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While all hospitals and health systems will no doubt encounter revenue-specific challenges related to the pandemic, a solid foundation and targeted approach for improved collections can help speed up the road to recovery. In fact, it was Sanford Health’s unique approach to increasing patient collections that allowed it to both optimize collections during the pandemic and improve employee satisfaction and retention. Several years prior to COVID-19, Sanford took steps to improve collections with a patient-focused, hybrid approach that combines employee incentives with segmentation strategies. Leveraging Collections Optimization Manager and PatientDial from Experian Health, Sanford was able to quickly and easily streamline call center operations and increase collections in a myriad of ways – through new and updated patient addresses, patient-friendly billing statements, identifying new guarantors and more. With the above items in place, Sanford was already well positioned to seamlessly manage normal business operations during a pandemic. The organization was able to quickly adapt, and then build on that momentum to better serve its patients and staff, while also driving results. Since the start of COVID-19, Sanford has: Increased employee satisfaction with remote capabilities PatientDial allowed Sanford to seamlessly transition its call center team to work remote. Where about 30% of the workforce was remote prior to COVID-19, just shy of 99% of call center representatives are now remote. This has been a great source of employee satisfaction and safety and has aided in the system’s ability to keep the collections momentum going. Provided a more compassionate approach to collections Recognizing that this is a sensitive time for many, Sanford ensured the proper mechanisms were in place to identify those who required additional help, offering the best methods for collection possible. Sanford has not only created a billing indicator for patients affected by COVID-19, but Experian Health has provided additional insight with a weekly file of patients who are identified as possibly financially stressed. Improved collections during time of crisis While collections decreased for the quarter, Sanford saw a record increase in collections for the month of March — $800K more than the system saw in March of 2019.

Before working with Experian Health, call center operations at Sanford Health were disparate and disjointed, with each call center operating on a different phone system with different carriers. While some centers saw high abandonment rates, others were waiting around for calls. Although Sanford attempted to create balance by placing accounts in a work queue, the process for managing outbound collection calls remained manual and it was impossible to identify and strategically contact patients based on ability to pay. Sanford took steps to improve collections with a patient-focused, hybrid approach that combines employee incentives with segmentation strategies. Since working with Experian Health, Sanford now has a focused approach to managing accounts receivable (AR) by identifying patients with a certain propensity to pay. Collections Optimization Manager allows Sanford to quickly identify a pathway and delivery to resolution of the patient’s balance. The analytical segmentation models within Collections Optimization Manager use precise algorithms that reveal those patients who likely are eligible for charity services, those who might prefer to pay in full at a discount, or those who might benefit from a payment plan. The solution then feeds segmentation data to PatientDial, which Sanford uses to route calls to 70 patient account representatives. Sanford also implemented a re-designed, more user-friendly patient statement format. The improved cover page offers easy-to-understand information about the bill including the available options for payment. In a larger effort to improve the patient experience, Sanford implemented an employee incentive program that appropriately rewards staff based on their collections’ performance. Since working with Experian Health, Sanford has seen the following improvements: Streamlined call center operations. With PatientDial in place, Sanford was able to consolidate its call center team members in 4 regions and seamlessly operate on centralized toll free and direct dial numbers. Where it used to take on average 56 seconds for a call to be answered, calls are now answered in 20 seconds or less. The system now comfortably manages an average of 12,000 inbound calls weekly. Increased collections. The model in place has allowed Sanford to improve collections in a myriad of ways. In addition to increased collections from calls made through PatientDial, Sanford was able to see an additional $2.5M in patient payments by ensuring patient statements were sent to the new or correct address. The system found an additional $60K by identifying new guarantors for accounts of deceased patients. The segmentation capabilities from Experian Health also enabled Sanford to identify patients struggling with bankruptcy, allowing staff to focus their efforts on collectible accounts and more efficiently direct individuals to charity options. Learn more about Sanford Health’s journey and how a similar approach could help your organization improve collections and employee satisfaction.

Four in ten Americans live with multiple chronic conditions. For these individuals, life is punctuated with physician appointments, visits to the pharmacy and referrals to different specialists. Their care should be coordinated with orchestral precision, but the reality is somewhat less harmonious. Snail-paced scheduling systems, poor communication and mismatched patient records can lead to a lack of proper support for patients, confusion about how the care plan is managed, and potentially dangerous (and costly) gaps in care. For health plans, quality markers are missed and incentive payments start to dwindle.

