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On March 17th, the Centers for Medicare & Medicaid Services Office of Minority Health (CMS OMH) released a new interactive map to increase understanding of geographic disparities in chronic disease among Medicare beneficiaries. The Mapping Medicare Disparities (MMD) Tool identifies disparities in health outcomes, utilization, and spending by race and ethnicity and geographic location. Understanding geographic differences in disparities is important to informing policy decisions and efficiently targeting populations and geographies for interventions. “Our commitment to health equity begins with properly measuring the care people get and having an honest dialogue on how and where we need to improve,” said CMS Acting Administrator Andy Slavitt. “Today’s tool aims to make it harder for disparities to go unaddressed.” Racial and ethnic minorities experience disproportionately high rates of chronic diseases, and are more likely to experience difficulty accessing high quality of care than other individuals. The identification of areas with large differences in the proportions of Medicare beneficiaries with chronic diseases is an important step for informing and planning health equity activities and initiatives. The Mapping Medicare Disparities Tool features: A dynamic interface with data on the prevalence of 18 chronic conditions, end stage renal disease, or a disability; Medicare spending, hospital and emergency department (ED) utilization, preventable hospitalizations, readmissions, and mortality rates. The ability to sort by state or county of residence, sex, age, dual-eligibility for Medicare and Medicaid, and race and ethnicity. Built-in benchmarking features to investigate disparities within counties and across racial and ethnic groups, and within racial and ethnic groups across counties. “It’s not enough to improve average health care quality in the U.S.,” said CMS OMH Director Cara James. “As the CMS Equity Plan lays out, we must identify gaps in quality of care at all levels of the health care system to address disparities. We are excited to share this new tool, which allows us to pinpoint disparities in health care outcomes by population and condition.” See the Medicare Mapping Disparities Tool here: https://www.cms.gov/About-CMS/Agency-Information/OMH/OMH-Mapping-Medicare-Disparities.html The Medicare Mapping Disparities Tool FAQ’s are here:https://www.cms.gov/About-CMS/Agency-Information/OMH/Downloads/MMDT-FAQs.pdf
Beginning in 2016, claims for CT (Computed Tomography) scans identified by the CPT codes listed below (and by successor codes) that are furnished on non-NEMA (National Electric Manufacturers Association) Standard XR-29-2013-compliant CT scans must include modifier “CT” that will result in an applicable payment reduction. 70450-70498 71250-71275 72125-72133 72191-72194 73200-73206 73700-73706 74150-74178 74261-74263 75571-75574 CMS Change Request (CR) 9250 informs providers that effective January 1, 2016, a payment reduction of 5 percent applies to CT services furnished on equipment that is inconsistent with the CT equipment standard and for which payment is made under the physician fee schedule. When such payment reductions are made, MACs will supply: Claim Adjustment Reason Code 237 – Legislated/Regulatory Penalty. At least one Remark Code must be provided (may be comprised of either the NCPDP Reject Reason Code, or Remittance Advice Remark Code that is not an ALERT.) Remittance Advice Remark Code N759 – Payment adjusted based on the National Electrical Manufacturers Association (NEMA) Standard XR-29-2013; and Group Code: CO (contractual obligation) The payment reduction increases 15 percent in 2017 and subsequent years. System attestation by providers will be verified through the periodic supplier accreditation process. Read the official instruction here: https://www.cms.gov/Regulations-and-Guidance/Guidance/Transmittals/Downloads/R3402CP.pdf
The Centers for Medicare & Medicaid Services (CMS) published a final rule February 11, 2016 that requires Medicare Parts A and B health care providers and suppliers to report and return overpayments by the later of the date that is 60 days after the date an overpayment was identified, or the due date of any corresponding cost report, if applicable. A separate final rule was published in the May 23, 2014 Federal Register (79 FR 29844) that addresses Medicare Parts C and D overpayments. Summary The requirements in this rule are meant to support compliance with applicable statutes, promote the furnishing of high quality care, and to protect the Medicare Trust Funds against improper payments, including fraudulent payment. This rule clarifies requirements for the reporting and returning of self-identified overpayments. Health care providers and suppliers have been and will remain subject to the statutory requirements found in section 1128J(d) of the Social Security Act (the Act) and could face potential False Claims Act (FCA) liability, Civil Monetary Penalties Law (CMPL) liability, and exclusion from federal health care programs for failure to report and return an overpayment. Health care providers and suppliers will also continue to be required to comply with current CMS procedures when we, or our contractors, determine an overpayment exists and issue a demand letter. Background Section 6402(a) of the Affordable Care Act established a new section 1128J(d) of the Act. Section 1128J(d)(1) of the Act requires a person who has received an overpayment to report and return the overpayment to the Secretary, the state, an intermediary, a