Tag: collections

From claim denials to staffing shortages, healthcare revenue cycle challenges are increasing. This article explores key issues and strategies to improve financial performance.

Healthcare collections are facing drastic changes under the One Big Beautiful Bill Act (OBBBA). In the third webinar in Experian Health’s three-part OBBBA series, industry leaders discussed how precision collections strategies can help defend margins without breaking trust.

Calculating patient responsibility in medical billing requires accurate, real-time data on coverage, benefits and payer rules. This article explains how patient financial responsibility is determined, why inaccurate estimates lead to delayed care and rising bad debt, and how providers can improve patient cost estimation.

In this guide to healthcare revenue cycle management, learn how healthcare organizations can optimize the revenue cycle process at every stage of the patient journey to increase reimbursements and improve operational efficiency.

Healthy revenue cycles rely on efficient patient collections. Collections processes that drag on can frustrate both providers and patients, leading to delayed payments, a high administrative burden on staff and unpaid balances piling up. For many providers, adopting collections optimization technology is a proven strategy to make the collection process more efficient, compassionate and patient-centered.   What is collections optimization in healthcare?  The title says it all: optimizing patient collections. More specifically, collections optimization in healthcare refers to technology-based solutions that streamline the patient collections process to collect a greater percentage of the money owed. Using data-driven, patient-centric insights, collections optimization solutions allow billing staff to efficiently identify patient payment capabilities, focus collection efforts and improve patient communications. Collection performance metrics are often built into collections optimization platforms and help providers continuously improve collections strategies over time. So, it's not simply a process to collect, it's a holistic approach to improving a health system billing team's cashflow, in addition to capturing revenue that's owed to the organization. Key components of the collections optimization process  The collections optimization process typically includes specific key components to help providers accelerate patient collections strategies. For instance, Experian Health's Collections Optimization Manager solution has six foundational areas that save time and accelerate payments:  Screening: Cleans up accounts receivable data by screening patient accounts for bankruptcy, deceased, Medicaid and charity so that staff can spend their collection efforts on accounts that have a higher likelihood of payment. Collections staff often spend time on accounts that are deceased, bankrupt, or eligible for Medicaid or charity—accounts unlikely to yield payment. This diverts attention from accounts with higher recovery potential, ultimately impacting overall cash flow. With Collections Optimization Manager, this AR becomes more manageable, and staff can work high-yield accounts in-house, while saving time and money.  Segmentation: Uses credit, behavior and demographic data to help providers identify which accounts are most likely to pay. Experian Health has robust patient data and powerful predictive analytics that reveal which accounts are most likely to pay. By leveraging propensity-to-pay scores, providers can prioritize efforts where they'll have the most impact. This targeted approach helps increase collections while reducing time and cost to collect.  Routing and reconciliation: A data-driven rules engine builds routing and recall rules that distribute accounts to the internal and external servicing channels that are most likely to collect the amount owed and reconciles provider and agency inventory  Agency management: Offers real-time insights into third-party collections agencies' performance with reports and dashboards. This puts a focus on key metrics, so teams can measure performance against industry standards to improve patient payment forecasting and successfully manage bad debt reserves   Monitoring: Monitors unpaid patient accounts for changes in a patient's contact information or ability to pay, and notifies in-house staff so that they can re-engage patients to collect their pending balances   Consulting and analytics: Collections consultants evaluate reports, suggest best-practice collections strategies and provide users with industry know-how. They can also provide quarterly performance reports to show performance and progress.  Discover how Weill Cornell Medicine and Experian Health implemented a smarter collections strategy that delivered $15M in recoveries — and how you can do the same. This on-demand webinar shows how to move faster, work smarter and collect more, without adding headcount. Watch now > The link between collections and financial success in revenue cycle management  Healthy revenue cycles rely on timely patient payments. With so many other financial pressures on patients today – paying for groceries, filling up the family car or basic home repairs - it can become overwhelming to manage it all. When bills are confusing, reminders are missed or affordability is a concern, it can result in late payments. Busy billing teams are then tasked with chasing down collections, leaving little time to focus on other revenue-generating activities. As collection timelines drag on, providers may experience cash flow issues, revenue losses and even bad debt. This can lead to disruptions in the revenue cycle, affect the bottom line and ultimately impact the quality of patient care.  Why collections optimization matters  Healthcare costs are rising, and Americans are carrying about $3,100 in medical debt on average, up from $2,000 the previous year. One in five patients report experiencing distress over healthcare costs they can't afford, and 15 million Americans have medical collections on their credit reports, according to 2024 data from the Consumer Financial Protection Bureau.   