Key takeaways: Revenue cycle teams can use automation to reduce repetitive work and apply AI where data-driven prediction, matching or prioritization can improve a workflow. Experian Health’s 2025 State of Claims survey found that 41% of providers now face denial rates of 10% or higher, while 68% say submitting clean claims is more challenging than a year ago. Patient Access Curator™ (PAC) uses AI to support front-end data validation and insurance discovery, while AI Advantage™ helps teams predict denial risk and prioritize denial follow-up. Artificial intelligence (AI) and automation can support administrative work in healthcare. In the revenue cycle, teams depend on accurate information, timely decisions and efficient follow-up to keep claims moving. In revenue cycle management, AI and automation can help organizations reduce manual checks, find data gaps, predict denial risk and prioritize work queues. These tools are most useful when they support staff judgment, payer expertise and compliance oversight. They can handle repetitive, data-heavy tasks so staff can focus on exceptions and decisions that need human review. In 2023, McKinsey & Company reported that research suggests effectively deploying automation and analytics could eliminate $200 billion to $360 billion of spending in U.S. healthcare. For revenue cycle leaders, the practical question is where to apply those capabilities first. The case for applying AI and automation in healthcare Revenue cycle teams juggle many daily tasks. Staff collect and verify patient information, confirm eligibility, identify the right payer, submit clean claims, monitor status, work denials and manage collections. Small data gaps at the beginning of the process can create downstream rework and delays. Rework also consumes staff time, adding to these operational pressures. As costs rise and revenue cycles tighten, there is increasing pressure to do more with less. Experian Health’s 2025 State of Claims survey found that 54% of providers say claim errors are increasing and 90% of claim denials are reworked with at least some human review before resubmission. Providers are also managing broader financial and administrative pressures. The American Hospital Association has reported that prior authorization requirements, claim audits, denials and other payer policies add administrative burden and cost for hospitals and health systems. These requirements also consume staff time to appeal denials and manage payer processes. AI and automation are different but complementary. Automation follows defined rules to complete repeatable work. AI models can identify patterns in data, predict risk and help teams decide where to focus attention. When used together, they can support more consistent revenue cycle workflows. How AI and automation can support revenue cycle workflows Revenue cycle management automation and AI are most useful when tied to a specific workflow and a measurable operational problem. The goal is to help teams act earlier, reduce avoidable rework and focus staff time where judgment is needed most. For example, automation can complete rule-based eligibility checks. AI can help identify claims with a higher likelihood of denial. In insurance discovery workflows, AI can also help identify coverage that wasn’t captured at registration. When these tools fit into existing workflows, they can support more consistent decisions and reduce manual work. Three practical applications include: 1. Improving front-end data quality with Patient Access Curator Patient and coverage information collected early in the revenue cycle can affect downstream claim outcomes. Incomplete or outdated demographic details, eligibility responses, coordination of benefits or Medicare Beneficiary Identifier information can create problems that lead to claim delays or denials later in the cycle. Experian Health’s Patient Access Curator helps prevent claim denials by validating demographics, eligibility, insurance discovery, coordination of benefits and Medicare Beneficiary Identifier data in seconds. PAC’s AI and machine learning capabilities help improve match accuracy, coverage sequencing and data confidence by writing the validated data back into the host system and sequencing payers before the claim is created. This automates work that would otherwise require manual coverage checks. 2. Using insurance discovery to find coverage not captured at registration When active coverage isn’t identified during registration, claims may be delayed or submitted with incomplete insurance information. Insurance discovery looks for coverage that may not have been captured during registration. Patient Access Curator includes insurance discovery as part of its front-end validation workflow. It can help identify and correct missing or incorrect insurance information so claims can be submitted with more complete coverage data. 3. Using AI to prevent and prioritize denials Even with strong front-end processes, some claims still require additional attention. AI can help claims teams decide which claims to review before submission and which denials to work first after payer response. Experian Health’s AI Advantage supports two denial management use cases:1. AI Advantage – Predictive Denials uses a client’s historical claims data and Experian’s knowledge of payer rules to identify claims with a high likelihood of denial before submission so teams can take corrective action.2. AI Advantage – Denial Triage uses AI to segment denials and identify those with the highest potential for reimbursement. This approach can help teams prioritize with more confidence. Rather than treating every claim or denial the same way, teams can use predictive models to focus on the work that needs the most attention. Potential benefits of AI and automation in the revenue cycle A high-performing revenue cycle depends on timely, accurate and consistent work. AI and automation can help providers modernize that work without losing the expertise of the people who manage complex payer and patient situations every day. When applied to the right workflows, these tools can help organizations: Reduce manual data searches that take staff away from higher-value work Improve front-end data quality before claims are created Identify missing or incorrect coverage information earlier Spot claims that may be at higher risk of denial Prioritize denied claims by potential reimbursement Reduce rework caused by inaccurate or incomplete information Give staff more consistent information for follow-up decisions A focused AI strategy starts with the workflow problem, uses data that is relevant to that problem and keeps staff in control of judgment-based decisions. A more proactive approach to revenue cycle management Revenue cycle teams can move from reactive work toward a more proactive approach: catch errors earlier, validate coverage before claims are created and prioritize the claims and denials that need the most attention. Experian Health offers revenue cycle solutions that use AI and automation in targeted ways to support front-end data quality, reduce rework and manage denials. Patient Access Curator supports registration and coverage validation, while AI Advantage supports denial prediction and triage. Learn more about Experian Health’s Patient Access Curator and AI Advantage.

Experian Health is very pleased to announce that we’ve ranked #1 in the 2025 Best in KLAS: Software & Services report, for our Contract Manager and Contract Analysis product, for the third consecutive year. Contract Manager, when paired with Contract Analysis, empowers healthcare providers by ensuring payers comply with contract terms, identifying and recovering underpayments, and arming them with real claims data to negotiate contracts. This enables providers to negotiate more favorable terms and maintain financial stability.  Clarissa Riggins, Chief Product Officer at Experian Health, says, “In the ever-evolving healthcare landscape, our Contract Manager solution has once again been recognized as the #1 Revenue Cycle Management tool by KLAS for the third consecutive year. This prestigious ranking underscores the significant value our solution delivers to our clients by identifying underpayments and facilitating revenue recovery. We are honored to continue supporting our clients with innovative solutions that drive financial success and operational efficiency.”  Learn more about how Contract Manager and Contract Analysis can help your healthcare organization validate reimbursement accuracy, recover underpayments and boost revenue.   Learn more Contact us

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