How MBI Lookup tool can help providers post-CMS data breach

by Experian Health 5 min read October 10, 2023

How-MBI-Lookup-tool-can-help-providers-post-CMS-data-breach

In July this year, the Centers for Medicare & Medicaid Services (CMS) reported that a data breach in a contractor’s network may have compromised the data of more than 600,000 current Medicare beneficiaries. The breach, which occurred in May 2023, involved a vulnerability in file transfer software that enabled an unauthorized party to access beneficiaries’ personally identifiable information (PII) and protected health information (PHI). Some patients were issued with new Medicare Beneficiary Identifiers (MBIs) following the incident. The contractor also offered two years of Experian credit monitoring at no cost to those affected. However, providers may see an increase in patients who are confused or concerned about using their MBI card. Experian Health’s MBI Lookup service can help providers ensure that Medicare eligibility verification remains as efficient as possible.

Thousands of beneficiaries issued new MBI numbers

In response to the breach, CMS announced that 47,000 individuals would be mailed new MBI cards with new MBI numbers. However, as 612,000 patients were affected by the breach, there may be a significant number of people whose MBIs may change without notice. Since these individuals will not be able to use their old MBIs when trying to find Medicare coverage and benefits, there could be confusion among patients and providers who rely on MBIs to confirm a patient’s eligibility for Medicare coverage. It could also affect billing processes and claim status inquiries.

Experian Health reached out to CMS for clarification and received the following guidance:

  • If a Medicare beneficiary’s MBI number has changed, then their old (now inactive) MBI will return an AAA72 error when attempts are made to confirm coverage using the HIPAA Eligibility Transaction System (HETS).
  • The HETS 270/271 platform will accept historical 270 requests that use the patient’s new MBI. Old MBI numbers will only be accepted if that number was active during the Date(s) of Service noted on the request.

Providers should note that some patients may inadvertently use invalid MBI numbers and review processes for verifying Medicare eligibility accordingly.

Verifying Medicare eligibility with Experian Health’s MBI Lookup tool

Verifying active coverage can be a painstaking process, but it’s a vital step to confirm that planned services will be covered by the patient’s insurance provider. If a patient is unaware or cannot demonstrate eligibility for Medicare, then the provider cannot make a claim for reimbursement, and the patient may be left to pay a bill they cannot afford. Finding active coverage helps providers reduce the risk of bad debt.

Experian Health’s Insurance Eligibility Verification speeds up this process by accurately confirming coverage at the time of service. The process comes with an optional MBI Lookup feature, which checks transactions against MBI databases to see if the patient may be eligible for Medicare. If the patient has forgotten their MBI card, the tool will check to see if they’re included in the database, using their name, date of birth, and Social Security Number (SSN) or Health Insurance Claim Number (HICN).

The MBI Lookup service triggers on 270/271 transactions in the following cases:

  • Where the transaction fails because the subscriber is not found or their MBI number or other identification is missing or invalid (a “Traditional Medicare Failure”)
  • Where a commercial 270 inquiry returns a “Medicare Advantage Plan” or “Managed Care Plan” indication on the “Other Payer” or “Other Coverage” section of the 271 response
  • Where a commercial 270 transaction returns a failed response and the patient is aged 65 or older.

If the provider’s system attempts to use a patient’s old number, and the patient does not realize that they have a new number or card, MBI Lookup will find and verify their new MBI. When the tool is triggered, it finds active and verified MBI numbers in 60% of cases on average.

Find coverage faster with automated discovery tools

Kate Ankumah, Principal Product Manager of Eligibility Verification and Alerts at Experian Health, says the automated MBI Lookup service has proven especially useful during times of change:

“Providers relied on this service to verify Medicare coverage quickly when the pandemic hit, just as the industry was adjusting to the use of MBIs instead of their legacy HICN. Now, MBI Lookup can help providers smooth out the impact of data breaches involving Medicare beneficiaries with minimal fuss. It’s a reliable way to give patients clarity without placing any undue burden on staff.”

Insurance Eligibility Verification can be used alongside other automated coverage identification tools, such as Coverage Discovery®. Coverage Discovery scans government and commercial payer databases throughout the patient journey to find any previously unknown or forgotten coverage, eliminating the need for manual inquiries. Using multiple sources of data and tried-and-tested algorithms, these tools work together to locate coverage for patients, giving patients peace of mind and helping providers avoid uncompensated care. Both tools can be accessed via the eCareNext® platform, so staff can view eligibility responses and manage work queues through a single interface.

And of course, this recent breach is a stark reminder of the need to protect patient data. Using a single vendor with integrated software and data solutions can help reduce the risk of data getting into the wrong hands.

Find out more about how Experian Health’s Eligibility Verification solution and MBI Lookup tool can help providers verify active coverage and give patients peace of mind following a data breach.

Related Posts

Andy’s New WP Workflow Test Article Using Quick Edit

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.

October 2, 2026 by Andy.Monte@experian.com
Experian Health ranked #1 in Best in KLAS for 2025

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

February 5, 2025 by kelly.nguyen
How to increase patient engagement

Learn how providers can increase patient engagement, why it matters and key strategies that deliver improved end-to-end patient experiences.

January 30, 2025 by Experian Health

Spotlight test

Spotlight Description

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Sticky Subscribe Title

Sticky Subscribe Description
Sticky Subscribe

Testing Spotlight Paragraph block

Testing the spotlight block header

Archive Testing

Categories