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The growing shift from inpatient to outpatient care continues. The U.S. ambulatory services market was estimated at USD 289.5 billion in 2023 and is projected to grow at a CAGR of 5.38% from 2024 to 2030. A Deloitte study notes that the gap between inpatient and outpatient revenue has been closing for two decades. But what's driving this boom? Clinical advances, patient demand for lower-risk and lower-cost options and payer pressure all play a role. New technologies, like advances in orthopedics, allow more procedures to be performed at outpatient service centers instead of costly hospital settings. Free-standing ambulatory surgery sites are expected to see a 14% volume boost over the next decade as more service lines, like cardiovascular and neurosciences, begin to shift procedures from inpatient to outpatient facilities. The ongoing growth in outpatient services presents a unique opportunity for revenue cycle leaders to use technology to improve outpatient revenue—and the overall patient experience. Grow outpatient revenue with more digital care Patients want a better experience at every step of the patient journey. They want to see their doctor faster, manage appointments online and understand how much it costs—with as little red tape as possible. A lack of streamlined patient access and transparency often results in no-shows, a rise in claims denials, wasted staff time and patient complaints. However, by opening the digital front door, providers can give patients the self-service tools they crave, improve the care experience, keep outpatient schedules full and increase revenue. Additionally, providers can use technology like artificial intelligence (AI) to lower claim denial rates. Here are five strategies to increase outpatient revenue in 2025. 1. Make patient access simple Patients want to see their doctor faster. In Experian Health's latest State of Patient Access survey, eight in ten patients who reported being unhappy with their provider experience cited waiting for an appointment as a top complaint. When trying to schedule, patients are also frustrated by the friction that comes with complex processes, clunky technology systems and sparse provider communication. Outdated manual workflows, staffing shortages and lack of staff training often result in challenges for both patients and providers. Improved patient access is at the heart of patient-centered healthcare. Technology designed to put the patient in control, like online patient scheduling and digital patient intake tools, offer continuous patient engagement, optimized scheduling, and streamlined administrative processes. By leveraging modern patient access solutions, providers can improve patient experiences and alleviate the impact of staffing shortages. 2. Reduce appointment no-shows Missed appointments cause headaches for patients, providers, and revenue cycle managers. Online scheduling and mobile registration are also top of mind for patients. In Experian Health's State of Patient Access 2024 survey, 89% of patients said they wanted self-service scheduling and 85% reported a dislike for filling out repetitive intake paperwork. Online patient scheduling software puts patients in the driver's seat, providing convenient and secure 24/7 access to book, reschedule, and cancel appointments on their own time. Solutions like Patient Schedule sync seamlessly to an organization's scheduling rules, and patients receive automated appointment reminders by text or IVR. On average, providers that use Experian Health's scheduling solution experience an 89% show rate, a 50% reduction in scheduling time, and a 32% increase in patients per month. Patient intake tools like Registration Accelerator simplify mobile registration with a streamlined text-to-mobile experience. Once registration is complete, automated returns of forms, patient-check-ins and demographic information ease the burden on staff. 3. Help patients prepare for outpatient costs Patients need a clear breakdown of their financial responsibility before receiving care. Without it, they may be unable to prepare for care costs appropriately. While hospitals are now required to share detailed pricing for at least 300 common procedures, confusion around a patient's actual financial responsibility still persists. More than half of patients report turning to their provider for help understanding what insurance covers. Digital solutions that provide accurate, upfront estimates empower patients. More than eight in ten patients say pre-service estimates help them prepare for the cost of care. Patient Payment Estimates provide upfront, real-time estimates of what a patient will owe. Providers can offer convenient and secure payment links, and allow patients to pay their bills online or see customized payment plans. Outpatient providers can further maximize the chance of reimbursement by running health insurance coverage checks across the entire revenue cycle. This can help find billable coverage that may have been forgotten and give patients greater certainty about what they'll owe. 4. Automate healthcare collections Collections are often a major challenge in the outpatient revenue cycle. Outpatient procedures can be costly, even with insurance, leaving patients responsible for potentially large bills. Automating healthcare collections allows for faster, more efficient, and more compassionate collections. Tools like Collections Optimization Manager helped Novant Health achieve an overall recovery rate of 6.5% and increase revenue and cost savings to a rolling average return on investment of 8.5:1. With automated tools like Patient Financial Clearance, providers can assess patients' ability to pay and assign them to an appropriate financial pathway. This allows patients to quickly get the assistance they need while freeing up valuable staff time. 5. Streamline claims to increase outpatient revenue Denied claims continue to be problematic for providers. In Experian Health's State of Claims 2024 report, which surveyed 210 healthcare revenue cycle leaders, nearly three-quarters of providers feel claims denials are increasing, while 67% feel getting paid is taking longer. Claims management software can help end the cycle of denials. However, around half of providers still use a manual claims review process, and only 28% feel confident in their understanding of automation, machine learning and AI. Adopting automated and integrated healthcare claims management solutions can reduce errors, prevent undercharges, and ensure a higher first-pass payment rate. Tools like Experian Health's ClaimsSource® simplify the entire claims process, while Claim Scrubber helps providers submit more accurate claims. Digital solutions can also automate claim status monitoring and eliminate manual denial processes. Implementing AI tools to interpret past claims data and recommend next steps can improve outpatient claim denial statistics. Tools like AI AdvantageTM look at past payer behavior and historical claims data to predict and prevent denials. AI Advantage's two components, Predict Denials and Denial Triage, help providers respond to growing denial challenges by identifying claims with a high likelihood of denial before submission, and focus on remits that have the most impact. See how: Find out more about how Experian Health's revenue cycle management solutions can help healthcare organizations increase outpatient revenue, keep pace with growing patient volumes, improve patient satisfaction and boost their bottom lines. Learn more Contact us

According to Experian Health's State of Claims 2024 survey, missing coverage is the top reason for healthcare claim denials for almost a fifth of providers. However, the issue isn't just about whether a patient is insured — four in ten providers worry about insurance companies paying out even where patients have active coverage. Constantly changing payer policies can result in altered or expired benefits, leaving providers scrambling to secure alternative sources of payment. That's why many providers are turning to automated health insurance discovery to find missing coverage and catch outdated policies early. This article looks at how coverage discovery software helps healthcare organizations address some of the most stubborn pain points in the revenue cycle. What is health insurance discovery? When a patient comes in for care, one of the first jobs is to figure out exactly what insurance they have — if any — and what it covers. Health insurance discovery is the process of checking whether the patient has active insurance and confirming details of that coverage, such as payer name and plan type, to ensure the cost of care is billed to the correct payer. If a patient has multiple active plans, the provider must also determine how much should be billed to each payer and in what order. How does it work? Ideally, coverage discovery occurs pre-service, but it can occur later if a claim is denied, and alternative coverage sources must be found. The main steps in the process include: Collecting insurance details when patients schedule or check in Checking with insurance companies to confirm that coverage is active and will cover planned services Cross-checking payer databases to ensure no coverage is missed Considering a patient's eligibility for Medicaid or other charity support Coordinating benefits for accurate billing Benefits of automated health insurance discovery for providers While respondents to the State of Claims survey are reasonably confident about their coverage discovery processes, the actual outcomes are less robust. Eligibility checks are taking longer and errors are on the rise. Only 54% of providers believe their claims technology can meet current revenue cycle demands. Automation offers a reliable and adaptable solution to bridge the gap between front-end checks and back-end claims management. Here are a few ways automated health insurance discovery sets the stage for smoother claims submissions and revenue cycle performance: 1. Maximize reimbursement by finding missing coverage quickly Challenge: Patients don't always provide complete insurance information, which can cause providers to miss out on opportunities for reimbursement. How automation helps: Automated health insurance discovery digs deeper than manual processes to find any coverage that may have been missed or forgotten. Experian Health's Coverage Discovery® solution combs through multiple proprietary databases, including employer information, historical search information, registration history and demographic validation to proactively identify billable Medicare, Medicaid, and commercial coverage. With minimal patient details, it finds additional sources of primary, secondary and tertiary insurance instantly. In 2023, Coverage Discovery tracked down previously unknown billable coverage in a third of patient accounts, resulting in more than $25 million in found coverage. 