By adopting collection optimization solutions, providers not only strengthen the revenue cycle but also have the opportunity to improve the overall patient financial experience. Tools like Collection Optimization Manager help billing teams quickly understand their patients' ability and willingness to pay, identify charity eligibility and implement effective and compassionate patient billing outreach. Plus, performance analytics help staff assess performance over time and adjust collection strategies accordingly. Healthcare institutions aim to understand a patient's financial situation and take steps to assist them in their medical journey. This approach is central to their mission.  On-demand webinar: Boost self-pay collections - Novant Health & Cone Health's 7:1 ROI & $14M patient collections success Hear how Novant Health and Cone Health achieved 7:1 ROI and $14 million in patient collections with Collections Optimization Manager.  Key challenges    Maximizing patient collections is always a priority for providers. However, getting patients to pay their medical bills often comes with challenges, due to:    Poor financial insights: Billing staff may not have enough information about patients' financial circumstances to make predictions about how likely they are to pay. This can make prioritizing accounts and creating patient engagement strategies tricky. Collections staff may often spend time on accounts that are deceased, bankrupt, or eligible for Medicaid or charity – accounts unlikely to yield payment.   Ineffective outreach: Collections staff may spend hours calling patients with low collection yields.  Affordability concerns: Patients may be worried about how they'll pay for their bills, especially if they have a high-deductible healthcare plan. This can lead to late payments.  Insurance policy updates: Busy billing staff might not always be able to stay on top of frequent insurance changes and regulatory updates. This can lead to errors in patient billing or incorrect cost calculations, resulting in late or unpaid payments.   Lack of easy payment options: Patients want convenient, secure ways to pay on their time. When easy options like online and mobile payment methods aren’t available, it can lead to frustration and late payments.   Outdated manual processes: Valuable staff hours are often lost to cumbersome steps in the collections process, like phone calls and follow-up paperwork.   How technology is transforming collections ​​optimization  When implementing billing and collections optimization, today's providers are turning to technology that includes a growing range of automated solutions for more transparent billing, personalized payment options and increased efficiencies. Combining collections and automation enables a more transparent, user-friendly process that gives patients more financial control. Additionally, new technologies, like predictive analytics, machine learning and artificial intelligence, also help providers better understand their patients' financial needs so that they can deliver a more compassionate and supportive collections experience. Case study: How Wooster Community Hospital collected $3.8M in patient balances with Collections Optimization Manager Read more about how automated collections strategies helped Wooster Community Hospital achieve a $3.8 million increase in patient payments.  Three best practices that accelerate collections A strong collections optimization solution should be able to accomplish the following:  Segment accounts based on propensity to pay  Billing teams can improve collections optimization by using automation and segmentation to obtain the data needed to prioritize high-value accounts. Collections Optimization Manager, for instance, uses multiple data sources to automatically screen and segment accounts based on propensity-to-pay scores.   Improve patient communication   Providers can use collections optimization tools and complementary automated patient outreach tools to foster better patient communication without putting additional strain on busy staff. Solutions like PatientDial and PatientText send patients timely bill reminders and self-pay options via voice or text message, while other financial assistance tools, like Patient Financial Clearance, assign patients to the correct financial pathway.  Benchmark performance  Billing teams can use their collections optimization tools to review comprehensive reports and scorecards on their agencies' performance. This allows healthcare organizations to compare performances across multiple vendors. Advanced reporting helps identify performance improvement opportunities, refine patient payment forecasts and manage bad debt. In some cases, such as with Experian Health's Collections Optimization Manager, users can also access expert consultative support to refine collections strategies further.   How can healthcare companies measure success?  Revenue cycle leaders know that “what gets measured, gets managed.” Using a collections optimization solution to monitor key performance indicators (KPIs) enables providers to fine-tune their collections process and assess performance over time. For instance, Experian Health's Collections Optimization Manager captures critical KPIs, such as accounts receivable days and collection rates. User-friendly dashboards and reports allow staff to measure performance against past metrics and industry trends. Plus, users benefit from consultants who can help choose the ​​right KPIs to track, evaluate reports and develop new collection strategies.  Learn more about how Experian Health's data-driven patient collections optimization solution helps revenue cycle management staff collect more patient balances.  Learn more Contact us Contact Experian Health Complete the form below to be connected with a member of our Sales team. For Customer Support, including password resets, please visit our Support page.