carrier, or a contractor, as appropriate, at the correct address, and to notify the Secretary, state, intermediary, carrier, or contractor to whom the overpayment was returned in writing of the reason for the overpayment. Section 1128J(d)(2) of the Act requires that an overpayment be reported and returned by the later of: (A) the date which is 60 days after the date on which the overpayment was identified; or (B) the date any corresponding cost report is due, if applicable. Section 1128J(d)(3) of the Act specifies that any overpayment retained by a person after the deadline for reporting and returning an overpayment is an obligation (as defined in 31 U.S.C. 3729(b)(3)) for purposes of 31 U.S.C. 3729. In the February 16, 2012 Federal Register (77 FR 9179), CMS published a proposed rule to implement the provisions of section 1128J(d) of the Act for Medicare Parts A and B providers and suppliers. Major Provisions The major provisions of this final rule include clarifications around: the meaning of overpayment identification; the required lookback period for overpayment identification; and the methods available for reporting and returning identified overpayments to CMS. Meaning of “Identification” Section 1128J(d) of the Act provides that an overpayment must be reported and returned by the later of: (i) the date which is 60 days after the date on which the overpayment was identified; or (ii) the date any corresponding cost report is due, if applicable. This final rule states that a person has identified an overpayment when the person has or should have, through the exercise of reasonable diligence, determined that the person has received an overpayment and quantified the amount of the overpayment. Creating this standard for identification provides needed clarity and consistency for health care providers and suppliers regarding the actions they need to take to comply with requirements for reporting and returning of self-identified overpayments. Lookback Period Under this final rule, overpayments must be reported and returned only if a person identifies the overpayment within six years of the date the overpayment was received. Specifying the length and other parameters of the look back period provides additional clarity for providers and suppliers who have identified an overpayment that is covered by the provisions of 1128J(d). How to Report and Return Overpayments This final rule provides that providers and suppliers must use an applicable claims adjustment, credit balance, self-reported refund, or another appropriate process to satisfy the obligation to report and return overpayments. This approach for returning overpayments provides an array of familiar options from which providers and suppliers can select. This rule also provides that if a health care provider or supplier has reported a self-identified overpayment to either the Self-Referral Disclosure Protocol managed by CMS or the Self-Disclosure Protocol managed by the Office of the Inspector General (OIG), the provider or supplier is considered to be in compliance with the provisions of this rule as long as they are actively engaged in the respective protocol. View the final rule in the Federal Register here: https://www.gpo.gov/fdsys/pkg/FR-2016-02-12/pdf/2016-02789.pdf
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
Experian Health's State of Claims 2024 report reveals a worrying trend in healthcare claim denials, with nearly three-quarters of survey respondents reporting a rise. Around four in ten say claims are denied 10% of the time, with one in ten seeing denial rates above 15%. Denials at this scale, driven by various claim denial reasons, represent billions of dollars in lost or delayed reimbursements, so it's no wonder that reducing health insurance claim denials tops healthcare providers' “must-fix” list. However, despite being highly motivated to resolve the challenge, many organizations need more support to overcome operational roadblocks. Prior authorizations are taking longer to come through. Payer policy changes are more frequent. Patient information is increasingly inaccurate. For 65% of respondents, submitting clean claims is more complex than before the pandemic. With some wrangling more than three technological solutions and others lacking confidence about using automation and AI, providers seem to be struggling to find the sweet spot when tackling denials. This article looks at the reasons for increased claim denials, as well as how automation and artificial intelligence (AI) can help healthcare providers overcome these obstacles to increase operational efficiency and improve cash flow. Major operational challenges leading to increased claim denials Clarissa Riggins, Chief Product Officer at Experian Health, says that many providers are increasingly concerned that payers won't reimburse costs as denial rates increase, when discussing the State of Claims 2024 report. These concerns reflect operational challenges, including difficulty keeping track of pre-authorization requirements, inability to keep up with rapidly changing payer policies and inadequate front-end data collection. While staffing shortages are not among the top three claim denial reasons as they were last year, they are a continuing drag on efficiency for 43% of providers. Burdened by limited resources, these revenue cycle teams are more likely to make avoidable errors during claim submission—a problem that is affecting the four in ten providers who say they have limited resources to cross-check claims for errors. Riggins suggests that healthcare organizations look to technology to close the claims