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A recent study by Experian Health found that 62% of healthcare workers consider patient scheduling to be one of the areas hit hardest by staffing shortages. Labor gaps result in delayed patient care, staff burnout, additional hiring and training demands – not to mention snowballing overtime costs. Faced with wide-reaching financial and operational ramifications, healthcare organizations must make a strategic shift in how they manage patient scheduling. For Indiana University (IU) Health, the answer lay in using automation to handle increasing patient volumes with less staff. Justin Baur, Alex Nussman and Josh Brown of IU Health's Patient Access management team partnered with Experian Health to share how guided scheduling has allowed them to scale their operations, optimize staff efficiency and reduce scheduling errors, keeping both providers and patients happy. This article breaks down IU Health's key successes with Patient Schedule (including some that were unexpected), as discussed on the webinar. Discover how IU's strategic shift to automated scheduling not only scaled their operations and optimized staff efficiency, but also significantly reduced scheduling errors, keeping both providers and patients happy. “Guided scheduling helps us deliver better care, more efficiently” Like many healthcare organizations, changing market dynamics forced IU Health to find a fresh approach to patient scheduling. Competitor closures led to an influx of new patients, while the precarious labor market demanded a solution be found within the existing headcount. That solution was Patient Schedule, a digital scheduling platform that uses automation to support convenient patient self-scheduling, more efficient call center scheduling, and targeted patient outreach. IU Health piloted the platform across 52 service lines in 2023. Josh Brown, Program Manager for Provider Match at IU Health, outlined the key results: “We were able to accomplish some significant achievements to set our system up for success in 2024. We've booked over 230,000 patients through Patient Schedule and 35,000 through the Self Scheduling platform. It's as efficient as two schedulers doing similar work. We've had a 3% increase in one call resolutions and 16% growth in new patients since implementation. “Overall, guided scheduling has given us an opportunity to transform our operations by improving our patient access and reducing some administrative burdens. We've seen a reduction in no shows and an increase in patient engagement. By leveraging technology and data analysis, the guided scheduling platform has helped deliver better care more efficiently and effectively.” “Call Center Scheduling helps us minimize training and maximize referral capture rates.” IU Health's Patient Access Centre supports 31 specialties, 24 primary care clinics and radiology scheduling across Indianapolis, handling a total of 2.4 million calls in 2023. Finding innovative ways to meet growing demand was imperative. Justin Baur, Manager of Patient Access and Referral Management, described how Patient Schedule's Call Center Scheduling tool improves the workflow for call center coordinators: “Patient Schedule simplified processes in all our call centers so we can work with more patients and more service lines than before. Coordinators are onboarded quickly and can schedule for more service lines. Patient Schedule builds specialty considerations into the algorithm, reducing the need for subject matter experts. This increases scheduling accuracy, and reduces cancellation and reschedule rates, resulting in more effective visits between patient and provider.” The referral team also piloted Patient Schedule in urgent care and primary care facilities, successfully scheduling specialty referral appointments for patients before they leave their primary care provider's office. In the emergency department, providers can send messages to registration staff to schedule follow-up appointments. Baur says, “checkout staff can schedule patients' referrals within 3-5 minutes, instead of spending 30 minutes making follow up calls to reach those patients.” This reduces wait times, improves continuity of care, and streamlines the entire experience for patients and providers. “Self Scheduling does the work of two full time schedulers.” IU Health's pilot also involved using the platform to allow patients to book their own appointments. With Patient Schedule's Self Scheduling component, patients can make appointments online when and where it's most convenient. The sophisticated decision support technology means they only see relevant calendars and appointment types. During the pilot, almost 40% of