Key takeaways: Error-prone manual processes are a top reason for delayed reimbursements. Automation across the revenue cycle can help providers see quicker reimbursements. Many processes can be automated: patient estimates, eligibility verification checks, collections, claims management, and more. Prompt reimbursements are crucial for today's healthcare organizations. Delayed reimbursements can lead to a domino effect that impacts the entire revenue cycle. Provider productivity goes down along with quality of care, patients have poor experiences and the bottom line takes a hit. Reimbursement delays often stem from error-prone, outdated manual processes, overburdened staff and excessive administrative work. However, incorporating revenue cycle management automation can help providers overcome numerous reimbursement challenges and improve processes overall. With revenue cycle automation, providers can eliminate many persistent pain points in traditional revenue cycle management (RCM). Staff no longer lose time to tedious manual tasks, patients get their queries answered faster, and managers get the meaningful data they need to drive improvements. And the biggest win? It's easier for providers to get reimbursed for their services, faster and in full. What is revenue cycle automation and how does it work? Healthcare revenue cycle management knits together the financial and clinical components of care to ensure providers are properly reimbursed. As staff and patients know all too well, this can be a complex and time-consuming process, involving repetitive tasks and lengthy forms to ensure the right parties get the right information at the right time. This requires data pulled from multiple databases and systems for accurate claims and billing, and is a perfect use case for automation. In practice, revenue cycle automation involves using technology to complete tasks and processes that may have previously been manually completed. These tasks might include: Automatically generating and issuing invoices, bills and financial statements Streamlining patient data management and exchanging information quickly and reliably Processing digital payments Collating and analyzing performance data to draw out valuable insights. Understanding the challenges in traditional revenue cycle management When it comes to delayed reimbursements, providers lacking revenue cycle management automation typically face the following challenges: Inefficiencies in patient access According to The State of Patient Access 2025, front-end operations are still a source of friction for patients and providers. Four out of the five top patient access challenges reported by providers relate to front-end data collection. Top concerns include insurance searches, reducing errors, and speeding up authorization. Nearly 48% say data collected at registration is “somewhere” or “not” accurate, while 85% report an urgent need for faster, more comprehensive insurance verification. Rising claim denials due to manual errors The State of Patient Access also showed that manual, error-prone processes often lead to delays, claim denials and patient frustration. In fact, more than half (56%) of providers say patient information errors are a primary cause of denied claims. When claims are denied, reworks are often time-consuming, costly and place additional burdens on already overworked staff. Difficulty in managing patient collections Due to rising costs, confusion over estimates and a lack of patient payment options, providers are often left to deal with unpaid medical bills. According to Experian Health data, 29% of patients say paying for healthcare is getting worse. Affordability is a key factor, but patients are also struggling to understand how much their insurance covers and looking for convenient payment options, like payment plans. Download The State of Patient Access 2025 report for a full run-down of patient and provider views about access to care. Six ways revenue cycle automation accelerates reimbursements Revenue cycle improvement through automation can help speed up reimbursements for healthcare providers by: 1. Capturing accurate information quickly during patient access Gathering patient data manually is time-consuming. Errors in the process can lead to denied claims and roadblocks in patient care. Tools like Experian Health's Patient Access Curator use artificial intelligence (AI) to streamline patient access and billing, improve data quality and address claim denials from the outset. This solution also ensures that all data is correct on the front end by checking eligibility, coordination of benefits (COB), Medicare Beneficiary Identifier (MBI), demographics and insurance discovery. 