gap: “We had hoped to see a decrease in claim denials from our previous survey, but it's clear these significant challenges are continuing, adding immense pressure on providers to improve their revenue cycle management processes. This growing crisis is a sign that traditional approaches are no longer enough, and providers should adopt more proactive strategies and the latest technology to navigate this volatility.” Top reasons for healthcare claim denials Here are the top three claim denial reasons and how automation and AI can solve them: 1. Missing or inaccurate claims data Missing or inaccurate claims data is the number one operational challenge responsible for the increase in medical billing claim denials – among the top three challenges for 46% of respondents in the State of Claims 2024 survey. Submitting clean claims relies on getting data right the first time. It calls for speed and efficiency, which is impossible with slow, error-prone manual systems. Yet almost half of the respondents say their organizations are reviewing claims manually. While 54% of respondents believe their technology is sufficient to meet claims management demands, increasing errors and rising denials tell a different story. Revenue cycle leaders who embrace automation in their claims submission and denial prevention strategy set themselves up for smoother operations and a boost to the bottom line. Without the right automation to increase the speed and accuracy of claim submissions, valuable staff time and effort are wasted on manually processing error-prone claims, increasing the likelihood of denial. The lack of automation also places unnecessary strain on staff, diverting their attention from more complex claims issues. 2. Prior authorizations Claim denials often stem from poor communication between payer and provider systems, with the prior authorization process as a prime example. The process requires providers to seek agreement from the payer to cover a service or item before it is administered to the patient. Failure to do so results in the claim for that treatment being denied. Unfortunately, obtaining prior authorizations is not always straightforward; sometimes, the patient's treatment must begin before the authorization process is concluded. Other times, the authorization only covers certain aspects of the treatment. Not only is the prior authorization process complex, but it is also costly, laborious, and time-consuming to navigate successfully. According to the 2023 AMA Prior Authorization Physician Survey, physicians and their staff spend 12 hours per week completing prior authorizations, with almost all reporting physician burnout as a result. Providers must stay on top of frequent changes to payer policies, and staff must use multiple payer portals to track authorization requests. Unsurprisingly, authorizations are among the top three claim denial reasons for 36% of respondents in the State of Claims survey. As with any challenge involving digital systems “talking” to one another, authorizations are a great use case for automation. Automation can be used to check payer policy changes, alert staff when prior authorization is needed, gather relevant documentation, and review authorization requests for accuracy. This significantly reduces the burden on staff and minimizes the risk of claims being submitted without the necessary authorizations in place. Experian Health's Prior Authorizations technology automates authorization inquiries and checks requirements in real time. It uses AI to help users find and access the appropriate payer portal to speed up the authorization workflow. Users will have confidence that they're looking at the same account information and policy details as the payer, which means lengthy negotiations can be avoided. Staff also get accurate status updates on pending and denied submissions so they can take appropriate action and maximize reimbursement. 3. Inaccurate or incomplete patient data Even the slightest mistake or mismatch in a patient's name, address or insurance details can result in a denial, leading to payment delays and extra work for the staff. These denials are particularly frustrating because they should be avoidable. Automation can be used to pre-fill the patient's information before they arrive to avoid the errors that occur with manual input. This has the added benefit of accelerating registration. These solutions can also check for duplicate charges, missing fields and coding inaccuracies. For example, Claim Scrubber helps providers prepare error-free claims for processing by reviewing each line of the claim before it's submitted. ClaimSource® helps providers manage the entire claims cycle by creating custom work queues and automating claims processing to ensure that claims are clean the first time. Implementing technology to prevent claim denials The report details some of the strategies providers are using to try to reduce denials. These include upgrading existing claims process technology, automating or expanding patient portal claims reviews, and automating tracking of payer policy changes. More than half are motivated to adopt new technology to reduce manual input. This is exactly what Denial Workflow Manager is designed to do. It enables providers to track claim status and appeals and quickly identify those that need to be followed up on. It eliminates the need for manual review, while analysis and reporting give staff insights into the root causes of denials to optimize performance. This solution can be integrated with tools like Enhanced Claim Status, which sends automatic status requests based