patients opted to use self-scheduling, with 28% of those patients succeeding in booking an appointment online, significantly reducing the pressure on call centers. Josh Brown observed that “around 64% of our patients self-scheduled during non-business hours, so we're getting a lot of value-add when we're not at work. This gives us an opportunity to meet the patient when they're available. It enhances patient satisfaction and increases access to care. More than 35,000 appointments were booked using Self Scheduling, without any staff intervention, which Brown said equates to two full-time schedulers. He also observed that the platform is helping to grow IU Health's patient base and reduce no-shows: “We're seeing that the platform is very new patient-focused, with new patients accounting for over 59% of Self Scheduling bookings. With those bookings, we're seeing an 87% show rate.” Guided scheduling: the foundation of efficiency To close, the team explained how Patient Schedule had cut the time taken to secure appointments, by ensuring patients get the assistance they need and eliminating unnecessary paper-pushing. The next steps for IU Health are to roll out Patient Schedule across more specialties. They want to increase uptake of self-scheduling and ensure more patients can successfully book appointments using their preferred method. They also hope to implement location- and diagnosis-specific starting points for online bookings. By 2025, the team hopes to introduce a single phone number to cover scheduling needs across the whole state. Patient Schedule will form a key part of the solution by supporting efficient, centralized scheduling across four additional regions. Watch the webinar to hear examples on how guided scheduling was implemented in specific specialties, and find out more about using automated patient scheduling to create a resilient and efficient scheduling infrastructure that works better for patients, providers and staff.

There is growing concern that the healthcare industry needs more clinical and administrative staff to handle care demands. The crisis affects patients beyond treatment delays or lower care quality. Staff shortages in the revenue cycle create problems with patient engagement, billing, and collections. A recent Experian Health survey reveals unanimous concerns among providers about the challenges posed by workforce shortages. But what are the root causes of staffing shortages in healthcare? Is there a remedy for healthcare organizations struggling to find the talent they need? This article dives into the survey findings and the ways healthcare providers can address staffing shortages effectively. Finding 1: Staff turnover is a significant cause of healthcare staffing shortages. 80% of providers report turnover between 11-40%. Nearly one in 10 say turnover is between 41-60%. The causes of staff shortages were evident before COVID. A rapidly aging Baby Boomer population and limited availability of training in areas such as nursing led to predictions that looming staff shortages were on the horizon. The pandemic exacerbated the situation, leading to a mass exodus of workers and The Great Resignation. Some reports show healthcare lost 20% of its workforce, including 30% of nurses. Today, the average hospital turns over one-quarter of its staff annually, an increase of more than 6% from the prior year. As a result, the State of Patient Access 2023 reported nearly 50% of providers say access to care is worsening. Simultaneously, healthcare is bogged down with administrative tasks. Increasing evidence shows providers must turn to automation software to decrease human workloads and stretch small teams further. These automated tools can: Create a seamless registration process for patients to improve care access, reduce no-shows, and reduce provider administrative burdens. Provide 24/7 patient scheduling and put patients in charge with self-scheduling options Automate patient outreach to increase collections and improve communication. Improve claims management, reduce denials, and free up existing staff from manual tasks. Automation can improve the work-life balance of healthcare staff, potentially closing the revolving turnover door, one of the most significant causes of staff shortages. For example, IU Health implemented automated guided scheduling, which helped scale their operations, reduce scheduling errors and improve staff efficiency. Finding 2: Finding and hiring staff is an undue burden for healthcare providers. 73% of respondents said finding qualified staff is difficult. 