2. Reduce the manual workload Challenge: Staff spend too much time calling payers, logging into portals and manually entering patient data. This is time-consuming and error-prone, especially when one in four resubmissions are worked on by a different person than the one who originally processed it. How automation helps: Automation eases the admin burden by handling repetitive aspects of insurance verification behind the scenes, freeing staff to focus on more complex tasks. Coverage Discovery saves staff time by continuing to check for health insurance throughout the patient journey, and not just at registration. This final post-service check is vital to detect discrepancies that could lead to denied claims. Staff can also automate the self-pay scrubbing process to further reduce the risk of errors. As providers continue to feel the squeeze from staffing shortages and rising operating expenses, any move to reduce costs while bringing in more revenue is to be welcomed. 3. Prevent eligibility issues Challenge: Providers often only discover that active benefits have changed after the claim has been submitted. That's too late. For 43% of providers, it takes at least 10 more minutes to check eligibility when initial checks are incomplete. How automation helps: With automation, providers can run real-time eligibility checks, ensuring that changes to the patient's benefits are caught early so claims aren't denied due to outdated information. Experian Health's new Patient Access Curator uses artificial intelligence-based data capture technology to return accurate information from multiple sources with a single click. It automatically interrogates data from more than 270 payer responses, including active and billable coverage, plan level detail, chaining and primacy, so providers can verify eligibility and more in an instant. 4. Reduce claim denials and rejections Challenge: Incorrect or incomplete insurance information results in errors on claims forms or claims sent to the wrong payer, which causes denials, delays and rework. How automation helps: Automated discovery ensures that the correct payer and coverage information is attached to claims, reducing the likelihood of denial. This solves one of the most frustrating parts of coverage discovery, making the process faster, more accurate and less reliant on manual effort. Read more: How to leverage AI and automation to minimize healthcare claim denials 5. Improves the patient experience Challenge: Patients are often confused about their coverage status and worried about whether their healthcare costs will be met by their insurance provider. Medicare beneficiaries, in particular, report difficulty understanding and comparing plan options, leading to potential gaps in coverage. When healthcare providers fail to catch errors or gaps in their information, this erodes trust and negatively impacts how they feel about their experience. How automation helps: By correctly identifying coverage and verifying benefits eligibility, automation allows providers to give their patients early certainty about how their healthcare costs will be covered. Patients are less likely to receive unexpected or incorrect bills, which prevents delays and disputes. Automated tools can go a step further to improve the patient experience by guiding patients toward additional support and payment plans. For example, Patient Financial Clearance identifies patients who may be eligible for Medicaid or charity assistance, and identifies appropriate payment plans for anyone with an unmanageable self-pay balance. Case studies: See health insurance discovery in practice How Providence Health found $30M in coverage and reduced denial rates with automated eligibility checks How UCHealth secured $62M+ in insurance payments and saved $3.5M+ in 2022 with Coverage Discovery How Luminis Health used Coverage Discovery to find $240K in billable coverage each month Learn more about how automated health insurance discovery helps providers reduce claim denials, improve cash flow and deliver better patient experiences. Learn more Contact us

The denial challenge is getting tougher. In Experian Health's latest State of Claims 2024 survey, almost three-quarters of healthcare administrators agree that claim denials are increasing. The majority also agree that difficulties with claims—like reimbursement times, errors, and payer policy changes—are becoming more common. It's no surprise that denial prevention is a priority for 84% of respondents. However, many organizations still focus on reactive strategies, like working harder with denial management teams or appealing claims once the denial comes through. These efforts have their place, but they only address the problem after it occurs. It's a time-consuming, costly and ultimately inefficient way to face the denial challenge overall. A better approach is to figure out how to prevent claim denials in the first place. This article looks at how to build a proactive denial prevention strategy using automation and artificial intelligence (AI), to streamline claims processing and nip denials in the bud. Understanding denial prevention in healthcare Preventing denials starts with understanding the “ins and outs” of the claims process, particularly payer requirements. Denials occur when a payer refuses to reimburse a provider for services rendered, often due to avoidable coding errors, missing documentation or procedural mistakes. When that happens, providers are left to rework the submission or look elsewhere – most likely to the patient – to fill the funding gap. Many are simply written off to bad debt. To avoid receiving an 835 file with the dreaded claim denial notice, providers must focus on the root causes of denials and get ahead of the pitfalls. The importance of claim denial prevention With denial rates exceeding pre-pandemic levels, 42% of survey respondents say the economy and declining consumer confidence make payer reimbursements more urgent. While financial stability is the obvious driver for getting claims right the first time, denial prevention also improves operational efficiency and reduces the billing and coding staff workload. Denials are frustrating for patients and staff. When claims are processed correctly the first time, providers avoid delays and billing complications and reduce patient stress over unexpected costs. Preventing denials is critical for maintaining trust and ensuring patients feel secure about their financial obligations. How to prevent claim denials Denial prevention strategies should start with addressing the underlying causes of denials. Here are five denial prevention strategies to consider: 1. Improve data accuracy from the start Garbage in, garbage out. If patient information, insurance eligibility, prior authorizations and billing codes are input incorrectly or missing altogether, providers will continue to submit error-filled claims that have no hope of being paid. Tools like Patient Access Curator can verify relevant data for accuracy before claim submission and reduce the risk of denial. 2. Use AI and automation for efficiency If there was ever a case for using automation and artificial intelligence, it's in claim denial prevention. However, around half of providers are still using manual processes, leaving them playing catch-up to the payers who are already using AI to work at scale. Only 10% have automated the process, using AI to correct and resubmit claims. Tools like ClaimSource® can automate eligibility verification and coding, perform error checks before submissions and ensure claims meet payer requirements instantly. This cuts the time and effort wasted on manual processes, releasing staff to focus on activities that need human attention. 3. Automate pre-claim scrubbing to catch errors A great use case for automation is in providing an extra pair of eyes to pore over claims and catch common errors like missing data and wrong codes before submission. Experian Health's Claim Scrubber analyzes claims line by line to ensure that claims are submitted to payers and clearinghouses without errors, increase first-time pass rates and prevent rebilling. 4. Track performance for ongoing improvement Every denial prevention strategy should include monitoring and reporting. Tools that offer real-time tracking of key performance indicators such as denial rates, clean claim percentages, resubmission times, and the reasons for denials can help staff identify patterns. With these insights, they'll have complete visibility into any recurring problems clogging up their claims processes. 5. Outsource to a trusted vendor for extra support and expertise Finally, providers might consider outsourcing denial prevention to a specialist vendor who can help them develop the right strategy and toolkit to streamline billing, improve data integrity and manage claims to ease pressure on internal resources. Experian Health was client-rated #1 by Black Book™ ’24 in Denial & Claims Management Outsourcing, Health Systems. Learn more Proactively reducing claim denials These strategies raise an important question: can existing revenue cycle technology handle the increasing volume of denials? Healthcare administrators aren't convinced: only 54% of survey respondents feel their organization's technology is sufficient to meet demand, down 23 percentage points since 2022. To implement these denial prevention strategies effectively, providers may need to consider upgrading their toolkit rather than relying on traditional systems. Experian Health offers two AI-powered solutions that help providers better predict and prevent denials: Prevent denials with Patient Access Curator  Too many denials originate in patient access, so prevention must start here. Patient Access Curator uses AI-driven data capture technology to verify patient details quickly and accurately. With a single click, PAC can automatically check eligibility verification, coordination of benefits, Medicare Beneficiary Identifiers, coverage discovery and financial status. Running multiple manual queries is a thing of the past, saving staff hours and propagating clean data throughout the entire revenue cycle. Watch the webinar to learn more about how Patient Access Curator helps prevent denials with accurate data from the start. Predict denials with AI AdvantageTM Clean data sets the stage for denial prevention, but AI adds an extra layer of protection by forecasting potential issues before it's too late. AI AdvantageTM does this in two ways. First, the Predictive Denials component analyzes claims using the provider's own ClaimSource® data and alerts staff to high-risk claims so errors, inconsistencies or missing documentation can be corrected before submission. Next, the Denial Triage component prevents missed revenue opportunities by segmenting denials and guiding staff to those worth reworking. See how AI Advantage works: If providers can't prevent denials, they can't protect their bottom line. With the right data analytics, automation and AI, providers can take control and spot issues before they become problems instead of spinning their wheels in endless rework. With more advanced tech on their side, it's possible to close the gap with payers and prevent denials, but it also gives staff the headspace to focus on patient care and support. Find out more about how Experian Health's Claims Management solutions help providers build effective denial prevention strategies and reduce lost revenue. Learn more Contact us