2. Simplifying collections and focusing on the right accounts Healthcare collections are a drag on resources. Automating the repetitive elements in the collections process helps reduce the burden on staff. Collections Optimization Manager leverages automation to analyze patients' payment histories and other financial information to route their accounts to the right collections pathway. Scoring and segmenting accounts means no time is wasted chasing the wrong accounts. Patients who can pay promptly can do so without unnecessary friction. As a result, providers get paid faster. 3. Reducing manual work and staff burnout Chronic staffing shortages continue to plague healthcare providers. In Experian Health's recent staffing survey, 96% of respondents said this affected payer reimbursements and patient collections. While automation cannot replace much-needed expert staff, it can ease pressure on busy teams by relieving them of repetitive tasks, reducing error rates and speeding up workflows. 4. Maintaining regulatory compliance with minimal effort While regulatory compliance may not directly influence how quickly providers get paid, it does play a crucial role in preventing the delays, denials and financial penalties that impede the overall revenue cycle. Constant changes in regulations and payer reimbursement policies can be difficult to track. Automation helps teams continuously monitor and adapt to these changes for a smoother revenue cycle, often with parallel benefits such as improving the patient experience. One example is Experian Health's price transparency solutions, which help providers demonstrate compliance with new legislation and provide extra clarity for patients. 5. Improving the end-to-end claims process Perhaps the most apparent way RCM automation leads to faster reimbursement is in ensuring faster and more accurate claims submissions. Automated claims management solutions, like Experian Health's award-winning ClaimSource®, reduce the need for error-prone manual processes, while improving accuracy and efficiencies in the claims editing and submission process. Additional claims management tools, like Claim Scrubber, also help providers submit more complete and accurate claims. Other tools, like Denial Workflow Manager, can be used if claims are denied. With automation and its extensive data analysis capabilities, work lists are generated based on the client's specifications, like denial category and dollar amount, to identify the root cause of denials and improve upstream processes to prevent them. And as artificial intelligence (AI) gains traction, providers are discovering new ways to use technology to improve claims management. AI Advantage™ uses AI and machine learning to find patterns in payer behavior and identify undocumented rules that could lead to a claim being denied, alerting staff so they can act quickly and avert issues. Then, it uses algorithmic logic to help staff segment and rework denials most efficiently. Providers get paid sooner while minimizing downstream revenue loss. 6. Providing better visibility into improvement opportunities Finally, automation helps providers analyze and act on revenue cycle data by identifying bottlenecks, trends and improvement opportunities. Automated analyses bring together relevant data from multiple sources in an instant to validate decisions. Machine learning draws on historical information to predict future outcomes, so providers can understand the root cause of delays and take steps to resolve issues. A healthcare revenue cycle dashboard is not just a presentation tool; it facilitates real-time monitoring of the organization's financial health, so staff can optimize workflows and speed up reimbursement. Embracing automation for a more efficient revenue cycle Like any business, healthcare organizations must maintain a positive cash flow to remain viable and continue serving their communities. Revenue cycle automation strategies can cut through many of the common obstacles that get in the way of financial stability and growth and speed up reimbursements. Learn more about Experian Health's revenue cycle management technology and see where automation could have the biggest impact on your organization's financial health. Learn more Contact us Contact Experian Health Complete the form below to be connected with a member of our Sales team. For Customer Support, including password resets, please visit our Support page.

