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Could the era of manual claims processing be coming to an end? Experian Health's State of Claims 2022 survey revealed that more than half of healthcare providers have embraced advanced automation, freeing up staff from time-consuming and inefficient manual tasks. Automation has dominated as the key strategy used by providers to reduce denials in the previous 12 months. This evident optimism about technology's ability to address challenges in the claims process suggests that automation is here to stay. However, while automation has cracked open the doors to more efficient claims processing, the predictive power of artificial intelligence (AI) in claims processing can unlock exponentially higher rates of reimbursement. Providers may be increasingly aware of the benefits of automation, but many have yet to step into the world of AI. This article considers the advantages to be found in layering AI technology on top of automated claims processing and looks at how two new AI solutions are helping providers reduce denials and expedite payments.  How automation helps with claims processing Healthcare organizations with automated claims processing report improvements in speed, accuracy, financial performance and patient experience. For example: Automated claims management solution ClaimSource® helped Hattiesburg Clinic in Mississippi accelerate cash flow, reduce denials to 6.1%, and expedite claims from secondary and tertiary payers. Summit Medical Group Oregon used Enhanced Claim Status and Claim Scrubber to reduce accounts receivable days by 15% and achieve a first-time pass-through rate of 92%. These tools improve efficiency across the entire claims cycle by automating repetitive tasks, executing effective workflows and generating data-driven insights into root causes of denials so staff can prioritize high-impact tasks and errors are far less likely. Industry reports corroborate these positive results: CAQH reports that the medical industry could save as much as $22.3 billion per year through further automation. Unlocking the untapped potential of AI in claims processing Despite automation's impressive results, claim denials remain a thorn in the side of many revenue cycle leaders. This is where AI can help, thanks to its ability to predict and respond to payer behavior and claims data. But while 51% of survey respondents were using automation, only 11% had introduced AI-based technology to their claims process. For the AI-curious, combining automation and AI could be a good starting point to supercharge claims processing. AI technology can predict potential issues before they even occur by analyzing claims and denials and making suggested corrections or interventions in real-time. It can also assist in identifying fraudulent claims and denials, leading to improved claims processing accuracy and revenue cycle management. By using automation and AI together, healthcare providers can gain better insights into their claims and denial data, resulting in improved financial performance and greater efficiency. What does that look like in practice? More efficient and accurate claims predictions Automation can relieve staff of manual data handling activities, increasing the speed and accuracy of claim processing, from patient intake through scrubbing, submission and adjudication. AI enables staff to perform remaining tasks with greater confidence and accuracy. They no longer need to wonder, “which claim should I rework first?” – AI has the answer. Without AI, the logical approach would be to rework what appear to be the highest-value denials first. But in many cases, these aren't the ones most likely to result in reimbursement. AI can help staff prioritize by analyzing historical payment data and undocumented payer adjudication rules to flag denials that are most likely to be paid. This is exactly how AI Advantage™ – Predictive Denials works. Experian Health's new AI-based solution checks for any changes to the way payers handle denials and assesses these against previous payment behavior. Providers can set their own threshold for the probability of denial, and if the solution determines that a claim will exceed this threshold, it alerts staff so they can act quickly and decisively before the claim is submitted. Schneck Medical Center was an early adopter of this tool and used it to complement their existing claims workflow (built around ClaimSource®). Within six months, they saw average monthly denials drop by 4.6%. Predictive alerts allowed staff to focus efforts on submitting clean claims the first time, so both the number of denials and hours spent reworking them were drastically reduced. “Learning” from denials data to drive financial performance By definition, automated claims processing systems will repeat the same tasks over and over. This is great for operational efficiency but has limited capacity to handle variation. A major advantage of an AI-based solution is its capacity to “learn” and predict, so each claim can be individually assessed and directed to the most appropriate workflow. AI Advantage™ – Denial Triage uses advanced algorithms to identify and intelligently segment denials so that providers can prioritize accordingly. Just as Predictive Denials uses historical payment data to predict the claims that may be at risk of rejection, Denial Triage learns from payers' past decisions to predict the denials that are most likely to be reimbursed if reworked. Read more about Schneck Medical Center's experience with AI Advantage. How does using AI benefit healthcare staff? The use of AI in claims management can be met with different reactions: some staff are enthusiastic about the prospect of having manual tasks taken off their plate and being able to use their time more effectively. Others may be concerned about the impact of AI on jobs and recruitment. The reality is that many providers face ongoing staffing shortages, and therefore have little option but to augment their existing teams with new technology. Maintaining pre-pandemic headcounts in light of post-pandemic work patterns and budgets may not be possible. Automation and AI can resolve these short-term challenges while generating a positive ROI in the long term, as the volume and complexity of claim denials continue to grow. As noted in the State of Claims 2022 report, technology should no longer be viewed as a threat to jobs, but as a way of making life easier for staff. Automation and AI work hand in hand to execute tasks that many staff find time-consuming and laborious, leaving the more stimulating and high-value tasks for the human workforce. Improving operational performance can therefore have a positive effect on job satisfaction and retention. The integration of AI in claims processing is not about replacing human expertise, but about harnessing the power of AI-powered algorithms to enhance efficiency and minimize denials. The optimal approach lies in combining the strengths of automation, AI and staff. Automation handles repetitive processes, AI expedites decision-making, and human expertise brings contextual understanding and empathy to the process. Learn more about how Experian Health can help organizations utilize AI in healthcare claims processing with AI Advantage.