According to a new report by the American Hospital Association, administrative costs now make up over 40% of total hospital expenses. Hospitals and health systems spend around $40 billion annually on billing and collections alone. For revenue cycle managers, the pressure is building as administrative tasks like insurance eligibility verification, claims management and payment processing overwhelm their teams and drain budgets. However, a sizeable chunk of these costs—perhaps as much as $18.3 billion—could remain in hospitals' hands if certain administrative tasks were automated. Automating key revenue cycle management (RCM) workflows improves efficiency, accuracy and cash flow, while easing staff stress and expediting patient care. Could it be the secret weapon to alleviating administrative burdens? This article looks at the issues in further detail, and explores 5 use cases that show how automation can reduce administrative costs in healthcare. Understanding administrative costs in healthcare Spending on healthcare administration in the U.S. has risen from $654 per person in 2013 to $925 in 2021. Administrative costs cover the resources needed to manage the non-clinical aspects of care. These resource requirements are immense in a complex system with multiple payers, fragmented data systems and growing regulatory demands. Add persistent staffing shortages and increasing patient volumes to the mix, and it's easy to see how costs spiral out of control – especially when relying on inefficient systems. The billions of dollars and hours of staff time consumed by administrative tasks make it clear that resources are not being used most effectively. This is where automation can make a difference. The role of automation in healthcare Automation reduces human errors, speeds up workflows and accelerates cash flow. It frees up time, money and headspace to optimize services and improve patient experiences. It's no wonder it's gaining traction in revenue cycle management. However, many providers are not fully capitalizing on automation's potential: Experian Health's latest State of Claims 2024 report shows that fewer healthcare administrators feel their organization's technology is sufficient to meet RCM demands compared to two years ago. How can they tap into the benefits of automation to reduce administrative costs? Benefits of automation and how it can reduce administrative costs in healthcare Automating healthcare administration is about doing more – and better – with less. Some of the benefits include: Fewer errors in billing, coding and claims management. Fewer mistakes mean fewer denials, which translates to faster payments and less rework. Reducing time to get paid, as automated processes speed up claim submissions, insurance verification and payment collections. Cash flow improves and staff spend less time chasing payments. Alleviating staffing shortages, as automation takes care of repetitive tasks like data entry, payment reminders and reporting. Management can reduce the burden on overworked staff and curb training costs, while teams can focus on “value-added” work. Improving efficiency in every corner of the revenue cycle. Automating routine tasks makes the entire billing and revenue cycle process more efficient, allowing teams to handle more work in less time without increasing headcount. Happier patients (and a better-looking bottom line). Automation makes it easier for patients to understand their bills, set up payment plans and pay their balances online. Satisfied patients are more likely to pay on time, reducing the cost of chasing overdue payments. Implementing automation in healthcare When it comes to reducing administrative costs, selecting the right parts of the workflow to automate is key. Here are five possible use cases to consider: 1. Streamline insurance eligibility checks “Checking if my insurance was accepted was a fast and friendly process. The staff even helped clarify which insurance was the right one for me since I had multiple cards.” This is what one patient at Providence Health said, after the health system switched to automated insurance eligibility verification. Insurance Eligibility Verification connects to over 900 payers and automatically checks patients' coverage and plan-specific benefits information in real-time. This reduces the manual effort required by staff and prevents the delays and denials that lead to additional administrative costs. As the patient notes, it means patients get early clarity about how their care will be funded, so there are no surprises later. Read the case study: How Providence Health found $30M in coverage and reduced denials with automated eligibility checks. 2. Automate claims submission More than half of healthcare administrators say that claims errors are increasing. A quick win would be to use automation to pre-fill patient data and avoid the inconsistencies and typos that occur with manual input. A more significant gain could come from combining multiple automations to populate, check and track claims submissions. Tools like ClaimSource® can automate the entire claims cycle in a single application. Indiana University Health (IU) utilized ClaimSource to process $632 million in claims transmissions in just one week, after a halt to their operations. Summit Medical Group paired Claim Scrubber with Enhanced Claims Status to improve claims submission. Claim Scrubber ensures all claims are complete and accurate before being sent to the payer, and generates alerts so staff can intervene quickly if an error pops up. Enhanced Claim Status automatically pings payers for status requests so staff can spend less time seeking updates and accelerate follow-up activities. With this approach, Summit boosted their first-time pass-through rate to 92% and reduced accounts receivable days by 15%. Experian Health was client-rated #1 by Black Book™ ’24 in Denial & Claims Management Outsourcing, Health Systems. Learn more 3. Improve denial management Denials remain one of the biggest pain points for providers. Payers are miles ahead in their use of automation and artificial intelligence (AI), using sophisticated machine learning tools to process and deny claims at scale. Experian Health's flagship AI-powered denial management solution, AI AdvantageTM, can help close the gap. This tool “learns” from an organization's historical claims data and trends in payer behavior to predict the probability of denial. It also identifies and segments denials so staff can prioritize those with the highest chance of being reimbursed, reducing the time and cost of manual appeals and rework. 4. Accelerate patient payments On the patient side, automation can be deployed to send patients reminders about outstanding balances, set up payment plans and process payments quickly and securely. Simplifying patient billing makes it easier for patients to pay, which increases collections rates while reducing the need for follow-up calls. Read more: 5 ways patient payment software improves patient satisfaction 5. Generate better financial reports Another smart use case for automation is generating real-time revenue cycle performance reports. With advanced data and analytics, staff no longer need to spend hours compiling information, while managers get faster, reliable information to inform strategic decisions. Experian Health's healthcare data analytics turns raw data into business-ready information to find potential sources of revenue leakage and boost financial performance. The future of healthcare automation Automation is already helping reduce administrative costs in healthcare by relieving staff of the tedious, time-consuming, repetitive tasks that drain time and money. However, many still rely on old data systems that don't work well together, leaving revenue opportunities slipping between the cracks. Choosing solutions that improve integration and interoperability will continue improving data-sharing between platforms and services, further reducing errors and delays. Looking ahead, automation and AI will play an increasingly major role in handling complex tasks in revenue cycle management. RCM leaders will find even more opportunities to minimize manual intervention and lower administrative overheads as these tools evolve. Learn more about how Experian Health's automated Revenue Cycle Management solutions help reduce administrative costs in healthcare and create more resilient revenue cycles. Learn more Contact us

Effective contract management for healthcare organizations is pivotal in this complex and highly regulated world. Healthcare organizations, whether large hospitals, clinics, or individual practitioners, contract with various entities, including vendors, insurance providers, and regulatory bodies. These contracts govern everything from purchasing medical supplies to services reimbursement, making healthcare contract management a critical aspect of running a successful and compliant operation. What is healthcare contract management? Healthcare contract management is the systematic process of creating, negotiating, executing, monitoring, and optimizing contracts to ensure compliance, mitigate risks, and achieve healthcare organizations' strategic objectives. It encompasses various stages, including needs assessment, drafting, execution, and post-contract management. The importance of healthcare contract management for payers and providers Healthcare contract management ensures that healthcare organizations, including payers and providers, can efficiently navigate the contracts governing operations. For providers and healthcare contract managers, it's about ensuring their organization gets paid fairly for services while adhering to complex regulations. For payers, negotiating contracts with healthcare providers helps control costs while maintaining care quality. Tricia Ibrahim, Director of Product Management, Contract Manager Suite, states, “Better healthcare contract management directly impacts provider revenues. That's why many organizations implement healthcare contract management software. These tools help healthcare providers work smarter and get paid faster.” Challenges and opportunities in healthcare contract management The complex payer/provider landscape presents multifaceted challenges for organizations seeking to improve healthcare contract lifecycle management. The intricate web of regulatory requirements, privacy laws, provider-specific reimbursement structures, and shifting payment models adds complexity to contract management. Healthcare providers must navigate through contracts with various stakeholders, including suppliers, payers, and government agencies. Healthcare contract compliance with ever-evolving regulations is difficult in part because most providers manage these complexities manually. Providers seeking to improve healthcare contract management often turn to technology to help. OrthoTennessee, a multi-location orthopedic practice in Knoxville, Tennessee, with 164 providers, struggled with denied claims, smaller payouts, and a need for more contract management standardization. The organization used Experian Health's Contract Management tool to improve the accuracy of contract compliance. Today, this healthcare provider credits the software with