on the type of claim and specific payer timeframes. It generates accurate adjudication reports within 24-72 hours to accelerate the revenue cycle. The output is viewable in ClaimSource to streamline workflows and manage the claims process in a single online application. Automation and digital technology are also valuable counterweights to the shortage of qualified staff. While staffing shortages aren't as high on the list of concerns as in previous years, they remain a stubborn problem. By reducing the need for manual input, claims management can be accelerated while freeing staff to focus their attention where it matters most. Experian Health was client-rated #1 by Black Book™ ’24 in Denial & Claims Management Outsourcing, Health Systems. Learn more AI solutions for reducing claim denials Healthcare organizations can get more bang for their buck from automation by integrating these solutions alongside AI. Interestingly, the survey suggests that providers have mixed feelings towards AI: 35% of providers say they want solutions that leverage more AI and machine learning, yet only 8% are actually using them. Current ClaimSource users might consider AI Advantage™, which uses AI and automation to generate real-time insights for a proactive approach to denial management. It helps providers combat claim denials from two angles: AI Advantage – Predictive Denials uses AI to identify undocumented payer adjudication rules that result in new denials. It identifies claims with a high likelihood of denial based on an organization's historical payment data and allows them to intervene before claim submission. AI Advantage – Denial Triage comes into play if a claim has been denied. This component uses advanced algorithms to identify and intelligently segment denials based on potential value so that organizations can focus on resubmissions that most impact their bottom line. Doing so removes the guesswork, alleviates staff burdens, and eliminates time spent on low-value denials. This solution complements existing claims management workflows to help providers expedite claims processing, reduce denials, and maximize revenue. Another AI-powered solution helps prevent denials on the front end: Patient Access Curator allows patient access teams to capture multiple data points in seconds. This solution solves the “bad data” problem, using AI and robotic process automation to run checks for eligibility, coordination of benefits, Medicare Beneficiary Identifier, demographics and coverage discovery with a single click. The financial impact of denials and the ROI of technology Another paradoxical finding in the report is that while 47% of respondents see having AI technology as a competitive advantage, less than half say they'd be up for fully replacing their existing claims processing technology, even if presented with compelling ROI projections. Automation and AI can meaningfully impact the claims metrics that keep revenue cycle leaders awake at night – denial rates and clean claim rates being the top two. Patients also want to see improved performance when it comes to reducing denials. If healthcare organizations cannot offer a reliable, error-free system, they risk losing patients' trust and loyalty. Providers who demonstrate a well-managed claims system with swift and accurate results will inspire confidence and improve patient engagement. It's essential to assess how existing solutions perform against these metrics and implement upgraded solutions to deliver a more substantial ROI. AI and automation in practice How are Experian Health's clients using AI and automation to reduce claim denials? Here are a few examples: In only six months of adopting AI Advantage for claims processing and reducing claims denial, Schneck Medical Center saw denials fall by an average of 4.6% each month. In addition, the time needed to correct claims dropped from 15 to less than five minutes. The ambulatory clinic Summit Medical Group Oregon implemented Experian Health's claims management solutions, including Enhanced Claim Status and Claim Scrubber, to improve its registration and coding processes. These two solutions helped the team submit cleaner claims, resulting in a decrease in denials. As a result, the company now maintains a 92% primary clean claims rate. Another compelling example of the positive impact of technology on healthcare claims management is IU Health's experience with the all-in-one claim cycle management platform ClaimSource. With ClaimSource, IU Health managed the transmission of $632 million in claims in five days and processed $1.1 billion of claims backlog. Clients who have implemented Experian Health's Patient Access Curator have saved over $1 billion in denied claims, significantly boosting their bottom lines. Experian Health ranked #1 in Best In KLAS for our ClaimSource® claims management system – for the second consecutive year. Learn more Enhancing revenue cycles by addressing claim denial reasons By pinpointing the most common health insurance claim denial reasons and adopting automation and AI-driven solutions, providers can increase the first-pass clean claim rate, ramp up the likelihood of reimbursement, and reduce the overhead of reworking and resubmitting claims. Inevitably, hospitals will witness a surge in their financial performance. Contact us today to learn how data-driven claims management technology can help your organization reduce denied claims in healthcare and increase ROI. Improve claims management 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 Registration Accelerator and 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
