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The title of Best in KLAS is a highly coveted recognition of outstanding efforts to help healthcare professionals deliver better patient care. It is reserved for vendor solutions that lead the software and services market segments with the broadest operational and clinical impact on healthcare organizations. ~KLAS Enterprises LLC Last month, Experian Health’s eCare NEXT® platform was awarded the highest score in the Patient Access category of the 2015/2016 Best in KLAS: Software & Services report. This is the 5th straight year Experian Health has received the highest ranking in the patient access category—3 years as Category Leader in Patient Access – Eligibility Checking and now 2 years Best in KLAS in the broader Patient Access category. The KLAS award confirms our strong commitment to continually provide advanced technology and revenue cycle products for our clients, and consistently develop enhancements and new solutions with them. We are proud of the collaboration between our progressive clients and our dedicated employees to ensure clients provide the best patient care experience, and achieve payment certainty for every patient. It’s a great honor that our clients continue to hold Experian Health’s solutions in such high regard that we have been recognized consistently by KLAS year after year. View Press Release View full list of Best in KLAS winners and Category Leaders

Episode management, particularly the 30-90 days post-discharge, is incredibly important for all types of healthcare entities seeking to succeed under value-based reimbursement. Millions of dollars in revenue, shared savings, and bundled payment contracts are at-risk when hospitals, ACOs, bundled payment conveners, and others don’t have visibility into their patient’s care after hospital discharge. Leading health care organizations are realizing the solution is not simply to hire an army of care managers, but rather, to supplement a care management team with focused automation to double or triple their productivity by sharing workflow and care management with the patient’s community providers, including independent MD offices, skilled nursing facilities (SNFs), home health agencies (HHAs), and others. Having the right care solutions in place is critical to ensuring successful episode management. View our on demand webinar to learn care coordination best practices and find out how Experian Health’s innovative solutions can help your organization: Reduce readmissions and manage episode/post-acute costs Maximize Medicare reimbursement, minimize Medicare penalties and, hopefully, earn bonuses Profit at and contract for bundled payments Maximize commercial reimbursement Improve outcomes and lower costs for greater fee for value (FFV) in the future Learn how Experian Health can help you success in the new FFV environment. Access our on demand Episode Management webinar.

In the 1930s, Ovaltine offered listeners of the Little Orphan Annie radio program a membership badge with a decoder ring that allowed listeners to replace numbers with letters and figure out secret messages – which usually urged them to drink Ovaltine.. Fast forward to 2015, and a decoder ring can be bought online for under $20. Unfortunately, these trinkets aren’t sophisticated enough to help practices and hospitals decipher reimbursement contracts and identify underpayments. Providers today require robust analytics and automated workflows, coupled with a level of support that goes far beyond an instruction manual to include continual updates to contract terms by skilled contract analysts. According to the American Hospital Association, combined Medicare and Medicaid underpayments were $51 billion in 2013. Private payers further contribute to underpayments, totaling a hefty financial gap for providers, regardless of care setting. It is imperative that providers across hospitals and medical groups take proactive measures to ensure they are paid fully and fairly for the care and services delivered. Incorporating automated solutions enables providers to fully decode the hidden “catches” in contracts while recovering underpayments. Understand how proposed contracts with payers affect your revenues When a payer assures you that proposed contract changes will benefit your organization, are you skeptical? Using contract analysis and modeling, you can accurately predict how a change in any of the hundreds of variables in third-party contracts will affect reimbursement for your precise mix of services. Not only can contract analysis let you see the overall impact of an individual contract, it also lets you precisely model revenues so you can see the gains or losses for each individual specialty, provider or service. By assessing which factors have the greatest impact on your reimbursement, you can refine your bargaining strategy to negotiate better-performing contracts.  Verify the accuracy of payment received from third-party payers Ensuring your contracts are as advantageous as possible is just half the battle; you still have to confirm that payments follow the guidelines of the contract. Complicating this process is the move to new reimbursement structures that bundle payments or base them on value rather than services. Verifying payment accuracy can easily bog down your team–unless you put the benefits of automation to work for you. Contract management and analysis solutions streamline workflow by auditing claims so you spend time only on those that require intervention. Through data-driven insight, you can conduct contract-based appeals and recover lost revenue. Together, these solutions assist in reviewing and modeling contracts, and then accurately identifying, appealing and recovering underpayments. With the ability to value the claims you file and evaluate overall contract performance, you decode the information locked away in data. All without a decoder ring. Don’t miss our upcoming webinar, “Overcoming the Three Ps: Payers Who Pay Poorly” Featured Speakers: Kristen Prenger, Director of Managed Care, Lake Regional Health System Rebecca Charo, Product Director, Experian Health Date: Thursday, May 21, 2015 Time: 11 a.m. PT/1 p.m. CT/2 p.m. ET Register now!

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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