helping the organization spot changes in payer rules and trends in how they pay. Experian Health's Contract Management platform drives significant efficiencies and time savings. It also provides critical data for payer negotiations. In 2022, OrthoTennessee had an 86% appeal success rate, thanks to more streamlined contract management. OrthoTennessee strongly advocates for Experian Health's Contract Management tool—and they've used it for over 16 years. Navigating the complex landscape of healthcare contract management The healthcare industry is notorious for its ever-evolving regulatory environment. Healthcare contract managers must stay up-to-date with these changes to ensure contracts remain compliant. Imagine doing this by hand when most healthcare providers deal with hundreds of different payers, each with its contracts, procedures, and paperwork. This lack of standardization slows down the claims process. With rising healthcare costs, payers and providers are under immense pressure to optimize contracts to maintain profitability while delivering quality care. As claims grow more complex and patient volumes rise, manual healthcare contract management becomes a bottleneck in getting paid. Healthcare organizations often operate in a highly competitive environment, making efficient contract management a strategic imperative. Failure to manage contracts effectively can result in lost revenue, operational inefficiencies, and strained relationships with key partners. Managing data-intensive healthcare contracts One of the most significant challenges in healthcare contract management is the data-intensive nature of these agreements. Payer/provider contracts contain vast amounts of critical information, such as billing codes and reimbursement rates. Managing this data accurately and securely is essential for compliance and successful operations. The sheer volume of contracts in healthcare organizations can be overwhelming, making it challenging to track, analyze, and report on their performance. Manual contract management processes are vulnerable to errors that can have significant financial and legal consequences. However, these challenges also present significant opportunities. The advent of technology, such as contract management software and artificial intelligence, has revolutionized the way healthcare organizations oversee contracts. These tools offer the potential to automate data extraction, analyze compliance, and streamline contract workflows, significantly enhancing efficiency and reducing the risk of errors. Frequently Asked Questions What does a healthcare contract manager do? A contract manager in healthcare is responsible for overseeing the entire contract lifecycle. Their duties include negotiating contract terms, ensuring legal compliance, monitoring performance, managing amendments and renewals, and fostering stakeholder collaboration. Contract managers play a vital role in optimizing contract efficiency and minimizing risks. What are the common types of contracts in healthcare? Provider Agreements: Contracts between healthcare providers (e.g., hospitals, clinics) and payers (e.g., insurance companies) that outline reimbursement rates and service delivery terms. Payer Contracts: Agreements between healthcare payers and providers that govern payment terms, coverage, and network participation. Pharmaceutical Agreements: Contracts between healthcare organizations and pharmaceutical companies for purchasing and distributing medications. Vendor Agreements: Contracts with vendors providing services, equipment, or supplies to healthcare organizations, ensuring quality and compliance. Better healthcare contract lifecycle management Healthcare contract lifecycle management is a comprehensive process encompassing all contract stages, from initial creation to final execution, performance monitoring, and eventual termination. This systematic approach helps organizations maximize efficiency, reduce risks, and ensure compliance with payer contract requirements. Understanding the contract lifecycle The lifecycle of an average contract has several phases. Work must be done at each step, and challenges arise even before contract signing. After signing, the healthcare contract manager must follow each payer's rules closely as they are subject to change. Pre-Contract Stage: Healthcare organizations must conduct a thorough needs assessment to define the agreement's scope before drafting a contract. This phase often involves communication with essential finance, legal, and operations stakeholders. The goal is to go into contract negotiation with a clear sense of organizational goals and where to draw the line. Payer Contract Formation: Successful contract formation involves negotiation and drafting that addresses all parties' unique needs and expectations. Key stakeholders must collaborate to ensure the contract meets legal and regulatory requirements. Standardized templates with clear, concise language minimize ambiguity and lessen legal risks. Execution of Contracts: To expedite contract execution, healthcare providers must establish approval workflows and methods for monitoring compliance after signing. This phase may include exchanging required documentation, such as insurance certificates or provider credentials. Notably, adopting e-signatures streamlines approvals, reducing common delays experienced with paper-based processes. Post-Contract Management Performance: After execution, healthcare organizations must actively and consistently monitor contract metrics against key performance indicators (KPIs). Providers must identify deviations from expected performance and address them quickly. Keep in mind healthcare contracts often require amendments and periodic renewals. Organizations must also have a standardized process for these changes and ways to manage new contract compliance workflows. How technology improves the contract lifecycle Technology plays a pivotal role in improving the entire healthcare contract lifecycle. From contract creation to execution, performance monitoring, and beyond, technology-driven solutions offer a range of benefits to enhance efficiency and improve compliance. Contract management software has revolutionized how organizations handle their contracts in the digital age. These specialized platforms offer a centralized repository for contracts, making them easily accessible and searchable. Critical features of contract management software include: Centralized Storage: Consolidates all contracts into a single, easily accessible database, eliminating the need for physical filing systems or scattered electronic documents. Automated Workflows: Reduces delays associated with manual routing and approvals. Electronic signatures further expedite contract execution. Version Control: Maintains a clear record of revisions, ensuring users consistently access the latest, up-to-date documents. Document Management: Aids collaboration, secure file storage, and document sharing. Alerts and Reminders: For contract milestones, such as changes, renewals, or termination dates, helping organizations stay on top of critical events. AI and automation in healthcare contract management AI can automatically extract essential contact data, helping organizations efficiently categorize, analyze, and report on their contract portfolio. Natural language processing and machine learning aid in contract risk assessment, compliance checks, and pinpointing critical clauses for review. Automation tools can generate contracts from standardized templates, reducing the time and effort required for contract authoring and negotiation. AI-driven contract review tools help legal and compliance teams identify deviations from standard language, flagging potential issues that need attention. Compliance checks and alerts can also be automated, ensuring that contracts meet changing regulatory requirements. Data analytics for contract oversight Data analytics for contract oversight is invaluable for overseeing contract performance and compliance. By employing data-driven insights, organizations can: Monitor KPIs to assess whether a contract is delivering the expected value. Detect anomalies, deviations from expected patterns, or changes in performance data to identify potential risks and compliance issues. Manage costs by analyzing financial data within contracts and identifying opportunities for cost reduction or resource optimization. Predict contract performance trends, helping organizations proactively address issues and make informed decisions. Ibrahim says, “There's a reason that Experian Health Contract Manager achieved Best in KLAS this year. The burden of proving a claim is underpaid or wrongly denied always rests with the provider. This software finally allows these organizations an opportunity to reduce the $157 billion annually lost on manual contract management.” Future of managing healthcare contracts The future of managing healthcare contracts will be transformational. Technology advancements will revolutionize the standard for healthcare contract lifecycle management. As technology advances, organizations that leverage these innovations stand to gain a significant competitive advantage in their revenue cycle. Some of the future innovations to expect include: Telehealth and Remote Contract Management: Telehealth will become integral to healthcare delivery. It will extend beyond traditional video consultations to include remote monitoring, diagnostics, and treatment plans and require a robust framework for contractual agreements between healthcare providers, insurers, and technology vendors. The expanding role of telehealth will necessitate innovative contract management solutions, leveraging technology and automation to ensure efficient, secure, and compliant remote contract management. Predictive Analytics and Machine Learning: These emerging technologies will reshape how healthcare providers manage contracts. Predictive analytics will enable organizations to anticipate contract performance trends, proactively identifying potential issues before they escalate. Machine learning algorithms can analyze vast amounts of contract data to uncover patterns and insights that may not be apparent through traditional methods. This predictive capability helps healthcare organizations optimize their contract management strategies, improve negotiation outcomes, and enhance overall operational efficiency. By leveraging these advanced technologies, healthcare providers can ensure compliance, reduce risks, and drive better financial and patient care outcomes. Empowering healthcare organizations for a successful future Ultimately, applying technology solutions to healthcare contract compliance and management empowers these organizations to succeed in delivering high-quality care. Healthcare is increasingly complex, and organizations must leverage technology, adopt best practices, and stay ahead of emerging trends. Experian Health's Contract Management solution allows providers to manage these complexities efficiently and improve their revenue cycle. Contact us to learn how our Healthcare Contract Management software can help your organization validate reimbursement accuracy, recover underpayments and more.