Since 2000, US hospitals have provided nearly $745 billion in uncompensated care. Many contributing factors lead to revenue losses. However, incorrect or missing patient insurance information is often a top culprit. Providers don't have a complete picture of a patient's coverage when active benefits are incomplete or unknown. The result? Insurance denials, time wasted on resubmissions and increased bad debt. In today's complicated healthcare environment, disjointed insurance verification processes often make it challenging for providers to find hidden coverage. Changing payer requirements and ever-evolving regulatory changes also make checking active coverage tricky. To protect profits, organizations must remain vigilant when finding all available patient insurance coverage to pay for the cost of care. Adopting technology, like automated coverage discovery solutions, can help providers accurately and quickly determine what insurance a patient has, if any, and what it covers. This article takes a deeper dive into some common insurance discovery challenges providers face and how Experian Health's Coverage Discovery® helps streamline the process and reduce revenue losses. Why insurance discovery matters A healthcare organization's financial performance hinges on accurate insurance billing and claims processing. Insurance discovery helps employers find missing coverage quickly and maximize reimbursement. However, providers often don't have the correct insurance information. Missing coverage is cited as a top reason for claim denials for nearly 20% of providers, according to data from Experian Health's State of Claims 2024 survey. Patients may enroll in a new employer plan, move to a new state, switch jobs or have other factors affecting their coverage. Changes can happen at any stage in the patient journey. In some cases, patients may not be aware of what's changed. Evolving payer policies also result in altered or expired benefits, further complicating matters. Common challenges in insurance coverage identification Insurance coverage identification is a necessary part of revenue cycle management, but isn't always a streamlined process. Some of the common challenges providers face during coverage discovery include: Incomplete insurance information Missing or outdated insurance information affects all aspects of the revenue cycle, from claims processing to bill payment. However, it's common for patients not to submit their complete insurance information to providers or forget to update paperwork after initial registration. Patients often don't know their coverage status or are unsure how much of their healthcare costs are paid for by insurance – especially Medicare beneficiaries. When providers fail to spot incomplete or inaccurate patient insurance information, it leads to coverage gaps, claims denials and unpaid medical bills. Heavy manual workload for administrative staff With healthcare organizations already feeling the squeeze of continued staffing shortages and rising operational costs, providers can't afford to waste valuable staff time. Unfortunately, manual insurance coverage identification processes are typically time-consuming and error-prone. Phoning payers, logging into multiple portals and manually entering patient data places added burdens on staff. In many cases, providers only learn that a patient's active benefits have changed after the claim has been submitted. Correcting errors takes time, with 43% of providers reporting that they need at least 10 extra minutes to check eligibility after an incomplete initial check. Changing payer requirements and new regulations During coverage discovery, providers must consider payer requirements and regulations. However, it's not always easy for staff to stay on top of ever-evolving payer requirements and new healthcare industry regulations. During coverage discovery, providers often manually gather information from multiple databases and may miss important updates or have incomplete or inaccurate coverage information. How insurance discovery typically works When a patient seeks care, providers use health insurance discovery to check whether a patient has active insurance and confirm coverage details, like plan type and payer name. The coverage discovery process helps providers know if a payer will cover planned services and ensures the cost of care is billed to the correct payer. It's also common for a patient to have more than one active plan. So coverage discovery typically involves cross-checking payer databases to verify that no coverage is missed. In cases where a patient doesn't have insurance coverage, providers can use insurance discovery to check a patient's Medicaid eligibility and charity support options. Successful revenue recovery starts with a patient engagement strategy that simplifies the steps to reimbursement at every patient touchpoint. A three-pronged approach can increase the likelihood of payment by identifying the opportunities to check for coverage before the patient comes in for care, at the time of service, as well as after care. 1. Pre-service insurance coverage checks Verifying and tracking the patient's insurance status before they come in for care means their financial obligations will be clear from the start. Advanced knowledge makes it much easier for patients to plan – and pay ­– their medical bills. An automated coverage identification solution such as Experian Health's Coverage Discovery solution can scan patient information as soon as they schedule an appointment to find any previously unknown coverage, using multiple proprietary databases and historical information. 