61% reported that meeting entry-level staff's salary expectations is a challenge. Healthcare organizations feel the staffing crisis at every level. A recent Medical Group Management Association (MGMA) poll cited the difficulties in hiring revenue cycle staff: 34% of respondents stated hiring medical coders is their biggest challenge. 26% stated billers were difficult to find. One-third said finding schedulers and prior authorization staff is hard. Other hiring challenges included revenue cycle management (RCM) managers. When and if healthcare providers find staff, bringing them into the fold is costly. Experian Health's staffing survey showed most organizations struggle to meet the salary expectations of even the least experienced members of their teams. The causes of staff shortages can be remedied by leveraging new artificial intelligence (AI)-powered tools. Tools like AI Advantage™ can automate and transform claim denials management, a problem costing healthcare providers around $250 billion annually. Experian Health's State of Claims 2022 survey showed the most common causes of denied claims include: Missing or incomplete prior authorizations. Failure to verify provider eligibility. Inaccurate medical coding. AI Advantage reduces denial rates by scrubbing claims and flagging errors before submission. After claim submission, the software prioritizes the most high-value denials for correction to maximize revenue generation. Organizations like Schneck Medical Center use these tools to reduce denials by 4.6% each month. The facility also increased the speed of claims submissions. Tasks that used to take 12 to 15 minutes to rework now process in less than five minutes, lessening the need for hiring more staff and improving the workloads of their existing team. Finding 3: Burnout is a top contributor to staffing shortages. 53% of poll respondents said staff burnout is a key cause of the current staff shortage. 48% said the new expectation for schedule flexibility and hybrid work models also contributes to the healthcare workforce shortage. Burnout is one of the most significant causes of staff shortages impeding high quality care and wreaking havoc on the revenue cycle. The latest data shows the percentages of clinical and administrative burnout in healthcare is approaching or exceeding 50% in most job categories: 56% of nurses report burnout symptoms. 54% of clinical staff. 47% of doctors. 46% of non-clinical staff. Cost-cutting and increasing care demands have led to increasing fatigue in healthcare staff. But technology exists to automate back office functions that could free up staff time. For example, organizations like Kootenai Health saved close to 60 hours of staff time in over 8 weeks by automating the presumptive charity process Patient Financial Clearance. Stanford Health used Collections Optimization Manager to cut 672 hours each month from overburdened back office staff. The COVID pandemic also changed expectations about how and where Americans should work. Remote work became normal; three years post-COVID, 58% of the American workforce report working remotely at least one day a week. The same data also shows that when workers have the chance to work virtually, 87% take it. Healthcare is not immune to the desire for more schedule flexibility. Becker's Hospital Review states, “Many workers desire the ability to work remotely, even if they only get the option a few days a week. Flexibility allows people to maintain work-life balance—and in a high-burnout field like healthcare, balance can be crucial.” Surveys show 31% of healthcare roles are remote full-time while 14% offer this flexibility part-time. The problem is that many healthcare positions cannot allow this flexibility—and the industry competes with others that do. To remain competitive, healthcare organizations must embrace technology to offer work flexibility. Cloud-based digital technology is beneficial in areas like the revenue cycle. For example, automated technology from Experian Health can: Use advanced analytics to streamline workflows. Facilitate patient self-service. Minimize staff time spent on manual tasks. AI-powered automation tools can lessen staff burnout by allowing them to work smarter. These tools provide the workforce with the scheduling flexibility they desire. Eliminate the causes of healthcare staffing shortages with better technology AI and automation technology in healthcare can lessen worker fatigue, lighten workloads, and give administrative workers the schedule flexibility they demand. Experian Health offers healthcare providers better technology to improve the lives of their staff, increase patient satisfaction, and generate more revenue. Download the survey or connect with an Experian Health expert today to learn how we can help your organization tackle the causes of healthcare staffing shortages effectively.