Could healthcare organizations be doing more to open their digital front door? According to a 2024 study by HIMSS researchers, hospitals that embrace digital technology see stronger patient experience outcomes. This aligns with Experian Health's most recent State of Patient Access (SOPA) survey, in which patients and providers agreed that patient access had improved thanks to digital technology. Adoption of digital health technology accelerated in response to COVID-19, as healthcare organizations sought to manage demand and facilitate “contactless” access to care. Telehealth, mobile apps and patient portals gave patients more control over their health while allowing providers to deliver more personalized and efficient care. With over half of healthcare providers and nearly a third of patients acknowledging improvements in access since before the pandemic, it's clear that offering more digital options is a powerful strategy to improve patient engagement and streamline access. Progress is encouraging, but there are always opportunities to do more. What is healthcare's digital front door? Healthcare's “digital front door” includes all the digital channels through which patients access care, such as websites, patient portals, mobile registration and payment apps, telehealth platforms and online scheduling tools. The goals are to create convenient and user-friendly entry points for patients to engage with their providers, use online tools to expand access, improve patient satisfaction, and increase operational efficiency. Why a digital front door is crucial for healthcare providers When asked why they believe patient access has improved since before the pandemic, the top four reasons given by patients all relate to scheduling and registration processes: Being able to see a doctor quickly (72% agreed) Checking in and registration (61% agreed) Scheduling appointments (58% agreed) Finding appointments that work with their schedule (57% agreed). In other words, patient access improves when providers open the digital front door. Alex Harwitz, VP, Digital Front Door, at Experian Health, explains that for providers, this equates to two major benefits: 1. Improves patient engagement Harwitz says that putting access in the hands of patients gives patients more flexibility and choice about how and when they book appointments, fill out registration forms and pay for care. “There's a growing demand for easy, accessible healthcare, and opening the digital front door is how we meet it. Digital tools use automation and data analytics to create a more personalized and convenient patient experience, making it easier for patients to remember appointments, adhere to treatment plans and manage their financial obligations,” he says. “That's huge for busy households. The to-do list just got a lot shorter, so it's easier for them to engage.” 2. Streamlines patient access A second key benefit is reducing friction and bloat in patient access workflows. Harwitz says, “By expanding their online offerings, providers not only make it easier for patients to see their doctor sooner, but they also reduce demand on front office staff. Self-service options, performance reporting and data insights allow providers to allocate resources more effectively. It’s about making sure everyone gets the right support at the right time, whether that's online or in the office.” Getting the patient journey off on a strong footing also pays dividends throughout the rest of the revenue cycle: with fewer errors and faster throughput, collections and claims management improve, too. Read more: How patient access technology is transforming the healthcare revenue cycle Key components of a digital front door As more providers offer online patient access, competition for the digital front door is increasing. With 60% of patients looking for more digital and mobile options to meet with providers, schedule appointments, and manage bills and payments, these would be smart areas to prioritize for a competitive advantage. Here's what that might look like: 1. Cut paperwork and calls with self-service scheduling and mobile registration It should come as no surprise that a vast majority of patients say they do not like repetitive paperwork. Online and mobile-enabled scheduling and registration reduce form-filling and lengthy calls. For example, Patient Schedule gives patients a platform to book, cancel and reschedule appointments with ease, anytime and anywhere. Appointments are matched to patients' needs so no slots are wasted and patients see their doctor sooner. Mobile registration increases bookings further. With Registration Accelerator, patients receive a text that prompts them to scan their identity and insurance cards, so they don't need to wait in line to fill out forms. Validating their data from the start also improves billing accuracy and reduces the risk of downstream denials. 2. Make it easier to pay for care Simplifying the financial experience is a major component in opening the digital front door. Patients are worried about the cost of care and say that having accurate price estimates before treatment helps them plan for bills. With Patient Payment Estimates, providers can give patients accurate, upfront estimates of their out-of-pocket costs, while tools like Patient Financial Clearance can help direct them to appropriate payment plans. It's also important to make the actual payment process as straightforward as possible. Accepting payments 24/7 from any device allows patients to pay promptly and helps providers avoid bad debt. Checklist: 5 patient-friendly billing practices to accelerate collections 3. Communicate clearly for a great first impression At its core, opening the digital front door is about creating a welcoming first impression for patients. Patients don't want confusing instructions or radio silence when they have questions. They want proactive, helpful and clear communications. One of the benefits of digital tools is having the data and automation capabilities to send patients timely and personalized messages and reminders using their preferred channels. They can also drive targeted outreach campaigns using text messages and interactive voice responses to encourage patients to book appointments and make payments. The future of healthcare's digital front door These are just a few examples of how providers can expand their digital offerings to make it easier for patients to access care. But what will the digital welcome mat look like in the future? Advances in artificial intelligence, digital apps and wearable tech will transform the way patients interact with their providers. Hockey-stick growth in data generation will make data security and interoperability non-negotiable. It's a big ask of providers. Partnering with an expert third-party vendor will help digitally forward organizations remain responsive and adaptable. Find out more about how Experian Health helps providers open their digital front door with mobile scheduling, registration and payments.