2. Identifying coverage at the point of care When the patient receives their treatment, Coverage Discovery can check for any billable commercial and government coverage that may have been missed during pre-service. Integration with eCare NEXT® and HIS/PMS platforms provides on-demand insurance coverage scans at the time of service. Providers should also give patients opportunities to pay for care at this point too, to avoid the need to chase for payments later. A simple and quick payment experience can reduce the risk of additional A/R days and collections agency fees. 3. Post-service checks for unidentified coverage Finally, for any accounts that haven't been settled at the point of care, providers should run further coverage checks before determining whether to send statements and payment reminders to the patient, write the amount off as bad debt, or engage a collections agency. Coverage Discovery can detect any discrepancies that could lead to denied claims. This solution scans patient balances in A/R for active insurance coverage 30, 60, and 90 days post-service. It also offers weighted confidence scores so that accounts are reclassified and rebilled appropriately. Automated scrubbing can eliminate manual processes so staff can use their time more efficiently. Coverage Discovery also does a final scrub scan on patient balances before sending accounts to collections, or writing off to charity or bad debt. These steps will help plug revenue leaks at every stage of the patient journey, improving cash flow, reducing the risk of bad debt, and creating more satisfying patient experiences. How insurance Coverage Discovery benefits healthcare providers In 2023, Experian Health's Coverage Discovery successfully tracked down previously unknown billable coverage in nearly one-third of patient accounts, resulting in more than $25 million in found coverage. Providers seeking to maximize revenue can benefit from automating the insurance discovery process with Coverage Discovery. Here's how: Quickly find missing insurance coverage in real-time Experian Health's Coverage Discovery helps providers catch outdated insurance information and locate missing coverage early. This helps ensure changes to a patient's benefits are caught before a claim is submitted. With real-time access to multiple proprietary databases – like employer information, historical search information, registration history and demographic validation – providers can proactively identify billable Medicare, Medicaid and private insurance options. Needing only minimal patient details for a search, Coverage Discovery instantly locates additional primary, secondary and tertiary insurance. See it in action: How Luminis Health used Coverage Discovery® to find $240K in billable coverage each month. Eases administration burden on busy staff Heavily manual processes and outdated insurance information cost providers time and money during insurance discovery and throughout the revenue cycle. Coverage Discovery streamlines discovery behind the scenes and saves staff time by running continuous checks throughout the patient journey. When staff isn't bogged down with tedious insurance discovery processes, they can focus on more complex tasks and providing quality patient care. See it in action: How UCHealth secured $62M+ in insurance payments and saved $3.5M+ in 2022 with Coverage Discovery. Reduces the likelihood of claims denials Claim errors, such as the wrong payer information or coverage information, often result in delays, denials or bad debt. However, when insurance discovery is automated with a solution like Coverage Discovery, the process is faster and no longer relies on error-prone manual tasks.  Providers benefit from cleaner claims, a more streamlined claims submission process and quicker payer reimbursements. Choosing the right automated insurance coverage discovery solution Experian Health's comprehensive coverage identification solution, Coverage Discovery, helps providers make the reimbursement process easier to navigate and reduces the burden on front and back-end staff. This automated solution is capable of operating at every touchpoint of the patient journey, from registration to collections. 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 Contact Experian Health Complete the form below to be connected with a member of our Sales team. For Customer Support, including password resets, please visit our Support page.