In a strategic move that will take claims management to the next level, Experian Health recently acquired Wave HDC, a healthcare technology company specializing in AI-guided data capture and curation. The acquisition brings together the two companies' capabilities to offer healthcare organizations faster and more accurate healthcare coverage identification. With this acquisition comes Patient Access Curator, a new solution that uses artificial intelligence (AI) to revolutionize the claims management process. Tom Cox, President at Experian Health, says, “With our vast clearinghouse data resources and Wave HDC's technology and expertise in insurance data capture processes, Experian Health now offers the best eligibility and insurance identification products in the market.” This article gives a run-down of Patient Access Curator and how it helps providers prevent claim denials in seconds. Hear our pre-recorded session from our annual Experian Health High-Performance Summit 2024 (HPS), featuring Exact Sciences and Trinity Health, as they reveal how Patient Access Curator helped their organizations automate eligibility, reduce denials, and more, all with a single click. This session offers live Q&A with Experian Health Product Leadership. Register now Prevent denials on the front end Managing claims effectively – or more specifically, preventing denials – is one of the biggest challenges for providers. In a 2022 survey by Experian Health, 72% of respondents said reducing denials was their top priority, citing reasons including payer policy changes, reimbursement delays, and a rise in the number of errors and denials. Most issues that lead to denials crop up early in the revenue cycle, when information is missed or captured incorrectly during patient registration. For this reason, it makes sense to focus denial prevention strategies on the front end. With so much data to capture, manual strategies are bound to stumble. Unfortunately, many digital tools still require staff to check multiple payer websites and data repositories to verify insurance eligibility and check for any billable coverage that might have been missed. Experian Health's industry-leading claims management products are designed to simplify these processes. The integration of Wave HDC's AI-powered data capture technology strengthens that offer with capabilities previously not available. As Cox says: “Our mission is to simplify healthcare, and this move allows us to quickly scale our portfolio with advanced logic and AI-powered technology to help solve one of the biggest administrative problems providers face today, which is claim denials.” For Jordan Levitt, co-founder of Wave HDC, the merger is a chance to bring their unique technology to more healthcare organizations. “We believe this integration will have a powerful impact for the healthcare industry, improving financial solvency and efficiencies for providers through more accurate medical billing, resulting in potentially more reimbursement, faster.” Introducing Patient Access Curator: Claims management in a single click Wave HDC's technology captures and processes patient insurance data at registration using an “if-then” logic that returns multiple data points from a single inquiry, in 30 seconds. Through Patient Access Curator, registration staff can leverage this technology to collect and verify much of the information they need to compile an accurate claim, with just a single click. In a matter of seconds, they'll have a comprehensive readout of the following: Eligibility verification: PAC automatically interrogates 271 responses, flagging up active secondary and tertiary coverage information to eliminate coverage gaps; Coordination of Benefits (COB): Integrating with eligibility verification workflow, PAC automatically analyzes payer responses to find hidden signs of additional insurances that may be missed by a human eye, and triggers additional inquiries to those third parties to determine primacy, for faster COB processing; Medicare Beneficiary Identifiers (MBI): PAC uses AI and robotic process automation to find and fix patient identifiers so no one misses out on essential support; Coverage discovery and financial status: For patient accounts marked as self-pay or unbillable, PAC automates additional coverage searches, and provides insights into the patient's propensity to pay; Demographics: Lastly, but by no means least, the platform can quickly check and correct patient contact information. Providers can hear more about shifting denials management to the front end of the revenue cycle with Patient Access Curator on a recent on-demand webinar hosted by Jordan Levitt and Jason Considine, Chief Commercial Officer at Experian Health. On the webinar, Levitt explains that Patient Access Curator achieves such speedy results “because the underlying code acts like a Rosetta Stone, automatically translating the language of the user and the health system into the terms required by the payer.” This means data can be transferred easily between interfaces. “The answer isn't multiple clicks, running one transaction at a time. With Patient Access Curator, you can know everything about the patient to run a clean revenue cycle process and propagate only clean data downstream, all within thirty seconds.” Maximize dollars, minimize workload Patient Access Curator moves away from manual methods and verifies eligibility and coverage automatically, quickly and accurately. But the platform promises more than efficiency; with this technology, Wave HDC has prevented denials of over $1 billion since 2020. At a time when revenue cycles are under increasing pressure from changing payer rules, labor dynamics and operational constraints, the new integration offers a long-awaited boost to both reimbursement rates and productivity. Patient Access Curator is available now – learn how your healthcare organization can get started and prevent claim denials in seconds. Learn more Contact us