Maintaining a healthy cash flow is the only way to deliver quality patient care, invest in state-of-the-art technologies and keep daily operations running smoothly. But that's easier said than done: data errors, delayed payments, denials and staffing disruptions leave providers vulnerable to escalating admin costs and revenue leakage, with little left over to reinvest. By adopting a few key revenue cycle management (RCM) strategies, providers can sidestep these challenges and bring in more dollars. This guide summarizes five revenue cycle management best practices healthcare leaders should follow to optimize RCM workflows and promote financial stability. Key challenges in revenue cycle management Common issues that can get in the way of a healthy revenue flow include: Inaccurate patient data leading to coding errors, claim denials and billing delays Increasing numbers of denied claims generate costly rework and wasted time Payer compliance issues that are constantly changing and time-consuming to monitor Growing numbers of self-pay patients struggling to pay their bills Labor shortages increase pressure on staff and leave the door open to sub-par performance Inadequate data insights hindering management's ability to spot opportunities for improvement Rapid technological changes leave providers on the back foot if they fail to keep pace with new developments. The dream scenario would be to avoid all these potential obstacles before they do too much damage. In reality, providers will need to choose a few priority areas to troubleshoot. Check out this guide to choosing the right key performance indicators for your revenue cycle dashboard to ensure the effective implementation of RCM strategies. Revenue cycle management best practices What does a successful revenue cycle look like? For busy RCM leaders, deciding what to tackle first can be overwhelming. While there's no one-size-fits-all RCM strategy, there are a few key issues that all organizations must pay attention to. Here are five areas of best practice to factor in: 1. Streamline patient registration and insurance verification Accurate patient data is the number one factor in building a robust revenue cycle. It doesn't matter how efficient claims management and collections processes are if the data they use is flawed. Automated registration and verification tools reduce the chances of manual errors entering the system to ensure correct billing, reduce denials, and speed up reimbursement. One pitfall to watch out for is the fact that some digital tools still require staff to check multiple payer websites and data repositories to verify insurance eligibility. Experian Health's latest patient access solution, Patient Access Curator, avoids this by using AI-driven technology to collect and verify patient information with a single click. 2. Automate claims submission and management According to Experian Health's State of Claims 2022 report, 62% of providers feel they lack the necessary data and analytics to identify issues in claims submission processes. A similar number believe the absence of automation prevents improvement. The CAQH Index backs this up, with the latest estimates suggesting the healthcare industry could save $18.3 billion by switching to electronic transactions. As with patient intake, there's an opportunity to leverage automation in claims management to prevent errors and delays so the organization gets paid faster. Experian Health's claims management products—ranked #1 in 2024 surveys by both KLAS and Black Book—automate each step of the claims workflow so providers can submit clean claims quickly and cut the need for time-consuming manual work. 3. Optimize denials management and appeals with AI Despite best efforts, claims denials remain a burden for many RCM teams. However, proactively understanding and addressing the root causes can help keep denials under control. There's an opportunity to go a step beyond automation and see how artificial intelligence and machine learning can help combat the denials challenge. AI AdvantageTM evaluates individual claims in real time to flag those with a high likelihood of denials based on historical payment data, so staff can intervene quickly before submission. Denials are then triaged using advanced algorithms so staff can focus on reworking denials with the greatest chance of payment, rather than wasting time on those that are never going to be approved. Eric Eckhart, Director of Patient Financial Services at Community Medical Centers in California, says that since implementing AI Advantage, “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.” Watch the webinar: Hear how Community Medical Centers and Schneck Medical Center are using AI AdvantageTM to prevent and triage denials. 4. Choose the right technology and tools for enhanced RCM The three previous revenue cycle management best practices emphasize the importance of selecting the right tools for the task. Two things to look out for when adopting a new RCM product are how well it integrates with existing tools and systems, and whether it offers meaningful insights to drive ongoing improvements. Experian Health's integrated RCM solutions are designed to fit together seamlessly, often allowing staff to view information from multiple workflows within the same dashboard. By bringing together metrics such as financial performance, billing efficiency and collections rates into one place, these tools help staff make strategic decisions about resource allocation and operational improvements. 5. Keep up with regulatory compliance Finally, ensuring compliance with regulatory requirements cannot be overlooked. The reputational and financial risks are too great. Regular training for staff on compliance issues and maintaining up-to-date knowledge of government and payer requirements will minimize the risk of penalties. Choosing RCM tools that automatically check for relevant updates can help providers stay current. Price transparency is a topical example. While the Hospital Price Transparency Rule is designed to help healthcare consumers understand healthcare costs and make more informed decisions about their care, implementation has proven tricky for providers. With the right technology and third-party support, it's much easier to stay compliant. Watch the webinar: See how Experian Health and Cleverley & Associates have partnered to help healthcare organizations navigate price transparency in 2024. Looking for more insights into revenue cycle management best practices? Contact Experian Health today to discover how our RCM solutions can transform your revenue cycle and increase cash flow year over year. Revenue cycle management solutions Contact us

Healthcare claim denials persist as a significant challenge, impacting the efficiency, affordability and timeliness of healthcare delivery and hospitals' financial well-being. They contribute a substantial portion of the staggering $265 billion annual in waste attributed to administrative complexities. On average, hospitals face a yearly loss of $5 million due to healthcare claim denials, amounting to 5% of their net patient revenue, according to the Journal of AHIMA. Yet it appears that the rise in claim denial rates continues unabated. Experian Health's State of Claims 2022 report revealed that 30% of respondents experience medical claims being denied in 10-15% of cases, and 42% confirm an increasing trend in denial rates from one year to the next. There is no question that the claims denial process is ripe for innovation, and that's where reducing healthcare claim denials with artificial intelligence (AI) comes in. Like many other sectors, healthcare providers are slowly but increasingly turning to automation and AI for more accurate data and better insights. The Experian Health survey shows over one-half of healthcare providers turn to AI-driven healthcare claims management software to reduce claim denials. "Adding AI in claims processing cuts denials significantly," Tom Bonner, Principal Product Manager at Experian Health, explains. AI automation quickly flags errors, allowing claims editing before payer submission. It's not science fiction—AI is the tool hospitals need for better healthcare claims denial prevention and management." The current challenges in claims management High patient volumes and complex payer policies Experian Health's 2022 State of Claims survey revealed that reducing denials was a top priority for almost three-quarters of healthcare leaders. Why? High patient volumes mean there are more claims to process, and changing payer policies and insurance coverage compound an already overwhelming problem. An Sg2 report predicts that patient volume issues will continue over the next decade, with inpatient hospital volumes growing by 2%. This rise in patient numbers will require more data for claims management processing. Hospitals, often short-staffed, will have to allocate more resources to ensure claim approval and increase efforts to address claims denial. In addition to managing increasing patient volumes, keeping track of changing payer coverage and requirements has always been challenging for providers. The inconsistency of these payer rules and communication problems exacerbate the situation. Healthcare providers may need efficient solutions to keep up with these rule changes or allocate more time and resources to addressing and revising claims. Labor shortages and financial pressures According to a data brief from the American Hospital Association, the increasing rate of clinician burnout, the enduring effects of COVID-19, and ongoing strains on the healthcare workforce are compelling hospitals to recognize and tackle chronic labor shortages. Notably, 80% of healthcare leaders acknowledge that chronic staffing shortages present significant risks for their organizations. Increasing denial rates is one way these risks manifest. As the State of Claims 2022 report confirms, 30% of respondents mentioned staffing shortages significantly contribute to healthcare claim denials. Additionally, Experian Health's recent survey, Short Staffed for the Long-Term, which investigated the impact of healthcare staffing shortages, found that 70% of respondents facing staff shortages also experienced increasing denial rates. Labor shortages mean fewer hands on deck to deal with the claims processing workload, while financial pressures on hospitals mean the stakes are higher than ever to solve the problem of claim denials. Limitations and costs of manual claims processes Health payers deny hospital systems about $260 billion worth of inpatient claims annually. According to Experian Health's survey, manual processing and a lack of automation are the primary reasons for these medical claim denials. The State of Claims 2022 report found that 61% of respondents do not automate claims submission and denial prevention processes, leaving them to rely on manually processing claims. However, manual claims management tools simply cannot keep up with the complexities and data-intensive nature of claims processing. When claims processes are handled manually, healthcare workers are burdened with cumbersome tasks that could have been automated, there is a higher risk of errors that lead to claims denial, and there'll be more need to dedicate extra time and effort to appeal denied claims. These intensive steps necessary for manual claims processing drain staff resources and create opportunities for money and time waste that are eventually detrimental to the hospital's financial circumstances. How AI and