A positive patient experience can quickly sour when difficult financial conversations enter the picture. High out-of-pocket costs and confusing medical bills make payments a sensitive issue for many patients. For providers, the challenge is clear: how to improve patient collections while delivering compassionate care. This article considers proven strategies and best practices to simplify patient collections, maximize revenue, and keep the focus on patient-centered care. The importance of optimizing patient collections for healthcare providers For many patients, an unforeseen medical emergency can quickly become a financial one. According to a 2024 report by the Consumer Financial Protection Bureau, medical debt rose from an average of $2,000 per person to over $3,100 in a year, while 15 million Americans carry medical collections on their credit reports. Such financial strain erodes the patient experience, with one in five patients experiencing distress over healthcare costs they can't afford. Experian Health's State of Patient Access 2024 survey found that both patients and providers agree that understanding coverage helps patients manage their healthcare costs. Still, unpaid bills and aging accounts are a persistent concern for providers. Hospitals' operating margins may have rebounded, but remain extremely tight. Remaining alert to risks and opportunities in patient collections is essential for long-term financial health. As patients shoulder a greater share of their medical costs—and those costs continue to rise—efficient collections are critical for patient trust and financial resilience. Breaking down the patient collections process The patient collections process involves determining how much of the cost of care falls to the patient, and then billing and collecting the correct amounts. During registration, providers verify insurance coverage and eligibility to estimate what the insurer will cover. Accurate cost estimates can then be provided to patients upfront, giving them the option to make payments before or at the time of service. The bulk of billing and collections activities take place post-visit, sometimes involving third-party agencies. However, collections can be thwarted by several challenges. Staff must keep up with frequent changes in insurance policies to prevent errors in billing or cost calculations. Patients may worry about affordability, leading to late payments. Billing teams often lack information about patients' financial circumstances, making it hard to predict how likely they are to pay. On top of this, many patients expect more convenient payment options, such as online or mobile payment methods, and will express frustration if the process feels inconvenient. Proven strategies to collect more revenue, sooner Three ways to create a patient-friendly billing experience and ensure prompt payment include the following: 1. Reduce stress with clear pricing and flexible payment plans Patients want collections processes to be clearer and more transparent. The State of Patient Access survey found that more than four in ten patients say they would be more likely to cancel or postpone care without an accurate estimate. Six in ten say they'd be more confident in their ability to pay for care if they were offered a payment plan that took account of their financial situation. Automated patient estimates arm patients with accurate information about the expected cost of care in advance. They have more time to make their financial arrangements and are less likely to be surprised by a surprise bill. Providers can offer additional clarity and flexibility through tailored payment plans. Experian Health's Collections Optimization software uses advanced analytics and data to analyze individual patient accounts and determine their ability to pay. Patient Financial Clearance takes this a step further by helping providers run their presumptive charity process, which estimates a patients' Federal Poverty Level percentage (FPL%), to identify those who qualify for greater financial assistance. These solutions support more compassionate financial conversations, as staff can adjust their approach to suit each patient's financial situation. 2. Help patients find and understand coverage Relying on manual processes can slow down registration and miss potential payment sources. Since 2000, unidentified coverage opportunities have landed hospitals with more than $745 billion in uncompensated care. Given that patients are asking for help understanding coverage, it makes sense to build coverage discovery into the collections process. Experian Health's Coverage Discovery® automatically scans patient accounts throughout their care journey to uncover alternative payment methods and reduce financial strain. This has helped healthcare organizations like Luminis Health identify over $240k in active coverage per month, greatly reducing the financial risk for patients and providers. 3. Make payments easier to prevent delays Improving patient collections processes will be fruitless if patients can't easily make payments. Digital and mobile payment options are non-negotiable for today's digital-first consumers. Accepting payments at multiple collection points, including mobile devices, kiosks and patient portals, gives patients the convenience and choice they need to pay promptly. Best practices for patient collections management Aside from automation and digital tools, the strongest strategies for improving patient collections rest on one key ingredient: robust data. Collections software is only as good as the data behind it. With a tool like Collections Optimization Manager, providers can deploy advanced analytics to segment patient accounts so they can be handled appropriately. Using credit, behavior and demographic data, it applies a proprietary propensity-to-pay score to each account, so staff know which accounts to prioritize, write off or refer out. This approach has helped organizations like Novant Health and Cone Health bring in millions of dollars with personalized, patient-centric collections. On-demand webinar: Hear how Novant Health and Cone Health achieved 7:1 ROI and $14 million in patient collections with Collections Optimization Manager. Tracking patient collections success By monitoring key performance indicators like collection rates, accounts receivable days and patient feedback, providers can continue to fine-tune their processes. Collections Optimization Manager captures this data in user-friendly dashboards and reports, so staff can assess their performance against their own history and industry trends. Users also benefit from expert support from Experian Health consultants, who help teams evaluate reports and recommend the right collections strategies every step of the way. How to build a patient collection strategy that gets results For millions of Americans, medical debt isn't just a financial burden: it's a barrier to care. To overcome this challenge, providers need proactive collections strategies that prioritize patient well-being and financial stability. By incorporating automation, analytics, and digital tools, healthcare organizations can create patient collections processes that are clear, compassionate and effective, delivering better outcomes for both patients and providers. Find out more about how Experian Health's suite of healthcare collections products helps providers boost collections, cash flow and patient satisfaction. Learn more Contact us Contact Experian Health Complete the form below to be connected with a member of our Sales team. For Customer Support, including password resets, please visit our Support page.