American consumers may be more optimistic about the state of the economy, but concerns about healthcare costs are always top-of-mind. A survey by Experian Health found that 40% of patients would cancel or postpone care if they were not informed of costs in advance. Planning for medical expenses can be a struggle for families facing rising costs and increasing deductibles. With profit margins under increasing pressure, providers must make constant improvements to patient collections processes to help patients navigate their financial obligations more easily. Finding new ways to maximize patient collections and increase efficiency while reducing friction in the patient experience is more important than ever. Technology and patient collections software offer a way to bridge the gap. This article looks at two case studies that involve leveraging automation and digital technology to create better patient collections processes. Case Study 1: how UCSDH improved patient collections with Collections Optimization Manager Patients are footing more of the bill for healthcare, leaving providers more exposed to each individuals' ability to pay. If patients are unable to pay in full and on time, providers will be left with growing ­– but avoidable – collections costs and an escalating risk of uncompensated care. Given that patients can have different financial circumstances, mailing out uniform statements and hoping they will be paid is a futile effort. Instead, providers should look for opportunities to proactively engage patients with personalized information, delivered earlier in the process. This can help maximize patient collections. One way to determine the most suitable collections strategy for each patient is to use data-driven software like Collections Optimization Manager. This tool helped the University of San Diego California Health (UCSDH) score and segment patients according to their propensity to pay so that each account was dealt with in the most appropriate way. For example, patients with a high likelihood of payment could be sent billing information automatically via inbound call campaigns, and offered self-service options to manage payments. Collections Optimization Manager also enabled UCSDH to automate the presumptive charity process, quickly identify patient accounts eligible for Medicaid or charity support, and direct them to the correct work queue to maximize workforce productivity. As a result, UCSDH increased collections by 250% in a single year, from $6 million to $21 million between 2019-20 and 2020-21. UCSDH also used Coverage Discovery® to track down active commercial and government coverage that patients were unaware of. More than $5 million was found in 2021 that would otherwise have been written off. For UCSDH, being able to provide a compassionate patient collections experience has been central to this success: “We serve our patients well when we can explain their bills, what's been covered by their insurer and what payment options they have, so they feel confident in what is owed and why.” Terri Meier, System Director of Patient Revenue Cycle, UCSDH Case Study 2: how Kootenai Health streamlined eligibility checks with Patient Financial Clearance Another way to provide early clarity is to make sure patients aren't missing out on Medicaid assistance. However, this can be a time-consuming and labor-intensive exercise when attempted through manual processes. Because Kootenai Health needed a more streamlined workflow to screen patients for financial assistance, they implemented Patient Financial Clearance to assess and assign patients to the right pathways and programs, based on their specific circumstances. Patient Financial Clearance uses credit and non-credit data to identify patients missing out on Medicaid or charity assistance in real-time. It automates screening and document-gathering, reducing the manual burden on staff while improving the patient experience. Verifying Medicaid eligibility early prevents patient accounts from being sent down long and expensive collections pathways that would never result in payment. Kootenai's Financial Counseling manager reported that thanks to Patient Financial Clearance, “One of our patients with a $200,000 bill answered a few questions and was found eligible for Veterans benefits. With our previous vendor, we would have written the account off to charity.” In just 8 weeks, Patient Financial Clearance saved Kootenai 60 hours of staff time by automating the presumptive charity process and eliminating unnecessary applications. It also maintained an 88% accuracy in determining the right financial assistance program for the right patient. As Medicaid continuous enrollment under the COVID-19 public health emergency declaration comes to an end, uncertainty around eligibility is likely to increase. Taking steps to verify patients' status quickly and efficiently will be even more important. Bottom line: Maximize patient collections by making it easy to pay These are just two examples of how providers are using automation and digital technology to improve patient collection processes. In addition to screening and segmentation, providers can further tailor the financial experience by offering patients realistic payment plan options to make bills more manageable. Patients are provided with a range of convenient, self-service payment options to settle their bills according to their preferred method. Tools like Patient Financial Advisor allow patients to receive a text message with a link to a clear breakdown of their bill and the option to make a payment right from their mobile device. Find out more about how Experian Health's patient collections software and payment tools can help providers stop chasing the wrong accounts and deliver a proactive and personalized financial experience for patients.