automation address healthcare claim denials Automation and AI can ease the pressure by processing more claims in less time. They give providers better insights into their claims and denial data so they can make evidence-based operational improvements. AI tools achieve this by using machine learning and natural language processing (NLP) to identify and learn from data patterns and synthesize huge data swathes to predict future outcomes. While AI is ideal for solving problems in a data-rich environment, automation in claims processing can complete rules-based, repetitive tasks with incredible speed and reliability that a person might not achieve. By using automation and AI in claims processing, healthcare providers can gain better insights into their claims and denial data, resulting in improved financial performance and greater efficiency. Tom Bonner says, "AI in healthcare claims processing maximizes the benefits of automation for better claims processing, better customer experiences and a better bottom line for healthcare providers." However, the pace of AI adoption is somewhat slower in healthcare due to legacy data management systems and data silos. As efforts to improve interoperability progress, providers will have more opportunities to deploy AI-based technology. This prediction is already evident in claims management, where executives are keeping an ear to the ground to learn of new use cases for reducing claim denials with AI to help maximize reimbursements. Key benefits of AI in healthcare claims management Healthcare claims management upgraded with the inception of AI-driven healthcare claims management software exponentially benefits claims management through its predictive, accuracy, and error-reduction capabilities. Predictive Analytics and Pattern Recognition: The benefits of AI in healthcare claims processing lie in the ability of AI-driven solutions to predict potential issues before they occur by analyzing claims and providing a probability of denial that allows the end user to intervene and determine the appropriate collection. AI can analyze patterns in historical claims data to predict future volumes and costs, so providers can plan accordingly without simply guessing at what’s to come. Error Reduction and Clean Claim Submissions: AI can also assist in identifying inaccurate claims and improve claims processing accuracy to ensure clean claim submission and efficient revenue cycle management. Case studies and real-world applications AI and automation in claims processing are helping healthcare providers overcome the challenges contributing to increasing claim denial rates. Experian Health's AI-driven and automation solutions, like AI Advantage™, enable clients to benefit from the full potential of AI and automation to minimize claim denials. How Community Medical Centers uses AI Advantage to predict and prevent healthcare claim denials Community Medical Centers (CMC), a non-profit health system in California, uses Experian Health's new solution, AI Advantage, which uses AI to prevent and reduce claim denials. Eric Eckhart, Director of Patient Financial Services, says they became early adopters to help staff keep up with the increasing rate of denials, which could no longer be managed through overtime alone. "We were looking for something technology-based to help us bring down denials and stay ahead of staff expenses. We're very happy with the results we're seeing now." AI Advantage reviews claims before they are submitted and alerts staff to any likely to be denied based on patterns in the organization's historical payment data and previous payer adjudication decisions. CMC finds this particularly useful for addressing two of the most common types of denials: those denied due to lack of prior authorization and those denied because the service is not covered. Billers need up-to-date knowledge of which services will and will not be covered, which is challenging with high staff turnover. AI Advantage eases the pressure by automatically detecting changes in how payers handle claims and flagging those at risk of denial so staff can intervene. This reduces the number of denials while facilitating more efficient use of staff time. Eckhart says that within six months of using AI Advantage, they saw 'missing prior authorization' denials decrease by 22% and 'service not covered' denials decrease by 18% without additional hires. Overall, he estimates that AI Advantage has helped his team save more than 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." How Providence Health found $30M in coverage and reduced denial rates with automated eligibility checks Providence Health is a prominent health system with 56 hospitals and over 1,000 physician clinics, serving an annual patient volume of over 28 million. This magnitude of patient volume created greater issues with slow and manual payer eligibility processes and increased eligibility denials. Furthermore, in response to Epic's growing payer plan table, Providence Health sought an effective solution to merge and organize data on insurance plans, contracts, and reimbursement details and automate eligibility tracking within the system. Their search led them to Experian Health's Insurance Eligibility Verification solution. According to Emily Brown, Director of Operation Excellence, "Our search for a solution that seamlessly integrates with Epic led us to choose Experian as our preferred vendor, given their proven track record of working with Epic." Providence Health implemented Experian's Eligibility solution, including a Bad Plan Code Detection tool to catch coding errors before submission. The solution also allowed them to stay connected to over 900 payers and provide backup connectivity to over 300 additional payers for uninterrupted service. The solution's automated work queues also helped staff work more efficiently. Providence reduced denial rates, saving $18 million in potential denials in 5 months of implementing Experian's Eligibility solution. The tool also helped them find $30 million in coverage annually while reducing staff workload. How Schneck Medical Center prevents and triages denials with AI Advantage™ Schneck Medical Center delivers care to four counties in Indiana, supported by a team of over 1,000 employees, 125 volunteers, and close to 200 physicians. According to Skylar Earley, Director of Patient Financial Services, "The challenge we (Schneck Medical Center) sought to overcome by leveraging AI Advantage at our organization was just gaining more insight into how denials originate and what actions we can take to prevent those from happening." Schneck Medical Center collaborated with Experian Health to implement: AI Advantage™ — Predictive Denials and AI Advantage™ — Denial Triage. They aimed to use these tools to identify claims that were more likely to be denied so that the appropriate personnel could address them and clean them before sending them to payers. They also wanted to be able to identify and prioritize denials with the potential for revenue reimbursement that will impact their bottom lines. AI Advantage™ — Predictive Denials enabled team members to make informed and timely decisions before submitting claims. In the first six months of using the tool, Schneck achieved a 4.6% average monthly decrease in denials. The time spent on denials decreased by 4x, and flagged claims were resolved in 3–5 minutes rather than the previous 12–15 minutes per correction. With AI Advantage — Denial Triage, billers were able to redirect their effort on denials more likely to be reimbursed. This prioritization enables them to avoid wasting time on high-dollar claims that are unlikely to be paid. "We had no insight into whether we were performing value-added work when we followed up and worked denials. Now we see those percentages," says Skylar Earley, Director of Patient Financial Services Steps to implementing AI in claims management AI Advantage works in two stages in claims management, reducing claims denial and addressing denied claims to prioritize those with the best value for reimbursement. Stage One: Predictive Denials Stage one is Predictive Denials, which uses machine learning to look for patterns in payer adjudications and identify undocumented rules that could result in new denials. As demonstrated by CMC and Schneck Medical Center, this helps providers prevent denials before they occur. Stage Two: Denial Triage Stage two is Denial Triage, which comes into play when a claim has been denied. This component uses advanced algorithms to identify and segment denials based on their potential value so staff can focus on reworking the denials that will impact their bottom line. Enhancing revenue cycle management with AI Embracing integrated workflows uncovers novel applications for reducing healthcare claim denials with AI and automation. AI Advantage seamlessly works within ClaimSource®, which means staff can view data from multiple claims management tools in one place. These integrations amplify the benefits of each tool, giving healthcare providers better insights into their claims and denial data. With richer data, organizations will find new ways to leverage AI to increase efficiency, reduce costs and boost revenue. Key differentiators In addition to its AI solutions, Experian Health offers solutions that automate claims processing to facilitate claims management and increase efficiency. ClaimSource® helps providers manage the entire revenue cycle by creating custom work queues and automating reimbursement processing. This intelligent healthcare claims management software ensures clean claims before they're submitted, helping to optimize the revenue cycle. The software generates accurate adjudication reports within 24 to 72 hours to speed up reimbursement. ClaimSource ranked #1 in Best in KLAS 2024, for its success in helping providers submit complete and accurate claims. This tool prevents errors and helps prepare claims for processing. Because the claims are error-free, providers can optimize the reimbursement processes and get their money even faster. Another Experian Health solution, Enhanced Claim Status, improves cash flow by responding early and accurately to denied transactions. This solution gives healthcare providers a leg up on denied, pending, return-to-provider, and zero-pay transactions. The benefits include: Provides information on exactly why the claim was denied Speeds up the denials process Automates manual claims follow-ups Integrates with HIS/PMS or ClaimSource Automation frees up staff to focus on more complex claims Denials Workflow Manager integrates with the Enhanced Claim Status solution to help eliminate manual processes, allowing providers to optimize claims submission and maximize cash flow. Using AI and automated solutions to prevent healthcare claim denials There's no question that healthcare claims denials management is an unwieldy, time-consuming, and ever-changing process. Reimbursement is complex, but human error plays a large part in missed opportunities and lost revenue. The revenue cycle becomes seamless with AI and automation in healthcare claims management. Any healthcare provider seeking faster reimbursement and a better bottom line knows that improving claims management is critical to better cash flow. AI and automation-driven claims management software offers healthcare organizations a way to achieve these goals. Contact Experian Health today to prevent healthcare claim denials and improve your claims management process with AI Advantage and other denial management solutions.

