial responsibility much sooner. Patient portals are a great tool for helping patients track claims when and where it suits them, rather than having to wait to speak to a call center agent. And by making the claims process more efficient, automation also releases staff from time-consuming repetitive administrative tasks so they're free to support patients with more complex queries. Automation can elevate the customer experience with personalized communications and simplified transactions, from patient access to patient payments. Transitioning to automated claims management As the volume and complexity of claims to be processed increases, providers need to find ways to manage the workload, alleviate pressure on staff and prevent unnecessary revenue leakage. Working with a trusted vendor can ease the transition to automation and maximize potential cost savings. Experian Health provides industry-leading software solutions to improve healthcare claims and denials management so that more claims are clean the first time. In fact, Experian Health was voted as the top claims vendor for hospitals in the 2022 Black Book vendor survey, for the second year in a row. Find out more about how Experian Health's suite of healthcare claims management products can help providers reduce denials, rebilling and drive up reimbursements with automated, clean and data-driven claims processing.