As healthcare providers strive to deliver the highest quality care, it’s critical to understand the importance of improving the patient experience. Patient experiences can have a huge influence on overall healthcare quality and long-term outcomes. This is good news for patients, who consistently say they value healthcare encounters that surpass expectations. Research by Experian Health and PYMNTS in 2022 uncovered frictions in the patient journey, with patients commonly frustrated by poor communications, confusing and time-consuming administrative processes, and a lack of digital choices. In 2023, patients sent a clear message in response to the State of Patient Access 2023 survey: more than half of those who think patient access falls short of expectations would consider switching providers for a better experience. Creating an outstanding patient experience built on empathy, choice and personalization is therefore key to retaining loyal and happy consumers. Healthcare providers should utilize digital tools to offer timely access to services, clear and comprehensive communications, and a tailored approach to patient engagement to foster patient satisfaction – or risk losing patients to their competitors. Why the patient experience matters The patient experience is a gateway to the healthcare system. It encompasses every step the patient takes while seeking and receiving medical care. This goes beyond the clinical aspects of care and includes all the systems and strategies that determine a patient’s access to care. From the moment they book their appointment through their clinical care and final bill payments, each interaction is an opportunity to make or break a patient’s satisfaction with their provider, so improving the patient experience is crucial. The connection between patient loyalty and a provider's revenue is undeniable. However, it is important to recognize that the patient experience plays a significant role in health outcomes. Inefficient systems can lead to missed appointments, while confusing billing practices can prompt patients to postpone care. Adherence to care plans is far more likely when patients are engaged in positive, streamlined and user-friendly pathways. And when patients are positive about their healthcare experience, there are trickle-down effects for staff too, as patient frustrations are minimized and efficient processes ease workload pressures. What does a quality patient experience look like? Alex Harwitz, VP of Product, Digital Front Door, at Experian Health, says that a high-quality patient experience should encompass three things: “Choice, flexibility and convenience are themes that have come through strongly in each of our patient surveys. Patients are more mobile and more digitally active, so they expect services to be available on demand. They have a diverse range of schedules, responsibilities and preferences, and providers need to accommodate these variations so accessing care feels easy and convenient. Providers that leverage digital technology to deliver a patient-centered experience will see higher levels of patient engagement, better health outcomes, and a healthier bottom line.” Key factors affecting patient experience Clinical care: It goes without saying that the quality of clinical interactions is a major determinant of the patient experience. Unfortunately, clinical staffing shortages are putting pressure on providers, particularly in rural and low-income areas and in specialties including primary care, obstetrics, and psychiatry. More than a third of nurses say they plan to leave their jobs. Automation and digitally enabled self-service technology could help make workloads more manageable, as well as improve patient outcomes and close gaps in care. Administrative processes: The convenience of booking appointments, registering for care, and navigating billing systems can greatly impact how patients perceive the quality of their care. Efficient and accessible online scheduling, simple and transparent billing, and a choice of channels through which to access information can all play a role. Staff friendliness and availability can also affect patient perceptions. Logistical factors: If patients can’t actually get to a healthcare location easily, this will have a negative impact on their experience. Opening hours, accessible facilities, cleanliness, parking and transportation are factors to consider. How to improve the patient experience (by opening the digital front door) For healthcare providers, there’s always a new delivery challenge around the corner. But it’s also easier than ever to improve the patient experience, thanks to digital technology. Online self-scheduling allows patients to book appointments 24/7 in a convenient and flexible way. Patients can see real-time appointment availability so they can see their doctor as soon as possible, and receive automated reminders so they don’t miss their appointment. Improving the management of cancellations and rescheduled appointments leads to more efficient use of doctors' time, leading to enhanced clinical experiences for patients, too. Targeted patient outreach solutions complement this, by helping providers schedule more visits with automated text messages and interactive voice response campaigns. Patients can book appointments and make payments right from personalized messages, instead of waiting for call centers to open or having to pay through slower traditional methods. Similarly, automated registration using patient intake software and patient portals allows patients to handle pre-appointment administration more easily. Recent data from Experian Health and PYMNTS found that a third of patients choose to fill out registration forms using digital methods, while almost two-thirds would change providers to one that offers a patient portal. In addition to delivering a consumer-oriented experience, automation relies on robust data, which reduces the risk of errors on patients’ records, in turn preventing delays and confusion. Finally, offering digital price transparency and payment tools is an essential strategy to meet patients’ expectations and help them figure out better ways to pay their bills. More than 6 in 10 patients who have received an unexpected bill or inaccurate estimate would switch providers, which again points to the competitive advantage in opening the digital front door. Proactive price estimates, support to find missing coverage, and tailored payment plans make the financial journey far less stressful for patients. Patient Financial Advisor can bring these elements together and give patients the option to make online payments, boosting patient collection rates. To enhance the patient experience, it is crucial to identify the moments when patients can be provided with support and reassurance. However, the impact of this goes far beyond patient satisfaction. By focusing on improving the patient experience, a chain reaction of advantageous outcomes occurs throughout the entire healthcare ecosystem, including improved revenue. Learn more about how Experian Health's digital solutions can help healthcare organizations focus on improving the patient experience.