“Our call strategies did not yield the desired outcomes, and we recognized the need for additional data to better support our goal. We were also mindful of the potential risk of staff burnout and the impact it could have on overall performance.”—Carey Lawrence, Revenue Cycle Administrator Customer Service and Self-Pay Collections, Weill Cornell Medicine Challenge Weill Cornell Medicine is a leading medical school and research institution with $1.3 billion in annual patient revenue. Facing $42 million in annual bad debt and rising call center demands, Weill Cornell needed to upgrade their collections strategy. Staff lacked real-time insights into patients' propensity to pay and often resorted to calling most patients — a frustrating and inefficient process. They needed a better way to verify insurance coverage, understand patient payment history and determine eligibility for Medicaid eligibility, charity care or other financial assistance. The company had three specific objectives: Increase net revenue by improving self-pay collections through better segmentation and prioritization. Optimize call center operations through automation and better communication with patients. Select the right partner with expertise to provide technical solutions, consultative guidance and process improvements. Solution Weill Cornell turned to Experian Health's Collections Optimization Manager to increase cash collections with smarter segmentation. The partnership provided access to dedicated support from an analytics consulting manager at Experian Health. Together, they used Collections Optimization Manager to create a more targeted collections strategy, and to automatically segment patient accounts based on propensity-to-pay scores. This allowed staff to focus on high-value accounts and stop wasting time on uncollectible accounts. They were able to use Collections Optimization to screen out accounts that weren't deemed collectible, such as accounts for deceased patients, those in bankruptcy, or those eligible for Medicaid or charity care. Access to better data also reduced manual workloads. Validating the database with their existing Epic data also helped catch and correct some missteps. “We were able to eliminate skip tracing, for example, because Experian's extensive data sources ensure our mailing addresses are up to date,” says Lawrence. To improve call center efficiency and deliver a more compassionate payment experience, Weill Cornell also implemented PatientDial, an automated dialer that uses the segmentation data from Collections Optimization Manager, to run targeted outbound patient call campaigns. The initial implementation of automated dialer campaigns increased net collections from 65% to 83%. Outcome Thanks to Collections Optimization Manager and PatientDial, Weill Cornell saw a 7:6:1 return on investment and achieved the following results: $15M collected in pending patient payments $7M reduction in annual bad debt placements 92% of recoveries trending at Champion Benchmarks Automating call campaigns also led to a noticeable improvement in staff morale. Lawrence observes that “staff are more satisfied with the new, automated processes because they can be more productive and don't have to guess at which accounts to call or when. Our operations are flowing more smoothly which decreases all our stress levels.” Lawrence also notes the power of good data: “The detailed, customized reports on our bad debt helped us identify issues early, allowing us to target collections more effectively. We reduced the number of accounts sent to agencies, ultimately saving time and money.” Looking ahead, Weill Cornell plans to explore new ways to use automation to improve management of Medicaid eligibility, presumptive charity and agency reconciliation. Discover how Collections Optimization Manager and PatientDial can streamline your collections process, enable higher collections rates and improve patient communications. Learn more Contact us Contact Experian Health Complete the form below to be connected with a member of our Sales team. For Customer Support, including password resets, please visit our Support page.