In healthcare revenue cycle management (RCM), the mantra is clear: maximize revenue and minimize costs. It's more complex in practice, requiring RCM leaders to anticipate and adapt to whatever's around the corner. Following the latest revenue cycle management trends is vital, as economic turbulence and labor shortages demand flexibility and resilience. Competition from new players and changing consumer expectations call for constant updates to the latest technology. And currently, as electoral news cycles heat up ahead of the general election, attention is turning to potential policy changes and their implications for revenue cycle management. Keeping an eye on how the industry evolves will help RCM managers hold the course for financial stability and growth. Here are 12 revenue cycle management trends to watch: 1. Investment in managed RCM services Investment in managed RCM services has become an increasingly attractive option for RCM managers grappling with persistent workforce challenges and navigating the intricate landscape of payer policies. Outsourcing has become a strategic solution to address staffing shortages and limited resources. By partnering with vendors like Experian Health, healthcare organizations can get access to specialist expertise, datasets and automated technologies they'd be hard-pressed to develop in-house. For example, Collections Optimization Manager allows users to retain control and oversight of their collections processes but comes with real-time support from a dedicated Collections Optimization Consultant for a bespoke collections strategy built on data insights and industry knowledge. 2. Staff shortages and reimbursement model changes Staffing shortages are particularly problematic when they bump up against changing reimbursement models. Unfortunately, staffing shortages are still common in the future of revenue cycle management. In Experian Health's latest staffing survey, 69% of respondents believe that staffing will continue to be a problem in the future. More providers are moving to value-based care models, which have implications for claims submission processes and provider-payer relationships. High staff turnover leaves providers without the knowledge and expertise to handle more complex claims and billing processes. A tool like Contract Manager and Contract Analysis, recently awarded Best in KLAS for Contract Management, helps monitor and manage payer contracts to stay on top of terms and conditions, mitigate risk and maintain financial stability. 3. Workflow inefficiencies Another way to ease staffing pressures is to improve workflow efficiency. A recent Bain report found that 40% of clinicians reported a lack of effective workflows, while up to 70% had never tried automated workflow management. There's a missed opportunity here, as manual processes and communication bottlenecks seriously disrupt revenue cycle functions. Organizations that leverage more efficient ways of working will secure a competitive advantage as new demands and pressures arise. Reviewing key performance indicators is a good starting point for determining where to focus improvement efforts. 4. Technological advancements in RCM The ongoing evolution of artificial intelligence (AI) has profoundly impacted various sectors, and the realm of revenue cycle management is no exception. AI-based tools will continue to shape the future of revenue cycle management, and providers will have to implement these tools in order to keep up with the competition. Machine learning algorithms increase RCM efficiency and accuracy by automating routine tasks, while advanced tools like AI AdvantageTM analyze vast datasets to identify patterns and predict outcomes. AI Advantage transforms claims management by predicting claims that are most likely to be denied, and then triaging denials so staff can focus on those with the highest likelihood of reimbursement. Eric Eckhart, Director of Patient Financial Services at Community Medical Centers, says, “We were looking for something technology-based to help us reduce denials and stay ahead of staff expenses. We're very happy with the results we're seeing with AI Advantage.” 5. Technology integration The amount of data being collected, generated, processed and shared within healthcare organizations is skyrocketing. More data means greater capacity for personalized services, fewer gaps in care, and more streamlined RCM processes—but only if data systems talk to one another. Opting for a single integrated solution avoids the pitfalls of shoe-horning new tools into legacy systems. For example, Experian Health's acquisition of Wave HDC means organizations can now access a single tool to check multiple data sources at registration. Patient Access Curator uses AI to perform eligibility verification, coordination of benefits, coverage discovery and more, to help healthcare organizations accelerate registration and reduce claim denials. 6. Medical billing errors Whether a coding mistake or an accidental typo, billing errors cost providers dearly in lost revenue and time. Unfortunately, they're a growing risk as more patients show up with coverage from multiple payers and high deductibles. On the upside, organizations should see improvements with relatively little effort—assuming they deploy the right tools and strategies. Patient Access Curator, mentioned above, uses AI and robotic process automation to collect and verify the information needed to compile error-free claims with just a single click. Watch the webinar to find out more about how Patient Access Curator helps providers eliminate errors and reduce claim denials from the front end. 7. Patient-centric approaches A McKinsey report published in April 2024 highlighted a continuing trend in healthcare consumers' keenness to use digital products and services when accessing care. Experian Health's series of patient access surveys show a consistent desire for personalization, convenience, choice and compassion in patient access. These principles underpin Experian Health's approach to helping providers open their digital front door. Online self-scheduling, digital registration, and tailored patient outreach all improve patient satisfaction and engagement, subsequently bolstering revenue generation. 8. Financial clearance and diverse payment options One specific opportunity relating to the above point lies in offering a patient-centered financial experience. Financial clearance tools and flexible payment plans have gained prominence by making it easier for patients to understand and manage their financial obligations. Tools like Patient Financial Clearance automate presumptive charity screening to see if patients qualify for financial assistance programs, provide scripts to help staff deliver compassionate financial counseling, and calculate affordable monthly payments based on individual circumstances. Case study: Discover How UCHealth wrote off $26 million in charity care with Patient Financial Clearance. 9. Financial engagement and omnichannel platforms Patient collections are a growing challenge for providers. Patients similarly complain of unnecessary friction in the payment process: The State of Patient Access 2024 survey found that 72% of patients want more digital payment options digital methods. By providing a unified experience across online portals, mobile apps and point-of-service payments, providers can increase patient engagement with financial processes and accelerate collections. 10. Challenges specific to each revenue cycle segment Organizations are shifting away from uniform solutions for the entire revenue cycle and instead embracing tailored strategies that accommodate the unique requirements of various departments, services, and workflows. By harnessing advanced analytics and automation, providers gain insight into the nuanced challenges within revenue cycle management, enabling them to adopt the best tools. This approach ranges from customizing intake and billing processes on a departmental basis to automating claims processing tailored to different payers' specifications. 11. Customizable RCM solutions Just as patients want tailored solutions, so too do providers. Data analytics and AI advancements enable providers to develop claims management solutions that fit their unique mix of payers and patients. On a recent webinar, representatives of Eskenazi Health discussed their use of Patient Financial Advisor, and how Experian Health consultants helped their organization customize their setup and workflow. 12. The role of strategic partnerships Partnering with a vendor like Experian Health can be a transformative step for healthcare organizations seeking to optimize their operations and enhance patient care. With Experian Health's expertise in healthcare technology and data management, organizations gain access to a comprehensive suite of automated solutions tailored to their specific needs. This also ties in with the first item in this list: implementing new ways of working isn't always easy, but with a trusted vendor, providers can manage and accommodate revenue cycle management trends more confidently, efficiently, and cost-effectively. By partnering with Experian Health: Providence Health found $30million in coverage and reduced denial rates IU Health processed $632 million in claims transmissions The pace of change may be relentless, but with the right tools and support, RCM managers can stay one strategic step ahead and future-proof their revenue cycle for whatever surprises lie in store. Learn more about how Experian Health's revenue cycle management solutions can help providers keep up with revenue cycle management trends while maximizing revenue and minimizing costs.